2025-08-26T19:45:19.5618950Z Current runner version: '2.328.0'
2025-08-26T19:45:19.5622120Z Runner name: 'i-070c7c68d4a390303'
2025-08-26T19:45:19.5622540Z Runner group name: 'default'
2025-08-26T19:45:19.5623060Z Machine name: 'ip-10-0-3-208'
2025-08-26T19:45:19.5624580Z ##[group]GITHUB_TOKEN Permissions
2025-08-26T19:45:19.5625640Z Contents: read
2025-08-26T19:45:19.5625960Z Metadata: read
2025-08-26T19:45:19.5626250Z ##[endgroup]
2025-08-26T19:45:19.5627300Z Secret source: Actions
2025-08-26T19:45:19.5627660Z Prepare workflow directory
2025-08-26T19:45:21.0752800Z Prepare all required actions
2025-08-26T19:45:21.0779670Z Getting action download info
2025-08-26T19:45:21.2385300Z Download action repository 'pytorch/test-infra@main' (SHA:0192d56cb596bb73b125bd368553908cc5c513f0)
2025-08-26T19:45:21.8334500Z Download action repository 'pytorch/pytorch@main' (SHA:77bc959fe122bfd131e339ca36cab445a1860806)
2025-08-26T19:45:26.8070090Z Getting action download info
2025-08-26T19:45:26.9285190Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-08-26T19:45:27.1752590Z Getting action download info
2025-08-26T19:45:27.3300570Z Uses: pytorch/pytorch/.github/workflows/_mac-test.yml@refs/heads/main (262640fd220236042fbf4443cc163c8838c84c3d)
2025-08-26T19:45:27.3303580Z ##[group] Inputs
2025-08-26T19:45:27.3303850Z   build-environment: macos-py3-arm64
2025-08-26T19:45:27.3305000Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}
2025-08-26T19:45:27.3306060Z   sync-tag: 
2025-08-26T19:45:27.3306290Z   python-version: 3.12.7
2025-08-26T19:45:27.3306930Z   timeout-minutes: 270
2025-08-26T19:45:27.3307390Z   disable-monitor: false
2025-08-26T19:45:27.3307690Z   monitor-log-interval: 5
2025-08-26T19:45:27.3308000Z   monitor-data-collect-interval: 1
2025-08-26T19:45:27.3308270Z ##[endgroup]
2025-08-26T19:45:27.3308600Z Complete job name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-26T19:45:27.3608150Z ##[group]Run sysctl machdep.cpu.brand_string kern.osproductversion
2025-08-26T19:45:27.3608580Z sysctl machdep.cpu.brand_string kern.osproductversion
2025-08-26T19:45:27.3637730Z shell: /bin/bash -e -l {0}
2025-08-26T19:45:27.3638030Z env:
2025-08-26T19:45:27.3638170Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:45:27.3638350Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:45:27.3638540Z   TEST_CONFIG: default
2025-08-26T19:45:27.3638690Z   SHARD_NUMBER: 1
2025-08-26T19:45:27.3638830Z   NUM_TEST_SHARDS: 3
2025-08-26T19:45:27.3638970Z   PR_BODY: 
2025-08-26T19:45:27.3639110Z ##[endgroup]
2025-08-26T19:45:28.5102020Z machdep.cpu.brand_string: Apple M1
2025-08-26T19:45:28.5102300Z kern.osproductversion: 14.4.1
2025-08-26T19:45:28.5148270Z ##[group]Run for PROCESS in "python" "conda" "ninja" "clang"; do
2025-08-26T19:45:28.5148600Z for PROCESS in "python" "conda" "ninja" "clang"; do
2025-08-26T19:45:28.5148880Z   echo "Cleaning up all remaining ${PROCESS} process"
2025-08-26T19:45:28.5149120Z   pkill "${PROCESS}" || true
2025-08-26T19:45:28.5149290Z done
2025-08-26T19:45:28.5163840Z shell: /bin/bash -e -l {0}
2025-08-26T19:45:28.5164000Z env:
2025-08-26T19:45:28.5164140Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:45:28.5164310Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:45:28.5164490Z   TEST_CONFIG: default
2025-08-26T19:45:28.5164640Z   SHARD_NUMBER: 1
2025-08-26T19:45:28.5164780Z   NUM_TEST_SHARDS: 3
2025-08-26T19:45:28.5164920Z   PR_BODY: 
2025-08-26T19:45:28.5165080Z ##[endgroup]
2025-08-26T19:45:29.1224400Z Cleaning up all remaining python process
2025-08-26T19:45:29.1268340Z Cleaning up all remaining conda process
2025-08-26T19:45:29.1357770Z Cleaning up all remaining ninja process
2025-08-26T19:45:29.1402070Z Cleaning up all remaining clang process
2025-08-26T19:45:29.1469000Z ##[group]Run if brew list miniconda; then
2025-08-26T19:45:29.1469260Z if brew list miniconda; then
2025-08-26T19:45:29.1469450Z   brew uninstall miniconda
2025-08-26T19:45:29.1469680Z   echo "REINSTALL_BREW_MINICONDA=1" >> "${GITHUB_ENV}"
2025-08-26T19:45:29.1469900Z fi
2025-08-26T19:45:29.1484600Z shell: /bin/bash -e -l {0}
2025-08-26T19:45:29.1484770Z env:
2025-08-26T19:45:29.1484900Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:45:29.1485060Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:45:29.1485290Z   TEST_CONFIG: default
2025-08-26T19:45:29.1485460Z   SHARD_NUMBER: 1
2025-08-26T19:45:29.1485590Z   NUM_TEST_SHARDS: 3
2025-08-26T19:45:29.1485750Z   PR_BODY: 
2025-08-26T19:45:29.1485860Z ##[endgroup]
2025-08-26T19:45:30.7225620Z /opt/homebrew/Caskroom/miniconda/.metadata/INSTALL_RECEIPT.json
2025-08-26T19:45:30.7226490Z /opt/homebrew/Caskroom/miniconda/.metadata/config.json
2025-08-26T19:45:30.7227020Z /opt/homebrew/Caskroom/miniconda/.metadata/py313_25.7.0-2/20250826191528.079/Casks/miniconda.json
2025-08-26T19:45:30.7227520Z /opt/homebrew/Caskroom/miniconda/py313_25.7.0-2/Miniconda3-py313_25.7.0-2-MacOSX-arm64.sh
2025-08-26T19:45:30.7228000Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_recursion_limit.3
2025-08-26T19:45:30.7228370Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2syntax.3
2025-08-26T19:45:30.7228680Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2jit.3
2025-08-26T19:45:30.7229020Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2demo.3
2025-08-26T19:45:30.7229430Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_offset_limit.3
2025-08-26T19:45:30.7230090Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_context_create.3
2025-08-26T19:45:30.7230520Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2serialize.3
2025-08-26T19:45:30.7231210Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_bsr.3
2025-08-26T19:45:30.7231760Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2unicode.3
2025-08-26T19:45:30.7232500Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_get_bynumber.3
2025-08-26T19:45:30.7233350Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_copy_byname.3
2025-08-26T19:45:30.7233770Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2api.3
2025-08-26T19:45:30.7245400Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_parens_nest_limit.3
2025-08-26T19:45:30.7245870Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_startchar.3
2025-08-26T19:45:30.7246230Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2limits.3
2025-08-26T19:45:30.7246620Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_recursion_memory_management.3
2025-08-26T19:45:30.7247040Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_newline.3
2025-08-26T19:45:30.7247420Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_depth_limit.3
2025-08-26T19:45:30.7247790Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_data_free.3
2025-08-26T19:45:30.7248210Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile_context_free.3
2025-08-26T19:45:30.7248630Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_max_pattern_length.3
2025-08-26T19:45:30.7249030Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2matching.3
2025-08-26T19:45:30.7250070Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_stack_free.3
2025-08-26T19:45:30.7251180Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_callout.3
2025-08-26T19:45:30.7251640Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_code_copy_with_tables.3
2025-08-26T19:45:30.7252050Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_glob_escape.3
2025-08-26T19:45:30.7252470Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_compile_extra_options.3
2025-08-26T19:45:30.7252850Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2.3
2025-08-26T19:45:30.7253160Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2perform.3
2025-08-26T19:45:30.7254350Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_pattern_info.3
2025-08-26T19:45:30.7254780Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_substitute_callout.3
2025-08-26T19:45:30.7255200Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_stack_create.3
2025-08-26T19:45:30.7255550Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2build.3
2025-08-26T19:45:30.7255930Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_length_byname.3
2025-08-26T19:45:30.7256360Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_free.3
2025-08-26T19:45:30.7256730Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_dfa_match.3
2025-08-26T19:45:30.7257070Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2convert.3
2025-08-26T19:45:30.7257390Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_match.3
2025-08-26T19:45:30.7257760Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_nametable_scan.3
2025-08-26T19:45:30.7258130Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match.3
2025-08-26T19:45:30.7258490Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_converted_pattern_free.3
2025-08-26T19:45:30.7258890Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_heap_limit.3
2025-08-26T19:45:30.7259300Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_number_from_name.3
2025-08-26T19:45:30.7259710Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_pattern_convert.3
2025-08-26T19:45:30.7260090Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_maketables.3
2025-08-26T19:45:30.7260450Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_context_free.3
2025-08-26T19:45:30.7260800Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_code_free.3
2025-08-26T19:45:30.7261150Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_compile.3
2025-08-26T19:45:30.7261490Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile.3
2025-08-26T19:45:30.7262390Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_ovector_pointer.3
2025-08-26T19:45:30.7263080Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_list_get.3
2025-08-26T19:45:30.7263840Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_general_context_free.3
2025-08-26T19:45:30.7264600Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_match_data_size.3
2025-08-26T19:45:30.7265280Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_convert_context_copy.3
2025-08-26T19:45:30.7265980Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_character_tables.3
2025-08-26T19:45:30.7266760Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_error_message.3
2025-08-26T19:45:30.7267490Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile_context_create.3
2025-08-26T19:45:30.7268170Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_glob_separator.3
2025-08-26T19:45:30.7268880Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_maketables_free.3
2025-08-26T19:45:30.7269590Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_convert_context_free.3
2025-08-26T19:45:30.7270300Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_decode.3
2025-08-26T19:45:30.7271020Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_general_context_copy.3
2025-08-26T19:45:30.7271630Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_code_copy.3
2025-08-26T19:45:30.7272190Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2compat.3
2025-08-26T19:45:30.7273150Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_data_create_from_pattern.3
2025-08-26T19:45:30.7273760Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_match_limit.3
2025-08-26T19:45:30.7274450Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_context_copy.3
2025-08-26T19:45:30.7275170Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_encode.3
2025-08-26T19:45:30.7275770Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substitute.3
2025-08-26T19:45:30.7276540Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_ovector_count.3
2025-08-26T19:45:30.7277290Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_mark.3
2025-08-26T19:45:30.7277810Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_stack_assign.3
2025-08-26T19:45:30.7278700Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_list_free.3
2025-08-26T19:45:30.7279150Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2callout.3
2025-08-26T19:45:30.7279880Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_data_create.3
2025-08-26T19:45:30.7280720Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_get_byname.3
2025-08-26T19:45:30.7281340Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_copy_bynumber.3
2025-08-26T19:45:30.7282040Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2sample.3
2025-08-26T19:45:30.7282710Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_length_bynumber.3
2025-08-26T19:45:30.7283270Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2partial.3
2025-08-26T19:45:30.7283900Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2posix.3
2025-08-26T19:45:30.7284830Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_convert_context_create.3
2025-08-26T19:45:30.7285920Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile_context_copy.3
2025-08-26T19:45:30.7286540Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_config.3
2025-08-26T19:45:30.7287360Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_compile_recursion_guard.3
2025-08-26T19:45:30.7288150Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_get_number_of_codes.3
2025-08-26T19:45:30.7288890Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_general_context_create.3
2025-08-26T19:45:30.7289620Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_free_unused_memory.3
2025-08-26T19:45:30.7290310Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_callout_enumerate.3
2025-08-26T19:45:30.7290970Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_free.3
2025-08-26T19:45:30.7291580Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2pattern.3
2025-08-26T19:45:30.7292110Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzegrep.1
2025-08-26T19:45:30.7292800Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzmore.1
2025-08-26T19:45:30.7293330Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzdiff.1
2025-08-26T19:45:30.7293790Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzfgrep.1
2025-08-26T19:45:30.7294320Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzip2.1
2025-08-26T19:45:30.7294980Z /opt/homebrew/Caskroom/miniconda/base/man/man1/pcre2grep.1
2025-08-26T19:45:30.7295560Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzcmp.1
2025-08-26T19:45:30.7296010Z /opt/homebrew/Caskroom/miniconda/base/man/man1/pcre2test.1
2025-08-26T19:45:30.7296550Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzgrep.1
2025-08-26T19:45:30.7297200Z /opt/homebrew/Caskroom/miniconda/base/man/man1/pcre2-config.1
2025-08-26T19:45:30.7297940Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzless.1
2025-08-26T19:45:30.7298750Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/conda-libmamba-solver-25.4.0-pyhd3eb1b0_0.json
2025-08-26T19:45:30.7299510Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/pygments-2.19.1-py313hca03da5_0.json
2025-08-26T19:45:30.7300340Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/nlohmann_json-3.11.2-h313beb8_0.json
2025-08-26T19:45:30.7301270Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/pkce-1.0.3-py313hca03da5_0.json
2025-08-26T19:45:30.7302000Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/python-dotenv-1.1.0-py313hca03da5_0.json
2025-08-26T19:45:30.7302660Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/fmt-9.1.0-h48ca7d4_1.json
2025-08-26T19:45:30.7303570Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/jsonpointer-3.0.0-py313hca03da5_0.json
2025-08-26T19:45:30.7304260Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/tzdata-2025b-h04d1e81_0.json
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2025-08-26T19:45:30.7556030Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlIO.h
2025-08-26T19:45:30.7557090Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/HTMLparser.h
2025-08-26T19:45:30.7558010Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlautomata.h
2025-08-26T19:45:30.7558850Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlsave.h
2025-08-26T19:45:30.7559930Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlstring.h
2025-08-26T19:45:30.7560810Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xpath.h
2025-08-26T19:45:30.7561870Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/valid.h
2025-08-26T19:45:30.7563020Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlschemastypes.h
2025-08-26T19:45:30.7563920Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/c14n.h
2025-08-26T19:45:30.7564770Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlmodule.h
2025-08-26T19:45:30.7565610Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/relaxng.h
2025-08-26T19:45:30.7566610Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/nanohttp.h
2025-08-26T19:45:30.7567670Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlunicode.h
2025-08-26T19:45:30.7568510Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlwriter.h
2025-08-26T19:45:30.7569550Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlmemory.h
2025-08-26T19:45:30.7570400Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xpathInternals.h
2025-08-26T19:45:30.7571310Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/nanoftp.h
2025-08-26T19:45:30.7572080Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/hash.h
2025-08-26T19:45:30.7572960Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlschemas.h
2025-08-26T19:45:30.7573800Z /opt/homebrew/Caskroom/miniconda/base/include/nghttp2/nghttp2ver.h
2025-08-26T19:45:30.7574580Z /opt/homebrew/Caskroom/miniconda/base/include/nghttp2/nghttp2.h
2025-08-26T19:45:30.7575280Z /opt/homebrew/Caskroom/miniconda/base/include/pqStubs.h
2025-08-26T19:45:30.7576020Z /opt/homebrew/Caskroom/miniconda/base/include/tclOODecls.h
2025-08-26T19:45:30.7576760Z /opt/homebrew/Caskroom/miniconda/base/include/zdict.h
2025-08-26T19:45:30.7577670Z /opt/homebrew/Caskroom/miniconda/base/include/cursesf.h
2025-08-26T19:45:30.7578620Z /opt/homebrew/Caskroom/miniconda/base/include/itclTclIntStubsFcn.h
2025-08-26T19:45:30.7579260Z /opt/homebrew/Caskroom/miniconda/base/include/ares_version.h
2025-08-26T19:45:30.7580290Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/termcap.h
2025-08-26T19:45:30.7581270Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesp.h
2025-08-26T19:45:30.7582030Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesf.h
2025-08-26T19:45:30.7582790Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/etip.h
2025-08-26T19:45:30.7583570Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/form.h
2025-08-26T19:45:30.7584500Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesw.h
2025-08-26T19:45:30.7585490Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/unctrl.h
2025-08-26T19:45:30.7586240Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesapp.h
2025-08-26T19:45:30.7586930Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/term.h
2025-08-26T19:45:30.7587890Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursslk.h
2025-08-26T19:45:30.7588790Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/panel.h
2025-08-26T19:45:30.7589770Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/ncurses.h
2025-08-26T19:45:30.7590700Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/eti.h
2025-08-26T19:45:30.7591610Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/ncurses_dll.h
2025-08-26T19:45:30.7592580Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/term_entry.h
2025-08-26T19:45:30.7593270Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/menu.h
2025-08-26T19:45:30.7594100Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesm.h
2025-08-26T19:45:30.7594890Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/curses.h
2025-08-26T19:45:30.7596050Z /opt/homebrew/Caskroom/miniconda/base/include/tclPort.h
2025-08-26T19:45:30.7596570Z /opt/homebrew/Caskroom/miniconda/base/include/etip.h
2025-08-26T19:45:30.7597250Z /opt/homebrew/Caskroom/miniconda/base/include/tkDList.h
2025-08-26T19:45:30.7597790Z /opt/homebrew/Caskroom/miniconda/base/include/itclIntDecls.h
2025-08-26T19:45:30.7598330Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXFont.h
2025-08-26T19:45:30.7598890Z /opt/homebrew/Caskroom/miniconda/base/include/tkUnixInt.h
2025-08-26T19:45:30.7599500Z /opt/homebrew/Caskroom/miniconda/base/include/test_data.hpp
2025-08-26T19:45:30.7600150Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/translit.h
2025-08-26T19:45:30.7600770Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustdio.h
2025-08-26T19:45:30.7601390Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf_old.h
2025-08-26T19:45:30.7602000Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucsdet.h
2025-08-26T19:45:30.7602730Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tzfmt.h
2025-08-26T19:45:30.7603200Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ubrk.h
2025-08-26T19:45:30.7603900Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ufieldpositer.h
2025-08-26T19:45:30.7604680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/localematcher.h
2025-08-26T19:45:30.7605230Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stringpiece.h
2025-08-26T19:45:30.7605830Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucat.h
2025-08-26T19:45:30.7606430Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tblcoll.h
2025-08-26T19:45:30.7607110Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stringoptions.h
2025-08-26T19:45:30.7607770Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtfmtsym.h
2025-08-26T19:45:30.7608370Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unirepl.h
2025-08-26T19:45:30.7609000Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ptypes.h
2025-08-26T19:45:30.7609600Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/fmtable.h
2025-08-26T19:45:30.7610290Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtitvfmt.h
2025-08-26T19:45:30.7610890Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/choicfmt.h
2025-08-26T19:45:30.7611690Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumberrangeformatter.h
2025-08-26T19:45:30.7612430Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numberrangeformatter.h
2025-08-26T19:45:30.7613200Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usetiter.h
2025-08-26T19:45:30.7613680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/errorcode.h
2025-08-26T19:45:30.7614310Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tznames.h
2025-08-26T19:45:30.7614910Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtintrv.h
2025-08-26T19:45:30.7615750Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usimplenumberformatter.h
2025-08-26T19:45:30.7616290Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucurr.h
2025-08-26T19:45:30.7616960Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/icuplug.h
2025-08-26T19:45:30.7617560Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uregion.h
2025-08-26T19:45:30.7618280Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utext.h
2025-08-26T19:45:30.7618770Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/edits.h
2025-08-26T19:45:30.7619460Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/parsepos.h
2025-08-26T19:45:30.7620040Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucal.h
2025-08-26T19:45:30.7620650Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/fpositer.h
2025-08-26T19:45:30.7621320Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtitvinf.h
2025-08-26T19:45:30.7621900Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rbnf.h
2025-08-26T19:45:30.7622490Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udat.h
2025-08-26T19:45:30.7623120Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/urep.h
2025-08-26T19:45:30.7623680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf32.h
2025-08-26T19:45:30.7624400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/vtzone.h
2025-08-26T19:45:30.7625250Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustring.h
2025-08-26T19:45:30.7625690Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ubiditransform.h
2025-08-26T19:45:30.7626360Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uenum.h
2025-08-26T19:45:30.7626980Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umutablecptrie.h
2025-08-26T19:45:30.7627590Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/appendable.h
2025-08-26T19:45:30.7628230Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usearch.h
2025-08-26T19:45:30.7628950Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numsys.h
2025-08-26T19:45:30.7629510Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/timezone.h
2025-08-26T19:45:30.7630090Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uset.h
2025-08-26T19:45:30.7630690Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/casemap.h
2025-08-26T19:45:30.7631280Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/coleitr.h
2025-08-26T19:45:30.7632080Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/schriter.h
2025-08-26T19:45:30.7632640Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/msgfmt.h
2025-08-26T19:45:30.7633140Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/fieldpos.h
2025-08-26T19:45:30.7633770Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/simpletz.h
2025-08-26T19:45:30.7634430Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucpmap.h
2025-08-26T19:45:30.7635050Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uldnames.h
2025-08-26T19:45:30.7635830Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumberformatter.h
2025-08-26T19:45:30.7636360Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uiter.h
2025-08-26T19:45:30.7636970Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umsg.h
2025-08-26T19:45:30.7637820Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/sortkey.h
2025-08-26T19:45:30.7638470Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/simplenumberformatter.h
2025-08-26T19:45:30.7639060Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/docmain.h
2025-08-26T19:45:30.7639630Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uniset.h
2025-08-26T19:45:30.7640260Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/basictz.h
2025-08-26T19:45:30.7640840Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udata.h
2025-08-26T19:45:30.7641790Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stringtriebuilder.h
2025-08-26T19:45:30.7642270Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/chariter.h
2025-08-26T19:45:30.7642930Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umisc.h
2025-08-26T19:45:30.7643560Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/reldatefmt.h
2025-08-26T19:45:30.7644120Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uloc.h
2025-08-26T19:45:30.7644740Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/plurrule.h
2025-08-26T19:45:30.7645480Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uformattednumber.h
2025-08-26T19:45:30.7646180Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/bytestriebuilder.h
2025-08-26T19:45:30.7646760Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/measunit.h
2025-08-26T19:45:30.7647370Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utrace.h
2025-08-26T19:45:30.7648010Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/locdspnm.h
2025-08-26T19:45:30.7648740Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/gregocal.h
2025-08-26T19:45:30.7656380Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uchriter.h
2025-08-26T19:45:30.7656750Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/enumset.h
2025-08-26T19:45:30.7657080Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/nounit.h
2025-08-26T19:45:30.7657400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf.h
2025-08-26T19:45:30.7657710Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/measure.h
2025-08-26T19:45:30.7658050Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tzrule.h
2025-08-26T19:45:30.7658380Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/strenum.h
2025-08-26T19:45:30.7658700Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/regex.h
2025-08-26T19:45:30.7659020Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/gender.h
2025-08-26T19:45:30.7659340Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dcfmtsym.h
2025-08-26T19:45:30.7659670Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnv_err.h
2025-08-26T19:45:30.7660000Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/decimfmt.h
2025-08-26T19:45:30.7660330Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/bytestrie.h
2025-08-26T19:45:30.7660660Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udatpg.h
2025-08-26T19:45:30.7661010Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/listformatter.h
2025-08-26T19:45:30.7661360Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uobject.h
2025-08-26T19:45:30.7661680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/calendar.h
2025-08-26T19:45:30.7662270Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ures.h
2025-08-26T19:45:30.7662600Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/normlzr.h
2025-08-26T19:45:30.7662930Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usprep.h
2025-08-26T19:45:30.7663480Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/urename.h
2025-08-26T19:45:30.7664630Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/caniter.h
2025-08-26T19:45:30.7665390Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucol.h
2025-08-26T19:45:30.7666440Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/upluralrules.h
2025-08-26T19:45:30.7667100Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucharstrie.h
2025-08-26T19:45:30.7668070Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tmunit.h
2025-08-26T19:45:30.7668650Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unistr.h
2025-08-26T19:45:30.7669550Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rbbi.h
2025-08-26T19:45:30.7670780Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ulocdata.h
2025-08-26T19:45:30.7671110Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/idna.h
2025-08-26T19:45:30.7671830Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unorm2.h
2025-08-26T19:45:30.7672920Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/localebuilder.h
2025-08-26T19:45:30.7673630Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtptngen.h
2025-08-26T19:45:30.7674490Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dbbi.h
2025-08-26T19:45:30.7675590Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/bytestream.h
2025-08-26T19:45:30.7676470Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uversion.h
2025-08-26T19:45:30.7677420Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/messagepattern.h
2025-08-26T19:45:30.7678180Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uidna.h
2025-08-26T19:45:30.7679140Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/filteredbrk.h
2025-08-26T19:45:30.7679960Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tmutamt.h
2025-08-26T19:45:30.7680940Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/char16ptr.h
2025-08-26T19:45:30.7681890Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uformattedvalue.h
2025-08-26T19:45:30.7682830Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/symtable.h
2025-08-26T19:45:30.7683580Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucasemap.h
2025-08-26T19:45:30.7684420Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucoleitr.h
2025-08-26T19:45:30.7685640Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/compactdecimalformat.h
2025-08-26T19:45:30.7686370Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unum.h
2025-08-26T19:45:30.7687210Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udisplaycontext.h
2025-08-26T19:45:30.7688560Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tztrans.h
2025-08-26T19:45:30.7689380Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umachine.h
2025-08-26T19:45:30.7690050Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numberformatter.h
2025-08-26T19:45:30.7691040Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/datefmt.h
2025-08-26T19:45:30.7692080Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utmscale.h
2025-08-26T19:45:30.7692810Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/coll.h
2025-08-26T19:45:30.7693830Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/currpinf.h
2025-08-26T19:45:30.7694630Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uregex.h
2025-08-26T19:45:30.7695460Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tmutfmt.h
2025-08-26T19:45:30.7696280Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/plurfmt.h
2025-08-26T19:45:30.7697210Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustringtrie.h
2025-08-26T19:45:30.7698230Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/smpdtfmt.h
2025-08-26T19:45:30.7699030Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucptrie.h
2025-08-26T19:45:30.7699830Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udisplayoptions.h
2025-08-26T19:45:30.7700650Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/icudataver.h
2025-08-26T19:45:30.7701380Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uchar.h
2025-08-26T19:45:30.7702220Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unorm.h
2025-08-26T19:45:30.7703090Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ushape.h
2025-08-26T19:45:30.7704050Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unifunct.h
2025-08-26T19:45:30.7704920Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ugender.h
2025-08-26T19:45:30.7705820Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/selfmt.h
2025-08-26T19:45:30.7706820Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uformattable.h
2025-08-26T19:45:30.7707700Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustream.h
2025-08-26T19:45:30.7708940Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/simpleformatter.h
2025-08-26T19:45:30.7709890Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnv_cb.h
2025-08-26T19:45:30.7710890Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/curramt.h
2025-08-26T19:45:30.7711670Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/locid.h
2025-08-26T19:45:30.7712680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udateintervalformat.h
2025-08-26T19:45:30.7713600Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/resbund.h
2025-08-26T19:45:30.7714500Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ubidi.h
2025-08-26T19:45:30.7715320Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stsearch.h
2025-08-26T19:45:30.7716290Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/alphaindex.h
2025-08-26T19:45:30.7717190Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uvernum.h
2025-08-26T19:45:30.7718110Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unimatch.h
2025-08-26T19:45:30.7718830Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rbtz.h
2025-08-26T19:45:30.7719950Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnvsel.h
2025-08-26T19:45:30.7720800Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uspoof.h
2025-08-26T19:45:30.7721510Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/region.h
2025-08-26T19:45:30.7722410Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ureldatefmt.h
2025-08-26T19:45:30.7723150Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utrans.h
2025-08-26T19:45:30.7723970Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/parseerr.h
2025-08-26T19:45:30.7724690Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/putil.h
2025-08-26T19:45:30.7725670Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/format.h
2025-08-26T19:45:30.7726950Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/scientificnumberformatter.h
2025-08-26T19:45:30.7727710Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/displayoptions.h
2025-08-26T19:45:30.7728550Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/normalizer2.h
2025-08-26T19:45:30.7729280Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtrule.h
2025-08-26T19:45:30.7730120Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumberoptions.h
2025-08-26T19:45:30.7730970Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnv.h
2025-08-26T19:45:30.7732090Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucharstriebuilder.h
2025-08-26T19:45:30.7733060Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/search.h
2025-08-26T19:45:30.7733990Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumsys.h
2025-08-26T19:45:30.7734870Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uconfig.h
2025-08-26T19:45:30.7735710Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf16.h
2025-08-26T19:45:30.7736540Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/brkiter.h
2025-08-26T19:45:30.7737760Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/formattedvalue.h
2025-08-26T19:45:30.7738830Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/platform.h
2025-08-26T19:45:30.7739590Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rep.h
2025-08-26T19:45:30.7740670Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/formattednumber.h
2025-08-26T19:45:30.7741580Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/std_string.h
2025-08-26T19:45:30.7742160Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf8.h
2025-08-26T19:45:30.7743210Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/localpointer.h
2025-08-26T19:45:30.7743990Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uclean.h
2025-08-26T19:45:30.7745030Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uscript.h
2025-08-26T19:45:30.7745910Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numfmt.h
2025-08-26T19:45:30.7746710Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/currunit.h
2025-08-26T19:45:30.7747540Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utypes.h
2025-08-26T19:45:30.7748430Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ulistformatter.h
2025-08-26T19:45:30.7749310Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/measfmt.h
2025-08-26T19:45:30.7750100Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unifilt.h
2025-08-26T19:45:30.7750740Z /opt/homebrew/Caskroom/miniconda/base/include/form.h
2025-08-26T19:45:30.7751780Z /opt/homebrew/Caskroom/miniconda/base/include/tclUnixPort.h
2025-08-26T19:45:30.7753090Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/export.hpp
2025-08-26T19:45:30.7753880Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/reproc.hpp
2025-08-26T19:45:30.7754660Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/env.hpp
2025-08-26T19:45:30.7755810Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/detail/array.hpp
2025-08-26T19:45:30.7756800Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/detail/type_traits.hpp
2025-08-26T19:45:30.7757580Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/run.hpp
2025-08-26T19:45:30.7758430Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/input.hpp
2025-08-26T19:45:30.7759300Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/arguments.hpp
2025-08-26T19:45:30.7760280Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/drain.hpp
2025-08-26T19:45:30.7760970Z /opt/homebrew/Caskroom/miniconda/base/include/tcl.h
2025-08-26T19:45:30.7761870Z /opt/homebrew/Caskroom/miniconda/base/include/itclMigrate2TclCore.h
2025-08-26T19:45:30.7762590Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/ostream.h
2025-08-26T19:45:30.7763420Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/format-inl.h
2025-08-26T19:45:30.7764190Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/ranges.h
2025-08-26T19:45:30.7764840Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/xchar.h
2025-08-26T19:45:30.7765620Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/core.h
2025-08-26T19:45:30.7766390Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/chrono.h
2025-08-26T19:45:30.7767170Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/os.h
2025-08-26T19:45:30.7767960Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/color.h
2025-08-26T19:45:30.7768630Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/args.h
2025-08-26T19:45:30.7769500Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/printf.h
2025-08-26T19:45:30.7770200Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/compile.h
2025-08-26T19:45:30.7771030Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/format.h
2025-08-26T19:45:30.7771740Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/std.h
2025-08-26T19:45:30.7772620Z /opt/homebrew/Caskroom/miniconda/base/include/pcre2posix.h
2025-08-26T19:45:30.7773450Z /opt/homebrew/Caskroom/miniconda/base/include/cursesw.h
2025-08-26T19:45:30.7774260Z /opt/homebrew/Caskroom/miniconda/base/include/itcl.h
2025-08-26T19:45:30.7775170Z /opt/homebrew/Caskroom/miniconda/base/include/ares_build.h
2025-08-26T19:45:30.7776030Z /opt/homebrew/Caskroom/miniconda/base/include/tclIntDecls.h
2025-08-26T19:45:30.7776460Z /opt/homebrew/Caskroom/miniconda/base/include/lz4.h
2025-08-26T19:45:30.7777440Z /opt/homebrew/Caskroom/miniconda/base/include/readline/readline.h
2025-08-26T19:45:30.7778640Z /opt/homebrew/Caskroom/miniconda/base/include/readline/keymaps.h
2025-08-26T19:45:30.7779310Z /opt/homebrew/Caskroom/miniconda/base/include/readline/tilde.h
2025-08-26T19:45:30.7780100Z /opt/homebrew/Caskroom/miniconda/base/include/readline/rlconf.h
2025-08-26T19:45:30.7781030Z /opt/homebrew/Caskroom/miniconda/base/include/readline/chardefs.h
2025-08-26T19:45:30.7781970Z /opt/homebrew/Caskroom/miniconda/base/include/readline/history.h
2025-08-26T19:45:30.7782820Z /opt/homebrew/Caskroom/miniconda/base/include/readline/rlstdc.h
2025-08-26T19:45:30.7784100Z /opt/homebrew/Caskroom/miniconda/base/include/readline/rltypedefs.h
2025-08-26T19:45:30.7784890Z /opt/homebrew/Caskroom/miniconda/base/include/tkImgPhoto.h
2025-08-26T19:45:30.7785710Z /opt/homebrew/Caskroom/miniconda/base/include/bzlib.h
2025-08-26T19:45:30.7786430Z /opt/homebrew/Caskroom/miniconda/base/include/localcharset.h
2025-08-26T19:45:30.7787270Z /opt/homebrew/Caskroom/miniconda/base/include/ares.h
2025-08-26T19:45:30.7788410Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/activation.hpp
2025-08-26T19:45:30.7789600Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/environments_manager.hpp
2025-08-26T19:45:30.7790390Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/transaction.hpp
2025-08-26T19:45:30.7791460Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_handling.hpp
2025-08-26T19:45:30.7792450Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/invoke.hpp
2025-08-26T19:45:30.7793370Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/prefix_data.hpp
2025-08-26T19:45:30.7794350Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/common_types.hpp
2025-08-26T19:45:30.7795310Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/palette.hpp
2025-08-26T19:45:30.7796080Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/link.hpp
2025-08-26T19:45:30.7796830Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/error_handling.hpp
2025-08-26T19:45:30.7797630Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/repo_checker_store.hpp
2025-08-26T19:45:30.7798380Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_fetcher.hpp
2025-08-26T19:45:30.7799060Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/execution.hpp
2025-08-26T19:45:30.7799760Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/subdirdata.hpp
2025-08-26T19:45:30.7800490Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/shell_init.hpp
2025-08-26T19:45:30.7801150Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/fsutil.hpp
2025-08-26T19:45:30.7802250Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/channel_context.hpp
2025-08-26T19:45:30.7803240Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/env_lockfile.hpp
2025-08-26T19:45:30.7804380Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/util_scope.hpp
2025-08-26T19:45:30.7805640Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/transaction_context.hpp
2025-08-26T19:45:30.7806670Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/download_progress_bar.hpp
2025-08-26T19:45:30.7807570Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/context.hpp
2025-08-26T19:45:30.7808540Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/timeref.hpp
2025-08-26T19:45:30.7809400Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/util_os.hpp
2025-08-26T19:45:30.7810640Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/tasksync.hpp
2025-08-26T19:45:30.7811290Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/history.hpp
2025-08-26T19:45:30.7812280Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/progress_bar.hpp
2025-08-26T19:45:30.7813030Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/run.hpp
2025-08-26T19:45:30.7814320Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_paths.hpp
2025-08-26T19:45:30.7815560Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_database_loader.hpp
2025-08-26T19:45:30.7816520Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/virtual_packages.hpp
2025-08-26T19:45:30.7817730Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/thread_utils.hpp
2025-08-26T19:45:30.7818430Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/output.hpp
2025-08-26T19:45:30.7819480Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_cache.hpp
2025-08-26T19:45:30.7820320Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/pinning.hpp
2025-08-26T19:45:30.7821380Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/query.hpp
2025-08-26T19:45:30.7822420Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/util.hpp
2025-08-26T19:45:30.7823360Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/menuinst.hpp
2025-08-26T19:45:30.7824190Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/cast.hpp
2025-08-26T19:45:30.7825090Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_unix.hpp
2025-08-26T19:45:30.7826120Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/cryptography.hpp
2025-08-26T19:45:30.7827070Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/build.hpp
2025-08-26T19:45:30.7828080Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/json.hpp
2025-08-26T19:45:30.7829360Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_osx.hpp
2025-08-26T19:45:30.7830080Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/weakening_map.hpp
2025-08-26T19:45:30.7831050Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/path_manip.hpp
2025-08-26T19:45:30.7832100Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/flat_binary_tree.hpp
2025-08-26T19:45:30.7833030Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/variant_cmp.hpp
2025-08-26T19:45:30.7833860Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/encoding.hpp
2025-08-26T19:45:30.7834820Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/functional.hpp
2025-08-26T19:45:30.7836040Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/flat_bool_expr_tree.hpp
2025-08-26T19:45:30.7836930Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/type_traits.hpp
2025-08-26T19:45:30.7837900Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/random.hpp
2025-08-26T19:45:30.7839020Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_linux.hpp
2025-08-26T19:45:30.7839950Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/heap_optional.hpp
2025-08-26T19:45:30.7840940Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/graph.hpp
2025-08-26T19:45:30.7841850Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/loop_control.hpp
2025-08-26T19:45:30.7842800Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/url.hpp
2025-08-26T19:45:30.7843770Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_win.hpp
2025-08-26T19:45:30.7844870Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/url_manip.hpp
2025-08-26T19:45:30.7846090Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/string.hpp
2025-08-26T19:45:30.7847260Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/deprecation.hpp
2025-08-26T19:45:30.7848030Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/parsers.hpp
2025-08-26T19:45:30.7848800Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/cfile.hpp
2025-08-26T19:45:30.7849780Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os.hpp
2025-08-26T19:45:30.7850660Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/conditional.hpp
2025-08-26T19:45:30.7851510Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/flat_set.hpp
2025-08-26T19:45:30.7852360Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/compare.hpp
2025-08-26T19:45:30.7853320Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/iterator.hpp
2025-08-26T19:45:30.7854340Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/environment.hpp
2025-08-26T19:45:30.7855290Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/tuple_hash.hpp
2025-08-26T19:45:30.7856220Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/archive.hpp
2025-08-26T19:45:30.7857420Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/package_info.hpp
2025-08-26T19:45:30.7858340Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/match_spec.hpp
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2025-08-26T19:45:30.7860200Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/repo_data.hpp
2025-08-26T19:45:30.7861410Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/regex_spec.hpp
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2025-08-26T19:45:30.7866470Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/channel.hpp
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2025-08-26T19:45:30.7868470Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/unresolved_channel.hpp
2025-08-26T19:45:30.7869480Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/build_number_spec.hpp
2025-08-26T19:45:30.7870440Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/authentication_info.hpp
2025-08-26T19:45:30.7871420Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/version_spec.hpp
2025-08-26T19:45:30.7872680Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/request.hpp
2025-08-26T19:45:30.7873440Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/solution.hpp
2025-08-26T19:45:30.7874600Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/problems_graph.hpp
2025-08-26T19:45:30.7875610Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/libsolv/solver.hpp
2025-08-26T19:45:30.7876840Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/libsolv/unsolvable.hpp
2025-08-26T19:45:30.7878040Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/libsolv/database.hpp
2025-08-26T19:45:30.7879220Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/libsolv/parameters.hpp
2025-08-26T19:45:30.7880080Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/libsolv/repo_info.hpp
2025-08-26T19:45:30.7880940Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/version.hpp
2025-08-26T19:45:30.7881750Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/download/mirror_map.hpp
2025-08-26T19:45:30.7882950Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/download/downloader.hpp
2025-08-26T19:45:30.7883900Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/download/mirror.hpp
2025-08-26T19:45:30.7884920Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/download/request.hpp
2025-08-26T19:45:30.7885780Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/update.hpp
2025-08-26T19:45:30.7886710Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/info.hpp
2025-08-26T19:45:30.7887700Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/configuration_impl.hpp
2025-08-26T19:45:30.7888620Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/shell.hpp
2025-08-26T19:45:30.7889600Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/channel_loader.hpp
2025-08-26T19:45:30.7890360Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/install.hpp
2025-08-26T19:45:30.7891360Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/c_api.h
2025-08-26T19:45:30.7892280Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/repoquery.hpp
2025-08-26T19:45:30.7902740Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/config.hpp
2025-08-26T19:45:30.7903230Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/list.hpp
2025-08-26T19:45:30.7903600Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/configuration.hpp
2025-08-26T19:45:30.7903960Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/create.hpp
2025-08-26T19:45:30.7904290Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/clean.hpp
2025-08-26T19:45:30.7904650Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/constants.hpp
2025-08-26T19:45:30.7905000Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/remove.hpp
2025-08-26T19:45:30.7905360Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/fs/filesystem.hpp
2025-08-26T19:45:30.7905740Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/validation/errors.hpp
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2025-08-26T19:45:30.7906570Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/validation/update_framework_v0_6.hpp
2025-08-26T19:45:30.7907040Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/validation/repo_checker.hpp
2025-08-26T19:45:30.7907450Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/validation/tools.hpp
2025-08-26T19:45:30.7907880Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/validation/update_framework_v1.hpp
2025-08-26T19:45:30.7908360Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/validation/update_framework.hpp
2025-08-26T19:45:30.7908720Z /opt/homebrew/Caskroom/miniconda/base/include/tclInt.h
2025-08-26T19:45:30.7909000Z /opt/homebrew/Caskroom/miniconda/base/include/tclThread.h
2025-08-26T19:45:30.7909310Z /opt/homebrew/Caskroom/miniconda/base/include/tkScale.h
2025-08-26T19:45:30.7909600Z /opt/homebrew/Caskroom/miniconda/base/include/tl/expected.hpp
2025-08-26T19:45:30.7909940Z /opt/homebrew/Caskroom/miniconda/base/include/tclIntPlatDecls.h
2025-08-26T19:45:30.7910240Z /opt/homebrew/Caskroom/miniconda/base/include/unctrl.h
2025-08-26T19:45:30.7910680Z /opt/homebrew/Caskroom/miniconda/base/include/tdbcInt.h
2025-08-26T19:45:30.7911340Z /opt/homebrew/Caskroom/miniconda/base/include/cursesapp.h
2025-08-26T19:45:30.7912130Z /opt/homebrew/Caskroom/miniconda/base/include/tk3d.h
2025-08-26T19:45:30.7912930Z /opt/homebrew/Caskroom/miniconda/base/include/expat_external.h
2025-08-26T19:45:30.7913700Z /opt/homebrew/Caskroom/miniconda/base/include/tdbcDecls.h
2025-08-26T19:45:30.7914560Z /opt/homebrew/Caskroom/miniconda/base/include/ev++.h
2025-08-26T19:45:30.7915390Z /opt/homebrew/Caskroom/miniconda/base/include/tclOOInt.h
2025-08-26T19:45:30.7916140Z /opt/homebrew/Caskroom/miniconda/base/include/tkUnixDefault.h
2025-08-26T19:45:30.7916800Z /opt/homebrew/Caskroom/miniconda/base/include/tclOO.h
2025-08-26T19:45:30.7917840Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/traits.h
2025-08-26T19:45:30.7918830Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/eventhandler.h
2025-08-26T19:45:30.7919690Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/emitter.h
2025-08-26T19:45:30.7920890Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/anchor.h
2025-08-26T19:45:30.7921620Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/mark.h
2025-08-26T19:45:30.7922610Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/emitterdef.h
2025-08-26T19:45:30.7923340Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/parser.h
2025-08-26T19:45:30.7924040Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/null.h
2025-08-26T19:45:30.7924970Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/exceptions.h
2025-08-26T19:45:30.7925900Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/emitterstyle.h
2025-08-26T19:45:30.7926640Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/noexcept.h
2025-08-26T19:45:30.7927510Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/emittermanip.h
2025-08-26T19:45:30.7928520Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/emitfromevents.h
2025-08-26T19:45:30.7929330Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/dll.h
2025-08-26T19:45:30.7931060Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/contrib/graphbuilder.h
2025-08-26T19:45:30.7931520Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/contrib/anchordict.h
2025-08-26T19:45:30.7932290Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/yaml.h
2025-08-26T19:45:30.7933320Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/type.h
2025-08-26T19:45:30.7934370Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/parse.h
2025-08-26T19:45:30.7935130Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/node.h
2025-08-26T19:45:30.7936390Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/node_data.h
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2025-08-26T19:45:30.7939440Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/memory.h
2025-08-26T19:45:30.7940700Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/node_iterator.h
2025-08-26T19:45:30.7942000Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/impl.h
2025-08-26T19:45:30.7943130Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/iterator_fwd.h
2025-08-26T19:45:30.7944110Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/iterator.h
2025-08-26T19:45:30.7944980Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/ptr.h
2025-08-26T19:45:30.7945950Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/convert.h
2025-08-26T19:45:30.7946750Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/impl.h
2025-08-26T19:45:30.7947700Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/emit.h
2025-08-26T19:45:30.7948750Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/iterator.h
2025-08-26T19:45:30.7949900Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/ostream_wrapper.h
2025-08-26T19:45:30.7950960Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/stlemitter.h
2025-08-26T19:45:30.7951810Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/binary.h
2025-08-26T19:45:30.7952570Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/depthguard.h
2025-08-26T19:45:30.7953240Z /opt/homebrew/Caskroom/miniconda/base/include/simdjson.h
2025-08-26T19:45:30.7954010Z /opt/homebrew/Caskroom/miniconda/base/include/term.h
2025-08-26T19:45:30.7954680Z /opt/homebrew/Caskroom/miniconda/base/include/cursslk.h
2025-08-26T19:45:30.7955450Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXColor.h
2025-08-26T19:45:30.7956510Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/pattern_formatter-inl.h
2025-08-26T19:45:30.7957130Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/fwd.h
2025-08-26T19:45:30.7958090Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/version.h
2025-08-26T19:45:30.7958830Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/spdlog.h
2025-08-26T19:45:30.7959680Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/fmt/ranges.h
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2025-08-26T19:45:30.7962060Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/fmt/bin_to_hex.h
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2025-08-26T19:45:30.7965670Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/logger-inl.h
2025-08-26T19:45:30.7966810Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/qt_sinks.h
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2025-08-26T19:45:30.7992150Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/ostream_sink.h
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2025-08-26T19:45:30.7998050Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/wincolor_sink.h
2025-08-26T19:45:30.7998860Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/formatter.h
2025-08-26T19:45:30.7999730Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/common-inl.h
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2025-08-26T19:45:30.8007440Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/periodic_worker.h
2025-08-26T19:45:30.8008440Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/mpmc_blocking_q.h
2025-08-26T19:45:30.8009360Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/os.h
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2025-08-26T19:45:30.8016550Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/thread_pool.h
2025-08-26T19:45:30.8017150Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/circular_q.h
2025-08-26T19:45:30.8018030Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/synchronous_factory.h
2025-08-26T19:45:30.8018860Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/os-inl.h
2025-08-26T19:45:30.8019350Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/log_msg.h
2025-08-26T19:45:30.8020170Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/backtracer-inl.h
2025-08-26T19:45:30.8020920Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/file_helper-inl.h
2025-08-26T19:45:30.8021660Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/log_msg_buffer.h
2025-08-26T19:45:30.8022380Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/tcp_client.h
2025-08-26T19:45:30.8023140Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/console_globals.h
2025-08-26T19:45:30.8023930Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/windows_include.h
2025-08-26T19:45:30.8024720Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/tcp_client-windows.h
2025-08-26T19:45:30.8025370Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/async_logger.h
2025-08-26T19:45:30.8025960Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/cfg/env.h
2025-08-26T19:45:30.8026570Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/cfg/argv.h
2025-08-26T19:45:30.8027320Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/cfg/helpers-inl.h
2025-08-26T19:45:30.8027950Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/cfg/helpers.h
2025-08-26T19:45:30.8028540Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/tweakme.h
2025-08-26T19:45:30.8029150Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/async.h
2025-08-26T19:45:30.8029730Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/common.h
2025-08-26T19:45:30.8030490Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/async_logger-inl.h
2025-08-26T19:45:30.8031120Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/stopwatch.h
2025-08-26T19:45:30.8032020Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/pattern_formatter.h
2025-08-26T19:45:30.8032410Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/logger.h
2025-08-26T19:45:30.8033070Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/spdlog-inl.h
2025-08-26T19:45:30.8033630Z /opt/homebrew/Caskroom/miniconda/base/include/itcl2TclOO.h
2025-08-26T19:45:30.8034160Z /opt/homebrew/Caskroom/miniconda/base/include/tkUndo.h
2025-08-26T19:45:30.8034830Z /opt/homebrew/Caskroom/miniconda/base/include/curl/stdcheaders.h
2025-08-26T19:45:30.8035380Z /opt/homebrew/Caskroom/miniconda/base/include/curl/header.h
2025-08-26T19:45:30.8036100Z /opt/homebrew/Caskroom/miniconda/base/include/curl/options.h
2025-08-26T19:45:30.8036720Z /opt/homebrew/Caskroom/miniconda/base/include/curl/mprintf.h
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2025-08-26T19:45:30.8037820Z /opt/homebrew/Caskroom/miniconda/base/include/curl/curl.h
2025-08-26T19:45:30.8038460Z /opt/homebrew/Caskroom/miniconda/base/include/curl/websockets.h
2025-08-26T19:45:30.8039040Z /opt/homebrew/Caskroom/miniconda/base/include/curl/curlver.h
2025-08-26T19:45:30.8039730Z /opt/homebrew/Caskroom/miniconda/base/include/curl/system.h
2025-08-26T19:45:30.8040330Z /opt/homebrew/Caskroom/miniconda/base/include/curl/typecheck-gcc.h
2025-08-26T19:45:30.8040890Z /opt/homebrew/Caskroom/miniconda/base/include/curl/multi.h
2025-08-26T19:45:30.8041490Z /opt/homebrew/Caskroom/miniconda/base/include/curl/urlapi.h
2025-08-26T19:45:30.8042210Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXDefault.h
2025-08-26T19:45:30.8042690Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXWm.h
2025-08-26T19:45:30.8043230Z /opt/homebrew/Caskroom/miniconda/base/include/tkInt.h
2025-08-26T19:45:30.8043840Z /opt/homebrew/Caskroom/miniconda/base/include/tkFileFilter.h
2025-08-26T19:45:30.8044360Z /opt/homebrew/Caskroom/miniconda/base/include/tkMenu.h
2025-08-26T19:45:30.8044860Z /opt/homebrew/Caskroom/miniconda/base/include/tk.h
2025-08-26T19:45:30.8045470Z /opt/homebrew/Caskroom/miniconda/base/include/tkIntDecls.h
2025-08-26T19:45:30.8046020Z /opt/homebrew/Caskroom/miniconda/base/include/odbcStubs.h
2025-08-26T19:45:30.8046540Z /opt/homebrew/Caskroom/miniconda/base/include/iconv.h
2025-08-26T19:45:30.8047080Z /opt/homebrew/Caskroom/miniconda/base/include/fakepq.h
2025-08-26T19:45:30.8047810Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-matchers.h
2025-08-26T19:45:30.8048490Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-death-test.h
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2025-08-26T19:45:30.8050770Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/internal/gtest-death-test-internal.h
2025-08-26T19:45:30.8051450Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/internal/gtest-port.h
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2025-08-26T19:45:30.8055300Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/internal/gtest-filepath.h
2025-08-26T19:45:30.8056110Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/internal/custom/gtest-port.h
2025-08-26T19:45:30.8056810Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/internal/custom/README.md
2025-08-26T19:45:30.8057560Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/internal/custom/gtest.h
2025-08-26T19:45:30.8058390Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/internal/custom/gtest-printers.h
2025-08-26T19:45:30.8059000Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-message.h
2025-08-26T19:45:30.8059770Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-param-test.h
2025-08-26T19:45:30.8060410Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-typed-test.h
2025-08-26T19:45:30.8061110Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest_pred_impl.h
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2025-08-26T19:45:30.8062390Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-test-part.h
2025-08-26T19:45:30.8062950Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest.h
2025-08-26T19:45:30.8063670Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-printers.h
2025-08-26T19:45:30.8064130Z /opt/homebrew/Caskroom/miniconda/base/include/panel.h
2025-08-26T19:45:30.8064770Z /opt/homebrew/Caskroom/miniconda/base/include/lz4frame_static.h
2025-08-26T19:45:30.8065260Z /opt/homebrew/Caskroom/miniconda/base/include/expat.h
2025-08-26T19:45:30.8065810Z /opt/homebrew/Caskroom/miniconda/base/include/itclInt.h
2025-08-26T19:45:30.8066400Z /opt/homebrew/Caskroom/miniconda/base/include/ks_names.h
2025-08-26T19:45:30.8066950Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses.h
2025-08-26T19:45:30.8068440Z /opt/homebrew/Caskroom/miniconda/base/include/tkPlatDecls.h
2025-08-26T19:45:30.8068760Z /opt/homebrew/Caskroom/miniconda/base/include/lz4hc.h
2025-08-26T19:45:30.8069080Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/ordered_map.hpp
2025-08-26T19:45:30.8069440Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/json.hpp
2025-08-26T19:45:30.8070140Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/adl_serializer.hpp
2025-08-26T19:45:30.8071000Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/byte_container_with_subtype.hpp
2025-08-26T19:45:30.8071650Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/hash.hpp
2025-08-26T19:45:30.8072770Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/string_escape.hpp
2025-08-26T19:45:30.8073240Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/json_ref.hpp
2025-08-26T19:45:30.8074090Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/conversions/to_chars.hpp
2025-08-26T19:45:30.8074940Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/conversions/from_json.hpp
2025-08-26T19:45:30.8075730Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/conversions/to_json.hpp
2025-08-26T19:45:30.8076460Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/value_t.hpp
2025-08-26T19:45:30.8077270Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/input/position_t.hpp
2025-08-26T19:45:30.8078650Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/input/parser.hpp
2025-08-26T19:45:30.8079090Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/input/json_sax.hpp
2025-08-26T19:45:30.8079630Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/input/binary_reader.hpp
2025-08-26T19:45:30.8080510Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/input/input_adapters.hpp
2025-08-26T19:45:30.8081200Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/input/lexer.hpp
2025-08-26T19:45:30.8081920Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/string_concat.hpp
2025-08-26T19:45:30.8082670Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/macro_scope.hpp
2025-08-26T19:45:30.8083550Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/output/output_adapters.hpp
2025-08-26T19:45:30.8084370Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/output/serializer.hpp
2025-08-26T19:45:30.8085180Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/output/binary_writer.hpp
2025-08-26T19:45:30.8085890Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/meta/is_sax.hpp
2025-08-26T19:45:30.8086690Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/meta/call_std/end.hpp
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2025-08-26T19:45:30.8088320Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/meta/identity_tag.hpp
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2025-08-26T19:45:30.8090070Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/meta/cpp_future.hpp
2025-08-26T19:45:30.8090750Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/meta/detected.hpp
2025-08-26T19:45:30.8091460Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/meta/void_t.hpp
2025-08-26T19:45:30.8092210Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/meta/std_fs.hpp
2025-08-26T19:45:30.8092980Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/json_pointer.hpp
2025-08-26T19:45:30.8093740Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/exceptions.hpp
2025-08-26T19:45:30.8094540Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/abi_macros.hpp
2025-08-26T19:45:30.8095440Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/macro_unscope.hpp
2025-08-26T19:45:30.8096180Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/iterators/iter_impl.hpp
2025-08-26T19:45:30.8097230Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/iterators/json_reverse_iterator.hpp
2025-08-26T19:45:30.8097980Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/iterators/iteration_proxy.hpp
2025-08-26T19:45:30.8098880Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/iterators/iterator_traits.hpp
2025-08-26T19:45:30.8099760Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/iterators/internal_iterator.hpp
2025-08-26T19:45:30.8100990Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/iterators/primitive_iterator.hpp
2025-08-26T19:45:30.8101590Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/thirdparty/hedley/hedley.hpp
2025-08-26T19:45:30.8102340Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/thirdparty/hedley/hedley_undef.hpp
2025-08-26T19:45:30.8102930Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/json_fwd.hpp
2025-08-26T19:45:30.8103370Z /opt/homebrew/Caskroom/miniconda/base/include/eti.h
2025-08-26T19:45:30.8103970Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses_dll.h
2025-08-26T19:45:30.8104450Z /opt/homebrew/Caskroom/miniconda/base/include/zlib.h
2025-08-26T19:45:30.8105020Z /opt/homebrew/Caskroom/miniconda/base/include/tkButton.h
2025-08-26T19:45:30.8105960Z /opt/homebrew/Caskroom/miniconda/base/include/tkScrollbar.h
2025-08-26T19:45:30.8106620Z /opt/homebrew/Caskroom/miniconda/base/include/term_entry.h
2025-08-26T19:45:30.8107030Z /opt/homebrew/Caskroom/miniconda/base/include/menu.h
2025-08-26T19:45:30.8107580Z /opt/homebrew/Caskroom/miniconda/base/include/pcre2.h
2025-08-26T19:45:30.8108090Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSX.h
2025-08-26T19:45:30.8108620Z /opt/homebrew/Caskroom/miniconda/base/include/sqlite3.h
2025-08-26T19:45:30.8109260Z /opt/homebrew/Caskroom/miniconda/base/include/tclOOIntDecls.h
2025-08-26T19:45:30.8109810Z /opt/homebrew/Caskroom/miniconda/base/include/zstd_errors.h
2025-08-26T19:45:30.8110380Z /opt/homebrew/Caskroom/miniconda/base/include/sqlite3ext.h
2025-08-26T19:45:30.8110910Z /opt/homebrew/Caskroom/miniconda/base/include/libssh2.h
2025-08-26T19:45:30.8111580Z /opt/homebrew/Caskroom/miniconda/base/include/X11/DECkeysym.h
2025-08-26T19:45:30.8112140Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Xutil.h
2025-08-26T19:45:30.8112720Z /opt/homebrew/Caskroom/miniconda/base/include/X11/ap_keysym.h
2025-08-26T19:45:30.8113260Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Xatom.h
2025-08-26T19:45:30.8113780Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Xlib.h
2025-08-26T19:45:30.8114390Z /opt/homebrew/Caskroom/miniconda/base/include/X11/cursorfont.h
2025-08-26T19:45:30.8115000Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Sunkeysym.h
2025-08-26T19:45:30.8115620Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Xfuncproto.h
2025-08-26T19:45:30.8116220Z /opt/homebrew/Caskroom/miniconda/base/include/X11/keysymdef.h
2025-08-26T19:45:30.8116800Z /opt/homebrew/Caskroom/miniconda/base/include/X11/HPkeysym.h
2025-08-26T19:45:30.8117360Z /opt/homebrew/Caskroom/miniconda/base/include/X11/keysym.h
2025-08-26T19:45:30.8122180Z /opt/homebrew/Caskroom/miniconda/base/include/X11/XF86keysym.h
2025-08-26T19:45:30.8122470Z /opt/homebrew/Caskroom/miniconda/base/include/X11/X.h
2025-08-26T19:45:30.8122770Z /opt/homebrew/Caskroom/miniconda/base/include/X11/xbytes.h
2025-08-26T19:45:30.8123080Z /opt/homebrew/Caskroom/miniconda/base/include/tclTomMathDecls.h
2025-08-26T19:45:30.8123420Z /opt/homebrew/Caskroom/miniconda/base/include/tclTomMath.h
2025-08-26T19:45:30.8123710Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXInt.h
2025-08-26T19:45:30.8124030Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXCursors.h
2025-08-26T19:45:30.8124360Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXConstants.h
2025-08-26T19:45:30.8124660Z /opt/homebrew/Caskroom/miniconda/base/include/ev.h
2025-08-26T19:45:30.8124940Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXEvent.h
2025-08-26T19:45:30.8125240Z /opt/homebrew/Caskroom/miniconda/base/include/lz4frame.h
2025-08-26T19:45:30.8125640Z /opt/homebrew/Caskroom/miniconda/base/include/ares_nameser.h
2025-08-26T19:45:30.8125950Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXPort.h
2025-08-26T19:45:30.8126240Z /opt/homebrew/Caskroom/miniconda/base/include/tkCanvas.h
2025-08-26T19:45:30.8126510Z /opt/homebrew/Caskroom/miniconda/base/include/tkArray.h
2025-08-26T19:45:30.8127060Z /opt/homebrew/Caskroom/miniconda/base/include/zstd.h
2025-08-26T19:45:30.8127560Z /opt/homebrew/Caskroom/miniconda/base/include/fakemysql.h
2025-08-26T19:45:30.8128220Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pem2.h
2025-08-26T19:45:30.8128740Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/kdf.h
2025-08-26T19:45:30.8129270Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pem.h
2025-08-26T19:45:30.8129890Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asyncerr.h
2025-08-26T19:45:30.8130600Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/md2.h
2025-08-26T19:45:30.8131110Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ssl3.h
2025-08-26T19:45:30.8131870Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ossl_typ.h
2025-08-26T19:45:30.8132310Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dtls1.h
2025-08-26T19:45:30.8132890Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/err.h
2025-08-26T19:45:30.8133530Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bn.h
2025-08-26T19:45:30.8134250Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/blowfish.h
2025-08-26T19:45:30.8134710Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cms.h
2025-08-26T19:45:30.8135340Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/engine.h
2025-08-26T19:45:30.8135960Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conf_api.h
2025-08-26T19:45:30.8136610Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/esserr.h
2025-08-26T19:45:30.8137290Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core.h
2025-08-26T19:45:30.8137840Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509.h
2025-08-26T19:45:30.8138400Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1_mac.h
2025-08-26T19:45:30.8139090Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/objectserr.h
2025-08-26T19:45:30.8139800Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/params.h
2025-08-26T19:45:30.8140380Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmserr.h
2025-08-26T19:45:30.8140940Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/http.h
2025-08-26T19:45:30.8141520Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ui.h
2025-08-26T19:45:30.8142240Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/sha.h
2025-08-26T19:45:30.8142800Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/symhacks.h
2025-08-26T19:45:30.8143380Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1.h
2025-08-26T19:45:30.8144090Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bioerr.h
2025-08-26T19:45:30.8144700Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/opensslconf.h
2025-08-26T19:45:30.8145250Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bio.h
2025-08-26T19:45:30.8145830Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rc2.h
2025-08-26T19:45:30.8146430Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/types.h
2025-08-26T19:45:30.8146990Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dh.h
2025-08-26T19:45:30.8147840Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cryptoerr_legacy.h
2025-08-26T19:45:30.8148310Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/proverr.h
2025-08-26T19:45:30.8149020Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509v3.h
2025-08-26T19:45:30.8149600Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core_object.h
2025-08-26T19:45:30.8150280Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/decodererr.h
2025-08-26T19:45:30.8150900Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/param_build.h
2025-08-26T19:45:30.8151490Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conf.h
2025-08-26T19:45:30.8152200Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conftypes.h
2025-08-26T19:45:30.8152750Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/md5.h
2025-08-26T19:45:30.8153500Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/decoder.h
2025-08-26T19:45:30.8153950Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pemerr.h
2025-08-26T19:45:30.8154580Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/crmferr.h
2025-08-26T19:45:30.8155320Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509_vfy.h
2025-08-26T19:45:30.8155880Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/txt_db.h
2025-08-26T19:45:30.8156500Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmp.h
2025-08-26T19:45:30.8157050Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/comperr.h
2025-08-26T19:45:30.8157700Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cterr.h
2025-08-26T19:45:30.8158350Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/self_test.h
2025-08-26T19:45:30.8159010Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/safestack.h
2025-08-26T19:45:30.8159810Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/configuration.h
2025-08-26T19:45:30.8160400Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/fips_names.h
2025-08-26T19:45:30.8160920Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ecdsa.h
2025-08-26T19:45:30.8161550Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/sslerr.h
2025-08-26T19:45:30.8162300Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/prov_ssl.h
2025-08-26T19:45:30.8162860Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/fipskey.h
2025-08-26T19:45:30.8163500Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rc5.h
2025-08-26T19:45:30.8163990Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/uierr.h
2025-08-26T19:45:30.8164630Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509v3err.h
2025-08-26T19:45:30.8165250Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/objects.h
2025-08-26T19:45:30.8165920Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs12.h
2025-08-26T19:45:30.8166610Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/crypto.h
2025-08-26T19:45:30.8167090Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/crmf.h
2025-08-26T19:45:30.8167720Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmp_util.h
2025-08-26T19:45:30.8168470Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/opensslv.h
2025-08-26T19:45:30.8169110Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/evperr.h
2025-08-26T19:45:30.8169690Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs7.h
2025-08-26T19:45:30.8170260Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/obj_mac.h
2025-08-26T19:45:30.8170770Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ct.h
2025-08-26T19:45:30.8171370Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/async.h
2025-08-26T19:45:30.8172020Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/buffer.h
2025-08-26T19:45:30.8172690Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ssl.h
2025-08-26T19:45:30.8173370Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/srp.h
2025-08-26T19:45:30.8173960Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/camellia.h
2025-08-26T19:45:30.8174470Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/httperr.h
2025-08-26T19:45:30.8175070Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dherr.h
2025-08-26T19:45:30.8175660Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/evp.h
2025-08-26T19:45:30.8176350Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/e_os2.h
2025-08-26T19:45:30.8176960Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/trace.h
2025-08-26T19:45:30.8177580Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/md4.h
2025-08-26T19:45:30.8178220Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core_names.h
2025-08-26T19:45:30.8178790Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/hmac.h
2025-08-26T19:45:30.8179510Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/provider.h
2025-08-26T19:45:30.8180060Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/aes.h
2025-08-26T19:45:30.8180670Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/engineerr.h
2025-08-26T19:45:30.8181240Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/comp.h
2025-08-26T19:45:30.8181890Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/macros.h
2025-08-26T19:45:30.8182660Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs12err.h
2025-08-26T19:45:30.8183130Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/encoder.h
2025-08-26T19:45:30.8183720Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cast.h
2025-08-26T19:45:30.8184430Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/sslerr_legacy.h
2025-08-26T19:45:30.8185010Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rc4.h
2025-08-26T19:45:30.8185580Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/stack.h
2025-08-26T19:45:30.8186190Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/des.h
2025-08-26T19:45:30.8186800Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ocsp.h
2025-08-26T19:45:30.8187330Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ec.h
2025-08-26T19:45:30.8188030Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ecdh.h
2025-08-26T19:45:30.8188530Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rand.h
2025-08-26T19:45:30.8189100Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ecerr.h
2025-08-26T19:45:30.8189700Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ts.h
2025-08-26T19:45:30.8190500Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core_dispatch.h
2025-08-26T19:45:30.8191000Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cryptoerr.h
2025-08-26T19:45:30.8191710Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/storeerr.h
2025-08-26T19:45:30.8192400Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/buffererr.h
2025-08-26T19:45:30.8193040Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/seed.h
2025-08-26T19:45:30.8193660Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/modes.h
2025-08-26T19:45:30.8194270Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ssl2.h
2025-08-26T19:45:30.8194970Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/tserr.h
2025-08-26T19:45:30.8195480Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rsa.h
2025-08-26T19:45:30.8196150Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ripemd.h
2025-08-26T19:45:30.8196670Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/whrlpool.h
2025-08-26T19:45:30.8197310Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/encodererr.h
2025-08-26T19:45:30.8198040Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmperr.h
2025-08-26T19:45:30.8198500Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/tls1.h
2025-08-26T19:45:30.8199100Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rsaerr.h
2025-08-26T19:45:30.8199740Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/randerr.h
2025-08-26T19:45:30.8200300Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/mdc2.h
2025-08-26T19:45:30.8200940Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ocsperr.h
2025-08-26T19:45:30.8201690Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509err.h
2025-08-26T19:45:30.8202510Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs7err.h
2025-08-26T19:45:30.8202850Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dsa.h
2025-08-26T19:45:30.8203570Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/kdferr.h
2025-08-26T19:45:30.8204090Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/srtp.h
2025-08-26T19:45:30.8204780Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1t.h
2025-08-26T19:45:30.8205820Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dsaerr.h
2025-08-26T19:45:30.8206140Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bnerr.h
2025-08-26T19:45:30.8206510Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conferr.h
2025-08-26T19:45:30.8207110Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmac.h
2025-08-26T19:45:30.8207710Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ebcdic.h
2025-08-26T19:45:30.8208410Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/store.h
2025-08-26T19:45:30.8208920Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/idea.h
2025-08-26T19:45:30.8209490Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/lhash.h
2025-08-26T19:45:30.8210060Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ess.h
2025-08-26T19:45:30.8210740Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1err.h
2025-08-26T19:45:30.8211450Z /opt/homebrew/Caskroom/miniconda/base/include/libssh2_publickey.h
2025-08-26T19:45:30.8212000Z /opt/homebrew/Caskroom/miniconda/base/include/ares_dns_record.h
2025-08-26T19:45:30.8212610Z /opt/homebrew/Caskroom/miniconda/base/include/tclDecls.h
2025-08-26T19:45:30.8213120Z /opt/homebrew/Caskroom/miniconda/base/include/tkIntPlatDecls.h
2025-08-26T19:45:30.8213780Z /opt/homebrew/Caskroom/miniconda/base/include/cursesm.h
2025-08-26T19:45:30.8214190Z /opt/homebrew/Caskroom/miniconda/base/include/tkDecls.h
2025-08-26T19:45:30.8214710Z /opt/homebrew/Caskroom/miniconda/base/include/tkBusy.h
2025-08-26T19:45:30.8215310Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/index.h
2025-08-26T19:45:30.8215940Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/version.h
2025-08-26T19:45:30.8216590Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/index_hash.h
2025-08-26T19:45:30.8217160Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/lzma12.h
2025-08-26T19:45:30.8217770Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/container.h
2025-08-26T19:45:30.8218330Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/delta.h
2025-08-26T19:45:30.8218890Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/vli.h
2025-08-26T19:45:30.8219490Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/check.h
2025-08-26T19:45:30.8220030Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/bcj.h
2025-08-26T19:45:30.8220820Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/stream_flags.h
2025-08-26T19:45:30.8221260Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/block.h
2025-08-26T19:45:30.8221850Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/hardware.h
2025-08-26T19:45:30.8222460Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/filter.h
2025-08-26T19:45:30.8222990Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/base.h
2025-08-26T19:45:30.8223660Z /opt/homebrew/Caskroom/miniconda/base/include/fakesql.h
2025-08-26T19:45:30.8224090Z /opt/homebrew/Caskroom/miniconda/base/include/itclDecls.h
2025-08-26T19:45:30.8224860Z /opt/homebrew/Caskroom/miniconda/base/include/tclPlatDecls.h
2025-08-26T19:45:30.8225390Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXXCursors.h
2025-08-26T19:45:30.8225880Z /opt/homebrew/Caskroom/miniconda/base/include/ffi.h
2025-08-26T19:45:30.8226600Z /opt/homebrew/Caskroom/miniconda/base/include/default.h
2025-08-26T19:45:30.8227390Z /opt/homebrew/Caskroom/miniconda/base/include/tkUnixPort.h
2025-08-26T19:45:30.8228140Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXDebug.h
2025-08-26T19:45:30.8228790Z /opt/homebrew/Caskroom/miniconda/base/include/zconf.h
2025-08-26T19:45:30.8229440Z /opt/homebrew/Caskroom/miniconda/base/include/ares_dns.h
2025-08-26T19:45:30.8230650Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/termcap.h
2025-08-26T19:45:30.8231290Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/cursesp.h
2025-08-26T19:45:30.8232150Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/cursesf.h
2025-08-26T19:45:30.8233040Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/etip.h
2025-08-26T19:45:30.8233890Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/form.h
2025-08-26T19:45:30.8234800Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/cursesw.h
2025-08-26T19:45:30.8235680Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/unctrl.h
2025-08-26T19:45:30.8236450Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/cursesapp.h
2025-08-26T19:45:30.8237250Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/term.h
2025-08-26T19:45:30.8238060Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/cursslk.h
2025-08-26T19:45:30.8238790Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/panel.h
2025-08-26T19:45:30.8239600Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/ncurses.h
2025-08-26T19:45:30.8240470Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/eti.h
2025-08-26T19:45:30.8241390Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/ncurses_dll.h
2025-08-26T19:45:30.8242150Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/term_entry.h
2025-08-26T19:45:30.8242810Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/menu.h
2025-08-26T19:45:30.8243500Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/cursesm.h
2025-08-26T19:45:30.8244440Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/curses.h
2025-08-26T19:45:30.8245370Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/pystats.h
2025-08-26T19:45:30.8246120Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/intrcheck.h
2025-08-26T19:45:30.8247000Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/sliceobject.h
2025-08-26T19:45:30.8247920Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/bltinmodule.h
2025-08-26T19:45:30.8248770Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/tupleobject.h
2025-08-26T19:45:30.8249660Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/marshal.h
2025-08-26T19:45:30.8250690Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/py_curses.h
2025-08-26T19:45:30.8251580Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/errcode.h
2025-08-26T19:45:30.8252440Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/iterobject.h
2025-08-26T19:45:30.8253290Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/rangeobject.h
2025-08-26T19:45:30.8254260Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/pystrtod.h
2025-08-26T19:45:30.8255140Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/warnings.h
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2025-08-26T19:45:30.8561020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/blockquote.cpython-313.pyc
2025-08-26T19:45:30.8562520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/heading.cpython-313.pyc
2025-08-26T19:45:30.8564160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/paragraph.cpython-313.pyc
2025-08-26T19:45:30.8565950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/state_block.cpython-313.pyc
2025-08-26T19:45:30.8567460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/list.cpython-313.pyc
2025-08-26T19:45:30.8568990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/hr.cpython-313.pyc
2025-08-26T19:45:30.8570530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/table.cpython-313.pyc
2025-08-26T19:45:30.8572120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/code.cpython-313.pyc
2025-08-26T19:45:30.8573840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/html_block.cpython-313.pyc
2025-08-26T19:45:30.8575450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/reference.cpython-313.pyc
2025-08-26T19:45:30.8577010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/fence.cpython-313.pyc
2025-08-26T19:45:30.8578620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/__init__.cpython-313.pyc
2025-08-26T19:45:30.8580350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/lheading.cpython-313.pyc
2025-08-26T19:45:30.8581460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/hr.py
2025-08-26T19:45:30.8582810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/heading.py
2025-08-26T19:45:30.8584200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/blockquote.py
2025-08-26T19:45:30.8585580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/paragraph.py
2025-08-26T19:45:30.8586940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/reference.py
2025-08-26T19:45:30.8588220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/table.py
2025-08-26T19:45:30.8589640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/state_block.py
2025-08-26T19:45:30.8590790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/ruler.py
2025-08-26T19:45:30.8592260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/smartquotes.py
2025-08-26T19:45:30.8593660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/normalize.py
2025-08-26T19:45:30.8595290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/replacements.py
2025-08-26T19:45:30.8596440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__init__.py
2025-08-26T19:45:30.8598010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/block.cpython-313.pyc
2025-08-26T19:45:30.8599600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/state_core.cpython-313.pyc
2025-08-26T19:45:30.8601340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/normalize.cpython-313.pyc
2025-08-26T19:45:30.8602920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/linkify.cpython-313.pyc
2025-08-26T19:45:30.8604460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/inline.cpython-313.pyc
2025-08-26T19:45:30.8606280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/replacements.cpython-313.pyc
2025-08-26T19:45:30.8608210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/smartquotes.cpython-313.pyc
2025-08-26T19:45:30.8610390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/__init__.cpython-313.pyc
2025-08-26T19:45:30.8612060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/state_core.py
2025-08-26T19:45:30.8613840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/linkify.py
2025-08-26T19:45:30.8615610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/block.py
2025-08-26T19:45:30.8617300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/inline.py
2025-08-26T19:45:30.8619010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__init__.py
2025-08-26T19:45:30.8620710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/parser_core.py
2025-08-26T19:45:30.8622520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/main.cpython-313.pyc
2025-08-26T19:45:30.8624550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/renderer.cpython-313.pyc
2025-08-26T19:45:30.8626540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/parser_block.cpython-313.pyc
2025-08-26T19:45:30.8628500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/ruler.cpython-313.pyc
2025-08-26T19:45:30.8630550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/parser_core.cpython-313.pyc
2025-08-26T19:45:30.8632440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/_compat.cpython-313.pyc
2025-08-26T19:45:30.8634400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/token.cpython-313.pyc
2025-08-26T19:45:30.8636380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/utils.cpython-313.pyc
2025-08-26T19:45:30.8638190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/tree.cpython-313.pyc
2025-08-26T19:45:30.8640170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/parser_inline.cpython-313.pyc
2025-08-26T19:45:30.8642090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/_punycode.cpython-313.pyc
2025-08-26T19:45:30.8644070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/__init__.cpython-313.pyc
2025-08-26T19:45:30.8645730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/cli/__init__.py
2025-08-26T19:45:30.8647620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/cli/__pycache__/parse.cpython-313.pyc
2025-08-26T19:45:30.8649490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/cli/__pycache__/__init__.cpython-313.pyc
2025-08-26T19:45:30.8651140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/cli/parse.py
2025-08-26T19:45:30.8652610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/port.yaml
2025-08-26T19:45:30.8654330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__init__.py
2025-08-26T19:45:30.8656390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__pycache__/normalize_url.cpython-313.pyc
2025-08-26T19:45:30.8658310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__pycache__/html_re.cpython-313.pyc
2025-08-26T19:45:30.8660300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__pycache__/entities.cpython-313.pyc
2025-08-26T19:45:30.8662440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__pycache__/utils.cpython-313.pyc
2025-08-26T19:45:30.8664520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__pycache__/html_blocks.cpython-313.pyc
2025-08-26T19:45:30.8666250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__pycache__/__init__.cpython-313.pyc
2025-08-26T19:45:30.8667970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/html_blocks.py
2025-08-26T19:45:30.8669600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/html_re.py
2025-08-26T19:45:30.8671290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/utils.py
2025-08-26T19:45:30.8673110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/normalize_url.py
2025-08-26T19:45:30.8675040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/entities.py
2025-08-26T19:45:30.8676950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/utils.py
2025-08-26T19:45:30.8678670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/py.typed
2025-08-26T19:45:30.8680430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/link.py
2025-08-26T19:45:30.8682180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/escape.py
2025-08-26T19:45:30.8683990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/autolink.py
2025-08-26T19:45:30.8685900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/strikethrough.py
2025-08-26T19:45:30.8687530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/html_inline.py
2025-08-26T19:45:30.8689340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__init__.py
2025-08-26T19:45:30.8691180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/state_inline.py
2025-08-26T19:45:30.8693280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/autolink.cpython-313.pyc
2025-08-26T19:45:30.8695300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/link.cpython-313.pyc
2025-08-26T19:45:30.8697670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/balance_pairs.cpython-313.pyc
2025-08-26T19:45:30.8699490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/image.cpython-313.pyc
2025-08-26T19:45:30.8701690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/entity.cpython-313.pyc
2025-08-26T19:45:30.8703870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/text.cpython-313.pyc
2025-08-26T19:45:30.8705790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/escape.cpython-313.pyc
2025-08-26T19:45:30.8708100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/backticks.cpython-313.pyc
2025-08-26T19:45:30.8709880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/html_inline.cpython-313.pyc
2025-08-26T19:45:30.8711990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/newline.cpython-313.pyc
2025-08-26T19:45:30.8714150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/emphasis.cpython-313.pyc
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2025-08-26T19:45:31.1245360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/images/pwrdLogo100.gif
2025-08-26T19:45:31.1246520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/images/logo100.gif
2025-08-26T19:45:31.1247650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/images/logo64.gif
2025-08-26T19:45:31.1248790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/spinbox.tcl
2025-08-26T19:45:31.1249900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/unsupported.tcl
2025-08-26T19:45:31.1250890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/clrpick.tcl
2025-08-26T19:45:31.1251820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/entry.tcl
2025-08-26T19:45:31.1253020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/console.tcl
2025-08-26T19:45:31.1254050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/icons.tcl
2025-08-26T19:45:31.1255070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/choosedir.tcl
2025-08-26T19:45:31.1256070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/menu.tcl
2025-08-26T19:45:31.1257210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/dialog.tcl
2025-08-26T19:45:31.1258430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/comdlg.tcl
2025-08-26T19:45:31.1259460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/tclIndex
2025-08-26T19:45:31.1260550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/pl.msg
2025-08-26T19:45:31.1261700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/el.msg
2025-08-26T19:45:31.1262910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/sv.msg
2025-08-26T19:45:31.1264000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/en.msg
2025-08-26T19:45:31.1265130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/eo.msg
2025-08-26T19:45:31.1266160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/ru.msg
2025-08-26T19:45:31.1267290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/fr.msg
2025-08-26T19:45:31.1268550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/nl.msg
2025-08-26T19:45:31.1269690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/cs.msg
2025-08-26T19:45:31.1270850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/en_gb.msg
2025-08-26T19:45:31.1271990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/es.msg
2025-08-26T19:45:31.1273050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/hu.msg
2025-08-26T19:45:31.1274040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/da.msg
2025-08-26T19:45:31.1275250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/fi.msg
2025-08-26T19:45:31.1276470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/zh_cn.msg
2025-08-26T19:45:31.1277620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/pt.msg
2025-08-26T19:45:31.1278700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/de.msg
2025-08-26T19:45:31.1279880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/it.msg
2025-08-26T19:45:31.1280960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/tearoff.tcl
2025-08-26T19:45:31.1282010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/pkgIndex.tcl
2025-08-26T19:45:31.1283080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/tkAppInit.c
2025-08-26T19:45:31.1284190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/bgerror.tcl
2025-08-26T19:45:31.1285120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/scrlbar.tcl
2025-08-26T19:45:31.1286400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/safetk.tcl
2025-08-26T19:45:31.1287490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/iconlist.tcl
2025-08-26T19:45:31.1288850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/optMenu.tcl
2025-08-26T19:45:31.1293750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/xmfbox.tcl
2025-08-26T19:45:31.1294000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/listbox.tcl
2025-08-26T19:45:31.1294180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/focus.tcl
2025-08-26T19:45:31.1294380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/style.tcl
2025-08-26T19:45:31.1294570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/bitmap.tcl
2025-08-26T19:45:31.1295100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/aniwave.tcl
2025-08-26T19:45:31.1296340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/bind.tcl
2025-08-26T19:45:31.1297440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/image1.tcl
2025-08-26T19:45:31.1298470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/textpeer.tcl
2025-08-26T19:45:31.1299590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/msgbox.tcl
2025-08-26T19:45:31.1300730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/button.tcl
2025-08-26T19:45:31.1301810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/en.msg
2025-08-26T19:45:31.1302870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/text.tcl
2025-08-26T19:45:31.1303860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/image2.tcl
2025-08-26T19:45:31.1304810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/paned2.tcl
2025-08-26T19:45:31.1305940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/filebox.tcl
2025-08-26T19:45:31.1307000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/sayings.tcl
2025-08-26T19:45:31.1307990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/plot.tcl
2025-08-26T19:45:31.1309160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ttkscale.tcl
2025-08-26T19:45:31.1310200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/goldberg.tcl
2025-08-26T19:45:31.1311160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/widget
2025-08-26T19:45:31.1312200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ttkprogress.tcl
2025-08-26T19:45:31.1313170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/paned1.tcl
2025-08-26T19:45:31.1314290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ttknote.tcl
2025-08-26T19:45:31.1315550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/form.tcl
2025-08-26T19:45:31.1316920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/flagup.xbm
2025-08-26T19:45:31.1318260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/letters.xbm
2025-08-26T19:45:31.1319340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/earthris.gif
2025-08-26T19:45:31.1320360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/gray25.xbm
2025-08-26T19:45:31.1321860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/earthmenu.png
2025-08-26T19:45:31.1322760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/ouster.png
2025-08-26T19:45:31.1323970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/noletter.xbm
2025-08-26T19:45:31.1325180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/teapot.ppm
2025-08-26T19:45:31.1326400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/pattern.xbm
2025-08-26T19:45:31.1327520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/tcllogo.gif
2025-08-26T19:45:31.1328690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/flagdown.xbm
2025-08-26T19:45:31.1329970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/earth.gif
2025-08-26T19:45:31.1331050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/tree.tcl
2025-08-26T19:45:31.1332200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/floor.tcl
2025-08-26T19:45:31.1333470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/clrpick.tcl
2025-08-26T19:45:31.1334530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/spin.tcl
2025-08-26T19:45:31.1335520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/timer
2025-08-26T19:45:31.1336700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ttkpane.tcl
2025-08-26T19:45:31.1337830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/fontchoose.tcl
2025-08-26T19:45:31.1338810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/dialog1.tcl
2025-08-26T19:45:31.1339900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/license.terms
2025-08-26T19:45:31.1340810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/nl.msg
2025-08-26T19:45:31.1341790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/dialog2.tcl
2025-08-26T19:45:31.1342900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/twind.tcl
2025-08-26T19:45:31.1343930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/menu.tcl
2025-08-26T19:45:31.1345050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/knightstour.tcl
2025-08-26T19:45:31.1346000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/README
2025-08-26T19:45:31.1347180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/cscroll.tcl
2025-08-26T19:45:31.1348390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/anilabel.tcl
2025-08-26T19:45:31.1349370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ixset
2025-08-26T19:45:31.1350460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/arrow.tcl
2025-08-26T19:45:31.1351580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/toolbar.tcl
2025-08-26T19:45:31.1352610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ttkmenu.tcl
2025-08-26T19:45:31.1353700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/search.tcl
2025-08-26T19:45:31.1354980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/tclIndex
2025-08-26T19:45:31.1356020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ctext.tcl
2025-08-26T19:45:31.1357140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/menubu.tcl
2025-08-26T19:45:31.1358380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/label.tcl
2025-08-26T19:45:31.1359600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/tcolor
2025-08-26T19:45:31.1360620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ttkspin.tcl
2025-08-26T19:45:31.1361880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/puzzle.tcl
2025-08-26T19:45:31.1363020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/hscale.tcl
2025-08-26T19:45:31.1364160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/hello
2025-08-26T19:45:31.1365280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/browse
2025-08-26T19:45:31.1366580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ttkbut.tcl
2025-08-26T19:45:31.1367730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/labelframe.tcl
2025-08-26T19:45:31.1368830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/states.tcl
2025-08-26T19:45:31.1370010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/unicodeout.tcl
2025-08-26T19:45:31.1371120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/rolodex
2025-08-26T19:45:31.1372230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/entry1.tcl
2025-08-26T19:45:31.1373540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/combo.tcl
2025-08-26T19:45:31.1374680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/check.tcl
2025-08-26T19:45:31.1376020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/pendulum.tcl
2025-08-26T19:45:31.1377300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/mclist.tcl
2025-08-26T19:45:31.1378390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/entry2.tcl
2025-08-26T19:45:31.1379510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/radio.tcl
2025-08-26T19:45:31.1380900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/colors.tcl
2025-08-26T19:45:31.1382000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/icon.tcl
2025-08-26T19:45:31.1383080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/rmt
2025-08-26T19:45:31.1384250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/items.tcl
2025-08-26T19:45:31.1385380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/entry3.tcl
2025-08-26T19:45:31.1386450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ruler.tcl
2025-08-26T19:45:31.1387670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/vscale.tcl
2025-08-26T19:45:31.1388600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/scale.tcl
2025-08-26T19:45:31.1389820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/palette.tcl
2025-08-26T19:45:31.1390940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/word.tcl
2025-08-26T19:45:31.1391970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/tm.tcl
2025-08-26T19:45:31.1392940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/clock.tcl
2025-08-26T19:45:31.1393990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/history.tcl
2025-08-26T19:45:31.1395190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp869.enc
2025-08-26T19:45:31.1396580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp855.enc
2025-08-26T19:45:31.1397830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso2022-jp.enc
2025-08-26T19:45:31.1399020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/jis0201.enc
2025-08-26T19:45:31.1400170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp857.enc
2025-08-26T19:45:31.1401580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macJapan.enc
2025-08-26T19:45:31.1402820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macUkraine.enc
2025-08-26T19:45:31.1403980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp936.enc
2025-08-26T19:45:31.1405210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp932.enc
2025-08-26T19:45:31.1406480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/tis-620.enc
2025-08-26T19:45:31.1407590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp852.enc
2025-08-26T19:45:31.1408890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso2022-kr.enc
2025-08-26T19:45:31.1410290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macIceland.enc
2025-08-26T19:45:31.1411410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp850.enc
2025-08-26T19:45:31.1412580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/jis0212.enc
2025-08-26T19:45:31.1413790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/symbol.enc
2025-08-26T19:45:31.1414930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macTurkish.enc
2025-08-26T19:45:31.1416120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/ascii.enc
2025-08-26T19:45:31.1417380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macGreek.enc
2025-08-26T19:45:31.1418520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/gb12345.enc
2025-08-26T19:45:31.1419810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-6.enc
2025-08-26T19:45:31.1421060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-7.enc
2025-08-26T19:45:31.1422220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-5.enc
2025-08-26T19:45:31.1423530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-4.enc
2025-08-26T19:45:31.1424770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-1.enc
2025-08-26T19:45:31.1426020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/dingbats.enc
2025-08-26T19:45:31.1427170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp950.enc
2025-08-26T19:45:31.1428460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1258.enc
2025-08-26T19:45:31.1429580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp775.enc
2025-08-26T19:45:31.1430910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-3.enc
2025-08-26T19:45:31.1432320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-2.enc
2025-08-26T19:45:31.1433590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/gb2312-raw.enc
2025-08-26T19:45:31.1434820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macCyrillic.enc
2025-08-26T19:45:31.1436090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1256.enc
2025-08-26T19:45:31.1437280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/gb1988.enc
2025-08-26T19:45:31.1438470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/ebcdic.enc
2025-08-26T19:45:31.1439760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/euc-jp.enc
2025-08-26T19:45:31.1441030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-13.enc
2025-08-26T19:45:31.1442270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/ksc5601.enc
2025-08-26T19:45:31.1443420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/big5.enc
2025-08-26T19:45:31.1444580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1257.enc
2025-08-26T19:45:31.1445780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/gb2312.enc
2025-08-26T19:45:31.1446880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1255.enc
2025-08-26T19:45:31.1448070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp949.enc
2025-08-26T19:45:31.1449280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-11.enc
2025-08-26T19:45:31.1450470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-10.enc
2025-08-26T19:45:31.1451720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1254.enc
2025-08-26T19:45:31.1452940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1250.enc
2025-08-26T19:45:31.1454190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macCentEuro.enc
2025-08-26T19:45:31.1455660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-14.enc
2025-08-26T19:45:31.1456860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-9.enc
2025-08-26T19:45:31.1458070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/euc-kr.enc
2025-08-26T19:45:31.1459250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-8.enc
2025-08-26T19:45:31.1460600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-15.enc
2025-08-26T19:45:31.1461740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1251.enc
2025-08-26T19:45:31.1462920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1253.enc
2025-08-26T19:45:31.1464160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-16.enc
2025-08-26T19:45:31.1465430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp437.enc
2025-08-26T19:45:31.1466560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1252.enc
2025-08-26T19:45:31.1467780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/koi8-u.enc
2025-08-26T19:45:31.1469130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macThai.enc
2025-08-26T19:45:31.1470380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/shiftjis.enc
2025-08-26T19:45:31.1471600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp861.enc
2025-08-26T19:45:31.1472850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macRomania.enc
2025-08-26T19:45:31.1474020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp860.enc
2025-08-26T19:45:31.1475170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp874.enc
2025-08-26T19:45:31.1476480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cns11643.enc
2025-08-26T19:45:31.1477650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/koi8-t.enc
2025-08-26T19:45:31.1478930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macRoman.enc
2025-08-26T19:45:31.1479950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/jis0208.enc
2025-08-26T19:45:31.1481040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp862.enc
2025-08-26T19:45:31.1482220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso2022.enc
2025-08-26T19:45:31.1483470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macDingbats.enc
2025-08-26T19:45:31.1484630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp863.enc
2025-08-26T19:45:31.1485920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp866.enc
2025-08-26T19:45:31.1487150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/koi8-r.enc
2025-08-26T19:45:31.1488450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp737.enc
2025-08-26T19:45:31.1489620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/koi8-ru.enc
2025-08-26T19:45:31.1490950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp864.enc
2025-08-26T19:45:31.1492230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macCroatian.enc
2025-08-26T19:45:31.1493280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/euc-cn.enc
2025-08-26T19:45:31.1494330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp865.enc
2025-08-26T19:45:31.1495510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/opt0.4/optparse.tcl
2025-08-26T19:45:31.1496690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/opt0.4/pkgIndex.tcl
2025-08-26T19:45:31.1497710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/tclIndex
2025-08-26T19:45:31.1498900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/kok.msg
2025-08-26T19:45:31.1499990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/sw.msg
2025-08-26T19:45:31.1501100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/pl.msg
2025-08-26T19:45:31.1502340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/fa.msg
2025-08-26T19:45:31.1503460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/de_at.msg
2025-08-26T19:45:31.1504650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/es_bo.msg
2025-08-26T19:45:31.1505650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/el.msg
2025-08-26T19:45:31.1506760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/sv.msg
2025-08-26T19:45:31.1507880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/gl_es.msg
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2025-08-26T19:45:31.1516990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/bn_in.msg
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2025-08-26T19:45:31.1554310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/ta.msg
2025-08-26T19:45:31.1555360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/vi.msg
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2025-08-26T19:45:31.1779250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/chapel.py
2025-08-26T19:45:31.1780930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/configs.py
2025-08-26T19:45:31.1782600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/clean.py
2025-08-26T19:45:31.1784060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/mojo.py
2025-08-26T19:45:31.1785680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jslt.py
2025-08-26T19:45:31.1787220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ul4.py
2025-08-26T19:45:31.1788760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/numbair.py
2025-08-26T19:45:31.1790230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/qvt.py
2025-08-26T19:45:31.1791780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tablegen.py
2025-08-26T19:45:31.1793280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/inferno.py
2025-08-26T19:45:31.1794740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tlb.py
2025-08-26T19:45:31.1796220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/nix.py
2025-08-26T19:45:31.1797930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/wren.py
2025-08-26T19:45:31.1799820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/parasail.py
2025-08-26T19:45:31.1801410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/smithy.py
2025-08-26T19:45:31.1803020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_css_builtins.py
2025-08-26T19:45:31.1804570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/graphviz.py
2025-08-26T19:45:31.1805970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/r.py
2025-08-26T19:45:31.1807660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pawn.py
2025-08-26T19:45:31.1809230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dns.py
2025-08-26T19:45:31.1810830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/maple.py
2025-08-26T19:45:31.1812470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/idl.py
2025-08-26T19:45:31.1814140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/iolang.py
2025-08-26T19:45:31.1815800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/amdgpu.py
2025-08-26T19:45:31.1817330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dsls.py
2025-08-26T19:45:31.1819090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/supercollider.py
2025-08-26T19:45:31.1820670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/comal.py
2025-08-26T19:45:31.1822290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/solidity.py
2025-08-26T19:45:31.1823920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_scilab_builtins.py
2025-08-26T19:45:31.1825850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_lilypond_builtins.py
2025-08-26T19:45:31.1827270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/hare.py
2025-08-26T19:45:31.1829250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/lisp.py
2025-08-26T19:45:31.1830640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/j.py
2025-08-26T19:45:31.1832310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/blueprint.py
2025-08-26T19:45:31.1833970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/mosel.py
2025-08-26T19:45:31.1835570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_googlesql_builtins.py
2025-08-26T19:45:31.1837240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_vbscript_builtins.py
2025-08-26T19:45:31.1838960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_openedge_builtins.py
2025-08-26T19:45:31.1840650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/smalltalk.py
2025-08-26T19:45:31.1842220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/spice.py
2025-08-26T19:45:31.1843820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/monte.py
2025-08-26T19:45:31.1845430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_luau_builtins.py
2025-08-26T19:45:31.1846950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/webmisc.py
2025-08-26T19:45:31.1848620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/teal.py
2025-08-26T19:45:31.1850310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/c_cpp.py
2025-08-26T19:45:31.1851830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/perl.py
2025-08-26T19:45:31.1853440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/robotframework.py
2025-08-26T19:45:31.1854930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/textfmts.py
2025-08-26T19:45:31.1856500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jsonnet.py
2025-08-26T19:45:31.1858160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/cplint.py
2025-08-26T19:45:31.1859660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jsx.py
2025-08-26T19:45:31.1861240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/prolog.py
2025-08-26T19:45:31.1862590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rnc.py
2025-08-26T19:45:31.1864200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/wowtoc.py
2025-08-26T19:45:31.1865830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_julia_builtins.py
2025-08-26T19:45:31.1867600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/algebra.py
2025-08-26T19:45:31.1869130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/typoscript.py
2025-08-26T19:45:31.1870780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/automation.py
2025-08-26T19:45:31.1872400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sieve.py
2025-08-26T19:45:31.1874050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/esoteric.py
2025-08-26T19:45:31.1875470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/graph.py
2025-08-26T19:45:31.1877090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/html.py
2025-08-26T19:45:31.1878780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_php_builtins.py
2025-08-26T19:45:31.1880330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/shell.py
2025-08-26T19:45:31.1882070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/scripting.py
2025-08-26T19:45:31.1883460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/gsql.py
2025-08-26T19:45:31.1884990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/gdscript.py
2025-08-26T19:45:31.1886620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ambient.py
2025-08-26T19:45:31.1888330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/arrow.py
2025-08-26T19:45:31.1890020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/oberon.py
2025-08-26T19:45:31.1891720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_stata_builtins.py
2025-08-26T19:45:31.1893350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/floscript.py
2025-08-26T19:45:31.1895150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/resource.py
2025-08-26T19:45:31.1896690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__init__.py
2025-08-26T19:45:31.1898140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/d.py
2025-08-26T19:45:31.1899770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ruby.py
2025-08-26T19:45:31.1901260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/other.py
2025-08-26T19:45:31.1902750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pony.py
2025-08-26T19:45:31.1904260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/matlab.py
2025-08-26T19:45:31.1905890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/felix.py
2025-08-26T19:45:31.1907460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tnt.py
2025-08-26T19:45:31.1909020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_vim_builtins.py
2025-08-26T19:45:31.1910570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/freefem.py
2025-08-26T19:45:31.1912230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/thingsdb.py
2025-08-26T19:45:31.1913980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/teraterm.py
2025-08-26T19:45:31.1915680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/parsers.py
2025-08-26T19:45:31.1917140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jmespath.py
2025-08-26T19:45:31.1918830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/carbon.py
2025-08-26T19:45:31.1920540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/theorem.py
2025-08-26T19:45:31.1922260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/compiled.py
2025-08-26T19:45:31.1923870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/int_fiction.py
2025-08-26T19:45:31.1926540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_cocoa_builtins.py
2025-08-26T19:45:31.1927480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/maxima.cpython-313.pyc
2025-08-26T19:45:31.1929020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/hexdump.cpython-313.pyc
2025-08-26T19:45:31.1930620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/teal.cpython-313.pyc
2025-08-26T19:45:31.1932430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/elpi.cpython-313.pyc
2025-08-26T19:45:31.1933840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/templates.cpython-313.pyc
2025-08-26T19:45:31.1935270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/nimrod.cpython-313.pyc
2025-08-26T19:45:31.1936890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_usd_builtins.cpython-313.pyc
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2025-08-26T19:45:31.2112010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dns.cpython-313.pyc
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2025-08-26T19:45:31.2116280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_qlik_builtins.cpython-313.pyc
2025-08-26T19:45:31.2117800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/modeling.cpython-313.pyc
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2025-08-26T19:45:31.2123490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/sql.cpython-313.pyc
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2025-08-26T19:45:31.2126620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/prql.cpython-313.pyc
2025-08-26T19:45:31.2128060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/haskell.cpython-313.pyc
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2025-08-26T19:45:31.2131050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_julia_builtins.cpython-313.pyc
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2025-08-26T19:45:31.2135730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_postgres_builtins.cpython-313.pyc
2025-08-26T19:45:31.2137170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/praat.cpython-313.pyc
2025-08-26T19:45:31.2138630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/kusto.cpython-313.pyc
2025-08-26T19:45:31.2139910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/go.cpython-313.pyc
2025-08-26T19:45:31.2141440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tablegen.cpython-313.pyc
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2025-08-26T19:45:31.2144510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/gcodelexer.cpython-313.pyc
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2025-08-26T19:45:31.2153390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_lua_builtins.cpython-313.pyc
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2025-08-26T19:45:31.2157900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_cl_builtins.cpython-313.pyc
2025-08-26T19:45:31.2159250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tact.cpython-313.pyc
2025-08-26T19:45:31.2160670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/minecraft.cpython-313.pyc
2025-08-26T19:45:31.2163060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/rnc.cpython-313.pyc
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2025-08-26T19:45:31.2174030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_scilab_builtins.cpython-313.pyc
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2025-08-26T19:45:31.2191920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/smv.cpython-313.pyc
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2025-08-26T19:45:31.2199420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/supercollider.cpython-313.pyc
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2025-08-26T19:45:31.2216990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_csound_builtins.cpython-313.pyc
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2025-08-26T19:45:31.2232330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/matlab.cpython-313.pyc
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2025-08-26T19:45:31.2238170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tcl.cpython-313.pyc
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2025-08-26T19:45:31.2245550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/oberon.cpython-313.pyc
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2025-08-26T19:45:31.2254720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/archetype.cpython-313.pyc
2025-08-26T19:45:31.2256690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/julia.cpython-313.pyc
2025-08-26T19:45:31.2258640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/scdoc.cpython-313.pyc
2025-08-26T19:45:31.2260630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/unicon.cpython-313.pyc
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2025-08-26T19:45:31.2266170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tnt.cpython-313.pyc
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2025-08-26T19:45:31.2281160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/webmisc.cpython-313.pyc
2025-08-26T19:45:31.2283200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_php_builtins.cpython-313.pyc
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2025-08-26T19:45:31.2288980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_tsql_builtins.cpython-313.pyc
2025-08-26T19:45:31.2291030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/eiffel.cpython-313.pyc
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2025-08-26T19:45:31.2295540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/business.cpython-313.pyc
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2025-08-26T19:45:31.2301230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/monte.cpython-313.pyc
2025-08-26T19:45:31.2302850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_vbscript_builtins.cpython-313.pyc
2025-08-26T19:45:31.2304240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/func.cpython-313.pyc
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2025-08-26T19:45:31.2308650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/theorem.cpython-313.pyc
2025-08-26T19:45:31.2310070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/rdf.cpython-313.pyc
2025-08-26T19:45:31.2311540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/lisp.cpython-313.pyc
2025-08-26T19:45:31.2313200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_stata_builtins.cpython-313.pyc
2025-08-26T19:45:31.2314520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/comal.cpython-313.pyc
2025-08-26T19:45:31.2315920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/d.cpython-313.pyc
2025-08-26T19:45:31.2317360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/crystal.cpython-313.pyc
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2025-08-26T19:45:31.2320430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/roboconf.cpython-313.pyc
2025-08-26T19:45:31.2321970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_asy_builtins.cpython-313.pyc
2025-08-26T19:45:31.2323500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_mql_builtins.cpython-313.pyc
2025-08-26T19:45:31.2324970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ezhil.cpython-313.pyc
2025-08-26T19:45:31.2326390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/carbon.cpython-313.pyc
2025-08-26T19:45:31.2327850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/felix.cpython-313.pyc
2025-08-26T19:45:31.2329290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/configs.cpython-313.pyc
2025-08-26T19:45:31.2331030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/other.cpython-313.pyc
2025-08-26T19:45:31.2332290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/fantom.cpython-313.pyc
2025-08-26T19:45:31.2333820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/parasail.cpython-313.pyc
2025-08-26T19:45:31.2335320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/__init__.cpython-313.pyc
2025-08-26T19:45:31.2336780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dylan.cpython-313.pyc
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2025-08-26T19:45:31.2339910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/sieve.cpython-313.pyc
2025-08-26T19:45:31.2341420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/grammar_notation.cpython-313.pyc
2025-08-26T19:45:31.2342850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/wowtoc.cpython-313.pyc
2025-08-26T19:45:31.2344230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/q.cpython-313.pyc
2025-08-26T19:45:31.2345650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/kuin.cpython-313.pyc
2025-08-26T19:45:31.2347090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/hare.cpython-313.pyc
2025-08-26T19:45:31.2349040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dax.cpython-313.pyc
2025-08-26T19:45:31.2350160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_googlesql_builtins.cpython-313.pyc
2025-08-26T19:45:31.2351560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/pddl.cpython-313.pyc
2025-08-26T19:45:31.2353000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/jsx.cpython-313.pyc
2025-08-26T19:45:31.2354460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/textfmts.cpython-313.pyc
2025-08-26T19:45:31.2355900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/vip.cpython-313.pyc
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2025-08-26T19:45:31.2358830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/apl.cpython-313.pyc
2025-08-26T19:45:31.2360340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/smithy.cpython-313.pyc
2025-08-26T19:45:31.2361810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/clean.cpython-313.pyc
2025-08-26T19:45:31.2363260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tlb.cpython-313.pyc
2025-08-26T19:45:31.2364780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/smalltalk.cpython-313.pyc
2025-08-26T19:45:31.2366250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/promql.cpython-313.pyc
2025-08-26T19:45:31.2367690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dotnet.cpython-313.pyc
2025-08-26T19:45:31.2368820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ncl.py
2025-08-26T19:45:31.2370060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/vyper.py
2025-08-26T19:45:31.2371350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/lilypond.py
2025-08-26T19:45:31.2372510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/markup.py
2025-08-26T19:45:31.2373700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pddl.py
2025-08-26T19:45:31.2375180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_asy_builtins.py
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2025-08-26T19:45:31.2378630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/savi.py
2025-08-26T19:45:31.2379840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/bqn.py
2025-08-26T19:45:31.2381040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tal.py
2025-08-26T19:45:31.2382240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tls.py
2025-08-26T19:45:31.2383510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/templates.py
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2025-08-26T19:45:31.2385950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/css.py
2025-08-26T19:45:31.2387510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/asm.py
2025-08-26T19:45:31.2388420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/roboconf.py
2025-08-26T19:45:31.2389760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_lasso_builtins.py
2025-08-26T19:45:31.2390960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pascal.py
2025-08-26T19:45:31.2392180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/csound.py
2025-08-26T19:45:31.2393410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/typst.py
2025-08-26T19:45:31.2394590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ptx.py
2025-08-26T19:45:31.2395820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sgf.py
2025-08-26T19:45:31.2397000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/kusto.py
2025-08-26T19:45:31.2398340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/webassembly.py
2025-08-26T19:45:31.2399570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/procfile.py
2025-08-26T19:45:31.2401070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/functional.py
2025-08-26T19:45:31.2402040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/codeql.py
2025-08-26T19:45:31.2403400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/textedit.py
2025-08-26T19:45:31.2404560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/installers.py
2025-08-26T19:45:31.2405950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/business.py
2025-08-26T19:45:31.2406990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tcl.py
2025-08-26T19:45:31.2408260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/minecraft.py
2025-08-26T19:45:31.2409440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/vip.py
2025-08-26T19:45:31.2410630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/mips.py
2025-08-26T19:45:31.2411890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/meson.py
2025-08-26T19:45:31.2413090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/basic.py
2025-08-26T19:45:31.2414450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_stan_builtins.py
2025-08-26T19:45:31.2415630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/prql.py
2025-08-26T19:45:31.2416870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/eiffel.py
2025-08-26T19:45:31.2418590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/scdoc.py
2025-08-26T19:45:31.2420430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dax.py
2025-08-26T19:45:31.2421840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rdf.py
2025-08-26T19:45:31.2423500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/gleam.py
2025-08-26T19:45:31.2425030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/email.py
2025-08-26T19:45:31.2426560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sophia.py
2025-08-26T19:45:31.2428280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/modula2.py
2025-08-26T19:45:31.2429930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/nit.py
2025-08-26T19:45:31.2431690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/actionscript.py
2025-08-26T19:45:31.2433260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/qlik.py
2025-08-26T19:45:31.2434920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/text.py
2025-08-26T19:45:31.2436340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/apl.py
2025-08-26T19:45:31.2437890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_cl_builtins.py
2025-08-26T19:45:31.2439660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_mql_builtins.py
2025-08-26T19:45:31.2441380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/srcinfo.py
2025-08-26T19:45:31.2442960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rego.py
2025-08-26T19:45:31.2444880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/archetype.py
2025-08-26T19:45:31.2446520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/python.py
2025-08-26T19:45:31.2448210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_csound_builtins.py
2025-08-26T19:45:31.2449690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/factor.py
2025-08-26T19:45:31.2451220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dalvik.py
2025-08-26T19:45:31.2452650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/go.py
2025-08-26T19:45:31.2454220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/berry.py
2025-08-26T19:45:31.2455840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/unicon.py
2025-08-26T19:45:31.2457520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_usd_builtins.py
2025-08-26T19:45:31.2459040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/cddl.py
2025-08-26T19:45:31.2460510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dylan.py
2025-08-26T19:45:31.2462080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/make.py
2025-08-26T19:45:31.2463710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/diff.py
2025-08-26T19:45:31.2465240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/xorg.py
2025-08-26T19:45:31.2466820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/trafficscript.py
2025-08-26T19:45:31.2468030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/kuin.py
2025-08-26T19:45:31.2469470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jvm.py
2025-08-26T19:45:31.2470400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/smv.py
2025-08-26T19:45:31.2471600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/math.py
2025-08-26T19:45:31.2472800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tact.py
2025-08-26T19:45:31.2474050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/promql.py
2025-08-26T19:45:31.2475260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/php.py
2025-08-26T19:45:31.2476430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sql.py
2025-08-26T19:45:31.2477680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/x10.py
2025-08-26T19:45:31.2478830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/json5.py
2025-08-26T19:45:31.2480260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_mapping.py
2025-08-26T19:45:31.2481390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/gcodelexer.py
2025-08-26T19:45:31.2482630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/praat.py
2025-08-26T19:45:31.2483810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/lean.py
2025-08-26T19:45:31.2485050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/bibtex.py
2025-08-26T19:45:31.2486340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/whiley.py
2025-08-26T19:45:31.2487470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/q.py
2025-08-26T19:45:31.2488680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/snobol.py
2025-08-26T19:45:31.2490030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_mysql_builtins.py
2025-08-26T19:45:31.2491250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/webidl.py
2025-08-26T19:45:31.2492420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rita.py
2025-08-26T19:45:31.2493670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/haskell.py
2025-08-26T19:45:31.2494910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/testing.py
2025-08-26T19:45:31.2496150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/fortran.py
2025-08-26T19:45:31.2497400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/modeling.py
2025-08-26T19:45:31.2498640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/arturo.py
2025-08-26T19:45:31.2499870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/varnish.py
2025-08-26T19:45:31.2501060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/elm.py
2025-08-26T19:45:31.2502520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/asc.py
2025-08-26T19:45:31.2503530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/javascript.py
2025-08-26T19:45:31.2504690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ooc.py
2025-08-26T19:45:31.2505920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/bdd.py
2025-08-26T19:45:31.2507190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/julia.py
2025-08-26T19:45:31.2508410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/hexdump.py
2025-08-26T19:45:31.2509700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/foxpro.py
2025-08-26T19:45:31.2510850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/stata.py
2025-08-26T19:45:31.2512130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/zig.py
2025-08-26T19:45:31.2513440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/grammar_notation.py
2025-08-26T19:45:31.2514590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/bare.py
2025-08-26T19:45:31.2515850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/openscad.py
2025-08-26T19:45:31.2517110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dotnet.py
2025-08-26T19:45:31.2518340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/fantom.py
2025-08-26T19:45:31.2519590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/special.py
2025-08-26T19:45:31.2520770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/yang.py
2025-08-26T19:45:31.2521990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/fift.py
2025-08-26T19:45:31.2523440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ezhil.py
2025-08-26T19:45:31.2524420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ride.py
2025-08-26T19:45:31.2525810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_scheme_builtins.py
2025-08-26T19:45:31.2527030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/devicetree.py
2025-08-26T19:45:31.2528540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/macaulay2.py
2025-08-26T19:45:31.2529500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/urbi.py
2025-08-26T19:45:31.2530690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/haxe.py
2025-08-26T19:45:31.2531930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/func.py
2025-08-26T19:45:31.2533160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/data.py
2025-08-26T19:45:31.2534490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_ada_builtins.py
2025-08-26T19:45:31.2535660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/yara.py
2025-08-26T19:45:31.2536940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pointless.py
2025-08-26T19:45:31.2538280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/asn1.py
2025-08-26T19:45:31.2539950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_tsql_builtins.py
2025-08-26T19:45:31.2541710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/wgsl.py
2025-08-26T19:45:31.2543250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rust.py
2025-08-26T19:45:31.2544470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/token.py
2025-08-26T19:45:31.2546140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/style.py
2025-08-26T19:45:31.2547740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/util.py
2025-08-26T19:45:31.2549380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/sphinxext.py
2025-08-26T19:45:31.2550940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/cmdline.py
2025-08-26T19:45:31.2552440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__init__.py
2025-08-26T19:45:31.2554200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/terminal.py
2025-08-26T19:45:31.2555670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/html.py
2025-08-26T19:45:31.2557220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/irc.py
2025-08-26T19:45:31.2558980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__init__.py
2025-08-26T19:45:31.2560520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/other.py
2025-08-26T19:45:31.2562710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/html.cpython-313.pyc
2025-08-26T19:45:31.2564700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/pangomarkup.cpython-313.pyc
2025-08-26T19:45:31.2566600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/img.cpython-313.pyc
2025-08-26T19:45:31.2568390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/groff.cpython-313.pyc
2025-08-26T19:45:31.2570120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/svg.cpython-313.pyc
2025-08-26T19:45:31.2571950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/latex.cpython-313.pyc
2025-08-26T19:45:31.2573800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/bbcode.cpython-313.pyc
2025-08-26T19:45:31.2575870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/terminal256.cpython-313.pyc
2025-08-26T19:45:31.2577620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/irc.cpython-313.pyc
2025-08-26T19:45:31.2579470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/terminal.cpython-313.pyc
2025-08-26T19:45:31.2581360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/_mapping.cpython-313.pyc
2025-08-26T19:45:31.2583130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/rtf.cpython-313.pyc
2025-08-26T19:45:31.2585420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/other.cpython-313.pyc
2025-08-26T19:45:31.2587580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/__init__.cpython-313.pyc
2025-08-26T19:45:31.2589200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/img.py
2025-08-26T19:45:31.2590830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/terminal256.py
2025-08-26T19:45:31.2592460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/rtf.py
2025-08-26T19:45:31.2594160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/svg.py
2025-08-26T19:45:31.2595870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/bbcode.py
2025-08-26T19:45:31.2597500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/pangomarkup.py
2025-08-26T19:45:31.2599130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/_mapping.py
2025-08-26T19:45:31.2600820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/groff.py
2025-08-26T19:45:31.2602410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/latex.py
2025-08-26T19:45:31.2604160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/formatter.cpython-313.pyc
2025-08-26T19:45:31.2606110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/regexopt.cpython-313.pyc
2025-08-26T19:45:31.2607830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/scanner.cpython-313.pyc
2025-08-26T19:45:31.2609560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/lexer.cpython-313.pyc
2025-08-26T19:45:31.2611520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/plugin.cpython-313.pyc
2025-08-26T19:45:31.2613340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/style.cpython-313.pyc
2025-08-26T19:45:31.2615030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/token.cpython-313.pyc
2025-08-26T19:45:31.2616850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/unistring.cpython-313.pyc
2025-08-26T19:45:31.2618620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/modeline.cpython-313.pyc
2025-08-26T19:45:31.2620370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/util.cpython-313.pyc
2025-08-26T19:45:31.2622470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/cmdline.cpython-313.pyc
2025-08-26T19:45:31.2624290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/sphinxext.cpython-313.pyc
2025-08-26T19:45:31.2626090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/filter.cpython-313.pyc
2025-08-26T19:45:31.2628050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/__main__.cpython-313.pyc
2025-08-26T19:45:31.2629820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/__init__.cpython-313.pyc
2025-08-26T19:45:31.2631510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/console.cpython-313.pyc
2025-08-26T19:45:31.2633170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/sas.py
2025-08-26T19:45:31.2634830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/material.py
2025-08-26T19:45:31.2636550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/friendly_grayscale.py
2025-08-26T19:45:31.2638150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/pastie.py
2025-08-26T19:45:31.2639690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/onedark.py
2025-08-26T19:45:31.2641230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/inkpot.py
2025-08-26T19:45:31.2642770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/xcode.py
2025-08-26T19:45:31.2644320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/gruvbox.py
2025-08-26T19:45:31.2645740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/monokai.py
2025-08-26T19:45:31.2647220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/tango.py
2025-08-26T19:45:31.2648220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/friendly.py
2025-08-26T19:45:31.2649500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/staroffice.py
2025-08-26T19:45:31.2650770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/paraiso_dark.py
2025-08-26T19:45:31.2652060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/solarized.py
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2025-08-26T19:45:31.2655240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/algol_nu.py
2025-08-26T19:45:31.2656860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/gh_dark.py
2025-08-26T19:45:31.2658380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/native.py
2025-08-26T19:45:31.2660150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/xcode.cpython-313.pyc
2025-08-26T19:45:31.2661920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/algol.cpython-313.pyc
2025-08-26T19:45:31.2664210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/colorful.cpython-313.pyc
2025-08-26T19:45:31.2666190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/borland.cpython-313.pyc
2025-08-26T19:45:31.2667890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/arduino.cpython-313.pyc
2025-08-26T19:45:31.2669620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/onedark.cpython-313.pyc
2025-08-26T19:45:31.2671510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/stata_dark.cpython-313.pyc
2025-08-26T19:45:31.2673440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/fruity.cpython-313.pyc
2025-08-26T19:45:31.2675280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/lightbulb.cpython-313.pyc
2025-08-26T19:45:31.2677200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/algol_nu.cpython-313.pyc
2025-08-26T19:45:31.2679210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/lilypond.cpython-313.pyc
2025-08-26T19:45:31.2681010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/gh_dark.cpython-313.pyc
2025-08-26T19:45:31.2682940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/manni.cpython-313.pyc
2025-08-26T19:45:31.2684760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/igor.cpython-313.pyc
2025-08-26T19:45:31.2686690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/material.cpython-313.pyc
2025-08-26T19:45:31.2688570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/murphy.cpython-313.pyc
2025-08-26T19:45:31.2690500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/lovelace.cpython-313.pyc
2025-08-26T19:45:31.2692320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/vs.cpython-313.pyc
2025-08-26T19:45:31.2694230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/nord.cpython-313.pyc
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2025-08-26T19:45:31.3853120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/hp_roman8.py
2025-08-26T19:45:31.3854460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/koi8_r.py
2025-08-26T19:45:31.3856050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/zlib_codec.py
2025-08-26T19:45:31.3857520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/gbk.py
2025-08-26T19:45:31.3858940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/johab.py
2025-08-26T19:45:31.3860440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp1253.py
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2025-08-26T19:45:31.3864680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/mac_iceland.py
2025-08-26T19:45:31.3866030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso8859_3.py
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2025-08-26T19:45:31.3868690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/rot_13.py
2025-08-26T19:45:31.3870120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/utf_16_be.py
2025-08-26T19:45:31.3871520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/euc_kr.py
2025-08-26T19:45:31.3872880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/euc_jisx0213.py
2025-08-26T19:45:31.3874080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp863.py
2025-08-26T19:45:31.3875480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/ascii.py
2025-08-26T19:45:31.3876780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso8859_8.py
2025-08-26T19:45:31.3878140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp857.py
2025-08-26T19:45:31.3879520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/utf_32_be.py
2025-08-26T19:45:31.3880950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp1258.py
2025-08-26T19:45:31.3882250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/oem.py
2025-08-26T19:45:31.3883660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/mac_latin2.py
2025-08-26T19:45:31.3884900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp775.py
2025-08-26T19:45:31.3886360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/mac_roman.py
2025-08-26T19:45:31.3887660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/__init__.py
2025-08-26T19:45:31.3889000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp852.py
2025-08-26T19:45:31.3890520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/shift_jisx0213.py
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2025-08-26T19:45:31.3893010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/utf_7.py
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2025-08-26T19:45:31.4437630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/_ios_support.py
2025-08-26T19:45:31.4438910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/wave.py
2025-08-26T19:45:31.4440060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/weakref.py
2025-08-26T19:45:31.4441790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/_sysconfigdata_arm64_apple_darwin20_0_0.py
2025-08-26T19:45:31.4443030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/bisect.py
2025-08-26T19:45:31.4444320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/opcode.py
2025-08-26T19:45:31.4445450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/netrc.py
2025-08-26T19:45:31.4446870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/heapq.py
2025-08-26T19:45:31.4448130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pathlib/_local.py
2025-08-26T19:45:31.4449470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pathlib/_abc.py
2025-08-26T19:45:31.4450970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pathlib/__init__.py
2025-08-26T19:45:31.4452540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pathlib/__pycache__/_abc.cpython-313.pyc
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2025-08-26T19:45:31.4456020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pathlib/__pycache__/_local.cpython-313.pyc
2025-08-26T19:45:31.4457220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/functools.py
2025-08-26T19:45:31.4458550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/modulefinder.py
2025-08-26T19:45:31.4459970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/_compression.py
2025-08-26T19:45:31.4461380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/tracemalloc.py
2025-08-26T19:45:31.4462610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/hashlib.py
2025-08-26T19:45:31.4463970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/codeop.py
2025-08-26T19:45:31.4465290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/turtle.cfg
2025-08-26T19:45:31.4466540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/tree.py
2025-08-26T19:45:31.4468000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/round_dance.py
2025-08-26T19:45:31.4469440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/colormixer.py
2025-08-26T19:45:31.4470900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/bytedesign.py
2025-08-26T19:45:31.4472330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/chaos.py
2025-08-26T19:45:31.4473640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/clock.py
2025-08-26T19:45:31.4475260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/sorting_animate.py
2025-08-26T19:45:31.4476670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/paint.py
2025-08-26T19:45:31.4478050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__init__.py
2025-08-26T19:45:31.4479520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/lindenmayer.py
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2025-08-26T19:45:31.4489760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/penrose.cpython-313.pyc
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2025-08-26T19:45:31.4492940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/peace.cpython-313.pyc
2025-08-26T19:45:31.4494840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/planet_and_moon.cpython-313.pyc
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2025-08-26T19:45:31.4501860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/round_dance.cpython-313.pyc
2025-08-26T19:45:31.4503610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/fractalcurves.cpython-313.pyc
2025-08-26T19:45:31.4505190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/nim.cpython-313.pyc
2025-08-26T19:45:31.4506880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/colormixer.cpython-313.pyc
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2025-08-26T19:45:31.4513710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/__init__.cpython-313.pyc
2025-08-26T19:45:31.4515360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/bytedesign.cpython-313.pyc
2025-08-26T19:45:31.4516590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/penrose.py
2025-08-26T19:45:31.4517860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/peace.py
2025-08-26T19:45:31.4519270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/rosette.py
2025-08-26T19:45:31.4520660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/nim.py
2025-08-26T19:45:31.4521810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/yinyang.py
2025-08-26T19:45:31.4522820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/fractalcurves.py
2025-08-26T19:45:31.4523980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/planet_and_moon.py
2025-08-26T19:45:31.4525050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/forest.py
2025-08-26T19:45:31.4526170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/two_canvases.py
2025-08-26T19:45:31.4527260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__main__.py
2025-08-26T19:45:31.4528430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/minimal_hanoi.py
2025-08-26T19:45:31.4529380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/fnmatch.py
2025-08-26T19:45:31.4530880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/dummy/__init__.py
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2025-08-26T19:45:31.4534800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/dummy/connection.py
2025-08-26T19:45:31.4535810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/queues.py
2025-08-26T19:45:31.4537160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/heap.py
2025-08-26T19:45:31.4538110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/shared_memory.py
2025-08-26T19:45:31.4539310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/resource_tracker.py
2025-08-26T19:45:31.4540530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/reduction.py
2025-08-26T19:45:31.4541550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/util.py
2025-08-26T19:45:31.4542790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/popen_spawn_win32.py
2025-08-26T19:45:31.4543870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__init__.py
2025-08-26T19:45:31.4545550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/resource_tracker.cpython-313.pyc
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2025-08-26T19:45:31.4548270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/spawn.cpython-313.pyc
2025-08-26T19:45:31.4549610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/managers.cpython-313.pyc
2025-08-26T19:45:31.4550950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/heap.cpython-313.pyc
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2025-08-26T19:45:31.4553680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/synchronize.cpython-313.pyc
2025-08-26T19:45:31.4555110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/popen_spawn_win32.cpython-313.pyc
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2025-08-26T19:45:31.4579150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/forkserver.py
2025-08-26T19:45:31.4580660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/connection.py
2025-08-26T19:45:31.4582020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/context.py
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2025-08-26T19:45:31.4600900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/warnings.py
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2025-08-26T19:45:31.4642680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/code.py
2025-08-26T19:45:31.4644050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/operator.py
2025-08-26T19:45:31.4645370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/fileinput.py
2025-08-26T19:45:31.4646550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/os.py
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2025-08-26T19:45:31.4651710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/selectors.py
2025-08-26T19:45:31.4652890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/decimal.py
2025-08-26T19:45:31.4654140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/socketserver.py
2025-08-26T19:45:31.4655400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/copy.py
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2025-08-26T19:45:31.4664390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/html/entities.py
2025-08-26T19:45:31.4665730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/genericpath.py
2025-08-26T19:45:31.4667130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/linecache.py
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2025-08-26T19:45:31.4669840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/tkinter/scrolledtext.py
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2025-08-26T19:45:31.4676750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/tkinter/constants.py
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2025-08-26T19:45:31.4955390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/xml/parsers/expat.py
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2025-08-26T19:45:31.5023400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pdb.py
2025-08-26T19:45:31.5024770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/threading.py
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2025-08-26T19:45:31.5029690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/glob.py
2025-08-26T19:45:31.5030900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/quopri.py
2025-08-26T19:45:31.5032200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/symtable.py
2025-08-26T19:45:31.5033410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pprint.py
2025-08-26T19:45:31.5034640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/calendar.py
2025-08-26T19:45:31.5036120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/inspect.py
2025-08-26T19:45:31.5037390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/wsgiref/util.py
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2025-08-26T19:45:31.5350920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/LICENSE.txt
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2025-08-26T19:45:31.6032280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/CST6CDT
2025-08-26T19:45:31.6033200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Poland
2025-08-26T19:45:31.6033980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Alaska
2025-08-26T19:45:31.6034860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Pacific
2025-08-26T19:45:31.6035820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Eastern
2025-08-26T19:45:31.6036800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Michigan
2025-08-26T19:45:31.6037570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Arizona
2025-08-26T19:45:31.6038530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Indiana-Starke
2025-08-26T19:45:31.6039560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Aleutian
2025-08-26T19:45:31.6040280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Hawaii
2025-08-26T19:45:31.6041390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/East-Indiana
2025-08-26T19:45:31.6042130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Central
2025-08-26T19:45:31.6043150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Mountain
2025-08-26T19:45:31.6043900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Samoa
2025-08-26T19:45:31.6044980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Kwajalein
2025-08-26T19:45:31.6046200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/leapseconds
2025-08-26T19:45:31.6047440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Brazil/DeNoronha
2025-08-26T19:45:31.6048580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Brazil/Acre
2025-08-26T19:45:31.6049750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Brazil/East
2025-08-26T19:45:31.6050880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Brazil/West
2025-08-26T19:45:31.6052060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Port_Moresby
2025-08-26T19:45:31.6053240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Chuuk
2025-08-26T19:45:31.6054260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Easter
2025-08-26T19:45:31.6055410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Kwajalein
2025-08-26T19:45:31.6056560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Tongatapu
2025-08-26T19:45:31.6057590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Yap
2025-08-26T19:45:31.6058740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Wallis
2025-08-26T19:45:31.6059990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Apia
2025-08-26T19:45:31.6061180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Norfolk
2025-08-26T19:45:31.6062340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Efate
2025-08-26T19:45:31.6063460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Fiji
2025-08-26T19:45:31.6064770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Funafuti
2025-08-26T19:45:31.6066100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Palau
2025-08-26T19:45:31.6067190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Guam
2025-08-26T19:45:31.6068440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Saipan
2025-08-26T19:45:31.6069640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Kosrae
2025-08-26T19:45:31.6070680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Niue
2025-08-26T19:45:31.6072010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Ponape
2025-08-26T19:45:31.6073290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Wake
2025-08-26T19:45:31.6074540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Galapagos
2025-08-26T19:45:31.6075810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Johnston
2025-08-26T19:45:31.6077010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Midway
2025-08-26T19:45:31.6078450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Nauru
2025-08-26T19:45:31.6079720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Guadalcanal
2025-08-26T19:45:31.6080980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Chatham
2025-08-26T19:45:31.6082250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Auckland
2025-08-26T19:45:31.6083390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Noumea
2025-08-26T19:45:31.6084610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Fakaofo
2025-08-26T19:45:31.6085600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Tahiti
2025-08-26T19:45:31.6086870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Gambier
2025-08-26T19:45:31.6088130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Majuro
2025-08-26T19:45:31.6089310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Honolulu
2025-08-26T19:45:31.6090570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Pohnpei
2025-08-26T19:45:31.6091750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Pago_Pago
2025-08-26T19:45:31.6093170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Truk
2025-08-26T19:45:31.6094140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Pitcairn
2025-08-26T19:45:31.6095490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Marquesas
2025-08-26T19:45:31.6096610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Kanton
2025-08-26T19:45:31.6097900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Bougainville
2025-08-26T19:45:31.6099010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Tarawa
2025-08-26T19:45:31.6100190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Rarotonga
2025-08-26T19:45:31.6101280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Samoa
2025-08-26T19:45:31.6102590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Kiritimati
2025-08-26T19:45:31.6103680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Enderbury
2025-08-26T19:45:31.6104860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/zone1970.tab
2025-08-26T19:45:31.6105840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/MST
2025-08-26T19:45:31.6106970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/NZ
2025-08-26T19:45:31.6108160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Arctic/Longyearbyen
2025-08-26T19:45:31.6109160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Universal
2025-08-26T19:45:31.6110310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Libya
2025-08-26T19:45:31.6111480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Turkey
2025-08-26T19:45:31.6112670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/iso3166.tab
2025-08-26T19:45:31.6113700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/EST5EDT
2025-08-26T19:45:31.6114750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Greenwich
2025-08-26T19:45:31.6116110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Puerto_Rico
2025-08-26T19:45:31.6117390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Recife
2025-08-26T19:45:31.6118690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Resolute
2025-08-26T19:45:31.6119870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Manaus
2025-08-26T19:45:31.6121330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/New_York
2025-08-26T19:45:31.6122610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rankin_Inlet
2025-08-26T19:45:31.6123760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Lima
2025-08-26T19:45:31.6125030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Barthelemy
2025-08-26T19:45:31.6126260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Santo_Domingo
2025-08-26T19:45:31.6127370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Detroit
2025-08-26T19:45:31.6128800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Paramaribo
2025-08-26T19:45:31.6130050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Yakutat
2025-08-26T19:45:31.6131140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Santarem
2025-08-26T19:45:31.6132420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Punta_Arenas
2025-08-26T19:45:31.6133580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Scoresbysund
2025-08-26T19:45:31.6134770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Santiago
2025-08-26T19:45:31.6135840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guyana
2025-08-26T19:45:31.6137120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Coral_Harbour
2025-08-26T19:45:31.6138420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rio_Branco
2025-08-26T19:45:31.6139600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Porto_Acre
2025-08-26T19:45:31.6140930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Ciudad_Juarez
2025-08-26T19:45:31.6142170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nipigon
2025-08-26T19:45:31.6143430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Edmonton
2025-08-26T19:45:31.6144830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Port_of_Spain
2025-08-26T19:45:31.6146290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Lower_Princes
2025-08-26T19:45:31.6147490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Thomas
2025-08-26T19:45:31.6148800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guatemala
2025-08-26T19:45:31.6150060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Catamarca
2025-08-26T19:45:31.6151460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Antigua
2025-08-26T19:45:31.6152710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Porto_Velho
2025-08-26T19:45:31.6153900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rosario
2025-08-26T19:45:31.6155080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Chicago
2025-08-26T19:45:31.6156270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Creston
2025-08-26T19:45:31.6157470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Managua
2025-08-26T19:45:31.6158650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nassau
2025-08-26T19:45:31.6159960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Bogota
2025-08-26T19:45:31.6161160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cancun
2025-08-26T19:45:31.6162400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Chihuahua
2025-08-26T19:45:31.6163680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Campo_Grande
2025-08-26T19:45:31.6164840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Halifax
2025-08-26T19:45:31.6166150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Boise
2025-08-26T19:45:31.6167390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Montreal
2025-08-26T19:45:31.6168630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Goose_Bay
2025-08-26T19:45:31.6169850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Sao_Paulo
2025-08-26T19:45:31.6171090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Blanc-Sablon
2025-08-26T19:45:31.6172290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Phoenix
2025-08-26T19:45:31.6173440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Atikokan
2025-08-26T19:45:31.6174660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cayenne
2025-08-26T19:45:31.6175760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nuuk
2025-08-26T19:45:31.6177030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Santa_Isabel
2025-08-26T19:45:31.6178150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Boa_Vista
2025-08-26T19:45:31.6179420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Bahia_Banderas
2025-08-26T19:45:31.6180700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Vevay
2025-08-26T19:45:31.6182000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Indianapolis
2025-08-26T19:45:31.6183380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Winamac
2025-08-26T19:45:31.6184680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Tell_City
2025-08-26T19:45:31.6186280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Petersburg
2025-08-26T19:45:31.6187270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Vincennes
2025-08-26T19:45:31.6188510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Knox
2025-08-26T19:45:31.6189770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Marengo
2025-08-26T19:45:31.6191020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indianapolis
2025-08-26T19:45:31.6192190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Dominica
2025-08-26T19:45:31.6193440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Salta
2025-08-26T19:45:31.6194810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Ushuaia
2025-08-26T19:45:31.6196120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Catamarca
2025-08-26T19:45:31.6197600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/ComodRivadavia
2025-08-26T19:45:31.6198860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/San_Juan
2025-08-26T19:45:31.6200210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/San_Luis
2025-08-26T19:45:31.6201680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Rio_Gallegos
2025-08-26T19:45:31.6202990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Jujuy
2025-08-26T19:45:31.6204260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Tucuman
2025-08-26T19:45:31.6205680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Buenos_Aires
2025-08-26T19:45:31.6207120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Cordoba
2025-08-26T19:45:31.6208380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/La_Rioja
2025-08-26T19:45:31.6209700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Mendoza
2025-08-26T19:45:31.6210830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/La_Paz
2025-08-26T19:45:31.6212000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Dawson
2025-08-26T19:45:31.6213110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Moncton
2025-08-26T19:45:31.6214160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Matamoros
2025-08-26T19:45:31.6215030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Vincent
2025-08-26T19:45:31.6216040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Regina
2025-08-26T19:45:31.6216940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Yellowknife
2025-08-26T19:45:31.6218030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rainy_River
2025-08-26T19:45:31.6218890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Kralendijk
2025-08-26T19:45:31.6219980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Monterrey
2025-08-26T19:45:31.6221160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Jamaica
2025-08-26T19:45:31.6222450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Havana
2025-08-26T19:45:31.6223490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Tegucigalpa
2025-08-26T19:45:31.6224870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guayaquil
2025-08-26T19:45:31.6226200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Metlakatla
2025-08-26T19:45:31.6227380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Mazatlan
2025-08-26T19:45:31.6228490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Belize
2025-08-26T19:45:31.6229630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Knox_IN
2025-08-26T19:45:31.6230850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cuiaba
2025-08-26T19:45:31.6232100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Merida
2025-08-26T19:45:31.6233220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Jujuy
2025-08-26T19:45:31.6234530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cayman
2025-08-26T19:45:31.6235700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Belem
2025-08-26T19:45:31.6236860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Eirunepe
2025-08-26T19:45:31.6238010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Lucia
2025-08-26T19:45:31.6239240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Bahia
2025-08-26T19:45:31.6240430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Whitehorse
2025-08-26T19:45:31.6241590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Tortola
2025-08-26T19:45:31.6242890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Vancouver
2025-08-26T19:45:31.6244080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Inuvik
2025-08-26T19:45:31.6245570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Port-au-Prince
2025-08-26T19:45:31.6246730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Fortaleza
2025-08-26T19:45:31.6247870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Noronha
2025-08-26T19:45:31.6249220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Buenos_Aires
2025-08-26T19:45:31.6250540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Los_Angeles
2025-08-26T19:45:31.6251780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/El_Salvador
2025-08-26T19:45:31.6252940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Denver
2025-08-26T19:45:31.6254090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Fort_Wayne
2025-08-26T19:45:31.6255420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Kentucky/Louisville
2025-08-26T19:45:31.6256810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Kentucky/Monticello
2025-08-26T19:45:31.6258440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/North_Dakota/New_Salem
2025-08-26T19:45:31.6259470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/North_Dakota/Center
2025-08-26T19:45:31.6260900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/North_Dakota/Beulah
2025-08-26T19:45:31.6262240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Glace_Bay
2025-08-26T19:45:31.6263350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Montserrat
2025-08-26T19:45:31.6264500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Toronto
2025-08-26T19:45:31.6265650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Panama
2025-08-26T19:45:31.6266830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cordoba
2025-08-26T19:45:31.6268010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Louisville
2025-08-26T19:45:31.6269290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Ensenada
2025-08-26T19:45:31.6270530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Shiprock
2025-08-26T19:45:31.6271750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Ojinaga
2025-08-26T19:45:31.6272960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Thule
2025-08-26T19:45:31.6274110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Caracas
2025-08-26T19:45:31.6275500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Araguaina
2025-08-26T19:45:31.6276840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cambridge_Bay
2025-08-26T19:45:31.6277990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Winnipeg
2025-08-26T19:45:31.6279160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Grand_Turk
2025-08-26T19:45:31.6280460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Virgin
2025-08-26T19:45:31.6281740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Anchorage
2025-08-26T19:45:31.6283030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Costa_Rica
2025-08-26T19:45:31.6284250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nome
2025-08-26T19:45:31.6285460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Grenada
2025-08-26T19:45:31.6286730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Johns
2025-08-26T19:45:31.6287950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Atka
2025-08-26T19:45:31.6289220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Asuncion
2025-08-26T19:45:31.6290310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Hermosillo
2025-08-26T19:45:31.6291390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Tijuana
2025-08-26T19:45:31.6292570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Marigot
2025-08-26T19:45:31.6293780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Juneau
2025-08-26T19:45:31.6295220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Montevideo
2025-08-26T19:45:31.6296450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Godthab
2025-08-26T19:45:31.6297660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guadeloupe
2025-08-26T19:45:31.6299030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Maceio
2025-08-26T19:45:31.6300390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Pangnirtung
2025-08-26T19:45:31.6301630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Kitts
2025-08-26T19:45:31.6302940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Barbados
2025-08-26T19:45:31.6304000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Iqaluit
2025-08-26T19:45:31.6305170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Menominee
2025-08-26T19:45:31.6306400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Martinique
2025-08-26T19:45:31.6307610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Mexico_City
2025-08-26T19:45:31.6308970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Swift_Current
2025-08-26T19:45:31.6310270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Miquelon
2025-08-26T19:45:31.6311530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Curacao
2025-08-26T19:45:31.6312870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Dawson_Creek
2025-08-26T19:45:31.6314070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Mendoza
2025-08-26T19:45:31.6315180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Adak
2025-08-26T19:45:31.6316370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Coyhaique
2025-08-26T19:45:31.6317540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Thunder_Bay
2025-08-26T19:45:31.6318740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Aruba
2025-08-26T19:45:31.6319970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Fort_Nelson
2025-08-26T19:45:31.6321010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Sitka
2025-08-26T19:45:31.6322280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Anguilla
2025-08-26T19:45:31.6323610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Danmarkshavn
2025-08-26T19:45:31.6324850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Melbourne
2025-08-26T19:45:31.6326130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Queensland
2025-08-26T19:45:31.6327300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/North
2025-08-26T19:45:31.6328530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Lord_Howe
2025-08-26T19:45:31.6329680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Adelaide
2025-08-26T19:45:31.6330970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Yancowinna
2025-08-26T19:45:31.6332350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Victoria
2025-08-26T19:45:31.6333350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Canberra
2025-08-26T19:45:31.6334560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Sydney
2025-08-26T19:45:31.6335870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/ACT
2025-08-26T19:45:31.6337120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Eucla
2025-08-26T19:45:31.6338470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Brisbane
2025-08-26T19:45:31.6339640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Tasmania
2025-08-26T19:45:31.6340970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Hobart
2025-08-26T19:45:31.6342090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Perth
2025-08-26T19:45:31.6343270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/South
2025-08-26T19:45:31.6344580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Lindeman
2025-08-26T19:45:31.6345960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Darwin
2025-08-26T19:45:31.6347090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/West
2025-08-26T19:45:31.6348340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/LHI
2025-08-26T19:45:31.6349530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/NSW
2025-08-26T19:45:31.6350880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Broken_Hill
2025-08-26T19:45:31.6352040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Currie
2025-08-26T19:45:31.6353140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-10
2025-08-26T19:45:31.6354370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+12
2025-08-26T19:45:31.6355250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-11
2025-08-26T19:45:31.6356390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/Universal
2025-08-26T19:45:31.6357560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/Greenwich
2025-08-26T19:45:31.6358650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-6
2025-08-26T19:45:31.6359720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-1
2025-08-26T19:45:31.6360880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-8
2025-08-26T19:45:31.6362090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+4
2025-08-26T19:45:31.6363220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+3
2025-08-26T19:45:31.6364390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-9
2025-08-26T19:45:31.6365420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-0
2025-08-26T19:45:31.6366650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-7
2025-08-26T19:45:31.6367950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+2
2025-08-26T19:45:31.6368940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+5
2025-08-26T19:45:31.6370010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT
2025-08-26T19:45:31.6371060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/Zulu
2025-08-26T19:45:31.6372270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+11
2025-08-26T19:45:31.6373440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-13
2025-08-26T19:45:31.6374540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-14
2025-08-26T19:45:31.6375650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+10
2025-08-26T19:45:31.6376780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-12
2025-08-26T19:45:31.6378020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT0
2025-08-26T19:45:31.6379010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/UCT
2025-08-26T19:45:31.6380000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+0
2025-08-26T19:45:31.6381200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+7
2025-08-26T19:45:31.6382380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+9
2025-08-26T19:45:31.6383450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-2
2025-08-26T19:45:31.6384600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-5
2025-08-26T19:45:31.6385820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+8
2025-08-26T19:45:31.6386880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+6
2025-08-26T19:45:31.6387970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+1
2025-08-26T19:45:31.6389060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/UTC
2025-08-26T19:45:31.6390180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-4
2025-08-26T19:45:31.6391350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-3
2025-08-26T19:45:31.6392360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/zonenow.tab
2025-08-26T19:45:31.6393480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/NZ-CHAT
2025-08-26T19:45:31.6394740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dushanbe
2025-08-26T19:45:31.6395890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Qostanay
2025-08-26T19:45:31.6397240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Calcutta
2025-08-26T19:45:31.6398270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Urumqi
2025-08-26T19:45:31.6399450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Karachi
2025-08-26T19:45:31.6400590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Khandyga
2025-08-26T19:45:31.6401960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Thimbu
2025-08-26T19:45:31.6403080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Thimphu
2025-08-26T19:45:31.6404270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Vladivostok
2025-08-26T19:45:31.6405390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Vientiane
2025-08-26T19:45:31.6406510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Shanghai
2025-08-26T19:45:31.6407810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ulan_Bator
2025-08-26T19:45:31.6408910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Aden
2025-08-26T19:45:31.6410120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Muscat
2025-08-26T19:45:31.6411310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Damascus
2025-08-26T19:45:31.6412680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Jerusalem
2025-08-26T19:45:31.6413760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Brunei
2025-08-26T19:45:31.6414610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ulaanbaatar
2025-08-26T19:45:31.6415490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Amman
2025-08-26T19:45:31.6416580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kuching
2025-08-26T19:45:31.6417330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tel_Aviv
2025-08-26T19:45:31.6418340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Seoul
2025-08-26T19:45:31.6419100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Atyrau
2025-08-26T19:45:31.6420180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Pyongyang
2025-08-26T19:45:31.6420910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Hovd
2025-08-26T19:45:31.6421930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Hebron
2025-08-26T19:45:31.6422750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kuwait
2025-08-26T19:45:31.6423720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tomsk
2025-08-26T19:45:31.6424670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Manila
2025-08-26T19:45:31.6425700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Chita
2025-08-26T19:45:31.6426920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Katmandu
2025-08-26T19:45:31.6427990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Gaza
2025-08-26T19:45:31.6429200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Samarkand
2025-08-26T19:45:31.6430600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Taipei
2025-08-26T19:45:31.6431810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tashkent
2025-08-26T19:45:31.6433200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yekaterinburg
2025-08-26T19:45:31.6434300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Macau
2025-08-26T19:45:31.6435430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Qyzylorda
2025-08-26T19:45:31.6436590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Macao
2025-08-26T19:45:31.6437780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tokyo
2025-08-26T19:45:31.6439040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Baku
2025-08-26T19:45:31.6440150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Barnaul
2025-08-26T19:45:31.6441470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Istanbul
2025-08-26T19:45:31.6442630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Irkutsk
2025-08-26T19:45:31.6443830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Qatar
2025-08-26T19:45:31.6444910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Bahrain
2025-08-26T19:45:31.6446010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yangon
2025-08-26T19:45:31.6447230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yerevan
2025-08-26T19:45:31.6448300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Almaty
2025-08-26T19:45:31.6449490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dili
2025-08-26T19:45:31.6450630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dacca
2025-08-26T19:45:31.6451910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Chongqing
2025-08-26T19:45:31.6453160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ust-Nera
2025-08-26T19:45:31.6454430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Magadan
2025-08-26T19:45:31.6455550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Colombo
2025-08-26T19:45:31.6456790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Krasnoyarsk
2025-08-26T19:45:31.6458020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kamchatka
2025-08-26T19:45:31.6459260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ujung_Pandang
2025-08-26T19:45:31.6460360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Jakarta
2025-08-26T19:45:31.6461600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kolkata
2025-08-26T19:45:31.6462680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kabul
2025-08-26T19:45:31.6463770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Oral
2025-08-26T19:45:31.6465070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Jayapura
2025-08-26T19:45:31.6466190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Pontianak
2025-08-26T19:45:31.6467480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Makassar
2025-08-26T19:45:31.6468680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tbilisi
2025-08-26T19:45:31.6469830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Singapore
2025-08-26T19:45:31.6470970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Harbin
2025-08-26T19:45:31.6472290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kashgar
2025-08-26T19:45:31.6473430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dhaka
2025-08-26T19:45:31.6474500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yakutsk
2025-08-26T19:45:31.6475780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kuala_Lumpur
2025-08-26T19:45:31.6476900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tehran
2025-08-26T19:45:31.6478090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Beirut
2025-08-26T19:45:31.6479280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Aqtobe
2025-08-26T19:45:31.6480350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Anadyr
2025-08-26T19:45:31.6481620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Bishkek
2025-08-26T19:45:31.6482830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dubai
2025-08-26T19:45:31.6483850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Riyadh
2025-08-26T19:45:31.6485090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Novokuznetsk
2025-08-26T19:45:31.6486330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Aqtau
2025-08-26T19:45:31.6487500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Omsk
2025-08-26T19:45:31.6488670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ashkhabad
2025-08-26T19:45:31.6489710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Saigon
2025-08-26T19:45:31.6490850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Sakhalin
2025-08-26T19:45:31.6492090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Hong_Kong
2025-08-26T19:45:31.6493380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Phnom_Penh
2025-08-26T19:45:31.6494500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Nicosia
2025-08-26T19:45:31.6495630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Baghdad
2025-08-26T19:45:31.6496970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Srednekolymsk
2025-08-26T19:45:31.6498150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ashgabat
2025-08-26T19:45:31.6499420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kathmandu
2025-08-26T19:45:31.6500570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Choibalsan
2025-08-26T19:45:31.6501820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Bangkok
2025-08-26T19:45:31.6502960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Chungking
2025-08-26T19:45:31.6504100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Novosibirsk
2025-08-26T19:45:31.6505310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Famagusta
2025-08-26T19:45:31.6506500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Rangoon
2025-08-26T19:45:31.6507700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ho_Chi_Minh
2025-08-26T19:45:31.6508630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/MET
2025-08-26T19:45:31.6509680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Portugal
2025-08-26T19:45:31.6510960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Palmer
2025-08-26T19:45:31.6512240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Davis
2025-08-26T19:45:31.6513550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Rothera
2025-08-26T19:45:31.6514780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Vostok
2025-08-26T19:45:31.6516270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Syowa
2025-08-26T19:45:31.6517640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/DumontDUrville
2025-08-26T19:45:31.6518770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/McMurdo
2025-08-26T19:45:31.6520270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Macquarie
2025-08-26T19:45:31.6521150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/South_Pole
2025-08-26T19:45:31.6522390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Troll
2025-08-26T19:45:31.6527370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Mawson
2025-08-26T19:45:31.6527730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Casey
2025-08-26T19:45:31.6527980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GMT-0
2025-08-26T19:45:31.6528310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/CET
2025-08-26T19:45:31.6528650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Eire
2025-08-26T19:45:31.6528850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/PST8PDT
2025-08-26T19:45:31.6529880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/leap-seconds.list
2025-08-26T19:45:31.6531200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Jamaica
2025-08-26T19:45:31.6532140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GMT
2025-08-26T19:45:31.6533120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Zulu
2025-08-26T19:45:31.6534330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Japan
2025-08-26T19:45:31.6535380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/ROC
2025-08-26T19:45:31.6536760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GB-Eire
2025-08-26T19:45:31.6537990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Zurich
2025-08-26T19:45:31.6539230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Paris
2025-08-26T19:45:31.6540580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Moscow
2025-08-26T19:45:31.6542120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Luxembourg
2025-08-26T19:45:31.6543320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Ljubljana
2025-08-26T19:45:31.6544670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Helsinki
2025-08-26T19:45:31.6545860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Minsk
2025-08-26T19:45:31.6547050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Skopje
2025-08-26T19:45:31.6548270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Dublin
2025-08-26T19:45:31.6549610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Jersey
2025-08-26T19:45:31.6550980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/San_Marino
2025-08-26T19:45:31.6552060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Gibraltar
2025-08-26T19:45:31.6553300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Belgrade
2025-08-26T19:45:31.6554510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Guernsey
2025-08-26T19:45:31.6555810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Ulyanovsk
2025-08-26T19:45:31.6557150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Saratov
2025-08-26T19:45:31.6558530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vaduz
2025-08-26T19:45:31.6559840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Istanbul
2025-08-26T19:45:31.6561310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Lisbon
2025-08-26T19:45:31.6562490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Uzhgorod
2025-08-26T19:45:31.6563660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kirov
2025-08-26T19:45:31.6564810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Tirane
2025-08-26T19:45:31.6566010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Tiraspol
2025-08-26T19:45:31.6567140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Sarajevo
2025-08-26T19:45:31.6568220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Madrid
2025-08-26T19:45:31.6569520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Podgorica
2025-08-26T19:45:31.6570670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Busingen
2025-08-26T19:45:31.6571940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vatican
2025-08-26T19:45:31.6573000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Belfast
2025-08-26T19:45:31.6574290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Bratislava
2025-08-26T19:45:31.6575390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kiev
2025-08-26T19:45:31.6576690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kaliningrad
2025-08-26T19:45:31.6577840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Zaporozhye
2025-08-26T19:45:31.6578840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vienna
2025-08-26T19:45:31.6579990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Budapest
2025-08-26T19:45:31.6581150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vilnius
2025-08-26T19:45:31.6582290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Monaco
2025-08-26T19:45:31.6583380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Oslo
2025-08-26T19:45:31.6584560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Astrakhan
2025-08-26T19:45:31.6585930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Simferopol
2025-08-26T19:45:31.6587120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Volgograd
2025-08-26T19:45:31.6588260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kyiv
2025-08-26T19:45:31.6589550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Isle_of_Man
2025-08-26T19:45:31.6590870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/London
2025-08-26T19:45:31.6592080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Riga
2025-08-26T19:45:31.6593190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Andorra
2025-08-26T19:45:31.6594520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Prague
2025-08-26T19:45:31.6595600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Berlin
2025-08-26T19:45:31.6596830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Tallinn
2025-08-26T19:45:31.6598020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Rome
2025-08-26T19:45:31.6599160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Malta
2025-08-26T19:45:31.6600280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Zagreb
2025-08-26T19:45:31.6601570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Amsterdam
2025-08-26T19:45:31.6602640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Nicosia
2025-08-26T19:45:31.6603960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Bucharest
2025-08-26T19:45:31.6605330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Copenhagen
2025-08-26T19:45:31.6606560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Chisinau
2025-08-26T19:45:31.6607920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Mariehamn
2025-08-26T19:45:31.6609020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Sofia
2025-08-26T19:45:31.6610270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Athens
2025-08-26T19:45:31.6611350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Stockholm
2025-08-26T19:45:31.6612460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Samara
2025-08-26T19:45:31.6613680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Brussels
2025-08-26T19:45:31.6614610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Warsaw
2025-08-26T19:45:31.6615410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/ROK
2025-08-26T19:45:31.6616310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Navajo
2025-08-26T19:45:31.6617220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Singapore
2025-08-26T19:45:31.6618130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GB
2025-08-26T19:45:31.6618970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Mexico/BajaNorte
2025-08-26T19:45:31.6620010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Mexico/General
2025-08-26T19:45:31.6620840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Mexico/BajaSur
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2025-08-26T19:45:31.7537810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/conda-25.7.0-py313hca03da5_0/lib/python3.13/site-packages/conda/gateways/connection/adapters/ftp.py
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2025-08-26T19:45:31.7549840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/conda-25.7.0-py313hca03da5_0/lib/python3.13/site-packages/conda/gateways/repodata/jlap/__pycache__/interface.cpython-313.pyc
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2025-08-26T19:45:31.7620110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/conda-25.7.0-py313hca03da5_0/lib/python3.13/site-packages/conda/auxlib/ish.py
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2025-08-26T19:45:31.7673460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/conda-25.7.0-py313hca03da5_0/lib/python3.13/site-packages/conda/_vendor.py
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2025-08-26T19:45:31.8319970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_internal/vcs/subversion.py
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2025-08-26T19:45:31.8330480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_internal/index/package_finder.py
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2025-08-26T19:45:31.8345520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_internal/commands/inspect.py
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2025-08-26T19:45:31.8347650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_internal/commands/uninstall.py
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2025-08-26T19:45:31.8349720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_internal/commands/freeze.py
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2025-08-26T19:45:31.8352920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_internal/commands/help.py
2025-08-26T19:45:31.8353960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_internal/commands/wheel.py
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2025-08-26T19:45:31.8569260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/color.py
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2025-08-26T19:45:31.8570330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_fileno.py
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2025-08-26T19:45:31.8573000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_wrap.py
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2025-08-26T19:45:31.8576990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/containers.py
2025-08-26T19:45:31.8578080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_emoji_replace.py
2025-08-26T19:45:31.8579320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/traceback.py
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2025-08-26T19:45:31.8584170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/filesize.py
2025-08-26T19:45:31.8585370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_null_file.py
2025-08-26T19:45:31.8586410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_palettes.py
2025-08-26T19:45:31.8587410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/__init__.py
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2025-08-26T19:45:31.8589450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/file_proxy.py
2025-08-26T19:45:31.8590470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/palette.py
2025-08-26T19:45:31.8591520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/markup.py
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2025-08-26T19:45:31.8594550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/constrain.py
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2025-08-26T19:45:31.8596550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/diagnose.py
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2025-08-26T19:45:31.8600680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/pager.py
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2025-08-26T19:45:31.8603780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_spinners.py
2025-08-26T19:45:31.8605270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/terminal_theme.py
2025-08-26T19:45:31.8606080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/bar.py
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2025-08-26T19:45:31.8612510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/progress_bar.py
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2025-08-26T19:45:31.8622650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_cell_widths.py
2025-08-26T19:45:31.8623860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/cells.py
2025-08-26T19:45:31.8625330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_win32_console.py
2025-08-26T19:45:31.8626680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/panel.py
2025-08-26T19:45:31.8628010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/styled.py
2025-08-26T19:45:31.8629230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/spinner.py
2025-08-26T19:45:31.8630650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_windows_renderer.py
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2025-08-26T19:45:31.8642710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/color_triplet.py
2025-08-26T19:45:31.8644160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/tomli_w/_writer.py
2025-08-26T19:45:31.8645530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/tomli_w/__init__.py
2025-08-26T19:45:31.8646940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/tomli_w/py.typed
2025-08-26T19:45:31.8648330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/filepost.py
2025-08-26T19:45:31.8649640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/fields.py
2025-08-26T19:45:31.8651110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/util/queue.py
2025-08-26T19:45:31.8652410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/util/ssltransport.py
2025-08-26T19:45:31.8654170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/util/proxy.py
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2025-08-26T19:45:31.8656450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/util/request.py
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2025-08-26T19:45:31.8659320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/util/__init__.py
2025-08-26T19:45:31.8660790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/util/response.py
2025-08-26T19:45:31.8662100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/util/ssl_.py
2025-08-26T19:45:31.8663470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/util/retry.py
2025-08-26T19:45:31.8664810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/util/url.py
2025-08-26T19:45:31.8666190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/util/connection.py
2025-08-26T19:45:31.8667760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/util/ssl_match_hostname.py
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2025-08-26T19:45:31.8670460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/request.py
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2025-08-26T19:45:31.8673200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/poolmanager.py
2025-08-26T19:45:31.8674510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/response.py
2025-08-26T19:45:31.8676160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/contrib/securetransport.py
2025-08-26T19:45:31.8677630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/contrib/__init__.py
2025-08-26T19:45:31.8678980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/contrib/socks.py
2025-08-26T19:45:31.8680700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/contrib/_appengine_environ.py
2025-08-26T19:45:31.8682160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/contrib/pyopenssl.py
2025-08-26T19:45:31.8683640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/contrib/appengine.py
2025-08-26T19:45:31.8685320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/contrib/_securetransport/__init__.py
2025-08-26T19:45:31.8686790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/contrib/_securetransport/low_level.py
2025-08-26T19:45:31.8688480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/contrib/_securetransport/bindings.py
2025-08-26T19:45:31.8689710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/contrib/ntlmpool.py
2025-08-26T19:45:31.8691020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/connection.py
2025-08-26T19:45:31.8692380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/_collections.py
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2025-08-26T19:45:31.8695670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/packages/backports/__init__.py
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2025-08-26T19:45:31.8837530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/sortkey.h
2025-08-26T19:45:31.8838780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/simplenumberformatter.h
2025-08-26T19:45:31.8839770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/docmain.h
2025-08-26T19:45:31.8840870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uniset.h
2025-08-26T19:45:31.8842030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/basictz.h
2025-08-26T19:45:31.8843040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udata.h
2025-08-26T19:45:31.8844200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/stringtriebuilder.h
2025-08-26T19:45:31.8845320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/chariter.h
2025-08-26T19:45:31.8846390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/umisc.h
2025-08-26T19:45:31.8847480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/reldatefmt.h
2025-08-26T19:45:31.8848580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uloc.h
2025-08-26T19:45:31.8849890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/plurrule.h
2025-08-26T19:45:31.8851010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uformattednumber.h
2025-08-26T19:45:31.8852300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/bytestriebuilder.h
2025-08-26T19:45:31.8853230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/measunit.h
2025-08-26T19:45:31.8854190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utrace.h
2025-08-26T19:45:31.8855250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/locdspnm.h
2025-08-26T19:45:31.8856440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/gregocal.h
2025-08-26T19:45:31.8857540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uchriter.h
2025-08-26T19:45:31.8858540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/enumset.h
2025-08-26T19:45:31.8859550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/nounit.h
2025-08-26T19:45:31.8860750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utf.h
2025-08-26T19:45:31.8861650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/measure.h
2025-08-26T19:45:31.8862650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tzrule.h
2025-08-26T19:45:31.8863720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/strenum.h
2025-08-26T19:45:31.8864900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/regex.h
2025-08-26T19:45:31.8865820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/gender.h
2025-08-26T19:45:31.8866930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dcfmtsym.h
2025-08-26T19:45:31.8868150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucnv_err.h
2025-08-26T19:45:31.8869270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/decimfmt.h
2025-08-26T19:45:31.8870450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/bytestrie.h
2025-08-26T19:45:31.8871390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udatpg.h
2025-08-26T19:45:31.8872560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/listformatter.h
2025-08-26T19:45:31.8873520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uobject.h
2025-08-26T19:45:31.8874620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/calendar.h
2025-08-26T19:45:31.8875730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ures.h
2025-08-26T19:45:31.8876920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/normlzr.h
2025-08-26T19:45:31.8877930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/usprep.h
2025-08-26T19:45:31.8879030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/urename.h
2025-08-26T19:45:31.8880050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/caniter.h
2025-08-26T19:45:31.8881120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucol.h
2025-08-26T19:45:31.8882220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/upluralrules.h
2025-08-26T19:45:31.8883410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucharstrie.h
2025-08-26T19:45:31.8884470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tmunit.h
2025-08-26T19:45:31.8885540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unistr.h
2025-08-26T19:45:31.8886510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/rbbi.h
2025-08-26T19:45:31.8887620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ulocdata.h
2025-08-26T19:45:31.8888580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/idna.h
2025-08-26T19:45:31.8889710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unorm2.h
2025-08-26T19:45:31.8890940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/localebuilder.h
2025-08-26T19:45:31.8892050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dtptngen.h
2025-08-26T19:45:31.8893040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dbbi.h
2025-08-26T19:45:31.8894090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/bytestream.h
2025-08-26T19:45:31.8895160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uversion.h
2025-08-26T19:45:31.8896320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/messagepattern.h
2025-08-26T19:45:31.8897400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uidna.h
2025-08-26T19:45:31.8898420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/filteredbrk.h
2025-08-26T19:45:31.8899500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tmutamt.h
2025-08-26T19:45:31.8900180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/char16ptr.h
2025-08-26T19:45:31.8901080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uformattedvalue.h
2025-08-26T19:45:31.8901980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/symtable.h
2025-08-26T19:45:31.8902750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucasemap.h
2025-08-26T19:45:31.8903610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucoleitr.h
2025-08-26T19:45:31.8904730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/compactdecimalformat.h
2025-08-26T19:45:31.8905410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unum.h
2025-08-26T19:45:31.8906470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udisplaycontext.h
2025-08-26T19:45:31.8907250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tztrans.h
2025-08-26T19:45:31.8908050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/umachine.h
2025-08-26T19:45:31.8908980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/numberformatter.h
2025-08-26T19:45:31.8909830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/datefmt.h
2025-08-26T19:45:31.8910690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utmscale.h
2025-08-26T19:45:31.8911490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/coll.h
2025-08-26T19:45:31.8912590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/currpinf.h
2025-08-26T19:45:31.8913330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uregex.h
2025-08-26T19:45:31.8914200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tmutfmt.h
2025-08-26T19:45:31.8915010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/plurfmt.h
2025-08-26T19:45:31.8915920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ustringtrie.h
2025-08-26T19:45:31.8916760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/smpdtfmt.h
2025-08-26T19:45:31.8917590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucptrie.h
2025-08-26T19:45:31.8918580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udisplayoptions.h
2025-08-26T19:45:31.8919910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/icudataver.h
2025-08-26T19:45:31.8920260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uchar.h
2025-08-26T19:45:31.8921080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unorm.h
2025-08-26T19:45:31.8921920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ushape.h
2025-08-26T19:45:31.8922790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unifunct.h
2025-08-26T19:45:31.8923650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ugender.h
2025-08-26T19:45:31.8924480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/selfmt.h
2025-08-26T19:45:31.8925350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uformattable.h
2025-08-26T19:45:31.8926210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ustream.h
2025-08-26T19:45:31.8927110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/simpleformatter.h
2025-08-26T19:45:31.8928150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucnv_cb.h
2025-08-26T19:45:31.8928830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/curramt.h
2025-08-26T19:45:31.8929630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/locid.h
2025-08-26T19:45:31.8930610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udateintervalformat.h
2025-08-26T19:45:31.8931470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/resbund.h
2025-08-26T19:45:31.8932470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ubidi.h
2025-08-26T19:45:31.8933120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/stsearch.h
2025-08-26T19:45:31.8934030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/alphaindex.h
2025-08-26T19:45:31.8934850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uvernum.h
2025-08-26T19:45:31.8935680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unimatch.h
2025-08-26T19:45:31.8936480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/rbtz.h
2025-08-26T19:45:31.8937490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucnvsel.h
2025-08-26T19:45:31.8938290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uspoof.h
2025-08-26T19:45:31.8939120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/region.h
2025-08-26T19:45:31.8940030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ureldatefmt.h
2025-08-26T19:45:31.8940830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utrans.h
2025-08-26T19:45:31.8941740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/parseerr.h
2025-08-26T19:45:31.8942550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/putil.h
2025-08-26T19:45:31.8943420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/format.h
2025-08-26T19:45:31.8944480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/scientificnumberformatter.h
2025-08-26T19:45:31.8945380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/displayoptions.h
2025-08-26T19:45:31.8946230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/normalizer2.h
2025-08-26T19:45:31.8947060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dtrule.h
2025-08-26T19:45:31.8947960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unumberoptions.h
2025-08-26T19:45:31.8948760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucnv.h
2025-08-26T19:45:31.8949730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucharstriebuilder.h
2025-08-26T19:45:31.8950770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/search.h
2025-08-26T19:45:31.8951430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unumsys.h
2025-08-26T19:45:31.8952260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uconfig.h
2025-08-26T19:45:31.8953150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utf16.h
2025-08-26T19:45:31.8953900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/brkiter.h
2025-08-26T19:45:31.8954880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/formattedvalue.h
2025-08-26T19:45:31.8955820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/platform.h
2025-08-26T19:45:31.8956510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/rep.h
2025-08-26T19:45:31.8957460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/formattednumber.h
2025-08-26T19:45:31.8958320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/std_string.h
2025-08-26T19:45:31.8959120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utf8.h
2025-08-26T19:45:31.8960050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/localpointer.h
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2025-08-26T19:45:31.9108210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/__pycache__/unix.cpython-313.pyc
2025-08-26T19:45:31.9109710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/api.py
2025-08-26T19:45:31.9111260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/android.py
2025-08-26T19:45:31.9112830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/py.typed
2025-08-26T19:45:31.9114410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/windows.py
2025-08-26T19:45:31.9115900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/__main__.py
2025-08-26T19:45:31.9116680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/readline-8.3-h0b18652_0.conda
2025-08-26T19:45:31.9117710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tomli-2.2.1-py313hca03da5_0.conda
2025-08-26T19:45:31.9118730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/misc/tsget
2025-08-26T19:45:31.9119760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/misc/tsget.pl
2025-08-26T19:45:31.9120800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/misc/CA.pl
2025-08-26T19:45:31.9122190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/ct_log_list.cnf
2025-08-26T19:45:31.9123500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/openssl.cnf.dist
2025-08-26T19:45:31.9124590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/openssl.cnf
2025-08-26T19:45:31.9125820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/ct_log_list.cnf.dist
2025-08-26T19:45:31.9126820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/bin/c_rehash
2025-08-26T19:45:31.9127660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/bin/openssl
2025-08-26T19:45:31.9128860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pem2.h
2025-08-26T19:45:31.9130000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/kdf.h
2025-08-26T19:45:31.9131080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pem.h
2025-08-26T19:45:31.9132170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/asyncerr.h
2025-08-26T19:45:31.9133180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/md2.h
2025-08-26T19:45:31.9134320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ssl3.h
2025-08-26T19:45:31.9135530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ossl_typ.h
2025-08-26T19:45:31.9136750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/dtls1.h
2025-08-26T19:45:31.9137770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/err.h
2025-08-26T19:45:31.9138980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/bn.h
2025-08-26T19:45:31.9140050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/blowfish.h
2025-08-26T19:45:31.9141160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cms.h
2025-08-26T19:45:31.9142410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/engine.h
2025-08-26T19:45:31.9143670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/conf_api.h
2025-08-26T19:45:31.9144770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/esserr.h
2025-08-26T19:45:31.9145810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/core.h
2025-08-26T19:45:31.9146970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/x509.h
2025-08-26T19:45:31.9148300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/asn1_mac.h
2025-08-26T19:45:31.9149410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/objectserr.h
2025-08-26T19:45:31.9150520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/params.h
2025-08-26T19:45:31.9151590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cmserr.h
2025-08-26T19:45:31.9152780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/http.h
2025-08-26T19:45:31.9153740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ui.h
2025-08-26T19:45:31.9154970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/sha.h
2025-08-26T19:45:31.9155960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/symhacks.h
2025-08-26T19:45:31.9157050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/asn1.h
2025-08-26T19:45:31.9158210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/bioerr.h
2025-08-26T19:45:31.9159360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/opensslconf.h
2025-08-26T19:45:31.9160460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/bio.h
2025-08-26T19:45:31.9161530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/rc2.h
2025-08-26T19:45:31.9162670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/types.h
2025-08-26T19:45:31.9163690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/dh.h
2025-08-26T19:45:31.9165090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cryptoerr_legacy.h
2025-08-26T19:45:31.9166080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/proverr.h
2025-08-26T19:45:31.9167290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/x509v3.h
2025-08-26T19:45:31.9168640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/core_object.h
2025-08-26T19:45:31.9169850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/decodererr.h
2025-08-26T19:45:31.9171020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/param_build.h
2025-08-26T19:45:31.9172200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/conf.h
2025-08-26T19:45:31.9173530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/conftypes.h
2025-08-26T19:45:31.9174690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/md5.h
2025-08-26T19:45:31.9175920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/decoder.h
2025-08-26T19:45:31.9177270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pemerr.h
2025-08-26T19:45:31.9178390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/crmferr.h
2025-08-26T19:45:31.9179630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/x509_vfy.h
2025-08-26T19:45:31.9180750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/txt_db.h
2025-08-26T19:45:31.9181880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cmp.h
2025-08-26T19:45:31.9183210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/comperr.h
2025-08-26T19:45:31.9184180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cterr.h
2025-08-26T19:45:31.9185530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/self_test.h
2025-08-26T19:45:31.9186680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/safestack.h
2025-08-26T19:45:31.9187870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/configuration.h
2025-08-26T19:45:31.9192990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/fips_names.h
2025-08-26T19:45:31.9193750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ecdsa.h
2025-08-26T19:45:31.9194920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/sslerr.h
2025-08-26T19:45:31.9196090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/prov_ssl.h
2025-08-26T19:45:31.9197290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/fipskey.h
2025-08-26T19:45:31.9198300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/rc5.h
2025-08-26T19:45:31.9199390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/uierr.h
2025-08-26T19:45:31.9200570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/x509v3err.h
2025-08-26T19:45:31.9201900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/objects.h
2025-08-26T19:45:31.9203150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pkcs12.h
2025-08-26T19:45:31.9204220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/crypto.h
2025-08-26T19:45:31.9205420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/crmf.h
2025-08-26T19:45:31.9206690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cmp_util.h
2025-08-26T19:45:31.9207890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/opensslv.h
2025-08-26T19:45:31.9209100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/evperr.h
2025-08-26T19:45:31.9210360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pkcs7.h
2025-08-26T19:45:31.9211580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/obj_mac.h
2025-08-26T19:45:31.9212510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ct.h
2025-08-26T19:45:31.9213670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/async.h
2025-08-26T19:45:31.9214890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/buffer.h
2025-08-26T19:45:31.9216040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ssl.h
2025-08-26T19:45:31.9217140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/srp.h
2025-08-26T19:45:31.9218470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/camellia.h
2025-08-26T19:45:31.9219520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/httperr.h
2025-08-26T19:45:31.9220740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/dherr.h
2025-08-26T19:45:31.9221870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/evp.h
2025-08-26T19:45:31.9223050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/e_os2.h
2025-08-26T19:45:31.9224180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/trace.h
2025-08-26T19:45:31.9225360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/md4.h
2025-08-26T19:45:31.9226610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/core_names.h
2025-08-26T19:45:31.9227640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/hmac.h
2025-08-26T19:45:31.9228770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/provider.h
2025-08-26T19:45:31.9229960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/aes.h
2025-08-26T19:45:31.9231110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/engineerr.h
2025-08-26T19:45:31.9232170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/comp.h
2025-08-26T19:45:31.9233410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/macros.h
2025-08-26T19:45:31.9234600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pkcs12err.h
2025-08-26T19:45:31.9235760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/encoder.h
2025-08-26T19:45:31.9236960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cast.h
2025-08-26T19:45:31.9238210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/sslerr_legacy.h
2025-08-26T19:45:31.9239360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/rc4.h
2025-08-26T19:45:31.9240490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/stack.h
2025-08-26T19:45:31.9241770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/des.h
2025-08-26T19:45:31.9242870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ocsp.h
2025-08-26T19:45:31.9243910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ec.h
2025-08-26T19:45:31.9245090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ecdh.h
2025-08-26T19:45:31.9246260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/rand.h
2025-08-26T19:45:31.9247350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ecerr.h
2025-08-26T19:45:31.9248540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ts.h
2025-08-26T19:45:31.9249780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/core_dispatch.h
2025-08-26T19:45:31.9250930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cryptoerr.h
2025-08-26T19:45:31.9252120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/storeerr.h
2025-08-26T19:45:31.9253290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/buffererr.h
2025-08-26T19:45:31.9254330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/seed.h
2025-08-26T19:45:31.9255400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/modes.h
2025-08-26T19:45:31.9256700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ssl2.h
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2025-08-26T19:45:31.9805810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-rv-unk
2025-08-26T19:45:31.9806930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-videx2
2025-08-26T19:45:31.9808110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/abm85e
2025-08-26T19:45:31.9809310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x30
2025-08-26T19:45:31.9810330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-vm80
2025-08-26T19:45:31.9811600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-rv-nl
2025-08-26T19:45:31.9812680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa+rv
2025-08-26T19:45:31.9813940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alacritty+common
2025-08-26T19:45:31.9815040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-60-rv
2025-08-26T19:45:31.9816100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/a210
2025-08-26T19:45:31.9817140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/abm85
2025-08-26T19:45:31.9818400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610+cvis
2025-08-26T19:45:31.9819720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-videx3
2025-08-26T19:45:31.9820830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alacritty
2025-08-26T19:45:31.9821940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415
2025-08-26T19:45:31.9823030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-s
2025-08-26T19:45:31.9824160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-mono
2025-08-26T19:45:31.9825460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+pp
2025-08-26T19:45:31.9826550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-28
2025-08-26T19:45:31.9827600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+idl
2025-08-26T19:45:31.9828720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-60-s-rv
2025-08-26T19:45:31.9830060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att513
2025-08-26T19:45:31.9831100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4424
2025-08-26T19:45:31.9832210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-rv-ns
2025-08-26T19:45:31.9833340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-26
2025-08-26T19:45:31.9834580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att510d
2025-08-26T19:45:31.9835630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ap-vm80
2025-08-26T19:45:31.9836990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att620-103k-w
2025-08-26T19:45:31.9838010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo_19L
2025-08-26T19:45:31.9839160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w
2025-08-26T19:45:31.9840340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos3
2025-08-26T19:45:31.9841640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansil-mono
2025-08-26T19:45:31.9842730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos4
2025-08-26T19:45:31.9843900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x30-mono
2025-08-26T19:45:31.9845030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+cpr
2025-08-26T19:45:31.9846550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-rv
2025-08-26T19:45:31.9847380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apl
2025-08-26T19:45:31.9848480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-w-rv
2025-08-26T19:45:31.9849540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos-4
2025-08-26T19:45:31.9850730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos-3
2025-08-26T19:45:31.9851860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620
2025-08-26T19:45:31.9852930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari_st
2025-08-26T19:45:31.9853990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aa4080
2025-08-26T19:45:31.9855270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alto-heath
2025-08-26T19:45:31.9856370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt2
2025-08-26T19:45:31.9857340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aj
2025-08-26T19:45:31.9858470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt5
2025-08-26T19:45:31.9859690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x25-raw
2025-08-26T19:45:31.9860620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos5
2025-08-26T19:45:31.9861480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aas1901
2025-08-26T19:45:31.9862300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt
2025-08-26T19:45:31.9863140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/awsc
2025-08-26T19:45:31.9864100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-unk
2025-08-26T19:45:31.9864960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos2
2025-08-26T19:45:31.9865840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple2e
2025-08-26T19:45:31.9866750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4424m
2025-08-26T19:45:31.9867600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+csr
2025-08-26T19:45:31.9868530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-generic
2025-08-26T19:45:31.9869440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/addsviewpoint
2025-08-26T19:45:31.9870330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-60-s
2025-08-26T19:45:31.9871400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo+vt132
2025-08-26T19:45:31.9872170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt4
2025-08-26T19:45:31.9873110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-w
2025-08-26T19:45:31.9874000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-24-rv
2025-08-26T19:45:31.9874780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt3
2025-08-26T19:45:31.9875670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5425
2025-08-26T19:45:31.9876720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att630
2025-08-26T19:45:31.9877520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgr
2025-08-26T19:45:31.9878400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+cup
2025-08-26T19:45:31.9879290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos-2
2025-08-26T19:45:31.9880170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-w
2025-08-26T19:45:31.9881050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-rv
2025-08-26T19:45:31.9882010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-ctxt
2025-08-26T19:45:31.9882880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt+s
2025-08-26T19:45:31.9883750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex175
2025-08-26T19:45:31.9884600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos-5
2025-08-26T19:45:31.9885470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amp219
2025-08-26T19:45:31.9886310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm42
2025-08-26T19:45:31.9887260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att505-24
2025-08-26T19:45:31.9888120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-s-rv
2025-08-26T19:45:31.9888960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm1a
2025-08-26T19:45:31.9889820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att615
2025-08-26T19:45:31.9890710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-emx
2025-08-26T19:45:31.9891680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgrbold
2025-08-26T19:45:31.9892570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgrul
2025-08-26T19:45:31.9893610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm20
2025-08-26T19:45:31.9894890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x60-mono
2025-08-26T19:45:31.9896140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610-103k
2025-08-26T19:45:31.9897150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari
2025-08-26T19:45:31.9898450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari-old
2025-08-26T19:45:31.9899430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansiterm
2025-08-26T19:45:31.9900500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4410v1
2025-08-26T19:45:31.9901650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm11
2025-08-26T19:45:31.9902960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5418-w
2025-08-26T19:45:31.9904090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5430
2025-08-26T19:45:31.9905260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w-rv-ns
2025-08-26T19:45:31.9906540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgrso
2025-08-26T19:45:31.9907540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi
2025-08-26T19:45:31.9908670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att505-22
2025-08-26T19:45:31.9909940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/a80
2025-08-26T19:45:31.9911120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att605-pc
2025-08-26T19:45:31.9912100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm21
2025-08-26T19:45:31.9913280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610-w
2025-08-26T19:45:31.9914410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm42-ns
2025-08-26T19:45:31.9915480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+rca2
2025-08-26T19:45:31.9916550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att500
2025-08-26T19:45:31.9917920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/arm100
2025-08-26T19:45:31.9918890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm5
2025-08-26T19:45:31.9920100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amiga-8bit
2025-08-26T19:45:31.9921150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ambassador
2025-08-26T19:45:31.9922290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm2
2025-08-26T19:45:31.9923470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att2350
2025-08-26T19:45:31.9924840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-color-2-emx
2025-08-26T19:45:31.9925910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansis-mono
2025-08-26T19:45:31.9927110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-color-3-emx
2025-08-26T19:45:31.9928160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620-24
2025-08-26T19:45:31.9929200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altoheath
2025-08-26T19:45:31.9930460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610+cvis0
2025-08-26T19:45:31.9931580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansisysk
2025-08-26T19:45:31.9932650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi43m
2025-08-26T19:45:31.9933790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4418-w
2025-08-26T19:45:31.9934910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420+nl
2025-08-26T19:45:31.9936180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple2e-p
2025-08-26T19:45:31.9937270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo_color
2025-08-26T19:45:31.9940440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730r-41
2025-08-26T19:45:31.9941520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5410v1
2025-08-26T19:45:31.9942580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-mtabs
2025-08-26T19:45:31.9943760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-w-nl
2025-08-26T19:45:31.9944740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm3
2025-08-26T19:45:31.9945910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atarist-m
2025-08-26T19:45:31.9947140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610-103k-w
2025-08-26T19:45:31.9948290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-s-rv
2025-08-26T19:45:31.9949510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgrdim
2025-08-26T19:45:31.9950640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-uterm-vb
2025-08-26T19:45:31.9951790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex80
2025-08-26T19:45:31.9953010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730r-24
2025-08-26T19:45:31.9954140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/arm100-w
2025-08-26T19:45:31.9955400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex219
2025-08-26T19:45:31.9956450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/addrinfo
2025-08-26T19:45:31.9957590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-60
2025-08-26T19:45:31.9958660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x25
2025-08-26T19:45:31.9959850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa+dec
2025-08-26T19:45:31.9961080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex210
2025-08-26T19:45:31.9962360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex219w
2025-08-26T19:45:31.9963510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/arm100-am
2025-08-26T19:45:31.9964600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w-ns
2025-08-26T19:45:31.9965750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-w-rv-n
2025-08-26T19:45:31.9966830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-ae
2025-08-26T19:45:31.9968070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att615-103k-w
2025-08-26T19:45:31.9969200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+erase
2025-08-26T19:45:31.9970550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att510a
2025-08-26T19:45:31.9971530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4426
2025-08-26T19:45:31.9972760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att630-24
2025-08-26T19:45:31.9973840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altoh19
2025-08-26T19:45:31.9974850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa
2025-08-26T19:45:31.9975990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-24
2025-08-26T19:45:31.9977180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-uterm
2025-08-26T19:45:31.9978380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+rep
2025-08-26T19:45:31.9979360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-rv
2025-08-26T19:45:31.9980650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alto-h19
2025-08-26T19:45:31.9981770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-rv-ctxt
2025-08-26T19:45:31.9983100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari_st-color
2025-08-26T19:45:31.9984130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansis
2025-08-26T19:45:31.9985350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/abm80
2025-08-26T19:45:31.9986440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x50
2025-08-26T19:45:31.9987450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att615-w
2025-08-26T19:45:31.9988540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4410
2025-08-26T19:45:31.9989850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aixterm-m-old
2025-08-26T19:45:31.9990950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4425-nl
2025-08-26T19:45:31.9992010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt7pc
2025-08-26T19:45:31.9993170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-48
2025-08-26T19:45:31.9994320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+idc1
2025-08-26T19:45:31.9995580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+tabs
2025-08-26T19:45:31.9996790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/appleII
2025-08-26T19:45:31.9997960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alacritty-direct
2025-08-26T19:45:31.9998980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aj832
2025-08-26T19:45:32.0000100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+local1
2025-08-26T19:45:32.0001230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/abm85h-old
2025-08-26T19:45:32.0002310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aixterm+sl
2025-08-26T19:45:32.0003490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex-219w
2025-08-26T19:45:32.0004740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari-m
2025-08-26T19:45:32.0005940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avatar0+
2025-08-26T19:45:32.0007010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x60
2025-08-26T19:45:32.0008040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4424-1
2025-08-26T19:45:32.0009230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+rca
2025-08-26T19:45:32.0010330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4420
2025-08-26T19:45:32.0011530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4418
2025-08-26T19:45:32.0012560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-22
2025-08-26T19:45:32.0013640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aepro
2025-08-26T19:45:32.0014880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-nl
2025-08-26T19:45:32.0015930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5410v1-w
2025-08-26T19:45:32.0017000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620-34
2025-08-26T19:45:32.0018270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-w-rv-n
2025-08-26T19:45:32.0019350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-48-rv
2025-08-26T19:45:32.0020670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo
2025-08-26T19:45:32.0021750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-mini
2025-08-26T19:45:32.0022940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-40
2025-08-26T19:45:32.0024150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+enq
2025-08-26T19:45:32.0025170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/abm85h
2025-08-26T19:45:32.0026440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/annarbor4080
2025-08-26T19:45:32.0027550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-nt
2025-08-26T19:45:32.0028660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-rv
2025-08-26T19:45:32.0029820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w-rv
2025-08-26T19:45:32.0031030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420
2025-08-26T19:45:32.0032220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi77
2025-08-26T19:45:32.0033300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-mr
2025-08-26T19:45:32.0034430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5418
2025-08-26T19:45:32.0035540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm3a
2025-08-26T19:45:32.0036780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x43-mono
2025-08-26T19:45:32.0037810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620-1
2025-08-26T19:45:32.0039120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari-color
2025-08-26T19:45:32.0040310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-s-ctxt
2025-08-26T19:45:32.0041360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi.sys
2025-08-26T19:45:32.0042480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-s
2025-08-26T19:45:32.0043480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos7
2025-08-26T19:45:32.0044800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-18-rv
2025-08-26T19:45:32.0045830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm31
2025-08-26T19:45:32.0047110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-w-nl
2025-08-26T19:45:32.0048260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620-s
2025-08-26T19:45:32.0049290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm36
2025-08-26T19:45:32.0050380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avatar
2025-08-26T19:45:32.0051430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amiga
2025-08-26T19:45:32.0052730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo_15P
2025-08-26T19:45:32.0053590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt7
2025-08-26T19:45:32.0054780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-rv-s
2025-08-26T19:45:32.0055890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730-41
2025-08-26T19:45:32.0057030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420_2-w
2025-08-26T19:45:32.0058230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att605-w
2025-08-26T19:45:32.0059250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att605
2025-08-26T19:45:32.0060480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-60-dec-rv
2025-08-26T19:45:32.0061670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5410
2025-08-26T19:45:32.0062750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos7pc
2025-08-26T19:45:32.0063750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm1178
2025-08-26T19:45:32.0065000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/absolute
2025-08-26T19:45:32.0066110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex-219
2025-08-26T19:45:32.0067220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/at
2025-08-26T19:45:32.0068350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm+sgr
2025-08-26T19:45:32.0069490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att620-w
2025-08-26T19:45:32.0070520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-s
2025-08-26T19:45:32.0071650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aj510
2025-08-26T19:45:32.0072780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730-24
2025-08-26T19:45:32.0073960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex-232
2025-08-26T19:45:32.0075080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aws
2025-08-26T19:45:32.0076130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att7300
2025-08-26T19:45:32.0077100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm3a+
2025-08-26T19:45:32.0078400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avatar0
2025-08-26T19:45:32.0079450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm12
2025-08-26T19:45:32.0080620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-rv
2025-08-26T19:45:32.0081710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730r
2025-08-26T19:45:32.0082940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi.sys-old
2025-08-26T19:45:32.0083890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/a980
2025-08-26T19:45:32.0085250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att620
2025-08-26T19:45:32.0086210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-videx
2025-08-26T19:45:32.0087320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi.sysk
2025-08-26T19:45:32.0088670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amp219w
2025-08-26T19:45:32.0089920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex175-b
2025-08-26T19:45:32.0091200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x25-mono
2025-08-26T19:45:32.0092160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm31-old
2025-08-26T19:45:32.0093370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avatar1
2025-08-26T19:45:32.0094510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-80
2025-08-26T19:45:32.0095760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-db
2025-08-26T19:45:32.0096890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amiga-vnc
2025-08-26T19:45:32.0098010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-rv-nl
2025-08-26T19:45:32.0099060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm22
2025-08-26T19:45:32.0100250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610
2025-08-26T19:45:32.0101500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adds980
2025-08-26T19:45:32.0102560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple80p
2025-08-26T19:45:32.0103700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5410-w
2025-08-26T19:45:32.0104840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+inittabs
2025-08-26T19:45:32.0105940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+local
2025-08-26T19:45:32.0107200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5425-nl
2025-08-26T19:45:32.0108210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aterm
2025-08-26T19:45:32.0109240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/at-m
2025-08-26T19:45:32.0110330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4425-w
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2025-08-26T19:45:32.0112680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-rv-ctxt
2025-08-26T19:45:32.0113730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att2300
2025-08-26T19:45:32.0114900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-ns
2025-08-26T19:45:32.0116080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5310
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2025-08-26T19:45:32.0118310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-36-rv
2025-08-26T19:45:32.0119320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/act4
2025-08-26T19:45:32.0120530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w-rv-s
2025-08-26T19:45:32.0121580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aixterm-m
2025-08-26T19:45:32.0122680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm1
2025-08-26T19:45:32.0123760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amiga-h
2025-08-26T19:45:32.0124980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att615-103k
2025-08-26T19:45:32.0126070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ambas
2025-08-26T19:45:32.0127110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/at386
2025-08-26T19:45:32.0128250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/appleIIe
2025-08-26T19:45:32.0129280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att700
2025-08-26T19:45:32.0130410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-36
2025-08-26T19:45:32.0131640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-w-rv
2025-08-26T19:45:32.0132770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/arm100-wam
2025-08-26T19:45:32.0133710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/act5
2025-08-26T19:45:32.0134990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/appleIIgs
2025-08-26T19:45:32.0136090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/addsvp60
2025-08-26T19:45:32.0137280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w-s
2025-08-26T19:45:32.0138500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5320
2025-08-26T19:45:32.0139730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-s-ctxt
2025-08-26T19:45:32.0140810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa+unk
2025-08-26T19:45:32.0141870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-m
2025-08-26T19:45:32.0142980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adds200
2025-08-26T19:45:32.0144230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+apparrows
2025-08-26T19:45:32.0145360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-s-rv-ct
2025-08-26T19:45:32.0146640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/appleIIc
2025-08-26T19:45:32.0147690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30
2025-08-26T19:45:32.0148830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/at-color
2025-08-26T19:45:32.0149990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730
2025-08-26T19:45:32.0151200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x43
2025-08-26T19:45:32.0152380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-nl
2025-08-26T19:45:32.0153340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att505
2025-08-26T19:45:32.0154530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+arrows
2025-08-26T19:45:32.0155970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aixterm
2025-08-26T19:45:32.0156770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f200vi-w
2025-08-26T19:45:32.0157740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f200vi
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2025-08-26T19:45:32.0159810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fenixw
2025-08-26T19:45:32.0161000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/falco-p
2025-08-26T19:45:32.0161940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fox
2025-08-26T19:45:32.0162920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/foot
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2025-08-26T19:45:32.0165090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f100
2025-08-26T19:45:32.0166160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fbterm
2025-08-26T19:45:32.0167320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/freedom110
2025-08-26T19:45:32.0168680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f110-14w
2025-08-26T19:45:32.0169720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f110-w
2025-08-26T19:45:32.0170900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f1720
2025-08-26T19:45:32.0171920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/foot+base
2025-08-26T19:45:32.0173100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fixterm
2025-08-26T19:45:32.0174250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/freedom100
2025-08-26T19:45:32.0175330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f200-w
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2025-08-26T19:45:32.0177590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/foot-direct
2025-08-26T19:45:32.0178660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f110
2025-08-26T19:45:32.0179790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fenix
2025-08-26T19:45:32.0180860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/falco
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2025-08-26T19:45:32.0183270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/freedom-rv
2025-08-26T19:45:32.0184550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f100-rv
2025-08-26T19:45:32.0185860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/freedom200
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2025-08-26T19:45:32.0187990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fortune
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2025-08-26T19:45:32.0190040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P14-W
2025-08-26T19:45:32.0191030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P14-M
2025-08-26T19:45:32.0192060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P5
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2025-08-26T19:45:32.0194280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P9-8
2025-08-26T19:45:32.0195450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P8-W
2025-08-26T19:45:32.0196630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P12-M
2025-08-26T19:45:32.0197640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P7
2025-08-26T19:45:32.0198810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P9
2025-08-26T19:45:32.0199630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P8
2025-08-26T19:45:32.0200780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P12-M-W
2025-08-26T19:45:32.0201970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P12-W
2025-08-26T19:45:32.0203100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P9-W
2025-08-26T19:45:32.0204260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P14
2025-08-26T19:45:32.0205250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P14-M-W
2025-08-26T19:45:32.0206220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P12
2025-08-26T19:45:32.0207340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp236
2025-08-26T19:45:32.0208430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19us
2025-08-26T19:45:32.0209570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h-100
2025-08-26T19:45:32.0210740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-nt
2025-08-26T19:45:32.0211960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621b-kx-p
2025-08-26T19:45:32.0212980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h100
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2025-08-26T19:45:32.0215320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624-10p
2025-08-26T19:45:32.0216380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19
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2025-08-26T19:45:32.0218820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621a-a
2025-08-26T19:45:32.0219890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2640b
2025-08-26T19:45:32.0221060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-smul
2025-08-26T19:45:32.0222240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h80
2025-08-26T19:45:32.0223320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626p
2025-08-26T19:45:32.0224440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2623a
2025-08-26T19:45:32.0225640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpterm-color
2025-08-26T19:45:32.0226740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpex2
2025-08-26T19:45:32.0227830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2645a
2025-08-26T19:45:32.0228940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/heath-19
2025-08-26T19:45:32.0229970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hterm
2025-08-26T19:45:32.0230990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19g
2025-08-26T19:45:32.0232040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-u
2025-08-26T19:45:32.0233130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-12
2025-08-26T19:45:32.0234240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp
2025-08-26T19:45:32.0235210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-g
2025-08-26T19:45:32.0236420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-x40
2025-08-26T19:45:32.0237530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpterm-color2
2025-08-26T19:45:32.0238610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/heathkit
2025-08-26T19:45:32.0239730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h29a-kc-bc
2025-08-26T19:45:32.0241130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-a
2025-08-26T19:45:32.0242230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621b-kx
2025-08-26T19:45:32.0243120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-bs
2025-08-26T19:45:32.0244270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp70092A
2025-08-26T19:45:32.0245360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-wl
2025-08-26T19:45:32.0246560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+pfk-cr
2025-08-26T19:45:32.0247540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz2000
2025-08-26T19:45:32.0248820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98550a-color
2025-08-26T19:45:32.0249950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-4p
2025-08-26T19:45:32.0251070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98550
2025-08-26T19:45:32.0252280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpsub
2025-08-26T19:45:32.0253260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+arrows
2025-08-26T19:45:32.0254480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+pfk+arrows
2025-08-26T19:45:32.0255200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621k45
2025-08-26T19:45:32.0256010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/heathkit-a
2025-08-26T19:45:32.0256970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98550-color
2025-08-26T19:45:32.0257770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hds200
2025-08-26T19:45:32.0258650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1420
2025-08-26T19:45:32.0259540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2392
2025-08-26T19:45:32.0260490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hirez100-w
2025-08-26T19:45:32.0261320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2648
2025-08-26T19:45:32.0262140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hft-c
2025-08-26T19:45:32.0263010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1552
2025-08-26T19:45:32.0263860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2
2025-08-26T19:45:32.0264810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h29a-nkc-bc
2025-08-26T19:45:32.0265680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+color
2025-08-26T19:45:32.0266580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-fl
2025-08-26T19:45:32.0267470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2641a
2025-08-26T19:45:32.0268330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/htx11
2025-08-26T19:45:32.0269230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2627a
2025-08-26T19:45:32.0270300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp262x
2025-08-26T19:45:32.0271000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624
2025-08-26T19:45:32.0271830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2623
2025-08-26T19:45:32.0272730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621p-a
2025-08-26T19:45:32.0273630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-k45
2025-08-26T19:45:32.0274530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621b
2025-08-26T19:45:32.0275400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hazel
2025-08-26T19:45:32.0276480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2648a
2025-08-26T19:45:32.0277190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98550a
2025-08-26T19:45:32.0278100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2622
2025-08-26T19:45:32.0278900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp9837
2025-08-26T19:45:32.0279830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-4p-p
2025-08-26T19:45:32.0280740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621p
2025-08-26T19:45:32.0285570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpgeneric
2025-08-26T19:45:32.0286070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624a
2025-08-26T19:45:32.0286550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1500
2025-08-26T19:45:32.0287020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19kermit
2025-08-26T19:45:32.0287490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-us
2025-08-26T19:45:32.0287950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hft-old
2025-08-26T19:45:32.0288440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp700-wy
2025-08-26T19:45:32.0288900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp9845
2025-08-26T19:45:32.0289370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-nl
2025-08-26T19:45:32.0289840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpex
2025-08-26T19:45:32.0290610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19k
2025-08-26T19:45:32.0291560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hterm-256color
2025-08-26T19:45:32.0292490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h29a-kc-uc
2025-08-26T19:45:32.0293430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+printer
2025-08-26T19:45:32.0294310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2397a
2025-08-26T19:45:32.0295250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-10p
2025-08-26T19:45:32.0296100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1510
2025-08-26T19:45:32.0297010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-ba
2025-08-26T19:45:32.0300130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-12x40
2025-08-26T19:45:32.0300990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/ha8675
2025-08-26T19:45:32.0301860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/ha8686
2025-08-26T19:45:32.0302730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2640a
2025-08-26T19:45:32.0303590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1520
2025-08-26T19:45:32.0304480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626a
2025-08-26T19:45:32.0305550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624a-10p
2025-08-26T19:45:32.0306270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/heath
2025-08-26T19:45:32.0307230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hft-c-old
2025-08-26T19:45:32.0308040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98720
2025-08-26T19:45:32.0308890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1000
2025-08-26T19:45:32.0309760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hft
2025-08-26T19:45:32.0310650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2382
2025-08-26T19:45:32.0311520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpterm
2025-08-26T19:45:32.0312440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpansi
2025-08-26T19:45:32.0313300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98721
2025-08-26T19:45:32.0314260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-b
2025-08-26T19:45:32.0315360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-a
2025-08-26T19:45:32.0316100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp45
2025-08-26T19:45:32.0316860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h-100bw
2025-08-26T19:45:32.0317930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1520-noesc
2025-08-26T19:45:32.0318680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp110
2025-08-26T19:45:32.0319590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp300h
2025-08-26T19:45:32.0320500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/he80
2025-08-26T19:45:32.0321530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-12-s
2025-08-26T19:45:32.0322590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2397
2025-08-26T19:45:32.0323870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp150
2025-08-26T19:45:32.0325100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2382a
2025-08-26T19:45:32.0326310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-48
2025-08-26T19:45:32.0327530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+pfk+cr
2025-08-26T19:45:32.0328610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h29a-nkc-uc
2025-08-26T19:45:32.0329640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp700
2025-08-26T19:45:32.0330930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621b-p
2025-08-26T19:45:32.0331830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h100bw
2025-08-26T19:45:32.0332880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hurd
2025-08-26T19:45:32.0334000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp70092
2025-08-26T19:45:32.0335140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2622a
2025-08-26T19:45:32.0336530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2644a
2025-08-26T19:45:32.0337610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2645
2025-08-26T19:45:32.0338890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-10p-p
2025-08-26T19:45:32.0340030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-s
2025-08-26T19:45:32.0341260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2627c
2025-08-26T19:45:32.0342260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1552-rv
2025-08-26T19:45:32.0343410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626
2025-08-26T19:45:32.0344620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2627a-rev
2025-08-26T19:45:32.0345810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621
2025-08-26T19:45:32.0346970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b
2025-08-26T19:45:32.0347980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-ns
2025-08-26T19:45:32.0349160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hmod1
2025-08-26T19:45:32.0360810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621A
2025-08-26T19:45:32.0361300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+labels
2025-08-26T19:45:32.0361780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-p
2025-08-26T19:45:32.0362260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/heath-ansi
2025-08-26T19:45:32.0362740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2647a
2025-08-26T19:45:32.0363220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-35
2025-08-26T19:45:32.0363710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-100
2025-08-26T19:45:32.0364200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-50
2025-08-26T19:45:32.0364680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/o4112-nd
2025-08-26T19:45:32.0365170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-25-w
2025-08-26T19:45:32.0365640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oc100
2025-08-26T19:45:32.0366130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-60
2025-08-26T19:45:32.0366620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-35-w
2025-08-26T19:45:32.0367100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osexec
2025-08-26T19:45:32.0367550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/o85h
2025-08-26T19:45:32.0368020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oldibmpc3
2025-08-26T19:45:32.0368500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-w
2025-08-26T19:45:32.0369620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-50-w
2025-08-26T19:45:32.0370920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-25-w-vt
2025-08-26T19:45:32.0372040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osborne
2025-08-26T19:45:32.0373360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oldsun
2025-08-26T19:45:32.0374630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osborne1-w
2025-08-26T19:45:32.0375930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osborne-w
2025-08-26T19:45:32.0376990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/owl
2025-08-26T19:45:32.0378380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oconcept
2025-08-26T19:45:32.0379420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt
2025-08-26T19:45:32.0381030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-60-nti
2025-08-26T19:45:32.0381910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/ofcons
2025-08-26T19:45:32.0383190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opus3n1+
2025-08-26T19:45:32.0384320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/otek4112
2025-08-26T19:45:32.0385430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/otek4115
2025-08-26T19:45:32.0386810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oldxterm+sm+1006
2025-08-26T19:45:32.0387970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-100-nti
2025-08-26T19:45:32.0389190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-nti
2025-08-26T19:45:32.0390260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oblit
2025-08-26T19:45:32.0391460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/otek4114
2025-08-26T19:45:32.0392720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/otek4113
2025-08-26T19:45:32.0394000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-50-nti
2025-08-26T19:45:32.0395000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/o31
2025-08-26T19:45:32.0396240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oabm85h
2025-08-26T19:45:32.0397450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oldpc3
2025-08-26T19:45:32.0398720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osborne1
2025-08-26T19:45:32.0399720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/omron
2025-08-26T19:45:32.0401030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-25-nti
2025-08-26T19:45:32.0402170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/origpc3
2025-08-26T19:45:32.0403370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-w-vt
2025-08-26T19:45:32.0404660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-60-w
2025-08-26T19:45:32.0406100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/origibmpc3
2025-08-26T19:45:32.0407090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/old-st
2025-08-26T19:45:32.0408180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/ojerq
2025-08-26T19:45:32.0409550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-25
2025-08-26T19:45:32.0410800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-35-nti
2025-08-26T19:45:32.0411950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/os9LII
2025-08-26T19:45:32.0413140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6a/jfbterm
2025-08-26T19:45:32.0414270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6a/jaixterm-m
2025-08-26T19:45:32.0415280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6a/jerq
2025-08-26T19:45:32.0416340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6a/jaixterm
2025-08-26T19:45:32.0417480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/32/2621
2025-08-26T19:45:32.0418740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/32/2621-wl
2025-08-26T19:45:32.0420050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/32/2621A
2025-08-26T19:45:32.0421300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5051
2025-08-26T19:45:32.0422440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5410-w
2025-08-26T19:45:32.0423610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5630-24
2025-08-26T19:45:32.0424760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5630DMD-24
2025-08-26T19:45:32.0425800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5620
2025-08-26T19:45:32.0426910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris-ansi
2025-08-26T19:45:32.0428230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iq140
2025-08-26T19:45:32.0429330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3161
2025-08-26T19:45:32.0430560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intertube2
2025-08-26T19:45:32.0431890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6154-c
2025-08-26T19:45:32.0433000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iterm
2025-08-26T19:45:32.0434160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intertube
2025-08-26T19:45:32.0435560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3151
2025-08-26T19:45:32.0436780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5051
2025-08-26T19:45:32.0438090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8604
2025-08-26T19:45:32.0439260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/infoton
2025-08-26T19:45:32.0440590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpc3r-mono
2025-08-26T19:45:32.0441650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmaed
2025-08-26T19:45:32.0442680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpc
2025-08-26T19:45:32.0443370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ips
2025-08-26T19:45:32.0444380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm327x
2025-08-26T19:45:32.0445230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibcs2
2025-08-26T19:45:32.0445980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/i100
2025-08-26T19:45:32.0446910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmmpel-c
2025-08-26T19:45:32.0447780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmega
2025-08-26T19:45:32.0448650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5154
2025-08-26T19:45:32.0449590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iTerm2.app
2025-08-26T19:45:32.0450870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris-ansi-net
2025-08-26T19:45:32.0451940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/infoton2
2025-08-26T19:45:32.0453090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmvga-c
2025-08-26T19:45:32.0454230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm+16color
2025-08-26T19:45:32.0455520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ims-ansi
2025-08-26T19:45:32.0456650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm-system1
2025-08-26T19:45:32.0457780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmapa8c
2025-08-26T19:45:32.0458800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8503
2025-08-26T19:45:32.0460040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmega-c
2025-08-26T19:45:32.0461060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmx
2025-08-26T19:45:32.0462200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm-pc
2025-08-26T19:45:32.0463730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intext2
2025-08-26T19:45:32.0464520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5081
2025-08-26T19:45:32.0465710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmapa8c-c
2025-08-26T19:45:32.0466780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ipsi
2025-08-26T19:45:32.0467930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3162
2025-08-26T19:45:32.0469130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris-color
2025-08-26T19:45:32.0470290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ims950-rv
2025-08-26T19:45:32.0471330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8512
2025-08-26T19:45:32.0472280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3161-C
2025-08-26T19:45:32.0473330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iq120
2025-08-26T19:45:32.0474390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3163
2025-08-26T19:45:32.0475390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3164
2025-08-26T19:45:32.0476620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6153-90
2025-08-26T19:45:32.0477770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8513
2025-08-26T19:45:32.0479050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5081-c
2025-08-26T19:45:32.0480030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris40
2025-08-26T19:45:32.0481140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8514
2025-08-26T19:45:32.0482150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3101
2025-08-26T19:45:32.0483330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iterm2
2025-08-26T19:45:32.0484520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6153
2025-08-26T19:45:32.0485850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intertec
2025-08-26T19:45:32.0486940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6154
2025-08-26T19:45:32.0488160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpc3r
2025-08-26T19:45:32.0489420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmvga
2025-08-26T19:45:32.0490520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6155
2025-08-26T19:45:32.0491590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ims950-b
2025-08-26T19:45:32.0492730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/interix-nti
2025-08-26T19:45:32.0493840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmmono
2025-08-26T19:45:32.0494800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmapa8
2025-08-26T19:45:32.0495970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iTerm.app
2025-08-26T19:45:32.0497120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/icl6404
2025-08-26T19:45:32.0498360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/icl6404-w
2025-08-26T19:45:32.0499480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iterm2-direct
2025-08-26T19:45:32.0500510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/i3101
2025-08-26T19:45:32.0501740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intext
2025-08-26T19:45:32.0502760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/interix
2025-08-26T19:45:32.0503730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpc3
2025-08-26T19:45:32.0504940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5151
2025-08-26T19:45:32.0506150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpcx
2025-08-26T19:45:32.0507370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm+color
2025-08-26T19:45:32.0508760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/i3164
2025-08-26T19:45:32.0509810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/icl6402
2025-08-26T19:45:32.0510890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ifmr
2025-08-26T19:45:32.0511980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/i400
2025-08-26T19:45:32.0513130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8507
2025-08-26T19:45:32.0514130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ims950
2025-08-26T19:45:32.0515360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris-ansi-ap
2025-08-26T19:45:32.0516560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmapa16
2025-08-26T19:45:32.0517640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm-apl
2025-08-26T19:45:32.0518780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intextii
2025-08-26T19:45:32.0519810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8514-c
2025-08-26T19:45:32.0521010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5154-c
2025-08-26T19:45:32.0522170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6153-40
2025-08-26T19:45:32.0523290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-H
2025-08-26T19:45:32.0524510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q306-8-pc
2025-08-26T19:45:32.0525780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-H-am
2025-08-26T19:45:32.0527030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-w-am
2025-08-26T19:45:32.0528130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-w
2025-08-26T19:45:32.0529340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-Hw
2025-08-26T19:45:32.0530400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/58/X-hpterm
2025-08-26T19:45:32.0531570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/58/X-hpterm-color2
2025-08-26T19:45:32.0532690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-2012
2025-08-26T19:45:32.0533800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-44
2025-08-26T19:45:32.0534820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru+rv
2025-08-26T19:45:32.0535830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru
2025-08-26T19:45:32.0536860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gator
2025-08-26T19:45:32.0538140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome+pcfkeys
2025-08-26T19:45:32.0539140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/go140
2025-08-26T19:45:32.0540290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-s
2025-08-26T19:45:32.0541480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-lp
2025-08-26T19:45:32.0542660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-w-s
2025-08-26T19:45:32.0543750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gsi
2025-08-26T19:45:32.0544920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gs6300
2025-08-26T19:45:32.0546210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gator-52
2025-08-26T19:45:32.0547290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-44-s
2025-08-26T19:45:32.0548470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-rh72
2025-08-26T19:45:32.0549460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gs5430-24
2025-08-26T19:45:32.0550630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-rh80
2025-08-26T19:45:32.0551790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru+s
2025-08-26T19:45:32.0553010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-fc5
2025-08-26T19:45:32.0554110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gs5430-22
2025-08-26T19:45:32.0555240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gt40
2025-08-26T19:45:32.0556260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/go225
2025-08-26T19:45:32.0557370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-33-rv
2025-08-26T19:45:32.0558540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome
2025-08-26T19:45:32.0559640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-2007
2025-08-26T19:45:32.0560810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gigi
2025-08-26T19:45:32.0561860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-33
2025-08-26T19:45:32.0563060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-2008
2025-08-26T19:45:32.0564210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gator-t
2025-08-26T19:45:32.0565330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/graphos
2025-08-26T19:45:32.0566530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76
2025-08-26T19:45:32.0567580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/glasstty
2025-08-26T19:45:32.0568890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-256color
2025-08-26T19:45:32.0570130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gs5430
2025-08-26T19:45:32.0571220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-rv
2025-08-26T19:45:32.0572380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-24
2025-08-26T19:45:32.0573530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru+unk
2025-08-26T19:45:32.0574830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-rh90
2025-08-26T19:45:32.0575960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-w
2025-08-26T19:45:32.0577130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-nctxt
2025-08-26T19:45:32.0578270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-rh62
2025-08-26T19:45:32.0579260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/go-225
2025-08-26T19:45:32.0580580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gt100a
2025-08-26T19:45:32.0581660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gt100
2025-08-26T19:45:32.0582990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gt42
2025-08-26T19:45:32.0584110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-s
2025-08-26T19:45:32.0588640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-lp
2025-08-26T19:45:32.0589120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/go140w
2025-08-26T19:45:32.0589600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/graphos-30
2025-08-26T19:45:32.0590080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-33-s
2025-08-26T19:45:32.0590570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gator-52t
2025-08-26T19:45:32.0591050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-wm
2025-08-26T19:45:32.0591530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/34/4410-w
2025-08-26T19:45:32.0592730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/34/4027ex
2025-08-26T19:45:32.0593900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/34/4025ex
2025-08-26T19:45:32.0594960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/33/386at
2025-08-26T19:45:32.0595980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/33/3b1
2025-08-26T19:45:32.0597570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4e/NCR260VT300WPP
2025-08-26T19:45:32.0598690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4e/NCRVT100WPP
2025-08-26T19:45:32.0599670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/45/Eterm-88color
2025-08-26T19:45:32.0600710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/45/Eterm
2025-08-26T19:45:32.0601980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/45/Eterm-256color
2025-08-26T19:45:32.0603420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/45/Eterm-color
2025-08-26T19:45:32.0604810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1b-nb
2025-08-26T19:45:32.0605800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scanset
2025-08-26T19:45:32.0607010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/swtp
2025-08-26T19:45:32.0608190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/superbee-xsb
2025-08-26T19:45:32.0609480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/synertek380
2025-08-26T19:45:32.0610800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-256color
2025-08-26T19:45:32.0612050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen5
2025-08-26T19:45:32.0613270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/soroc140
2025-08-26T19:45:32.0614670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-16color
2025-08-26T19:45:32.0615900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen2
2025-08-26T19:45:32.0617210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-17
2025-08-26T19:45:32.0618440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty
2025-08-26T19:45:32.0619620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun
2025-08-26T19:45:32.0620770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-16color
2025-08-26T19:45:32.0622250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stterm-256color
2025-08-26T19:45:32.0623550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen3
2025-08-26T19:45:32.0624610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen4
2025-08-26T19:45:32.0626300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.konsole-256color
2025-08-26T19:45:32.0627280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/s4
2025-08-26T19:45:32.0628510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty-m1
2025-08-26T19:45:32.0629780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-16color-bce-s
2025-08-26T19:45:32.0631270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-256color-bce
2025-08-26T19:45:32.0632490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel12-80
2025-08-26T19:45:32.0633570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/superbee
2025-08-26T19:45:32.0634940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-0.7
2025-08-26T19:45:32.0636400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty-m1b
2025-08-26T19:45:32.0637640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-cgsix
2025-08-26T19:45:32.0638730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sb3
2025-08-26T19:45:32.0640080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scoansi
2025-08-26T19:45:32.0641520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.konsole
2025-08-26T19:45:32.0642700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st52-m
2025-08-26T19:45:32.0644000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-0.6
2025-08-26T19:45:32.0644830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.rxvt
2025-08-26T19:45:32.0645700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-type4
2025-08-26T19:45:32.0646570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-0.8
2025-08-26T19:45:32.0647400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sb2
2025-08-26T19:45:32.0648410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux-m1b
2025-08-26T19:45:32.0649400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/superbeeic
2025-08-26T19:45:32.0650170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-e-s
2025-08-26T19:45:32.0651290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-cmd
2025-08-26T19:45:32.0651990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/soroc
2025-08-26T19:45:32.0652940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.gnome
2025-08-26T19:45:32.0653870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.xterm-r6
2025-08-26T19:45:32.0654780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux-s
2025-08-26T19:45:32.0655620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-c
2025-08-26T19:45:32.0656740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.vte
2025-08-26T19:45:32.0657490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sune
2025-08-26T19:45:32.0658750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1-nb
2025-08-26T19:45:32.0659730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-base
2025-08-26T19:45:32.0660990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.gnome
2025-08-26T19:45:32.0662170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux-m2
2025-08-26T19:45:32.0663160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun2
2025-08-26T19:45:32.0664420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-w
2025-08-26T19:45:32.0665600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.xterm-xfree86
2025-08-26T19:45:32.0666820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stterm
2025-08-26T19:45:32.0667960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-ss5
2025-08-26T19:45:32.0668970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-e
2025-08-26T19:45:32.0670170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-nic
2025-08-26T19:45:32.0671500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.mlterm-256color
2025-08-26T19:45:32.0672730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.rxvt
2025-08-26T19:45:32.0673770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-34
2025-08-26T19:45:32.0674870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel2-80
2025-08-26T19:45:32.0677820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-direct
2025-08-26T19:45:32.0678530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/simterm
2025-08-26T19:45:32.0679780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1b
2025-08-26T19:45:32.0680880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sc415
2025-08-26T19:45:32.0681900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sibo
2025-08-26T19:45:32.0683100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scoansi-old
2025-08-26T19:45:32.0684210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stv52
2025-08-26T19:45:32.0685550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-16color-s
2025-08-26T19:45:32.0687090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.xterm-new
2025-08-26T19:45:32.0688010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st
2025-08-26T19:45:32.0689010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st52-color
2025-08-26T19:45:32.0689990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sbobcat
2025-08-26T19:45:32.0691290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux
2025-08-26T19:45:32.0692460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-12
2025-08-26T19:45:32.0693620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-256color-bce-s
2025-08-26T19:45:32.0694820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen+italics
2025-08-26T19:45:32.0695920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-24
2025-08-26T19:45:32.0697080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty-m2
2025-08-26T19:45:32.0698400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.linux
2025-08-26T19:45:32.0699530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screwpoint
2025-08-26T19:45:32.0700710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/soroc120
2025-08-26T19:45:32.0701820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-48
2025-08-26T19:45:32.0702950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/simpleterm
2025-08-26T19:45:32.0704130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/synertek
2025-08-26T19:45:32.0705180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scrt
2025-08-26T19:45:32.0706330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen
2025-08-26T19:45:32.0707280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-il
2025-08-26T19:45:32.0708400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce
2025-08-26T19:45:32.0709500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sbi
2025-08-26T19:45:32.0710610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sb1
2025-08-26T19:45:32.0712080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.xterm-256color
2025-08-26T19:45:32.0713010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st52
2025-08-26T19:45:32.0714160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scrhp
2025-08-26T19:45:32.0715310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stterm-16color
2025-08-26T19:45:32.0716490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scoansi-new
2025-08-26T19:45:32.0717730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/superbrain
2025-08-26T19:45:32.0719060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-256color-s
2025-08-26T19:45:32.0720210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sv80
2025-08-26T19:45:32.0721600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.mlterm
2025-08-26T19:45:32.0722770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.vte-256color
2025-08-26T19:45:32.0724110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty-256color
2025-08-26T19:45:32.0725430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.mrxvt
2025-08-26T19:45:32.0726580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st52-old
2025-08-26T19:45:32.0727570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.Eterm
2025-08-26T19:45:32.0728800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/spinwriter
2025-08-26T19:45:32.0729850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-s
2025-08-26T19:45:32.0730900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun1
2025-08-26T19:45:32.0732020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.teraterm
2025-08-26T19:45:32.0733450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.Eterm
2025-08-26T19:45:32.0734640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.mrxvt
2025-08-26T19:45:32.0735880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-16color-bce
2025-08-26T19:45:32.0736960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-s
2025-08-26T19:45:32.0738220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stv52pc
2025-08-26T19:45:32.0739490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1b-80
2025-08-26T19:45:32.0740520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/system1
2025-08-26T19:45:32.0741880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux-m1
2025-08-26T19:45:32.0742850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-1
2025-08-26T19:45:32.0743980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-color
2025-08-26T19:45:32.0745200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.xterm-new
2025-08-26T19:45:32.0746390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-256color
2025-08-26T19:45:32.0747610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen+fkeys
2025-08-26T19:45:32.0748890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.konsole
2025-08-26T19:45:32.0749900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun+sl
2025-08-26T19:45:32.0750920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sc410
2025-08-26T19:45:32.0752070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-s-e
2025-08-26T19:45:32.0753240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1
2025-08-26T19:45:32.0754510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/securecrt
2025-08-26T19:45:32.0755230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4424
2025-08-26T19:45:32.0756320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tw52
2025-08-26T19:45:32.0757490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-mc-vb
2025-08-26T19:45:32.0758690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620-s
2025-08-26T19:45:32.0759830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-unk-2p
2025-08-26T19:45:32.0760900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132-rv
2025-08-26T19:45:32.0762130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132-15
2025-08-26T19:45:32.0763190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620-1
2025-08-26T19:45:32.0764380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek
2025-08-26T19:45:32.0765530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti926-8
2025-08-26T19:45:32.0766710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-mc
2025-08-26T19:45:32.0767750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-vb
2025-08-26T19:45:32.0768940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi925-hi
2025-08-26T19:45:32.0769970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty33
2025-08-26T19:45:32.0771100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4027-ex
2025-08-26T19:45:32.0772080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4107
2025-08-26T19:45:32.0773310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti928-8
2025-08-26T19:45:32.0774550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-rv
2025-08-26T19:45:32.0775800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-2p-p
2025-08-26T19:45:32.0777190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-vb-unk
2025-08-26T19:45:32.0778380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ttydmd
2025-08-26T19:45:32.0779220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-p-2p
2025-08-26T19:45:32.0780350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4109
2025-08-26T19:45:32.0781430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty35
2025-08-26T19:45:32.0782670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-mc-2p
2025-08-26T19:45:32.0783750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916-8-132
2025-08-26T19:45:32.0784980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-2p-unk
2025-08-26T19:45:32.0785990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti931
2025-08-26T19:45:32.0787180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi970-vb
2025-08-26T19:45:32.0788290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5425
2025-08-26T19:45:32.0789550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts-1p
2025-08-26T19:45:32.0790680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920
2025-08-26T19:45:32.0791950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620-34
2025-08-26T19:45:32.0793040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi9065
2025-08-26T19:45:32.0794250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-p-2p
2025-08-26T19:45:32.0795340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-2p-p
2025-08-26T19:45:32.0796590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+printer
2025-08-26T19:45:32.0797740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-mc-2p
2025-08-26T19:45:32.0798690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t16
2025-08-26T19:45:32.0799920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c
2025-08-26T19:45:32.0801070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-unk-vb
2025-08-26T19:45:32.0802180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tgtelnet
2025-08-26T19:45:32.0803290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-unk
2025-08-26T19:45:32.0804350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4027
2025-08-26T19:45:32.0805540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminology
2025-08-26T19:45:32.0806610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620
2025-08-26T19:45:32.0807940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-mc-vb
2025-08-26T19:45:32.0809090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b+fn
2025-08-26T19:45:32.0810190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tws2103-sna
2025-08-26T19:45:32.0811420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4105-30
2025-08-26T19:45:32.0812600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tws2102-sna
2025-08-26T19:45:32.0813670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025-17-ws
2025-08-26T19:45:32.0814820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b
2025-08-26T19:45:32.0815880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-mc
2025-08-26T19:45:32.0816890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi910
2025-08-26T19:45:32.0817940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-vb
2025-08-26T19:45:32.0819030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4424-1
2025-08-26T19:45:32.0820160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t10
2025-08-26T19:45:32.0821390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-unk
2025-08-26T19:45:32.0822470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti707
2025-08-26T19:45:32.0823680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi921
2025-08-26T19:45:32.0824590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti700
2025-08-26T19:45:32.0825590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4404
2025-08-26T19:45:32.0826910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-2p
2025-08-26T19:45:32.0828120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-2p
2025-08-26T19:45:32.0829150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken
2025-08-26T19:45:32.0830240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tt52
2025-08-26T19:45:32.0831390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025a
2025-08-26T19:45:32.0832650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-vb-p
2025-08-26T19:45:32.0833890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-unk-2p
2025-08-26T19:45:32.0835090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5410v1-w
2025-08-26T19:45:32.0836170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/trs2
2025-08-26T19:45:32.0837360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-mc-2p
2025-08-26T19:45:32.0838450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950
2025-08-26T19:45:32.0839530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti924
2025-08-26T19:45:32.0840560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tw52-m
2025-08-26T19:45:32.0841520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916-132
2025-08-26T19:45:32.0842280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-nl
2025-08-26T19:45:32.0843170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5425-w
2025-08-26T19:45:32.0844060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-rv
2025-08-26T19:45:32.0844990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-p-vb
2025-08-26T19:45:32.0845910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-mc-vb
2025-08-26T19:45:32.0846790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi970-2p
2025-08-26T19:45:32.0847720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4207
2025-08-26T19:45:32.0848620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm4.59
2025-08-26T19:45:32.0849480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912cc
2025-08-26T19:45:32.0850430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-vb-unk
2025-08-26T19:45:32.0851260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t3800
2025-08-26T19:45:32.0852200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-mc-vb
2025-08-26T19:45:32.0853190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminology-1.0.0
2025-08-26T19:45:32.0853990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tw100
2025-08-26T19:45:32.0854910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+dim
2025-08-26T19:45:32.0855850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminet300
2025-08-26T19:45:32.0856730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-2018
2025-08-26T19:45:32.0857630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti703-w
2025-08-26T19:45:32.0858440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty43
2025-08-26T19:45:32.0859330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4113
2025-08-26T19:45:32.0860260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-16color
2025-08-26T19:45:32.0861230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminator
2025-08-26T19:45:32.0862310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4114
2025-08-26T19:45:32.0862960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti_ansi
2025-08-26T19:45:32.0863860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts100-ctxt
2025-08-26T19:45:32.0864760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5425-nl
2025-08-26T19:45:32.0865660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teletec
2025-08-26T19:45:32.0866540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts1p
2025-08-26T19:45:32.0867720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-2p-unk
2025-08-26T19:45:32.0868400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-p-vb
2025-08-26T19:45:32.0869240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4125
2025-08-26T19:45:32.0870260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-rv-4p
2025-08-26T19:45:32.0871160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts100
2025-08-26T19:45:32.0872010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-2p
2025-08-26T19:45:32.0872900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5410-w
2025-08-26T19:45:32.0873830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-vb-p
2025-08-26T19:45:32.0874650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab
2025-08-26T19:45:32.0875570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti707-w
2025-08-26T19:45:32.0876440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-p
2025-08-26T19:45:32.0877310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi955-w
2025-08-26T19:45:32.0878440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-mc-2p
2025-08-26T19:45:32.0879190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4113-34
2025-08-26T19:45:32.0880100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-p
2025-08-26T19:45:32.0880980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4115
2025-08-26T19:45:32.0881940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-unk-vb
2025-08-26T19:45:32.0882810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4112
2025-08-26T19:45:32.0883870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminet1200
2025-08-26T19:45:32.0884920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t3700
2025-08-26T19:45:32.0886140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-sc+fkeys
2025-08-26T19:45:32.0887280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t1061f
2025-08-26T19:45:32.0888360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty37
2025-08-26T19:45:32.0889480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c
2025-08-26T19:45:32.0890410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t1061
2025-08-26T19:45:32.0891840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi803
2025-08-26T19:45:32.0893070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tn1200
2025-08-26T19:45:32.0894230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti924-8
2025-08-26T19:45:32.0895530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-vb-unk
2025-08-26T19:45:32.0896760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-vt+fkeys
2025-08-26T19:45:32.0897980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts100-sp
2025-08-26T19:45:32.0899170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4420
2025-08-26T19:45:32.0900490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-2p-mc
2025-08-26T19:45:32.0901590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4424m
2025-08-26T19:45:32.0902760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4105
2025-08-26T19:45:32.0903880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4015-sm
2025-08-26T19:45:32.0905250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-vb-mc
2025-08-26T19:45:32.0906190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminet
2025-08-26T19:45:32.0907340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b
2025-08-26T19:45:32.0908540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-w
2025-08-26T19:45:32.0909580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132-w-rv
2025-08-26T19:45:32.0910640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teleray
2025-08-26T19:45:32.0911760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/trsII
2025-08-26T19:45:32.0912970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+vb
2025-08-26T19:45:32.0914100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-p-2p
2025-08-26T19:45:32.0915380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-2p-p
2025-08-26T19:45:32.0916570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4109brl
2025-08-26T19:45:32.0917640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4426
2025-08-26T19:45:32.0918730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-2p
2025-08-26T19:45:32.0920000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-unk-2p
2025-08-26T19:45:32.0921190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-w-rv
2025-08-26T19:45:32.0922290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4112-5
2025-08-26T19:45:32.0923550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tmux-256color
2025-08-26T19:45:32.0924690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi924
2025-08-26T19:45:32.0925740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-rv-nl
2025-08-26T19:45:32.0926800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti924-8w
2025-08-26T19:45:32.0928020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-2p-p
2025-08-26T19:45:32.0929130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132-w
2025-08-26T19:45:32.0930220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts-1
2025-08-26T19:45:32.0931430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-p-2p
2025-08-26T19:45:32.0932620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tws-generic
2025-08-26T19:45:32.0933690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tandem6510
2025-08-26T19:45:32.0934940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm-256color
2025-08-26T19:45:32.0936120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-vb-mc
2025-08-26T19:45:32.0937220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912
2025-08-26T19:45:32.0938410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm
2025-08-26T19:45:32.0939590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti733
2025-08-26T19:45:32.0940680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025
2025-08-26T19:45:32.0941850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+mc
2025-08-26T19:45:32.0942940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5410
2025-08-26T19:45:32.0944090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi92D
2025-08-26T19:45:32.0945250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-unk-vb
2025-08-26T19:45:32.0946290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4014
2025-08-26T19:45:32.0947420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-vt
2025-08-26T19:45:32.0948550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-2p
2025-08-26T19:45:32.0949610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4013
2025-08-26T19:45:32.0950640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi970
2025-08-26T19:45:32.0955970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-unk
2025-08-26T19:45:32.0956240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi914
2025-08-26T19:45:32.0956580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti735
2025-08-26T19:45:32.0956770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tmux
2025-08-26T19:45:32.0956960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti703
2025-08-26T19:45:32.0957150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi925
2025-08-26T19:45:32.0958440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t653x
2025-08-26T19:45:32.0959830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tw52-color
2025-08-26T19:45:32.0960880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/trs16
2025-08-26T19:45:32.0962180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4012
2025-08-26T19:45:32.0963380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420
2025-08-26T19:45:32.0964550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/trs80II
2025-08-26T19:45:32.0965730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4015
2025-08-26T19:45:32.0966970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-sc
2025-08-26T19:45:32.0968080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-p
2025-08-26T19:45:32.0969280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-2p-unk
2025-08-26T19:45:32.0970340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132
2025-08-26T19:45:32.0971560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4023
2025-08-26T19:45:32.0972850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-p
2025-08-26T19:45:32.0973880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tandem653
2025-08-26T19:45:32.0974970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4024
2025-08-26T19:45:32.0976330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-2p-mc
2025-08-26T19:45:32.0977560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi955-hb
2025-08-26T19:45:32.0978870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi92B
2025-08-26T19:45:32.0979990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-unk
2025-08-26T19:45:32.0981380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4014-sm
2025-08-26T19:45:32.0982630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-w-nl
2025-08-26T19:45:32.0983890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916
2025-08-26T19:45:32.0985100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4205
2025-08-26T19:45:32.0986290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-vb-p
2025-08-26T19:45:32.0987500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm4.97
2025-08-26T19:45:32.0988580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025-cr
2025-08-26T19:45:32.0989740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4113-nd
2025-08-26T19:45:32.0990960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-vb-mc
2025-08-26T19:45:32.0992210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-vb-unk
2025-08-26T19:45:32.0993350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tmux-direct
2025-08-26T19:45:32.0994540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916-220-7
2025-08-26T19:45:32.0995880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4107brl
2025-08-26T19:45:32.0997080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts1
2025-08-26T19:45:32.0998070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti926
2025-08-26T19:45:32.0999350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-unk-2p
2025-08-26T19:45:32.1000330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti924w
2025-08-26T19:45:32.1001360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tn300
2025-08-26T19:45:32.1002450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi955
2025-08-26T19:45:32.1003590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-4p
2025-08-26T19:45:32.1004860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti928
2025-08-26T19:45:32.1005940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-mc
2025-08-26T19:45:32.1007200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-vb
2025-08-26T19:45:32.1008420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti745
2025-08-26T19:45:32.1009550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tws2103
2025-08-26T19:45:32.1010820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916-220-8
2025-08-26T19:45:32.1012000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620-24
2025-08-26T19:45:32.1013150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5410v1
2025-08-26T19:45:32.1014360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420+nl
2025-08-26T19:45:32.1015560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025ex
2025-08-26T19:45:32.1016930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025-ex
2025-08-26T19:45:32.1018280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-2p-mc
2025-08-26T19:45:32.1019390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-p-vb
2025-08-26T19:45:32.1020410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti800
2025-08-26T19:45:32.1021850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-p-vb
2025-08-26T19:45:32.1023130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-w-rv-n
2025-08-26T19:45:32.1024180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+2p
2025-08-26T19:45:32.1025260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty40
2025-08-26T19:45:32.1026540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-unk-vb
2025-08-26T19:45:32.1027640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-rv-2p
2025-08-26T19:45:32.1028820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-mc
2025-08-26T19:45:32.1029960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-vb
2025-08-26T19:45:32.1031240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tt
2025-08-26T19:45:32.1032470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4207-s
2025-08-26T19:45:32.1033570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-2p-mc
2025-08-26T19:45:32.1034870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916-8
2025-08-26T19:45:32.1036180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm2.3
2025-08-26T19:45:32.1037660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminology-0.6.1
2025-08-26T19:45:32.1038790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi910+
2025-08-26T19:45:32.1039810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvipt
2025-08-26T19:45:32.1041300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-vb-mc
2025-08-26T19:45:32.1042490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/termite
2025-08-26T19:45:32.1043870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-2p-unk
2025-08-26T19:45:32.1044940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4105a
2025-08-26T19:45:32.1046120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4112-nd
2025-08-26T19:45:32.1047450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-2022
2025-08-26T19:45:32.1048580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025-17
2025-08-26T19:45:32.1049680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-vb-p
2025-08-26T19:45:32.1051840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4106brl
2025-08-26T19:45:32.1053010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminology-1.8.1
2025-08-26T19:45:32.1053940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tkterm
2025-08-26T19:45:32.1055110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4c/LFT-PC850
2025-08-26T19:45:32.1056390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4d/MtxOrb162
2025-08-26T19:45:32.1057580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4d/MtxOrb
2025-08-26T19:45:32.1058810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4d/MtxOrb204
2025-08-26T19:45:32.1059930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/uniterm
2025-08-26T19:45:32.1061050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/ultima2
2025-08-26T19:45:32.1062190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/uniterm49
2025-08-26T19:45:32.1063380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/uts30
2025-08-26T19:45:32.1064490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/ultimaII
2025-08-26T19:45:32.1065650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/unixpc
2025-08-26T19:45:32.1066850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/unknown
2025-08-26T19:45:32.1068000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/uwin
2025-08-26T19:45:32.1069190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rebus3180
2025-08-26T19:45:32.1070280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rbcomm-w
2025-08-26T19:45:32.1071550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/report+version
2025-08-26T19:45:32.1072670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-xpm
2025-08-26T19:45:32.1073590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rtpc
2025-08-26T19:45:32.1074770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-16color
2025-08-26T19:45:32.1076200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-cygwin-native
2025-08-26T19:45:32.1077300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent200
2025-08-26T19:45:32.1078350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rt6221
2025-08-26T19:45:32.1079580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rbcomm-nam
2025-08-26T19:45:32.1080750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rbcomm
2025-08-26T19:45:32.1081950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-88color
2025-08-26T19:45:32.1083020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rcons
2025-08-26T19:45:32.1084250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-cygwin
2025-08-26T19:45:32.1085380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent40
2025-08-26T19:45:32.1086530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent100
2025-08-26T19:45:32.1087730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent25
2025-08-26T19:45:32.1088910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/report+da2
2025-08-26T19:45:32.1089940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt
2025-08-26T19:45:32.1091050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent60
2025-08-26T19:45:32.1092050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rio
2025-08-26T19:45:32.1093090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rca
2025-08-26T19:45:32.1094210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-color
2025-08-26T19:45:32.1095310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-256color
2025-08-26T19:45:32.1096360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rt6221-w
2025-08-26T19:45:32.1097520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-basic
2025-08-26T19:45:32.1098730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rcons-color
2025-08-26T19:45:32.1099900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rio-direct
2025-08-26T19:45:32.1101140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent40+
2025-08-26T19:45:32.1102320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt+pcfkeys
2025-08-26T19:45:32.1103300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent
2025-08-26T19:45:32.1104350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent20
2025-08-26T19:45:32.1105530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-vt100
2025-08-26T19:45:32.1106570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kterm
2025-08-26T19:45:32.1107900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-direct
2025-08-26T19:45:32.1108900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-base
2025-08-26T19:45:32.1109980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+sgr
2025-08-26T19:45:32.1111150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kds7372-w
2025-08-26T19:45:32.1112360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kterm-color
2025-08-26T19:45:32.1113450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-vt420pc
2025-08-26T19:45:32.1114470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kvt
2025-08-26T19:45:32.1115550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kaypro
2025-08-26T19:45:32.1116690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole
2025-08-26T19:45:32.1117900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-solaris
2025-08-26T19:45:32.1119160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-linux
2025-08-26T19:45:32.1120170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/ktm
2025-08-26T19:45:32.1121500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+sgr-dumb
2025-08-26T19:45:32.1122720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kitty+common
2025-08-26T19:45:32.1124090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-16color
2025-08-26T19:45:32.1125130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/k45
2025-08-26T19:45:32.1126350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kermit-am
2025-08-26T19:45:32.1127340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kds6402
2025-08-26T19:45:32.1128460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kds7372
2025-08-26T19:45:32.1129750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+acs
2025-08-26T19:45:32.1130930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kitty+setal
2025-08-26T19:45:32.1132200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole+pcfkeys
2025-08-26T19:45:32.1133390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-xf3x
2025-08-26T19:45:32.1134490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kt7ix
2025-08-26T19:45:32.1135860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-256color
2025-08-26T19:45:32.1136950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kermit
2025-08-26T19:45:32.1138190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kitty-direct
2025-08-26T19:45:32.1139420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kt7
2025-08-26T19:45:32.1140670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+color
2025-08-26T19:45:32.1141730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kitty
2025-08-26T19:45:32.1142890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kterm-co
2025-08-26T19:45:32.1144090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+koi8acs
2025-08-26T19:45:32.1145640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+sgr8
2025-08-26T19:45:32.1146660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-xf4x
2025-08-26T19:45:32.1147800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kon
2025-08-26T19:45:32.1148840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kaypro2
2025-08-26T19:45:32.1149890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kon2
2025-08-26T19:45:32.1150910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/38/8510
2025-08-26T19:45:32.1152150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newscbm
2025-08-26T19:45:32.1153420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-25-mc-nl
2025-08-26T19:45:32.1154600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160wy60wpp
2025-08-26T19:45:32.1155820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build309
2025-08-26T19:45:32.1156850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp-517
2025-08-26T19:45:32.1158190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt200wpp
2025-08-26T19:45:32.1159250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-25-w
2025-08-26T19:45:32.1160390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy50+pp
2025-08-26T19:45:32.1161540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news28-a
2025-08-26T19:45:32.1162750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-25
2025-08-26T19:45:32.1164040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-29-euc
2025-08-26T19:45:32.1165120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/next
2025-08-26T19:45:32.1166350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp-511
2025-08-26T19:45:32.1167660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-s
2025-08-26T19:45:32.1168700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/netbsd6
2025-08-26T19:45:32.1170020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-50-w
2025-08-26T19:45:32.1171330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-60-nti
2025-08-26T19:45:32.1172520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c-s-7
2025-08-26T19:45:32.1173840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build440
2025-08-26T19:45:32.1175090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt100an
2025-08-26T19:45:32.1176390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt+sl
2025-08-26T19:45:32.1177670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt100pp
2025-08-26T19:45:32.1178910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newhpkeyboard
2025-08-26T19:45:32.1180060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-42-sjis
2025-08-26T19:45:32.1181310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vpwpp
2025-08-26T19:45:32.1182340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nxterm
2025-08-26T19:45:32.1183430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwe501
2025-08-26T19:45:32.1184600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nansisysk
2025-08-26T19:45:32.1185770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt200an
2025-08-26T19:45:32.1186920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt300pp
2025-08-26T19:45:32.1188170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy325wpp
2025-08-26T19:45:32.1189420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vp+sl
2025-08-26T19:45:32.1190600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news40
2025-08-26T19:45:32.1191790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-35-w
2025-08-26T19:45:32.1192930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy350wpp
2025-08-26T19:45:32.1194080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt300wpp
2025-08-26T19:45:32.1195250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-100
2025-08-26T19:45:32.1196480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa-vt220-8
2025-08-26T19:45:32.1197690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp512-a
2025-08-26T19:45:32.1198760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp518-o
2025-08-26T19:45:32.1199940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt300an
2025-08-26T19:45:32.1201030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt200pp
2025-08-26T19:45:32.1202260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt100wpp
2025-08-26T19:45:32.1203410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500
2025-08-26T19:45:32.1204640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp512-o
2025-08-26T19:45:32.1205710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp518-a
2025-08-26T19:45:32.1206970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-100-nti
2025-08-26T19:45:32.1208160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news40-o
2025-08-26T19:45:32.1209380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m
2025-08-26T19:45:32.1210600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-mc
2025-08-26T19:45:32.1211830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+s
2025-08-26T19:45:32.1212960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-nl
2025-08-26T19:45:32.1214140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news40-a
2025-08-26T19:45:32.1215390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c
2025-08-26T19:45:32.1216410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nec5520
2025-08-26T19:45:32.1217680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy325pp
2025-08-26T19:45:32.1218970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt100wan
2025-08-26T19:45:32.1220100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7-s
2025-08-26T19:45:32.1221080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwe501-o
2025-08-26T19:45:32.1222250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news31
2025-08-26T19:45:32.1223550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt300wan
2025-08-26T19:45:32.1224630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp251-o
2025-08-26T19:45:32.1225780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncrvt100wan
2025-08-26T19:45:32.1226840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-old-unk
2025-08-26T19:45:32.1227900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp251-a
2025-08-26T19:45:32.1228930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwe501-a
2025-08-26T19:45:32.1230150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-s-acs
2025-08-26T19:45:32.1231200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+7
2025-08-26T19:45:32.1232500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build400
2025-08-26T19:45:32.1233630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-bce
2025-08-26T19:45:32.1234760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncrvt100an
2025-08-26T19:45:32.1235680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-mc-nl
2025-08-26T19:45:32.1236580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nansisys
2025-08-26T19:45:32.1237440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+acs
2025-08-26T19:45:32.1238360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-w
2025-08-26T19:45:32.1239280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c-acs
2025-08-26T19:45:32.1240200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-33-sjis
2025-08-26T19:45:32.1241070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa-m
2025-08-26T19:45:32.1242060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m-s-acs
2025-08-26T19:45:32.1242870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp518
2025-08-26T19:45:32.1243740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp511
2025-08-26T19:45:32.1244660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m-7
2025-08-26T19:45:32.1245510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp517-w
2025-08-26T19:45:32.1246800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260intwan
2025-08-26T19:45:32.1247470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-c-s
2025-08-26T19:45:32.1248300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c-s
2025-08-26T19:45:32.1249270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy350pp
2025-08-26T19:45:32.1250210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+c41
2025-08-26T19:45:32.1251110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp517
2025-08-26T19:45:32.1251970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa
2025-08-26T19:45:32.1252810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news31-a
2025-08-26T19:45:32.1253740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260intan
2025-08-26T19:45:32.1254570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newhp
2025-08-26T19:45:32.1255460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news31-o
2025-08-26T19:45:32.1256330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m-s
2025-08-26T19:45:32.1257560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt200wan
2025-08-26T19:45:32.1258260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/n7900
2025-08-26T19:45:32.1259080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-29-sjis
2025-08-26T19:45:32.1260040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160wy50+wpp
2025-08-26T19:45:32.1260930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-25
2025-08-26T19:45:32.1261820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nd9500
2025-08-26T19:45:32.1262780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c-7
2025-08-26T19:45:32.1263710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-m-s
2025-08-26T19:45:32.1265010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-50
2025-08-26T19:45:32.1266160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build361
2025-08-26T19:45:32.1267350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vpwpp
2025-08-26T19:45:32.1268650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr7900iv
2025-08-26T19:45:32.1269780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c-s-acs
2025-08-26T19:45:32.1270850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr7901
2025-08-26T19:45:32.1272050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt100wan
2025-08-26T19:45:32.1273210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nansi.sysk
2025-08-26T19:45:32.1274440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt300pp
2025-08-26T19:45:32.1275660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt200an
2025-08-26T19:45:32.1276880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160wy60pp
2025-08-26T19:45:32.1277940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt300wan
2025-08-26T19:45:32.1279080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vppp
2025-08-26T19:45:32.1280350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt200pp
2025-08-26T19:45:32.1281630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt300an
2025-08-26T19:45:32.1282860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7-c-s
2025-08-26T19:45:32.1283970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-c
2025-08-26T19:45:32.1285290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-35
2025-08-26T19:45:32.1286440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-25-nti
2025-08-26T19:45:32.1287530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp-517-w
2025-08-26T19:45:32.1288800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-m
2025-08-26T19:45:32.1290090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m-acs
2025-08-26T19:45:32.1291350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-25-w-vt
2025-08-26T19:45:32.1292460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr7900
2025-08-26T19:45:32.1293670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-60
2025-08-26T19:45:32.1294900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7-m-s
2025-08-26T19:45:32.1296250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt100an
2025-08-26T19:45:32.1297350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-old
2025-08-26T19:45:32.1298540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs
2025-08-26T19:45:32.1299740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt100pp
2025-08-26T19:45:32.1300770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newscbm33
2025-08-26T19:45:32.1301870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news
2025-08-26T19:45:32.1303050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-42-euc
2025-08-26T19:45:32.1304160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-33
2025-08-26T19:45:32.1305460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/no+brackets
2025-08-26T19:45:32.1306480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-unk
2025-08-26T19:45:32.1307710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news42
2025-08-26T19:45:32.1308690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newscbm-o
2025-08-26T19:45:32.1309800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-direct
2025-08-26T19:45:32.1310960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp514-a
2025-08-26T19:45:32.1312220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-256color
2025-08-26T19:45:32.1313330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news29
2025-08-26T19:45:32.1314570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa-m-ns
2025-08-26T19:45:32.1315930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp514-o
2025-08-26T19:45:32.1316940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newscbm-a
2025-08-26T19:45:32.1318030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-25-nl
2025-08-26T19:45:32.1319100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa-ns
2025-08-26T19:45:32.1320350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-25-mc
2025-08-26T19:45:32.1321610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-35-nti
2025-08-26T19:45:32.1322680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nec
2025-08-26T19:45:32.1323940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy60wpp
2025-08-26T19:45:32.1325160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy50+wpp
2025-08-26T19:45:32.1326430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt200wan
2025-08-26T19:45:32.1327620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160wy50+pp
2025-08-26T19:45:32.1328900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-16color
2025-08-26T19:45:32.1330020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news28
2025-08-26T19:45:32.1331210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+mac
2025-08-26T19:45:32.1332470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-60-w
2025-08-26T19:45:32.1333660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vppp
2025-08-26T19:45:32.1335740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7
2025-08-26T19:45:32.1336360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-w-vt
2025-08-26T19:45:32.1337160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt200wpp
2025-08-26T19:45:32.1338290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260intpp
2025-08-26T19:45:32.1339500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m-s-7
2025-08-26T19:45:32.1340670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+c
2025-08-26T19:45:32.1342020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy60pp
2025-08-26T19:45:32.1342930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-42
2025-08-26T19:45:32.1344210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-50-nti
2025-08-26T19:45:32.1345340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news33
2025-08-26T19:45:32.1346550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-s
2025-08-26T19:45:32.1347650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7-c
2025-08-26T19:45:32.1348810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260intwpp
2025-08-26T19:45:32.1349920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-s-7
2025-08-26T19:45:32.1351070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-29
2025-08-26T19:45:32.1352270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7-m
2025-08-26T19:45:32.1353440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-a
2025-08-26T19:45:32.1354600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa-vt220
2025-08-26T19:45:32.1355740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-o
2025-08-26T19:45:32.1357030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr7900i
2025-08-26T19:45:32.1358140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nextshell
2025-08-26T19:45:32.1359390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncrvt100pp
2025-08-26T19:45:32.1360400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp512
2025-08-26T19:45:32.1361640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/northstar
2025-08-26T19:45:32.1362740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm
2025-08-26T19:45:32.1364160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt300wpp
2025-08-26T19:45:32.1365320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncrvt100wpp
2025-08-26T19:45:32.1366500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt100wpp
2025-08-26T19:45:32.1367680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nansi.sys
2025-08-26T19:45:32.1368810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build326
2025-08-26T19:45:32.1369980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp513-o
2025-08-26T19:45:32.1371050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp513
2025-08-26T19:45:32.1372070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp514
2025-08-26T19:45:32.1373300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole
2025-08-26T19:45:32.1374610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build343
2025-08-26T19:45:32.1375630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp513-a
2025-08-26T19:45:32.1376780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-33-euc
2025-08-26T19:45:32.1377890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/6053-dg
2025-08-26T19:45:32.1378930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/605x-dg
2025-08-26T19:45:32.1380010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/6053
2025-08-26T19:45:32.1381030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/605x
2025-08-26T19:45:32.1382200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/630MTG-24
2025-08-26T19:45:32.1383360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/630-lm
2025-08-26T19:45:32.1384430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/31/1178
2025-08-26T19:45:32.1385600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/31/1730-lm
2025-08-26T19:45:32.1386930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel62-w
2025-08-26T19:45:32.1388320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/emu-220
2025-08-26T19:45:32.1389200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/emu
2025-08-26T19:45:32.1390320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel62
2025-08-26T19:45:32.1391410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel64
2025-08-26T19:45:32.1392590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+italics
2025-08-26T19:45:32.1393720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ex155
2025-08-26T19:45:32.1394910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+sgr
2025-08-26T19:45:32.1396310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+strikeout
2025-08-26T19:45:32.1397530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel64-rv
2025-08-26T19:45:32.1398650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/elks-vt52
2025-08-26T19:45:32.1399740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ep4000
2025-08-26T19:45:32.1401070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+index
2025-08-26T19:45:32.1402250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ep48
2025-08-26T19:45:32.1403280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/elks-glasstty
2025-08-26T19:45:32.1404340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/emx-base
2025-08-26T19:45:32.1405560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+color
2025-08-26T19:45:32.1406710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ep40
2025-08-26T19:45:32.1407930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ep4080
2025-08-26T19:45:32.1408980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel62-rv
2025-08-26T19:45:32.1410150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/env230
2025-08-26T19:45:32.1411280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel64-w
2025-08-26T19:45:32.1412490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/envision230
2025-08-26T19:45:32.1413540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ergo4000
2025-08-26T19:45:32.1414600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/elks-ansi
2025-08-26T19:45:32.1415800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/esprit-am
2025-08-26T19:45:32.1416970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/emots
2025-08-26T19:45:32.1418100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/esprit
2025-08-26T19:45:32.1419180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/elks
2025-08-26T19:45:32.1420290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/eterm
2025-08-26T19:45:32.1421480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/exec80
2025-08-26T19:45:32.1422710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/eterm-color
2025-08-26T19:45:32.1423750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bct510a
2025-08-26T19:45:32.1424930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-pc-w-rv
2025-08-26T19:45:32.1426130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8
2025-08-26T19:45:32.1427550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-pc-nobold
2025-08-26T19:45:32.1428720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg2.0
2025-08-26T19:45:32.1429540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/b-128
2025-08-26T19:45:32.1432100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300
2025-08-26T19:45:32.1432690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-pc
2025-08-26T19:45:32.1433580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8-pc
2025-08-26T19:45:32.1434430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg3.10rv
2025-08-26T19:45:32.1435330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bee
2025-08-26T19:45:32.1436300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-w-8rv
2025-08-26T19:45:32.1437060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bh4
2025-08-26T19:45:32.1437980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beehiveIIIm
2025-08-26T19:45:32.1438900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-pc-m
2025-08-26T19:45:32.1439860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-pc-rv
2025-08-26T19:45:32.1440760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bracketed+paste
2025-08-26T19:45:32.1441690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-pc
2025-08-26T19:45:32.1442570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg3.10nv
2025-08-26T19:45:32.1443500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8-pc-w
2025-08-26T19:45:32.1444360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8rv
2025-08-26T19:45:32.1445230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-rv
2025-08-26T19:45:32.1446140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/basic4
2025-08-26T19:45:32.1447300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bct510d
2025-08-26T19:45:32.1448520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8w
2025-08-26T19:45:32.1449660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beehive
2025-08-26T19:45:32.1450780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-w
2025-08-26T19:45:32.1452060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg1.25nv
2025-08-26T19:45:32.1453150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg2.0nv
2025-08-26T19:45:32.1454220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bantam
2025-08-26T19:45:32.1455360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bobcat
2025-08-26T19:45:32.1456740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg3.10
2025-08-26T19:45:32.1458270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8-pc-rv
2025-08-26T19:45:32.1459270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bh3m
2025-08-26T19:45:32.1460400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bitgraph
2025-08-26T19:45:32.1461580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-w-rv
2025-08-26T19:45:32.1462730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bterm
2025-08-26T19:45:32.1464010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-pc-mono
2025-08-26T19:45:32.1465120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg1.25rv
2025-08-26T19:45:32.1466140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg2.0rv
2025-08-26T19:45:32.1467400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-sparc
2025-08-26T19:45:32.1468400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beehive4
2025-08-26T19:45:32.1469530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beehive3
2025-08-26T19:45:32.1470610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beterm
2025-08-26T19:45:32.1471920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/basis
2025-08-26T19:45:32.1472910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/blit
2025-08-26T19:45:32.1474250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-ppc
2025-08-26T19:45:32.1475270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg1.25
2025-08-26T19:45:32.1476500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8-pc-w-rv
2025-08-26T19:45:32.1477540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-pc-w
2025-08-26T19:45:32.1478630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beacon
2025-08-26T19:45:32.1479700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/37/730MTGr
2025-08-26T19:45:32.1480830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/37/730MTGr-24
2025-08-26T19:45:32.1481960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/37/730MTG-24
2025-08-26T19:45:32.1483320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/37/730MTG-41
2025-08-26T19:45:32.1484400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/37/730MTG-41r
2025-08-26T19:45:32.1485510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime314
2025-08-26T19:45:32.1486630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mosh
2025-08-26T19:45:32.1487840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mskermit227
2025-08-26T19:45:32.1488880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mouse-sun
2025-08-26T19:45:32.1489900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mai
2025-08-26T19:45:32.1491050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mterm-ansi
2025-08-26T19:45:32.1492210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mt70
2025-08-26T19:45:32.1493260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mod24
2025-08-26T19:45:32.1494380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime340
2025-08-26T19:45:32.1495530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/modgraph48
2025-08-26T19:45:32.1496630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgterm
2025-08-26T19:45:32.1497710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach-gnu-color
2025-08-26T19:45:32.1498800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/msk227
2025-08-26T19:45:32.1500000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-old
2025-08-26T19:45:32.1501160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mintty+common
2025-08-26T19:45:32.1502310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime-fb
2025-08-26T19:45:32.1503460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/masscomp
2025-08-26T19:45:32.1504570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/masscomp2
2025-08-26T19:45:32.1505660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mterm
2025-08-26T19:45:32.1506910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime2
2025-08-26T19:45:32.1507940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mvterm
2025-08-26T19:45:32.1509020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mt-70
2025-08-26T19:45:32.1510340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-old-am
2025-08-26T19:45:32.1511550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mrxvt-256color
2025-08-26T19:45:32.1512600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm2
2025-08-26T19:45:32.1513740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/macintosh
2025-08-26T19:45:32.1514950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/macterminal-w
2025-08-26T19:45:32.1516100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt100
2025-08-26T19:45:32.1517180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach-gnu
2025-08-26T19:45:32.1518350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mac-w
2025-08-26T19:45:32.1519530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/microterm5
2025-08-26T19:45:32.1520630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/m2-nam
2025-08-26T19:45:32.1521930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mskermit227am
2025-08-26T19:45:32.1522970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm3
2025-08-26T19:45:32.1524130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime2a-v
2025-08-26T19:45:32.1525190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime2a
2025-08-26T19:45:32.1526300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-1.7
2025-08-26T19:45:32.1527610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel2-80
2025-08-26T19:45:32.1528670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/modgraph2
2025-08-26T19:45:32.1529770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1-nb
2025-08-26T19:45:32.1530890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime-hb
2025-08-26T19:45:32.1531950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/msk227am
2025-08-26T19:45:32.1532960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mimeii
2025-08-26T19:45:32.1534290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1b-80
2025-08-26T19:45:32.1535520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/microbee
2025-08-26T19:45:32.1536720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mosh-256color
2025-08-26T19:45:32.1537800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm-direct
2025-08-26T19:45:32.1539190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt100-16color
2025-08-26T19:45:32.1540270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgr-linux
2025-08-26T19:45:32.1541630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mskermit22714
2025-08-26T19:45:32.1542880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mintty-direct
2025-08-26T19:45:32.1543980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mostlike
2025-08-26T19:45:32.1545120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgr-sun
2025-08-26T19:45:32.1546160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mac
2025-08-26T19:45:32.1547300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1
2025-08-26T19:45:32.1548400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgt
2025-08-26T19:45:32.1549690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime-3ax
2025-08-26T19:45:32.1550980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm-256color
2025-08-26T19:45:32.1552120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel12-80
2025-08-26T19:45:32.1553280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/modgraph
2025-08-26T19:45:32.1554290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgr
2025-08-26T19:45:32.1555680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/microterm
2025-08-26T19:45:32.1556830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm+pcfkeys
2025-08-26T19:45:32.1557940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/masscomp1
2025-08-26T19:45:32.1559140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach-color
2025-08-26T19:45:32.1560130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime1
2025-08-26T19:45:32.1561560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mm314
2025-08-26T19:45:32.1562300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime3a
2025-08-26T19:45:32.1563370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mm340
2025-08-26T19:45:32.1564600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mt4520-rv
2025-08-26T19:45:32.1565680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/megatek
2025-08-26T19:45:32.1566940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel-2-nam
2025-08-26T19:45:32.1568060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1b-nb
2025-08-26T19:45:32.1572490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel-2
2025-08-26T19:45:32.1572740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mono-emx
2025-08-26T19:45:32.1572970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime
2025-08-26T19:45:32.1573180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/msk22714
2025-08-26T19:45:32.1573410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mdl110
2025-08-26T19:45:32.1574560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mimei
2025-08-26T19:45:32.1575880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach
2025-08-26T19:45:32.1576990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime2a-s
2025-08-26T19:45:32.1578270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-1.5
2025-08-26T19:45:32.1579390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/microb
2025-08-26T19:45:32.1580500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/memhp
2025-08-26T19:45:32.1581570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mintty
2025-08-26T19:45:32.1582880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm
2025-08-26T19:45:32.1584080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt100-color
2025-08-26T19:45:32.1585350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-3.0
2025-08-26T19:45:32.1586480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime3ax
2025-08-26T19:45:32.1587700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt100+
2025-08-26T19:45:32.1588910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/morphos
2025-08-26T19:45:32.1590210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel
2025-08-26T19:45:32.1591430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix
2025-08-26T19:45:32.1592980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mod
2025-08-26T19:45:32.1594030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach-bold
2025-08-26T19:45:32.1595160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1b
2025-08-26T19:45:32.1596440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-terminal
2025-08-26T19:45:32.1597590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mrxvt
2025-08-26T19:45:32.1598850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt-utf8
2025-08-26T19:45:32.1600140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lisaterm-w
2025-08-26T19:45:32.1601240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux3.0
2025-08-26T19:45:32.1602580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux+sfkeys
2025-08-26T19:45:32.1603690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-m2
2025-08-26T19:45:32.1605240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/luna
2025-08-26T19:45:32.1606430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-lat
2025-08-26T19:45:32.1607450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/luna68k
2025-08-26T19:45:32.1608680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-koi8r
2025-08-26T19:45:32.1609890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/la120
2025-08-26T19:45:32.1611070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lft-pc850
2025-08-26T19:45:32.1612150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux2.2
2025-08-26T19:45:32.1613270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-s
2025-08-26T19:45:32.1614440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux+decid
2025-08-26T19:45:32.1615630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lisaterm
2025-08-26T19:45:32.1616930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-16color
2025-08-26T19:45:32.1617870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/ln03
2025-08-26T19:45:32.1618940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/ln03-w
2025-08-26T19:45:32.1620070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-vt
2025-08-26T19:45:32.1621180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/layer
2025-08-26T19:45:32.1622370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux+kbs
2025-08-26T19:45:32.1623550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-basic
2025-08-26T19:45:32.1624500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lisa
2025-08-26T19:45:32.1625960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux
2025-08-26T19:45:32.1626670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-m1
2025-08-26T19:45:32.1628050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-c-nc
2025-08-26T19:45:32.1629040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/liswb
2025-08-26T19:45:32.1629880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lft
2025-08-26T19:45:32.1630800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-m1b
2025-08-26T19:45:32.1631760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux2.6
2025-08-26T19:45:32.1632650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux2.6.26
2025-08-26T19:45:32.1633450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-c
2025-08-26T19:45:32.1634310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-m
2025-08-26T19:45:32.1635270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-nic
2025-08-26T19:45:32.1636170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-koi8
2025-08-26T19:45:32.1637040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lpr
2025-08-26T19:45:32.1637870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/39/955-w
2025-08-26T19:45:32.1638690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/39/9term
2025-08-26T19:45:32.1639570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/39/955-hb
2025-08-26T19:45:32.1640500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108-4p
2025-08-26T19:45:32.1641560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/coco3
2025-08-26T19:45:32.1642360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-6lpi
2025-08-26T19:45:32.1643180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cx100
2025-08-26T19:45:32.1644020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c321
2025-08-26T19:45:32.1644870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit80
2025-08-26T19:45:32.1645740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50
2025-08-26T19:45:32.1646620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cops-10
2025-08-26T19:45:32.1647630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept-avt
2025-08-26T19:45:32.1648470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50r
2025-08-26T19:45:32.1649410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept100-rv
2025-08-26T19:45:32.1650240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60
2025-08-26T19:45:32.1651080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cci1
2025-08-26T19:45:32.1651980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/coherent
2025-08-26T19:45:32.1652850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cad68-2
2025-08-26T19:45:32.1654060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cyb83
2025-08-26T19:45:32.1654780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50-koi8r
2025-08-26T19:45:32.1655560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cbunix
2025-08-26T19:45:32.1656510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-rv
2025-08-26T19:45:32.1657390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-8p
2025-08-26T19:45:32.1658200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cs10-w
2025-08-26T19:45:32.1659380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60l1
2025-08-26T19:45:32.1660110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cad68-3
2025-08-26T19:45:32.1661010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citc
2025-08-26T19:45:32.1661880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-rv-8p
2025-08-26T19:45:32.1662800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108-w8p
2025-08-26T19:45:32.1663700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-ps
2025-08-26T19:45:32.1664650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100-4p
2025-08-26T19:45:32.1665910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101e-n132
2025-08-26T19:45:32.1666990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contel320
2025-08-26T19:45:32.1668240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-koi8r-m
2025-08-26T19:45:32.1669260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ct82
2025-08-26T19:45:32.1670490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ct8500
2025-08-26T19:45:32.1671550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cops
2025-08-26T19:45:32.1672730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept100
2025-08-26T19:45:32.1673870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contel321
2025-08-26T19:45:32.1675030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-8lpi
2025-08-26T19:45:32.1676200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60-m
2025-08-26T19:45:32.1677330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25w
2025-08-26T19:45:32.1678500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cbblit
2025-08-26T19:45:32.1679620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108
2025-08-26T19:45:32.1680830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60r
2025-08-26T19:45:32.1681840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ctrm
2025-08-26T19:45:32.1682960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contour
2025-08-26T19:45:32.1684110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101e-rv
2025-08-26T19:45:32.1685670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100-rv-4p
2025-08-26T19:45:32.1686910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ci8510
2025-08-26T19:45:32.1688130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60-koi8r-m
2025-08-26T19:45:32.1689180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50-iso-m
2025-08-26T19:45:32.1690440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/commodore
2025-08-26T19:45:32.1691470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108
2025-08-26T19:45:32.1692690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons43
2025-08-26T19:45:32.1693750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50-iso8859
2025-08-26T19:45:32.1694780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101
2025-08-26T19:45:32.1695970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons30-m
2025-08-26T19:45:32.1697110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60l1-m
2025-08-26T19:45:32.1698140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100
2025-08-26T19:45:32.1699420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc752
2025-08-26T19:45:32.1700360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit500
2025-08-26T19:45:32.1701550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cgc2
2025-08-26T19:45:32.1702670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cg7900
2025-08-26T19:45:32.1703940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cygwinDBG
2025-08-26T19:45:32.1705100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/chromatics
2025-08-26T19:45:32.1706290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50l1-m
2025-08-26T19:45:32.1707490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/colorscan
2025-08-26T19:45:32.1708660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ca22851
2025-08-26T19:45:32.1709910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60-koi8r
2025-08-26T19:45:32.1711050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc721
2025-08-26T19:45:32.1712220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101e-n
2025-08-26T19:45:32.1713350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cgc3
2025-08-26T19:45:32.1714390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-w
2025-08-26T19:45:32.1715650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108-8p
2025-08-26T19:45:32.1716790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cs10
2025-08-26T19:45:32.1717880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-m
2025-08-26T19:45:32.1719030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons30
2025-08-26T19:45:32.1720170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept
2025-08-26T19:45:32.1721500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh
2025-08-26T19:45:32.1722690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-pica
2025-08-26T19:45:32.1723780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60-iso
2025-08-26T19:45:32.1724860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contel300
2025-08-26T19:45:32.1726040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-rv-4p
2025-08-26T19:45:32.1727240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-4p
2025-08-26T19:45:32.1728430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-elite
2025-08-26T19:45:32.1729590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contour-direct
2025-08-26T19:45:32.1730600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cops10
2025-08-26T19:45:32.1731750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101e
2025-08-26T19:45:32.1732810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contel301
2025-08-26T19:45:32.1733950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-comp
2025-08-26T19:45:32.1735020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50-m
2025-08-26T19:45:32.1736280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100-1p
2025-08-26T19:45:32.1737420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100-rv
2025-08-26T19:45:32.1738540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc456
2025-08-26T19:45:32.1739730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit-80
2025-08-26T19:45:32.1741020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-iso-m
2025-08-26T19:45:32.1742250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60-iso-m
2025-08-26T19:45:32.1743300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cx
2025-08-26T19:45:32.1744380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25r
2025-08-26T19:45:32.1745580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-debian
2025-08-26T19:45:32.1746610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/crt
2025-08-26T19:45:32.1747830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-w-8p
2025-08-26T19:45:32.1748810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons43-m
2025-08-26T19:45:32.1749980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/crt-vt220
2025-08-26T19:45:32.1751260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc721-esc
2025-08-26T19:45:32.1752480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cygwinB19
2025-08-26T19:45:32.1753640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25l1-m
2025-08-26T19:45:32.1754900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/color_xterm
2025-08-26T19:45:32.1755960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50l1
2025-08-26T19:45:32.1757150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-prop
2025-08-26T19:45:32.1758540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50-koi8r-m
2025-08-26T19:45:32.1759780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-koi8-r
2025-08-26T19:45:32.1760680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c301
2025-08-26T19:45:32.1761810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cyb110
2025-08-26T19:45:32.1763090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-iso8859
2025-08-26T19:45:32.1764270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108-w-8
2025-08-26T19:45:32.1765530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60r-m
2025-08-26T19:45:32.1766600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c300
2025-08-26T19:45:32.1767740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25
2025-08-26T19:45:32.1768790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cygwin
2025-08-26T19:45:32.1770030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contour-latest
2025-08-26T19:45:32.1770980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc721ll
2025-08-26T19:45:32.1772260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25r-m
2025-08-26T19:45:32.1773290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c104
2025-08-26T19:45:32.1774450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc756
2025-08-26T19:45:32.1775710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101e-132
2025-08-26T19:45:32.1776960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50r-m
2025-08-26T19:45:32.1777970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cci
2025-08-26T19:45:32.1779300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108rv4p
2025-08-26T19:45:32.1780500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25l1
2025-08-26T19:45:32.1781770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/digilog
2025-08-26T19:45:32.1782910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmd-34
2025-08-26T19:45:32.1783990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmdt80
2025-08-26T19:45:32.1785050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d410-7b-w
2025-08-26T19:45:32.1786130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d555-7b-w
2025-08-26T19:45:32.1787300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d132
2025-08-26T19:45:32.1788620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d230c
2025-08-26T19:45:32.1790070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7102-sna
2025-08-26T19:45:32.1791120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/delta
2025-08-26T19:45:32.1792170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d217-dg
2025-08-26T19:45:32.1793390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7103-sna
2025-08-26T19:45:32.1794610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix
2025-08-26T19:45:32.1795830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7003-dumb
2025-08-26T19:45:32.1796920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d577-7b
2025-08-26T19:45:32.1797930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmchat
2025-08-26T19:45:32.1799790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-128x48-m
2025-08-26T19:45:32.1800910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec-vt220
2025-08-26T19:45:32.1802270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-w-ccc
2025-08-26T19:45:32.1803470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm3025
2025-08-26T19:45:32.1804540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462+s
2025-08-26T19:45:32.1805540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dw1
2025-08-26T19:45:32.1806730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216-unix-25
2025-08-26T19:45:32.1807870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462+25
2025-08-26T19:45:32.1809010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-unix-w
2025-08-26T19:45:32.1810240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-144x48-m
2025-08-26T19:45:32.1811510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec-vt330
2025-08-26T19:45:32.1812620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d578-dg
2025-08-26T19:45:32.1813810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/datapoint
2025-08-26T19:45:32.1814910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d211
2025-08-26T19:45:32.1816070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462e-dg
2025-08-26T19:45:32.1817070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412+
2025-08-26T19:45:32.1818450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-25
2025-08-26T19:45:32.1819460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt80
2025-08-26T19:45:32.1820760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-s-ccc
2025-08-26T19:45:32.1821950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d220
2025-08-26T19:45:32.1823050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d463-unix-w
2025-08-26T19:45:32.1823930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dialogue80
2025-08-26T19:45:32.1824850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-25
2025-08-26T19:45:32.1825660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dumb
2025-08-26T19:45:32.1826650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-sr-ccc
2025-08-26T19:45:32.1827530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg-generic
2025-08-26T19:45:32.1828440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d217-unix-25
2025-08-26T19:45:32.1829290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7003
2025-08-26T19:45:32.1830390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d464-unix-25
2025-08-26T19:45:32.1831340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-112x37-m
2025-08-26T19:45:32.1832190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412+25
2025-08-26T19:45:32.1833120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1720
2025-08-26T19:45:32.1833930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d470
2025-08-26T19:45:32.1834850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d413-unix-s
2025-08-26T19:45:32.1835800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462-unix-s
2025-08-26T19:45:32.1836640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/decpro
2025-08-26T19:45:32.1837500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d210
2025-08-26T19:45:32.1838410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/datagraphix
2025-08-26T19:45:32.1839270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216-dg
2025-08-26T19:45:32.1840210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d414-unix-sr
2025-08-26T19:45:32.1841290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-80x25-m
2025-08-26T19:45:32.1842110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d411-7b-w
2025-08-26T19:45:32.1843060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-ccc
2025-08-26T19:45:32.1844000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-sr
2025-08-26T19:45:32.1844880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec-vt340
2025-08-26T19:45:32.1845760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmdt80w
2025-08-26T19:45:32.1846910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dumb-emacs-ansi
2025-08-26T19:45:32.1848020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm80w
2025-08-26T19:45:32.1849010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d577-dg
2025-08-26T19:45:32.1850130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgkeys+11
2025-08-26T19:45:32.1851260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/datamedia2500
2025-08-26T19:45:32.1852400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dtc382
2025-08-26T19:45:32.1853690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d461-w
2025-08-26T19:45:32.1854870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7102-old
2025-08-26T19:45:32.1856040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-m
2025-08-26T19:45:32.1857090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216-unix
2025-08-26T19:45:32.1858090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d413-dg
2025-08-26T19:45:32.1859300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d461-7b-w
2025-08-26T19:45:32.1860370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-s
2025-08-26T19:45:32.1861590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-sr
2025-08-26T19:45:32.1862710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg+color8
2025-08-26T19:45:32.1863840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/djgpp
2025-08-26T19:45:32.1865020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-112x37
2025-08-26T19:45:32.1866210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216e-dg
2025-08-26T19:45:32.1867350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d414-unix-25
2025-08-26T19:45:32.1868530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/ddr3180
2025-08-26T19:45:32.1869620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgkeys+7b
2025-08-26T19:45:32.1870830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462-dg
2025-08-26T19:45:32.1872060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-dg-ccc
2025-08-26T19:45:32.1873540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-sr-ccc
2025-08-26T19:45:32.1874680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d400
2025-08-26T19:45:32.1875730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-dg
2025-08-26T19:45:32.1876910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412+sr
2025-08-26T19:45:32.1878120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-b
2025-08-26T19:45:32.1879300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d464-unix-sr
2025-08-26T19:45:32.1880490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgmode+color8
2025-08-26T19:45:32.1881600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix
2025-08-26T19:45:32.1882670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt110
2025-08-26T19:45:32.1883970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-ccc
2025-08-26T19:45:32.1885190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg-ansi
2025-08-26T19:45:32.1886320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg+fixed
2025-08-26T19:45:32.1887550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmd
2025-08-26T19:45:32.1888640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt-100w
2025-08-26T19:45:32.1889800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1640
2025-08-26T19:45:32.1890950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-128x40
2025-08-26T19:45:32.1892020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d463-dg
2025-08-26T19:45:32.1893220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dataspeed40
2025-08-26T19:45:32.1894300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412+w
2025-08-26T19:45:32.1895440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dd5000
2025-08-26T19:45:32.1896570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec-vt400
2025-08-26T19:45:32.1897620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dp3360
2025-08-26T19:45:32.1898890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg6053-old
2025-08-26T19:45:32.1899810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg210
2025-08-26T19:45:32.1901080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-200x64-m
2025-08-26T19:45:32.1902190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d464-unix-s
2025-08-26T19:45:32.1903560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-128x48
2025-08-26T19:45:32.1904700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-200x64
2025-08-26T19:45:32.1905720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmterm
2025-08-26T19:45:32.1907020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462+
2025-08-26T19:45:32.1908080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo-lm
2025-08-26T19:45:32.1909180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/decansi
2025-08-26T19:45:32.1910210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d460-7b-w
2025-08-26T19:45:32.1911420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-w
2025-08-26T19:45:32.1912510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216+25
2025-08-26T19:45:32.1913670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-m-b
2025-08-26T19:45:32.1914780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d217-unix
2025-08-26T19:45:32.1915870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d578-7b
2025-08-26T19:45:32.1916940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462+sr
2025-08-26T19:45:32.1918030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/ds40-2
2025-08-26T19:45:32.1919150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg211
2025-08-26T19:45:32.1920350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt80w
2025-08-26T19:45:32.1921400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-dg
2025-08-26T19:45:32.1922730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d414-unix-w
2025-08-26T19:45:32.1923780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d410-w
2025-08-26T19:45:32.1924970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d230c-dg
2025-08-26T19:45:32.1925970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d80
2025-08-26T19:45:32.1927070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dw3
2025-08-26T19:45:32.1928230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-90x30
2025-08-26T19:45:32.1929660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt-100
2025-08-26T19:45:32.1930450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg+ccc
2025-08-26T19:45:32.1931450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dw4
2025-08-26T19:45:32.1932600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dwk-vt
2025-08-26T19:45:32.1933660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d460-dg
2025-08-26T19:45:32.1934850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-90x30-m
2025-08-26T19:45:32.1936090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgunix+fixed
2025-08-26T19:45:32.1937210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dialogue
2025-08-26T19:45:32.1938330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d555-dg
2025-08-26T19:45:32.1939520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg450
2025-08-26T19:45:32.1940680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d555
2025-08-26T19:45:32.1941670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d470-dg
2025-08-26T19:45:32.1942880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm3045
2025-08-26T19:45:32.1943880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm1520
2025-08-26T19:45:32.1945040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/decwriter
2025-08-26T19:45:32.1946120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-100x37
2025-08-26T19:45:32.1947420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-80x30
2025-08-26T19:45:32.1948540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d460-w
2025-08-26T19:45:32.1949610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm2500
2025-08-26T19:45:32.1950890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-unix
2025-08-26T19:45:32.1951970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d215-7b
2025-08-26T19:45:32.1952950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216+
2025-08-26T19:45:32.1954120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d470c-7b
2025-08-26T19:45:32.1955380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1620-m8
2025-08-26T19:45:32.1956580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt80-sas
2025-08-26T19:45:32.1957670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462+w
2025-08-26T19:45:32.1958940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d450-dg
2025-08-26T19:45:32.1960120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-unix-sr
2025-08-26T19:45:32.1961210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-200x75
2025-08-26T19:45:32.1962480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-256x96
2025-08-26T19:45:32.1963430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dw2
2025-08-26T19:45:32.1964520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg605x
2025-08-26T19:45:32.1965770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-200x75-m
2025-08-26T19:45:32.1966900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgmode+color
2025-08-26T19:45:32.1967910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d2-dg
2025-08-26T19:45:32.1968920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d411-dg
2025-08-26T19:45:32.1970120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmd1
2025-08-26T19:45:32.1971130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm1521
2025-08-26T19:45:32.1972430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-25-ccc
2025-08-26T19:45:32.1973560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dwk
2025-08-26T19:45:32.1974720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg6053
2025-08-26T19:45:32.1975960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-128x40-m
2025-08-26T19:45:32.1977120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo
2025-08-26T19:45:32.1978170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d211-7b
2025-08-26T19:45:32.1979400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg200
2025-08-26T19:45:32.1980530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg+color
2025-08-26T19:45:32.1981700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462-unix-25
2025-08-26T19:45:32.1982740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dtterm
2025-08-26T19:45:32.1984130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-160x64
2025-08-26T19:45:32.1985340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dvtm-256color
2025-08-26T19:45:32.1986450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dp8242
2025-08-26T19:45:32.1987540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d400-dg
2025-08-26T19:45:32.1988700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d410
2025-08-26T19:45:32.1989870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d413-unix-sr
2025-08-26T19:45:32.1990970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1740
2025-08-26T19:45:32.1992240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-100x37-m
2025-08-26T19:45:32.1993670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-unix-s
2025-08-26T19:45:32.1994810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d410-dg
2025-08-26T19:45:32.1995930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216+dg
2025-08-26T19:45:32.1997040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d215
2025-08-26T19:45:32.1998280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d463-unix-25
2025-08-26T19:45:32.1999320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt100
2025-08-26T19:45:32.2000520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d464-unix
2025-08-26T19:45:32.2001750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec+pp
2025-08-26T19:45:32.2002770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d463-unix-s
2025-08-26T19:45:32.2003820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d411
2025-08-26T19:45:32.2004950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d413-unix
2025-08-26T19:45:32.2006160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1640-m8
2025-08-26T19:45:32.2007160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d2
2025-08-26T19:45:32.2008330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216e+
2025-08-26T19:45:32.2009410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dw
2025-08-26T19:45:32.2010690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d461-dg
2025-08-26T19:45:32.2011830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dvtm
2025-08-26T19:45:32.2012920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-dg
2025-08-26T19:45:32.2014020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec+sl
2025-08-26T19:45:32.2015210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7202
2025-08-26T19:45:32.2016450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-256x96-m
2025-08-26T19:45:32.2017500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d555-w
2025-08-26T19:45:32.2018450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d411-w
2025-08-26T19:45:32.2019540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d413-unix-w
2025-08-26T19:45:32.2020740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462-unix-w
2025-08-26T19:45:32.2021800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgunix+ccc
2025-08-26T19:45:32.2023020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d220-7b
2025-08-26T19:45:32.2024080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec-vt100
2025-08-26T19:45:32.2025180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d214
2025-08-26T19:45:32.2026340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo630
2025-08-26T19:45:32.2027650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d463-unix
2025-08-26T19:45:32.2028750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d800
2025-08-26T19:45:32.2029920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt100w
2025-08-26T19:45:32.2030980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216e+dg
2025-08-26T19:45:32.2031930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d460
2025-08-26T19:45:32.2033160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1730
2025-08-26T19:45:32.2034250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d200
2025-08-26T19:45:32.2035330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/ddr
2025-08-26T19:45:32.2036610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d463-unix-sr
2025-08-26T19:45:32.2037870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-w
2025-08-26T19:45:32.2038980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-f2
2025-08-26T19:45:32.2040110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin
2025-08-26T19:45:32.2041100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d470c-dg
2025-08-26T19:45:32.2042220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462+dg
2025-08-26T19:45:32.2043270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/djgpp203
2025-08-26T19:45:32.2044420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/djgpp204
2025-08-26T19:45:32.2045440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d211-dg
2025-08-26T19:45:32.2046630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg6134
2025-08-26T19:45:32.2047910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d411-7b
2025-08-26T19:45:32.2048940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm80
2025-08-26T19:45:32.2050190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d413-unix-25
2025-08-26T19:45:32.2051460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-w-ccc
2025-08-26T19:45:32.2052710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgkeys+15
2025-08-26T19:45:32.2053930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d577-7b-w
2025-08-26T19:45:32.2054940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d450
2025-08-26T19:45:32.2056180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-f
2025-08-26T19:45:32.2057320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-80x30-m
2025-08-26T19:45:32.2058510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d460-7b
2025-08-26T19:45:32.2059510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg100
2025-08-26T19:45:32.2060570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d461
2025-08-26T19:45:32.2061890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1640-lm
2025-08-26T19:45:32.2062920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d230
2025-08-26T19:45:32.2064120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-144x48
2025-08-26T19:45:32.2065460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d215-dg
2025-08-26T19:45:32.2066610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgkeys+8b
2025-08-26T19:45:32.2067650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo450
2025-08-26T19:45:32.2068720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d470-7b
2025-08-26T19:45:32.2069770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/domterm
2025-08-26T19:45:32.2070940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d470c
2025-08-26T19:45:32.2072120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d414-unix
2025-08-26T19:45:32.2073160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d555-7b
2025-08-26T19:45:32.2074320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216e-unix
2025-08-26T19:45:32.2075390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-80x25
2025-08-26T19:45:32.2076860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d461-7b
2025-08-26T19:45:32.2078060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-25-ccc
2025-08-26T19:45:32.2079130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-dg-ccc
2025-08-26T19:45:32.2080310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d577-w
2025-08-26T19:45:32.2081420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-160x64-m
2025-08-26T19:45:32.2082470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d578
2025-08-26T19:45:32.2083620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d230-dg
2025-08-26T19:45:32.2084700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dtc300s
2025-08-26T19:45:32.2085840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg460-ansi
2025-08-26T19:45:32.2086960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d464-unix-w
2025-08-26T19:45:32.2088000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/ds40
2025-08-26T19:45:32.2089290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412+dg
2025-08-26T19:45:32.2090270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d214-dg
2025-08-26T19:45:32.2091400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d220-dg
2025-08-26T19:45:32.2092630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1740-lm
2025-08-26T19:45:32.2093840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412+s
2025-08-26T19:45:32.2095040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/decid+cpr
2025-08-26T19:45:32.2096010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmd-24
2025-08-26T19:45:32.2097170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-m-f2
2025-08-26T19:45:32.2098500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-s-ccc
2025-08-26T19:45:32.2099840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d414-unix-s
2025-08-26T19:45:32.2100920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1620
2025-08-26T19:45:32.2102280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d200-dg
2025-08-26T19:45:32.2103160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d577
2025-08-26T19:45:32.2104420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462-unix-sr
2025-08-26T19:45:32.2105560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d210-dg
2025-08-26T19:45:32.2106830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-s
2025-08-26T19:45:32.2107930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-m-f
2025-08-26T19:45:32.2109150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-unix-25
2025-08-26T19:45:32.2110160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d410-7b
2025-08-26T19:45:32.2111350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462-unix
2025-08-26T19:45:32.2112370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7102
2025-08-26T19:45:32.2113610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/41/Apple_Terminal
2025-08-26T19:45:32.2114790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-42
2025-08-26T19:45:32.2116260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-epc-w
2025-08-26T19:45:32.2117360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-48wpc
2025-08-26T19:45:32.2118510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse99gt-25
2025-08-26T19:45:32.2119560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy75-mc
2025-08-26T19:45:32.2120640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-w
2025-08-26T19:45:32.2121840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-25-w
2025-08-26T19:45:32.2123010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-w-vb
2025-08-26T19:45:32.2124090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-42wvb
2025-08-26T19:45:32.2125220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-w
2025-08-26T19:45:32.2126360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy75-wvb
2025-08-26T19:45:32.2127580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-42-w
2025-08-26T19:45:32.2128680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-wvb
2025-08-26T19:45:32.2129830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy50-vb
2025-08-26T19:45:32.2130960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150-25
2025-08-26T19:45:32.2132100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-w
2025-08-26T19:45:32.2133270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-43-w
2025-08-26T19:45:32.2134390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120-25
2025-08-26T19:45:32.2135500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-wvb
2025-08-26T19:45:32.2136720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-43
2025-08-26T19:45:32.2137790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse75ap
2025-08-26T19:45:32.2138980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-w-vb
2025-08-26T19:45:32.2140050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy75
2025-08-26T19:45:32.2141050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy30-mc
2025-08-26T19:45:32.2142120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-vb
2025-08-26T19:45:32.2143190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-36pc
2025-08-26T19:45:32.2144610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-36w
2025-08-26T19:45:32.2145580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-316X
2025-08-26T19:45:32.2146760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-epc-vb
2025-08-26T19:45:32.2147880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-25
2025-08-26T19:45:32.2149150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse120-25
2025-08-26T19:45:32.2150090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-w
2025-08-26T19:45:32.2151140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-AT
2025-08-26T19:45:32.2152140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse370
2025-08-26T19:45:32.2153180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy100
2025-08-26T19:45:32.2154660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse85-vb
2025-08-26T19:45:32.2155630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse350-w
2025-08-26T19:45:32.2156800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy30-vb
2025-08-26T19:45:32.2157990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-25
2025-08-26T19:45:32.2159170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-w
2025-08-26T19:45:32.2160140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy350
2025-08-26T19:45:32.2161150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse120
2025-08-26T19:45:32.2162230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse50
2025-08-26T19:45:32.2163370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325w-24
2025-08-26T19:45:32.2164580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-42w
2025-08-26T19:45:32.2165740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-wvb
2025-08-26T19:45:32.2166910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520
2025-08-26T19:45:32.2168120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse75-wvb
2025-08-26T19:45:32.2169290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy75-vb
2025-08-26T19:45:32.2170410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-25-w
2025-08-26T19:45:32.2175600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-48w
2025-08-26T19:45:32.2175820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-43wvb
2025-08-26T19:45:32.2176510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120-w
2025-08-26T19:45:32.2176710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150-w
2025-08-26T19:45:32.2176910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy50-mc
2025-08-26T19:45:32.2177420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150-25
2025-08-26T19:45:32.2178620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325
2025-08-26T19:45:32.2179840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-wvb
2025-08-26T19:45:32.2181110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-epc
2025-08-26T19:45:32.2182150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-vb
2025-08-26T19:45:32.2183290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60
2025-08-26T19:45:32.2184460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-25
2025-08-26T19:45:32.2185700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-25-w
2025-08-26T19:45:32.2186970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wsvt25
2025-08-26T19:45:32.2188060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150-vb
2025-08-26T19:45:32.2189220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/winconsole
2025-08-26T19:45:32.2190240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150
2025-08-26T19:45:32.2191440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-43
2025-08-26T19:45:32.2192660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wrenw
2025-08-26T19:45:32.2193860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-42w-vb
2025-08-26T19:45:32.2195000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse75
2025-08-26T19:45:32.2196220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy75ap
2025-08-26T19:45:32.2197580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-wvb
2025-08-26T19:45:32.2198760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse185-w
2025-08-26T19:45:32.2200040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-43-w
2025-08-26T19:45:32.2201520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-vb
2025-08-26T19:45:32.2202780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy185
2025-08-26T19:45:32.2203990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wezterm
2025-08-26T19:45:32.2205100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-42
2025-08-26T19:45:32.2206460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse99gt-w
2025-08-26T19:45:32.2207780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-316X
2025-08-26T19:45:32.2208910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160
2025-08-26T19:45:32.2210200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse120-vb
2025-08-26T19:45:32.2211200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wsvt25m
2025-08-26T19:45:32.2212600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-36w
2025-08-26T19:45:32.2213930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-43w-vb
2025-08-26T19:45:32.2215070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy-99fgt
2025-08-26T19:45:32.2216300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-epc-wvb
2025-08-26T19:45:32.2217760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-vb
2025-08-26T19:45:32.2218780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy50
2025-08-26T19:45:32.2219950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-25
2025-08-26T19:45:32.2220900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-w
2025-08-26T19:45:32.2221950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-PC
2025-08-26T19:45:32.2222730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-42-w
2025-08-26T19:45:32.2223620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120-vb
2025-08-26T19:45:32.2224580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-42w
2025-08-26T19:45:32.2225450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-80
2025-08-26T19:45:32.2226330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-w
2025-08-26T19:45:32.2227340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-42
2025-08-26T19:45:32.2228240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-48w
2025-08-26T19:45:32.2229130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-w-vb
2025-08-26T19:45:32.2229970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99fa
2025-08-26T19:45:32.2230890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wren
2025-08-26T19:45:32.2231790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150-vb
2025-08-26T19:45:32.2232780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-epc-24
2025-08-26T19:45:32.2233670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-wvb
2025-08-26T19:45:32.2234510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy100q
2025-08-26T19:45:32.2235430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse99gt-wvb
2025-08-26T19:45:32.2236300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse-75ap
2025-08-26T19:45:32.2237130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60
2025-08-26T19:45:32.2238160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-epc
2025-08-26T19:45:32.2239030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse99gt-vb
2025-08-26T19:45:32.2239930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-43
2025-08-26T19:45:32.2240800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-36pc
2025-08-26T19:45:32.2241710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-36wpc
2025-08-26T19:45:32.2242550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wsiris
2025-08-26T19:45:32.2243450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120-w-vb
2025-08-26T19:45:32.2244460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-wvb
2025-08-26T19:45:32.2245390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-vb
2025-08-26T19:45:32.2246240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy-75ap
2025-08-26T19:45:32.2247100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse50-w
2025-08-26T19:45:32.2248010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-42
2025-08-26T19:45:32.2248890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy350-vb
2025-08-26T19:45:32.2249920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse75-w
2025-08-26T19:45:32.2250770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt
2025-08-26T19:45:32.2251590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy85
2025-08-26T19:45:32.2252500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-48
2025-08-26T19:45:32.2253460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse85-8bit
2025-08-26T19:45:32.2254370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150-w-vb
2025-08-26T19:45:32.2255290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-48pc
2025-08-26T19:45:32.2256190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-tek
2025-08-26T19:45:32.2257100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-42-w
2025-08-26T19:45:32.2257980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99-ansi
2025-08-26T19:45:32.2258890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-wvb
2025-08-26T19:45:32.2259780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-vb
2025-08-26T19:45:32.2260880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-25
2025-08-26T19:45:32.2261660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse-325
2025-08-26T19:45:32.2262570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy185-wvb
2025-08-26T19:45:32.2263420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-43w
2025-08-26T19:45:32.2264290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-PC
2025-08-26T19:45:32.2265230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy185-vb
2025-08-26T19:45:32.2266130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy350-wvb
2025-08-26T19:45:32.2267020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-105k
2025-08-26T19:45:32.2267890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-24
2025-08-26T19:45:32.2268850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-43
2025-08-26T19:45:32.2269710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-25w
2025-08-26T19:45:32.2270740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-25-w
2025-08-26T19:45:32.2271680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150
2025-08-26T19:45:32.2272540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-pc-24
2025-08-26T19:45:32.2273460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse120-25-w
2025-08-26T19:45:32.2274340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-48
2025-08-26T19:45:32.2275250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-nk
2025-08-26T19:45:32.2276120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy185-w
2025-08-26T19:45:32.2277030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-24
2025-08-26T19:45:32.2278140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-43
2025-08-26T19:45:32.2278900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99f
2025-08-26T19:45:32.2279790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99fgt
2025-08-26T19:45:32.2280680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse185-vb
2025-08-26T19:45:32.2281520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy85-w
2025-08-26T19:45:32.2282440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-43-w
2025-08-26T19:45:32.2283360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse120-wvb
2025-08-26T19:45:32.2284480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160
2025-08-26T19:45:32.2285140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-vb
2025-08-26T19:45:32.2286050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-36wpc
2025-08-26T19:45:32.2286940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150-25-w
2025-08-26T19:45:32.2287930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99a-ansi
2025-08-26T19:45:32.2288790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse30
2025-08-26T19:45:32.2289750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-w-vb
2025-08-26T19:45:32.2290660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse350-vb
2025-08-26T19:45:32.2291620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse185
2025-08-26T19:45:32.2292410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-42
2025-08-26T19:45:32.2293250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy50-w
2025-08-26T19:45:32.2294180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-vb
2025-08-26T19:45:32.2295100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-p-wvb
2025-08-26T19:45:32.2296040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse185-24
2025-08-26T19:45:32.2297020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120-25-w
2025-08-26T19:45:32.2297810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-wvb
2025-08-26T19:45:32.2298710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-36
2025-08-26T19:45:32.2299580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse75-vb
2025-08-26T19:45:32.2300460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse350
2025-08-26T19:45:32.2301330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120
2025-08-26T19:45:32.2302240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy75-w
2025-08-26T19:45:32.2303190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-pc-vb
2025-08-26T19:45:32.2304120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-48wpc
2025-08-26T19:45:32.2304970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse120-w
2025-08-26T19:45:32.2305900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-epc-w
2025-08-26T19:45:32.2306740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150-w
2025-08-26T19:45:32.2307640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse50-mc
2025-08-26T19:45:32.2308550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse99gt
2025-08-26T19:45:32.2309620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse50-wvb
2025-08-26T19:45:32.2310440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-25
2025-08-26T19:45:32.2311270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370
2025-08-26T19:45:32.2312190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-43-w
2025-08-26T19:45:32.2313080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-tek
2025-08-26T19:45:32.2314000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-AT
2025-08-26T19:45:32.2315070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-wvb
2025-08-26T19:45:32.2316040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse85-wvb
2025-08-26T19:45:32.2316890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150-25-w
2025-08-26T19:45:32.2317770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy85-vb
2025-08-26T19:45:32.2318640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy350-w
2025-08-26T19:45:32.2319520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-42-w
2025-08-26T19:45:32.2320400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy85-8bit
2025-08-26T19:45:32.2321390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325
2025-08-26T19:45:32.2322440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse85
2025-08-26T19:45:32.2323170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-25w
2025-08-26T19:45:32.2324020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-w
2025-08-26T19:45:32.2324900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520
2025-08-26T19:45:32.2325780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse30-vb
2025-08-26T19:45:32.2326770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse350-wvb
2025-08-26T19:45:32.2327800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse185-wvb
2025-08-26T19:45:32.2328840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-43w
2025-08-26T19:45:32.2329940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-43
2025-08-26T19:45:32.2331080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy85-wvb
2025-08-26T19:45:32.2332430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120-wvb
2025-08-26T19:45:32.2333570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse30-mc
2025-08-26T19:45:32.2334610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse85-w
2025-08-26T19:45:32.2335680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-vb
2025-08-26T19:45:32.2336860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-101k
2025-08-26T19:45:32.2337940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse+sl
2025-08-26T19:45:32.2339020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99fgta
2025-08-26T19:45:32.2340000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse-vp
2025-08-26T19:45:32.2341040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy30
2025-08-26T19:45:32.2342390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-48pc
2025-08-26T19:45:32.2343510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-36
2025-08-26T19:45:32.2344620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150-w-vb
2025-08-26T19:45:32.2345830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy185-24
2025-08-26T19:45:32.2346940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-42
2025-08-26T19:45:32.2348070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-tek
2025-08-26T19:45:32.2349040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-w
2025-08-26T19:45:32.2350220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse75-mc
2025-08-26T19:45:32.2351300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-vb
2025-08-26T19:45:32.2352480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-25
2025-08-26T19:45:32.2353640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy50-wvb
2025-08-26T19:45:32.2354670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-rv
2025-08-26T19:45:32.2355730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse50-vb
2025-08-26T19:45:32.2356910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy-99fgta
2025-08-26T19:45:32.2358200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse99gt-25-w
2025-08-26T19:45:32.2359260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-w
2025-08-26T19:45:32.2360350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-EPC
2025-08-26T19:45:32.2361530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-25-w
2025-08-26T19:45:32.2362580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt25
2025-08-26T19:45:32.2363660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon0
2025-08-26T19:45:32.2364700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt210
2025-08-26T19:45:32.2365780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc3-bold
2025-08-26T19:45:32.2366890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p4
2025-08-26T19:45:32.2367950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism14-m
2025-08-26T19:45:32.2369130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism9-w
2025-08-26T19:45:32.2370270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-43-m
2025-08-26T19:45:32.2371440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+keypad
2025-08-26T19:45:32.2372510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt40
2025-08-26T19:45:32.2373680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p14-w
2025-08-26T19:45:32.2374790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p14-m
2025-08-26T19:45:32.2376000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt200w
2025-08-26T19:45:32.2377140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism14-w
2025-08-26T19:45:32.2378160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccons
2025-08-26T19:45:32.2379320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism9-8-w
2025-08-26T19:45:32.2380480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pmconsole
2025-08-26T19:45:32.2381510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvtXX
2025-08-26T19:45:32.2382570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p5
2025-08-26T19:45:32.2383740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-vt100
2025-08-26T19:45:32.2384780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p19
2025-08-26T19:45:32.2386290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty
2025-08-26T19:45:32.2386980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p9-8-w
2025-08-26T19:45:32.2388230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc6300plus
2025-08-26T19:45:32.2389450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-96x48
2025-08-26T19:45:32.2390600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcconsole
2025-08-26T19:45:32.2391550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pro350
2025-08-26T19:45:32.2392360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pckermit12
2025-08-26T19:45:32.2393260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi25
2025-08-26T19:45:32.2394150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p9-8
2025-08-26T19:45:32.2395100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+xterm
2025-08-26T19:45:32.2395950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc-venix
2025-08-26T19:45:32.2397040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-basic
2025-08-26T19:45:32.2397850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pckermit
2025-08-26T19:45:32.2398790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+sgr+acs0
2025-08-26T19:45:32.2399690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-43
2025-08-26T19:45:32.2400490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pty
2025-08-26T19:45:32.2401360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt505
2025-08-26T19:45:32.2402320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon
2025-08-26T19:45:32.2403090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism7
2025-08-26T19:45:32.2404020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc-minix
2025-08-26T19:45:32.2404860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism9
2025-08-26T19:45:32.2405780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pckermit120
2025-08-26T19:45:32.2406630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt50w
2025-08-26T19:45:32.2407490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism8
2025-08-26T19:45:32.2408420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-fast
2025-08-26T19:45:32.2409330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/printer
2025-08-26T19:45:32.2410180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe1251
2025-08-26T19:45:32.2411070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-33
2025-08-26T19:45:32.2411950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt35w
2025-08-26T19:45:32.2412960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+vt400
2025-08-26T19:45:32.2413830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-25-m
2025-08-26T19:45:32.2414750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism14-m-w
2025-08-26T19:45:32.2415820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p8-w
2025-08-26T19:45:32.2416610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-m
2025-08-26T19:45:32.2417420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p8gl
2025-08-26T19:45:32.2418370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+sgr+acs
2025-08-26T19:45:32.2419240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-m1
2025-08-26T19:45:32.2420200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+cursor
2025-08-26T19:45:32.2421140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys
2025-08-26T19:45:32.2422200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-256color
2025-08-26T19:45:32.2423000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-90x28
2025-08-26T19:45:32.2424030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-mono
2025-08-26T19:45:32.2424780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt250
2025-08-26T19:45:32.2425630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe6100
2025-08-26T19:45:32.2426590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism12-m-w
2025-08-26T19:45:32.2427460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcz19
2025-08-26T19:45:32.2428330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism9-8
2025-08-26T19:45:32.2429210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm
2025-08-26T19:45:32.2430220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+vt100
2025-08-26T19:45:32.2431050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p12-m
2025-08-26T19:45:32.2431890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p7
2025-08-26T19:45:32.2432740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt43
2025-08-26T19:45:32.2433640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p9
2025-08-26T19:45:32.2434530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism12-w
2025-08-26T19:45:32.2435430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt40w
2025-08-26T19:45:32.2436280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt28
2025-08-26T19:45:32.2437120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe1100
2025-08-26T19:45:32.2438200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc-coherent
2025-08-26T19:45:32.2439270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe550
2025-08-26T19:45:32.2439850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p8
2025-08-26T19:45:32.2440750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p12-m-w
2025-08-26T19:45:32.2441570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc3
2025-08-26T19:45:32.2442630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcmw
2025-08-26T19:45:32.2443560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt43w
2025-08-26T19:45:32.2444600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism12-m
2025-08-26T19:45:32.2445330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p12-w
2025-08-26T19:45:32.2446210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc3r-m
2025-08-26T19:45:32.2447070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt25w
2025-08-26T19:45:32.2447910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe6312
2025-08-26T19:45:32.2448810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-sco
2025-08-26T19:45:32.2449880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+esc
2025-08-26T19:45:32.2450690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p9-w
2025-08-26T19:45:32.2451520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc3r
2025-08-26T19:45:32.2452390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism12
2025-08-26T19:45:32.2453270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe7000m
2025-08-26T19:45:32.2454230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-m1b
2025-08-26T19:45:32.2455110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi
2025-08-26T19:45:32.2455940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe7000c
2025-08-26T19:45:32.2456870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt25-color
2025-08-26T19:45:32.2457780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi43
2025-08-26T19:45:32.2458580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p14
2025-08-26T19:45:32.2459440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p14-m-w
2025-08-26T19:45:32.2460370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism14
2025-08-26T19:45:32.2461570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-noapp
2025-08-26T19:45:32.2462760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pilot
2025-08-26T19:45:32.2463910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p12
2025-08-26T19:45:32.2465100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+colors
2025-08-26T19:45:32.2466430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+linux
2025-08-26T19:45:32.2467670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi25m
2025-08-26T19:45:32.2468840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psx_ansi
2025-08-26T19:45:32.2470030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-25
2025-08-26T19:45:32.2471000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt100
2025-08-26T19:45:32.2472120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/ps300
2025-08-26T19:45:32.2473400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe1200
2025-08-26T19:45:32.2474290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt250w
2025-08-26T19:45:32.2475380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism8gl
2025-08-26T19:45:32.2476580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi33
2025-08-26T19:45:32.2477710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism4
2025-08-26T19:45:32.2478920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt505-24
2025-08-26T19:45:32.2479990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism8-w
2025-08-26T19:45:32.2481200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcplot
2025-08-26T19:45:32.2482470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+sco
2025-08-26T19:45:32.2483600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-screen
2025-08-26T19:45:32.2484700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+keys
2025-08-26T19:45:32.2485880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism5
2025-08-26T19:45:32.2487050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt505-22
2025-08-26T19:45:32.2488120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism2
2025-08-26T19:45:32.2489350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-m2
2025-08-26T19:45:32.2490580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc7300
2025-08-26T19:45:32.2491870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-80x24
2025-08-26T19:45:32.2492920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+base
2025-08-26T19:45:32.2493910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi33m
2025-08-26T19:45:32.2495120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon-m
2025-08-26T19:45:32.2496200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt100w
2025-08-26T19:45:32.2497310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe6300
2025-08-26T19:45:32.2499080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt200
2025-08-26T19:45:32.2499980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt35
2025-08-26T19:45:32.2501240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt28w
2025-08-26T19:45:32.2502310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pmcons
2025-08-26T19:45:32.2503390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcix
2025-08-26T19:45:32.2504640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon0-m
2025-08-26T19:45:32.2505710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt50
2025-08-26T19:45:32.2506860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-33-m
2025-08-26T19:45:32.2508110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+screen
2025-08-26T19:45:32.2509290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qdcons
2025-08-26T19:45:32.2510490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203
2025-08-26T19:45:32.2511630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119p-25
2025-08-26T19:45:32.2512820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119+-25-w
2025-08-26T19:45:32.2513960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119p-25-w
2025-08-26T19:45:32.2514900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxt
2025-08-26T19:45:32.2516050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203-25
2025-08-26T19:45:32.2517120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119
2025-08-26T19:45:32.2518190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnx
2025-08-26T19:45:32.2519690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxt4
2025-08-26T19:45:32.2520470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt103
2025-08-26T19:45:32.2521510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119-w
2025-08-26T19:45:32.2522690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119p
2025-08-26T19:45:32.2523890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qansi-g
2025-08-26T19:45:32.2524970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203-25-w
2025-08-26T19:45:32.2526110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119+-w
2025-08-26T19:45:32.2527120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt102
2025-08-26T19:45:32.2528270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qansi-t
2025-08-26T19:45:32.2529350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxt2
2025-08-26T19:45:32.2530440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203-w
2025-08-26T19:45:32.2531460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt101p
2025-08-26T19:45:32.2532580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxtmono
2025-08-26T19:45:32.2533660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt103-w
2025-08-26T19:45:32.2534830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119+-25
2025-08-26T19:45:32.2535930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qume
2025-08-26T19:45:32.2537080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203-w-am
2025-08-26T19:45:32.2538140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxw
2025-08-26T19:45:32.2539220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnx4
2025-08-26T19:45:32.2540380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119p-w
2025-08-26T19:45:32.2541340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxm
2025-08-26T19:45:32.2542570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qansi-m
2025-08-26T19:45:32.2543620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qdss
2025-08-26T19:45:32.2544800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qansi-w
2025-08-26T19:45:32.2545970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt101
2025-08-26T19:45:32.2547030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119+
2025-08-26T19:45:32.2548300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt108
2025-08-26T19:45:32.2549350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qume5
2025-08-26T19:45:32.2550380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qansi
2025-08-26T19:45:32.2551570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt101+
2025-08-26T19:45:32.2552720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203+
2025-08-26T19:45:32.2553930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119-25-w
2025-08-26T19:45:32.2555040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt61
2025-08-26T19:45:32.2556100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt330
2025-08-26T19:45:32.2557260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt102
2025-08-26T19:45:32.2558330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt50
2025-08-26T19:45:32.2559580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vp60
2025-08-26T19:45:32.2560800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-putty
2025-08-26T19:45:32.2562050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-8
2025-08-26T19:45:32.2563310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-nav-w
2025-08-26T19:45:32.2564320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt300
2025-08-26T19:45:32.2565490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt132
2025-08-26T19:45:32.2566560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc403a
2025-08-26T19:45:32.2567870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+pcedit
2025-08-26T19:45:32.2568920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-s
2025-08-26T19:45:32.2570180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip
2025-08-26T19:45:32.2571150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-direct
2025-08-26T19:45:32.2572160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewpoint90
2025-08-26T19:45:32.2573300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte+pcfkeys
2025-08-26T19:45:32.2574330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-nam
2025-08-26T19:45:32.2575010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vitty
2025-08-26T19:45:32.2575910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt102-w
2025-08-26T19:45:32.2576800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/versaterm
2025-08-26T19:45:32.2577680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/visa50
2025-08-26T19:45:32.2578600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt52+arrows
2025-08-26T19:45:32.2579430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vp3a+
2025-08-26T19:45:32.2580320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewdata
2025-08-26T19:45:32.2581450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2014
2025-08-26T19:45:32.2582190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi550
2025-08-26T19:45:32.2583140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt102-nsgr
2025-08-26T19:45:32.2584000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-old
2025-08-26T19:45:32.2584840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt-61
2025-08-26T19:45:32.2585750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-k311
2025-08-26T19:45:32.2586630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+
2025-08-26T19:45:32.2587630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+keypad
2025-08-26T19:45:32.2588450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vtnt
2025-08-26T19:45:32.2589350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+4bsd
2025-08-26T19:45:32.2590280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewdata-o
2025-08-26T19:45:32.2591110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt61.5
2025-08-26T19:45:32.2591970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt510pc
2025-08-26T19:45:32.2592910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc203
2025-08-26T19:45:32.2593790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/v200-nam
2025-08-26T19:45:32.2594630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220
2025-08-26T19:45:32.2595520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-k3
2025-08-26T19:45:32.2596390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100nam
2025-08-26T19:45:32.2597280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2012
2025-08-26T19:45:32.2598120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi300
2025-08-26T19:45:32.2599070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vapple
2025-08-26T19:45:32.2599850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip-H
2025-08-26T19:45:32.2600730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2008
2025-08-26T19:45:32.2601640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc415
2025-08-26T19:45:32.2602490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt400
2025-08-26T19:45:32.2603360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-vb
2025-08-26T19:45:32.2604350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+vtedit
2025-08-26T19:45:32.2605270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-nam
2025-08-26T19:45:32.2606190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+noapp
2025-08-26T19:45:32.2606990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/v320n
2025-08-26T19:45:32.2607880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vv100
2025-08-26T19:45:32.2609370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+enq
2025-08-26T19:45:32.2609760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-w
2025-08-26T19:45:32.2610880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt102+enq
2025-08-26T19:45:32.2611560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2007
2025-08-26T19:45:32.2612490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-s-top
2025-08-26T19:45:32.2613300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc414
2025-08-26T19:45:32.2614180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-w
2025-08-26T19:45:32.2615100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt52-basic
2025-08-26T19:45:32.2615940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vk100
2025-08-26T19:45:32.2616840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-8bit
2025-08-26T19:45:32.2617670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt520
2025-08-26T19:45:32.2618510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt340
2025-08-26T19:45:32.2619420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vs100-x10
2025-08-26T19:45:32.2620450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-nam-w
2025-08-26T19:45:32.2621780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+noapp+pc
2025-08-26T19:45:32.2622290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi55
2025-08-26T19:45:32.2623320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi603
2025-08-26T19:45:32.2624210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vwmterm
2025-08-26T19:45:32.2625280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420pcdos
2025-08-26T19:45:32.2626270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-js
2025-08-26T19:45:32.2627120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vs100
2025-08-26T19:45:32.2628200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt520ansi
2025-08-26T19:45:32.2629040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt510
2025-08-26T19:45:32.2629980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-js
2025-08-26T19:45:32.2630860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-256color
2025-08-26T19:45:32.2631740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip7800-w
2025-08-26T19:45:32.2632870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+cvis
2025-08-26T19:45:32.2633600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc103
2025-08-26T19:45:32.2634720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-8bit
2025-08-26T19:45:32.2635470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi300-old
2025-08-26T19:45:32.2636310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-w
2025-08-26T19:45:32.2637150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vp90
2025-08-26T19:45:32.2638120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+fnkeys
2025-08-26T19:45:32.2638950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi200-f
2025-08-26T19:45:32.2639820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420f
2025-08-26T19:45:32.2640700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt400-24
2025-08-26T19:45:32.2641600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt300-w
2025-08-26T19:45:32.2642700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/visual603
2025-08-26T19:45:32.2643390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-w
2025-08-26T19:45:32.2644350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewpoint60
2025-08-26T19:45:32.2645110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt52
2025-08-26T19:45:32.2645990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt131
2025-08-26T19:45:32.2646890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt50h
2025-08-26T19:45:32.2647710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100
2025-08-26T19:45:32.2648550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/venix
2025-08-26T19:45:32.2649440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2017
2025-08-26T19:45:32.2650360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip7800-Hw
2025-08-26T19:45:32.2651210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc404
2025-08-26T19:45:32.2652100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420
2025-08-26T19:45:32.2653010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-w-nav
2025-08-26T19:45:32.2653810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte
2025-08-26T19:45:32.2654670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/v3220
2025-08-26T19:45:32.2655610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-bot-s
2025-08-26T19:45:32.2656490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-w-nam
2025-08-26T19:45:32.2657480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi500
2025-08-26T19:45:32.2658530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc414h
2025-08-26T19:45:32.2659730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt52+keypad
2025-08-26T19:45:32.2660990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2018
2025-08-26T19:45:32.2662030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420+lrmm
2025-08-26T19:45:32.2663310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+pfkeys
2025-08-26T19:45:32.2664380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt510pcdos
2025-08-26T19:45:32.2665460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vremote
2025-08-26T19:45:32.2666710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-top-s
2025-08-26T19:45:32.2667920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewdata-rv
2025-08-26T19:45:32.2668950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip-w
2025-08-26T19:45:32.2670220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-nav
2025-08-26T19:45:32.2671330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-base
2025-08-26T19:45:32.2672510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt300-w-nam
2025-08-26T19:45:32.2673570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewpoint3a+
2025-08-26T19:45:32.2674780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-nam
2025-08-26T19:45:32.2676100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-bm-o
2025-08-26T19:45:32.2677290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi50adm
2025-08-26T19:45:32.2678320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt300-nam
2025-08-26T19:45:32.2679370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200
2025-08-26T19:45:32.2680520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220d
2025-08-26T19:45:32.2681620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vsc
2025-08-26T19:45:32.2682760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420pc
2025-08-26T19:45:32.2683940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-8
2025-08-26T19:45:32.2685140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vanilla
2025-08-26T19:45:32.2686240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vscode
2025-08-26T19:45:32.2687310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt125
2025-08-26T19:45:32.2688470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip-Hw
2025-08-26T19:45:32.2689590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-old
2025-08-26T19:45:32.2690670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/v5410
2025-08-26T19:45:32.2691860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+keypad
2025-08-26T19:45:32.2693090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc303a
2025-08-26T19:45:32.2694160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-am
2025-08-26T19:45:32.2695470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-s-bot
2025-08-26T19:45:32.2696570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320nam
2025-08-26T19:45:32.2697800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-w-am
2025-08-26T19:45:32.2698850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320
2025-08-26T19:45:32.2699900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc303
2025-08-26T19:45:32.2701050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi50
2025-08-26T19:45:32.2702270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip7800-H
2025-08-26T19:45:32.2703280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewpoint
2025-08-26T19:45:32.2704360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc404-s
2025-08-26T19:45:32.2705530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+cvis8
2025-08-26T19:45:32.2706600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt-utf8
2025-08-26T19:45:32.2707620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi200
2025-08-26T19:45:32.2708780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-bm
2025-08-26T19:45:32.2710280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vscode-direct
2025-08-26T19:45:32.2711140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt525
2025-08-26T19:45:32.2712240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi200-rv
2025-08-26T19:45:32.2713500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-w-nam
2025-08-26T19:45:32.2714740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-256color
2025-08-26T19:45:32.2718950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+r6f2
2025-08-26T19:45:32.2719230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-112x37
2025-08-26T19:45:32.2719450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+200x64
2025-08-26T19:45:32.2719670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+x10mouse
2025-08-26T19:45:32.2720440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+128x48
2025-08-26T19:45:32.2721590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+osc104
2025-08-26T19:45:32.2723140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-200x64-m
2025-08-26T19:45:32.2724200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-color
2025-08-26T19:45:32.2725760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-16color
2025-08-26T19:45:32.2727040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xf86-v40
2025-08-26T19:45:32.2728390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+128x40
2025-08-26T19:45:32.2729550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-m-b
2025-08-26T19:45:32.2730760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+direct256
2025-08-26T19:45:32.2731900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+direct2
2025-08-26T19:45:32.2733260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+app+pc
2025-08-26T19:45:32.2734440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xgterm
2025-08-26T19:45:32.2735480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+88color
2025-08-26T19:45:32.2736630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+c
2025-08-26T19:45:32.2737900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pce2
2025-08-26T19:45:32.2739160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-200x64
2025-08-26T19:45:32.2740390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-128x48
2025-08-26T19:45:32.2741750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+app
2025-08-26T19:45:32.2742930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-8bit
2025-08-26T19:45:32.2744240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xerox820
2025-08-26T19:45:32.2745600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x1750
2025-08-26T19:45:32.2746590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+112x37
2025-08-26T19:45:32.2747870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xtermm
2025-08-26T19:45:32.2748970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xi
2025-08-26T19:45:32.2750200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcc0
2025-08-26T19:45:32.2751410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-f
2025-08-26T19:45:32.2752570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-x11hilite
2025-08-26T19:45:32.2753650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xtermc
2025-08-26T19:45:32.2754620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-80x25-m
2025-08-26T19:45:32.2755530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcf2
2025-08-26T19:45:32.2756470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+keypad
2025-08-26T19:45:32.2757270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm
2025-08-26T19:45:32.2758220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-128x40
2025-08-26T19:45:32.2759560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+noapp
2025-08-26T19:45:32.2760210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+b
2025-08-26T19:45:32.2761090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-basic
2025-08-26T19:45:32.2761950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+meta
2025-08-26T19:45:32.2762890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+x11mouse
2025-08-26T19:45:32.2763770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-f2
2025-08-26T19:45:32.2764770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x820
2025-08-26T19:45:32.2765580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcc1
2025-08-26T19:45:32.2766470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-r6
2025-08-26T19:45:32.2767340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x1720
2025-08-26T19:45:32.2768220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm.js
2025-08-26T19:45:32.2769150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-88color
2025-08-26T19:45:32.2770070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+tmux2
2025-08-26T19:45:32.2771010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-144x48-m
2025-08-26T19:45:32.2772340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-direct2
2025-08-26T19:45:32.2772940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+decedit
2025-08-26T19:45:32.2773820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-utf8
2025-08-26T19:45:32.2774850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+x11hilite
2025-08-26T19:45:32.2775860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-direct16
2025-08-26T19:45:32.2776670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xdku
2025-08-26T19:45:32.2777680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x68k-ite
2025-08-26T19:45:32.2778630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+alt+title
2025-08-26T19:45:32.2779560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-112x37-m
2025-08-26T19:45:32.2780470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+direct
2025-08-26T19:45:32.2781420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xf86-v333
2025-08-26T19:45:32.2782340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xfree86
2025-08-26T19:45:32.2783250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-vt220
2025-08-26T19:45:32.2784210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+acs
2025-08-26T19:45:32.2785070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-hp
2025-08-26T19:45:32.2785960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-new
2025-08-26T19:45:32.2786890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-noapp
2025-08-26T19:45:32.2787810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pc+edit
2025-08-26T19:45:32.2788770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-1003
2025-08-26T19:45:32.2789670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterms-sun
2025-08-26T19:45:32.2790580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sl-twm
2025-08-26T19:45:32.2791480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+basic
2025-08-26T19:45:32.2792410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sm+1003
2025-08-26T19:45:32.2793370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-pcolor
2025-08-26T19:45:32.2794170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xenix
2025-08-26T19:45:32.2795290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-direct256
2025-08-26T19:45:32.2796110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc
2025-08-26T19:45:32.2797060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sm+1002
2025-08-26T19:45:32.2797990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+focus
2025-08-26T19:45:32.2798870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sm+1005
2025-08-26T19:45:32.2799770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-1005
2025-08-26T19:45:32.2800940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-128x48-m
2025-08-26T19:45:32.2801730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xerox-lm
2025-08-26T19:45:32.2802740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+nopcfkeys
2025-08-26T19:45:32.2803610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-direct
2025-08-26T19:45:32.2804520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-1002
2025-08-26T19:45:32.2805400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-sco
2025-08-26T19:45:32.2806420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-144x48
2025-08-26T19:45:32.2807320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-p371
2025-08-26T19:45:32.2808270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+256setaf
2025-08-26T19:45:32.2809260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-160x64-m
2025-08-26T19:45:32.2810390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+vt+edit
2025-08-26T19:45:32.2811030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+kbs
2025-08-26T19:45:32.2812070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-80x30
2025-08-26T19:45:32.2813240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-90x30-m
2025-08-26T19:45:32.2814890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-x11mouse
2025-08-26T19:45:32.2815410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xwsh
2025-08-26T19:45:32.2815870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xtalk
2025-08-26T19:45:32.2816730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xf86-v43
2025-08-26T19:45:32.2817670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xf86-v44
2025-08-26T19:45:32.2818600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-p370
2025-08-26T19:45:32.2819540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-m-f
2025-08-26T19:45:32.2820640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-90x30
2025-08-26T19:45:32.2821290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xl83
2025-08-26T19:45:32.2822140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xfce
2025-08-26T19:45:32.2823110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcc3
2025-08-26T19:45:32.2823940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x1700
2025-08-26T19:45:32.2825000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-24
2025-08-26T19:45:32.2826240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sl-alt
2025-08-26T19:45:32.2826850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+144x48
2025-08-26T19:45:32.2827640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-b
2025-08-26T19:45:32.2828540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-old
2025-08-26T19:45:32.2829850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+alt47
2025-08-26T19:45:32.2830810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+f2
2025-08-26T19:45:32.2831800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-x10mouse
2025-08-26T19:45:32.2832720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+80x25
2025-08-26T19:45:32.2833710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcf0
2025-08-26T19:45:32.2834590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+nofkeys
2025-08-26T19:45:32.2835510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+256color
2025-08-26T19:45:32.2836340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x1700-lm
2025-08-26T19:45:32.2837370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-m
2025-08-26T19:45:32.2838320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+256color2
2025-08-26T19:45:32.2839180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-r5
2025-08-26T19:45:32.2840170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+titlestack
2025-08-26T19:45:32.2841040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xerox1720
2025-08-26T19:45:32.2842030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcc2
2025-08-26T19:45:32.2842790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm1
2025-08-26T19:45:32.2843640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x68k
2025-08-26T19:45:32.2844540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+f
2025-08-26T19:45:32.2845400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterms
2025-08-26T19:45:32.2846340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-mono
2025-08-26T19:45:32.2847210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x10term+sl
2025-08-26T19:45:32.2848320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-100x37-m
2025-08-26T19:45:32.2849110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+80x30
2025-08-26T19:45:32.2850040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-200x75
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2025-08-26T19:45:32.4249910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/test/tests/test_traceback.py
2025-08-26T19:45:32.4250860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/test/tests/test_block_bar.py
2025-08-26T19:45:32.4252230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/test/tests/test_spinner.py
2025-08-26T19:45:32.4253000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/test/tests/test_markup.py
2025-08-26T19:45:32.4253800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/test/run_test.py
2025-08-26T19:45:32.4254900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/test/test_time_dependencies.json
2025-08-26T19:45:32.4255710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/licenses/LICENSE
2025-08-26T19:45:32.4256740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/recipe/conda_build_config.yaml
2025-08-26T19:45:32.4257600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/recipe/meta.yaml
2025-08-26T19:45:32.4258620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/recipe/meta.yaml.template
2025-08-26T19:45:32.4259420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/paths.json
2025-08-26T19:45:32.4260300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/hash_input.json
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2025-08-26T19:45:32.4266320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich-13.9.4.dist-info/LICENSE
2025-08-26T19:45:32.4267430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich-13.9.4.dist-info/direct_url.json
2025-08-26T19:45:32.4268700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich-13.9.4.dist-info/WHEEL
2025-08-26T19:45:32.4269890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich-13.9.4.dist-info/REQUESTED
2025-08-26T19:45:32.4271150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich-13.9.4.dist-info/INSTALLER
2025-08-26T19:45:32.4272320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich-13.9.4.dist-info/METADATA
2025-08-26T19:45:32.4273410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/themes.py
2025-08-26T19:45:32.4274600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/screen.py
2025-08-26T19:45:32.4275660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/logging.py
2025-08-26T19:45:32.4276800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/measure.py
2025-08-26T19:45:32.4277840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/tree.py
2025-08-26T19:45:32.4278950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/console.py
2025-08-26T19:45:32.4280090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/live_render.py
2025-08-26T19:45:32.4281240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_emoji_codes.py
2025-08-26T19:45:32.4282260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/box.py
2025-08-26T19:45:32.4283620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/color.py
2025-08-26T19:45:32.4284470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_timer.py
2025-08-26T19:45:32.4285550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_fileno.py
2025-08-26T19:45:32.4286660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/align.py
2025-08-26T19:45:32.4287720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/theme.py
2025-08-26T19:45:32.4288800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/style.py
2025-08-26T19:45:32.4289950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/default_styles.py
2025-08-26T19:45:32.4291030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_wrap.py
2025-08-26T19:45:32.4292140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_log_render.py
2025-08-26T19:45:32.4293220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/emoji.py
2025-08-26T19:45:32.4294330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/layout.py
2025-08-26T19:45:32.4295550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/containers.py
2025-08-26T19:45:32.4296610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_emoji_replace.py
2025-08-26T19:45:32.4297690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/traceback.py
2025-08-26T19:45:32.4298780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/region.py
2025-08-26T19:45:32.4299950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/protocol.py
2025-08-26T19:45:32.4300950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_loop.py
2025-08-26T19:45:32.4302180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/control.py
2025-08-26T19:45:32.4303180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/filesize.py
2025-08-26T19:45:32.4304350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_null_file.py
2025-08-26T19:45:32.4305440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_palettes.py
2025-08-26T19:45:32.4306510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__init__.py
2025-08-26T19:45:32.4307590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_pick.py
2025-08-26T19:45:32.4308740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/file_proxy.py
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2025-08-26T19:45:32.4323140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/containers.cpython-313.pyc
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2025-08-26T19:45:32.4343730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_cell_widths.cpython-313.pyc
2025-08-26T19:45:32.4345670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/terminal_theme.cpython-313.pyc
2025-08-26T19:45:32.4347250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_palettes.cpython-313.pyc
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2025-08-26T19:45:32.4383010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_inspect.cpython-313.pyc
2025-08-26T19:45:32.4384320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/syntax.cpython-313.pyc
2025-08-26T19:45:32.4385610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/panel.cpython-313.pyc
2025-08-26T19:45:32.4387150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/table.cpython-313.pyc
2025-08-26T19:45:32.4388230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_wrap.cpython-313.pyc
2025-08-26T19:45:32.4389550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/live.cpython-313.pyc
2025-08-26T19:45:32.4390970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/align.cpython-313.pyc
2025-08-26T19:45:32.4392220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/jupyter.cpython-313.pyc
2025-08-26T19:45:32.4393530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/markup.cpython-313.pyc
2025-08-26T19:45:32.4394970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_windows_renderer.cpython-313.pyc
2025-08-26T19:45:32.4396250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/protocol.cpython-313.pyc
2025-08-26T19:45:32.4397550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_pick.cpython-313.pyc
2025-08-26T19:45:32.4398910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_timer.cpython-313.pyc
2025-08-26T19:45:32.4400240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/spinner.cpython-313.pyc
2025-08-26T19:45:32.4401560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/styled.cpython-313.pyc
2025-08-26T19:45:32.4402780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/json.cpython-313.pyc
2025-08-26T19:45:32.4404520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_export_format.cpython-313.pyc
2025-08-26T19:45:32.4405540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/pager.cpython-313.pyc
2025-08-26T19:45:32.4406930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/progress_bar.cpython-313.pyc
2025-08-26T19:45:32.4408250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/__main__.cpython-313.pyc
2025-08-26T19:45:32.4409580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/box.cpython-313.pyc
2025-08-26T19:45:32.4410890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/columns.cpython-313.pyc
2025-08-26T19:45:32.4412230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/diagnose.cpython-313.pyc
2025-08-26T19:45:32.4413530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/__init__.cpython-313.pyc
2025-08-26T19:45:32.4415000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/traceback.cpython-313.pyc
2025-08-26T19:45:32.4416270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_null_file.cpython-313.pyc
2025-08-26T19:45:32.4417770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_win32_console.cpython-313.pyc
2025-08-26T19:45:32.4419040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/console.cpython-313.pyc
2025-08-26T19:45:32.4420600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/color_triplet.cpython-313.pyc
2025-08-26T19:45:32.4421880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/padding.cpython-313.pyc
2025-08-26T19:45:32.4422910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/palette.py
2025-08-26T19:45:32.4423950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/markup.py
2025-08-26T19:45:32.4425040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_ratio.py
2025-08-26T19:45:32.4426330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/repr.py
2025-08-26T19:45:32.4427380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/constrain.py
2025-08-26T19:45:32.4428480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/pretty.py
2025-08-26T19:45:32.4429570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/diagnose.py
2025-08-26T19:45:32.4430700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/columns.py
2025-08-26T19:45:32.4431860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/rule.py
2025-08-26T19:45:32.4432990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_inspect.py
2025-08-26T19:45:32.4434080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/markdown.py
2025-08-26T19:45:32.4435150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/pager.py
2025-08-26T19:45:32.4436260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/text.py
2025-08-26T19:45:32.4437360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/highlighter.py
2025-08-26T19:45:32.4438770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_spinners.py
2025-08-26T19:45:32.4439740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/terminal_theme.py
2025-08-26T19:45:32.4440700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/bar.py
2025-08-26T19:45:32.4441830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/live.py
2025-08-26T19:45:32.4442880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/py.typed
2025-08-26T19:45:32.4444390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/syntax.py
2025-08-26T19:45:32.4445140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/table.py
2025-08-26T19:45:32.4446310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_export_format.py
2025-08-26T19:45:32.4447430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/progress_bar.py
2025-08-26T19:45:32.4448930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/errors.py
2025-08-26T19:45:32.4450150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/prompt.py
2025-08-26T19:45:32.4451230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/segment.py
2025-08-26T19:45:32.4452260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/ansi.py
2025-08-26T19:45:32.4453340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/progress.py
2025-08-26T19:45:32.4454430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_stack.py
2025-08-26T19:45:32.4455500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_windows.py
2025-08-26T19:45:32.4456630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_cell_widths.py
2025-08-26T19:45:32.4457680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/cells.py
2025-08-26T19:45:32.4458930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_win32_console.py
2025-08-26T19:45:32.4459990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/panel.py
2025-08-26T19:45:32.4461080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/styled.py
2025-08-26T19:45:32.4462180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/spinner.py
2025-08-26T19:45:32.4463620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_windows_renderer.py
2025-08-26T19:45:32.4464580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/json.py
2025-08-26T19:45:32.4465670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/padding.py
2025-08-26T19:45:32.4466760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__main__.py
2025-08-26T19:45:32.4467880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/scope.py
2025-08-26T19:45:32.4468970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_extension.py
2025-08-26T19:45:32.4470230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/status.py
2025-08-26T19:45:32.4471140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/abc.py
2025-08-26T19:45:32.4472240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/jupyter.py
2025-08-26T19:45:32.4473450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/color_triplet.py
2025-08-26T19:45:32.4474200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/conda-anaconda-tos-0.2.2-py313hca03da5_1.conda
2025-08-26T19:45:32.4474880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libsolv-0.7.30-h514c7bf_1.conda
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2025-08-26T19:45:32.4476540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libssh2-1.11.1-h3e2b118_0.conda
2025-08-26T19:45:32.4477270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/bin/xmllint
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2025-08-26T19:45:32.4480950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/parserInternals.h
2025-08-26T19:45:32.4481940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/xpointer.h
2025-08-26T19:45:32.4482980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/debugXML.h
2025-08-26T19:45:32.4483920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/schematron.h
2025-08-26T19:45:32.4484830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/uri.h
2025-08-26T19:45:32.4485790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/parser.h
2025-08-26T19:45:32.4486760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/encoding.h
2025-08-26T19:45:32.4487690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/tree.h
2025-08-26T19:45:32.4488980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/threads.h
2025-08-26T19:45:32.4489790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/xmlversion.h
2025-08-26T19:45:32.4490690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/globals.h
2025-08-26T19:45:32.4491650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/catalog.h
2025-08-26T19:45:32.4492660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/pattern.h
2025-08-26T19:45:32.4493690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/xmlreader.h
2025-08-26T19:45:32.4494660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/HTMLtree.h
2025-08-26T19:45:32.4495570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/SAX2.h
2025-08-26T19:45:32.4496590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/xmlexports.h
2025-08-26T19:45:32.4497520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/xlink.h
2025-08-26T19:45:32.4498530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/SAX.h
2025-08-26T19:45:32.4499600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/entities.h
2025-08-26T19:45:32.4500480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/xmlregexp.h
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2025-08-26T19:45:32.5521780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/repo_checker_store.hpp
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2025-08-26T19:45:32.5580660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/url.hpp
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2025-08-26T19:45:32.5584500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/deprecation.hpp
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2025-08-26T19:45:32.5586630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/cfile.hpp
2025-08-26T19:45:32.5587290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/os.hpp
2025-08-26T19:45:32.5588280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/conditional.hpp
2025-08-26T19:45:32.5589210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/flat_set.hpp
2025-08-26T19:45:32.5590140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/compare.hpp
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2025-08-26T19:45:32.5592140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/environment.hpp
2025-08-26T19:45:32.5593120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/tuple_hash.hpp
2025-08-26T19:45:32.5594090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/archive.hpp
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2025-08-26T19:45:32.6188580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_schema_gather.cpython-313.pyc
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2025-08-26T19:45:32.6191850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_discriminated_union.cpython-313.pyc
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2025-08-26T19:45:32.6196490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_dataclasses.cpython-313.pyc
2025-08-26T19:45:32.6198510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_schema_generation_shared.cpython-313.pyc
2025-08-26T19:45:32.6200430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/__init__.cpython-313.pyc
2025-08-26T19:45:32.6202600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_decorators_v1.cpython-313.pyc
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2025-08-26T19:45:32.6206670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_internal_dataclass.cpython-313.pyc
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2025-08-26T19:45:32.6210160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_model_construction.py
2025-08-26T19:45:32.6211890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_signature.py
2025-08-26T19:45:32.6213970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py
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2025-08-26T19:45:32.6227460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_mock_val_ser.py
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2025-08-26T19:45:32.6232290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_dataclasses.py
2025-08-26T19:45:32.6233930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_internal_dataclass.py
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2025-08-26T19:45:32.6237390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/__init__.py
2025-08-26T19:45:32.6239490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/__pycache__/pipeline.cpython-313.pyc
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2025-08-26T19:45:32.6246900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/arguments_schema.py
2025-08-26T19:45:32.6248410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/functional_validators.py
2025-08-26T19:45:32.6250030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/alias_generators.py
2025-08-26T19:45:32.6251550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/color.py
2025-08-26T19:45:32.6252920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/config.py
2025-08-26T19:45:32.6254360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/version.py
2025-08-26T19:45:32.6256000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/fields.py
2025-08-26T19:45:32.6257580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/error_wrappers.py
2025-08-26T19:45:32.6259110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/decorator.py
2025-08-26T19:45:32.6260640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/validators.py
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2025-08-26T19:45:32.6263650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/tools.py
2025-08-26T19:45:32.6265280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/plugin/_loader.py
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2025-08-26T19:45:32.6268590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/plugin/_schema_validator.py
2025-08-26T19:45:32.6270490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/plugin/__pycache__/_loader.cpython-313.pyc
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2025-08-26T19:45:32.6278770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/mypy.py
2025-08-26T19:45:32.6280380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/types.py
2025-08-26T19:45:32.6281920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/class_validators.py
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2025-08-26T19:45:32.6304220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/annotated_handlers.cpython-313.pyc
2025-08-26T19:45:32.6305870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/fields.cpython-313.pyc
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2025-08-26T19:45:32.6330060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/type_adapter.cpython-313.pyc
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2025-08-26T19:45:32.6333030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/error_wrappers.cpython-313.pyc
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2025-08-26T19:45:32.6776830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.5-py313hace6d20_0/lib/python3.13/site-packages/cryptography/hazmat/primitives/kdf/x963kdf.py
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2025-08-26T19:45:32.6780580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.5-py313hace6d20_0/lib/python3.13/site-packages/cryptography/hazmat/primitives/kdf/concatkdf.py
2025-08-26T19:45:32.6782500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.5-py313hace6d20_0/lib/python3.13/site-packages/cryptography/hazmat/primitives/_serialization.py
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2025-08-26T19:45:32.6817930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.5-py313hace6d20_0/lib/python3.13/site-packages/cryptography/hazmat/primitives/cmac.py
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2025-08-26T19:45:32.8440990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/info/licenses/LICENSE.md
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2025-08-26T19:45:32.8457670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/lib/libcares.2.19.4.dylib
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2025-08-26T19:45:32.8473260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_init.3
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2025-08-26T19:45:32.8478030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_queue.3
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2025-08-26T19:45:32.8480700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_search_dnsrec.3
2025-08-26T19:45:32.8481870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_destroy.3
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2025-08-26T19:45:32.8484360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_inet_pton.3
2025-08-26T19:45:32.8485730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_process.3
2025-08-26T19:45:32.8486590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_create_query.3
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2025-08-26T19:45:32.8488300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_svcb_param_t.3
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2025-08-26T19:45:32.8495270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_free_string.3
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2025-08-26T19:45:32.8500170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_mkquery.3
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2025-08-26T19:45:32.8503250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_dns_rec_type_fromstr.3
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2025-08-26T19:45:32.8505270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_freeaddrinfo.3
2025-08-26T19:45:32.8506580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_destroy_options.3
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2025-08-26T19:45:32.8508450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_fds.3
2025-08-26T19:45:32.8509280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_gethostbyname.3
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2025-08-26T19:45:32.8529710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_parse_soa_reply.3
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2025-08-26T19:45:32.8535260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_set_socket_configure_callback.3
2025-08-26T19:45:32.8536600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_opt_param_t.3
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2025-08-26T19:45:32.8547080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_strerror.3
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2025-08-26T19:45:32.8550990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_send.3
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2025-08-26T19:45:32.8557300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_dns_flags_t.3
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2025-08-26T19:45:32.8561410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_dns_rr_add_abin.3
2025-08-26T19:45:32.8562710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_getaddrinfo.3
2025-08-26T19:45:32.8564030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_parse_caa_reply.3
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2025-08-26T19:45:32.8664180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/readchar-4.0.5-py313hca03da5_0/info/licenses/LICENSE
2025-08-26T19:45:32.8665200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/readchar-4.0.5-py313hca03da5_0/info/recipe/LICENSE
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2025-08-26T19:45:32.8688520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/readchar-4.0.5-py313hca03da5_0/lib/python3.13/site-packages/readchar/_win_key.py
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2025-08-26T19:45:32.9648070Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/vi.msg
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2025-08-26T19:45:32.9653350Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ar_lb.msg
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2025-08-26T19:45:32.9654850Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/fa_in.msg
2025-08-26T19:45:32.9655670Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ko_kr.msg
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2025-08-26T19:45:32.9657540Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_pa.msg
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2025-08-26T19:45:32.9659240Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/uk.msg
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2025-08-26T19:45:32.9697820Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/eu_es.msg
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2025-08-26T19:45:32.9701990Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/he.msg
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2025-08-26T19:45:33.1196990Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexers/freefem.py
2025-08-26T19:45:33.1198400Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexers/thingsdb.py
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2025-08-26T19:45:33.1219490Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexers/__pycache__/ruby.cpython-313.pyc
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2025-08-26T19:45:33.1222470Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexers/__pycache__/prolog.cpython-313.pyc
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2025-08-26T19:45:33.1232320Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexers/__pycache__/trafficscript.cpython-313.pyc
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2025-08-26T19:45:33.1239630Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexers/__pycache__/freefem.cpython-313.pyc
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2025-08-26T19:45:33.1248180Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexers/__pycache__/pony.cpython-313.pyc
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2025-08-26T19:45:33.1612870Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexers/rdf.py
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2025-08-26T19:45:33.1619960Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexers/actionscript.py
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2025-08-26T19:45:33.1623210Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexers/apl.py
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2025-08-26T19:45:33.1668940Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexers/rita.py
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2025-08-26T19:45:33.1676940Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexers/elm.py
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2025-08-26T19:45:33.1690430Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexers/openscad.py
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2025-08-26T19:45:33.1721500Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/pangomarkup.cpython-313.pyc
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2025-08-26T19:45:33.1723660Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/formatters/__pycache__/groff.cpython-313.pyc
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2025-08-26T19:45:33.1762180Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/sphinxext.cpython-313.pyc
2025-08-26T19:45:33.1763540Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/filter.cpython-313.pyc
2025-08-26T19:45:33.1765030Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/__main__.cpython-313.pyc
2025-08-26T19:45:33.1766370Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/__init__.cpython-313.pyc
2025-08-26T19:45:33.1767990Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__pycache__/console.cpython-313.pyc
2025-08-26T19:45:33.1768950Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/sas.py
2025-08-26T19:45:33.1770200Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/material.py
2025-08-26T19:45:33.1771460Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/friendly_grayscale.py
2025-08-26T19:45:33.1772510Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/pastie.py
2025-08-26T19:45:33.1773570Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/onedark.py
2025-08-26T19:45:33.1774660Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/inkpot.py
2025-08-26T19:45:33.1775980Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/xcode.py
2025-08-26T19:45:33.1777500Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/gruvbox.py
2025-08-26T19:45:33.1778640Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/monokai.py
2025-08-26T19:45:33.1779800Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/tango.py
2025-08-26T19:45:33.1780920Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/friendly.py
2025-08-26T19:45:33.1782130Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/staroffice.py
2025-08-26T19:45:33.1783410Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/paraiso_dark.py
2025-08-26T19:45:33.1784620Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/solarized.py
2025-08-26T19:45:33.1785710Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__init__.py
2025-08-26T19:45:33.1786960Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/algol_nu.py
2025-08-26T19:45:33.1788200Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/gh_dark.py
2025-08-26T19:45:33.1789420Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/native.py
2025-08-26T19:45:33.1790970Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/xcode.cpython-313.pyc
2025-08-26T19:45:33.1792410Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/algol.cpython-313.pyc
2025-08-26T19:45:33.1794010Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/colorful.cpython-313.pyc
2025-08-26T19:45:33.1795380Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/borland.cpython-313.pyc
2025-08-26T19:45:33.1796830Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/arduino.cpython-313.pyc
2025-08-26T19:45:33.1798140Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/onedark.cpython-313.pyc
2025-08-26T19:45:33.1799610Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/stata_dark.cpython-313.pyc
2025-08-26T19:45:33.1801160Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/fruity.cpython-313.pyc
2025-08-26T19:45:33.1802860Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/lightbulb.cpython-313.pyc
2025-08-26T19:45:33.1804340Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/algol_nu.cpython-313.pyc
2025-08-26T19:45:33.1805860Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/lilypond.cpython-313.pyc
2025-08-26T19:45:33.1807420Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/gh_dark.cpython-313.pyc
2025-08-26T19:45:33.1808970Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/manni.cpython-313.pyc
2025-08-26T19:45:33.1810250Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/igor.cpython-313.pyc
2025-08-26T19:45:33.1811670Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/material.cpython-313.pyc
2025-08-26T19:45:33.1813180Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/murphy.cpython-313.pyc
2025-08-26T19:45:33.1814920Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/lovelace.cpython-313.pyc
2025-08-26T19:45:33.1816260Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/vs.cpython-313.pyc
2025-08-26T19:45:33.1817570Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/nord.cpython-313.pyc
2025-08-26T19:45:33.1819140Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/inkpot.cpython-313.pyc
2025-08-26T19:45:33.1820540Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/coffee.cpython-313.pyc
2025-08-26T19:45:33.1821940Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/gruvbox.cpython-313.pyc
2025-08-26T19:45:33.1823570Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/friendly_grayscale.cpython-313.pyc
2025-08-26T19:45:33.1824950Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/paraiso_light.cpython-313.pyc
2025-08-26T19:45:33.1826240Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/zenburn.cpython-313.pyc
2025-08-26T19:45:33.1827700Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/stata_light.cpython-313.pyc
2025-08-26T19:45:33.1829050Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/rrt.cpython-313.pyc
2025-08-26T19:45:33.1830460Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/autumn.cpython-313.pyc
2025-08-26T19:45:33.1832090Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/pastie.cpython-313.pyc
2025-08-26T19:45:33.1833580Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/paraiso_dark.cpython-313.pyc
2025-08-26T19:45:33.1834860Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/sas.cpython-313.pyc
2025-08-26T19:45:33.1836260Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/dracula.cpython-313.pyc
2025-08-26T19:45:33.1837760Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/solarized.cpython-313.pyc
2025-08-26T19:45:33.1839280Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/native.cpython-313.pyc
2025-08-26T19:45:33.1840610Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/emacs.cpython-313.pyc
2025-08-26T19:45:33.1842210Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/default.cpython-313.pyc
2025-08-26T19:45:33.1843700Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/tango.cpython-313.pyc
2025-08-26T19:45:33.1845270Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/rainbow_dash.cpython-313.pyc
2025-08-26T19:45:33.1846520Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/bw.cpython-313.pyc
2025-08-26T19:45:33.1847960Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/abap.cpython-313.pyc
2025-08-26T19:45:33.1849290Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/perldoc.cpython-313.pyc
2025-08-26T19:45:33.1850850Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/_mapping.cpython-313.pyc
2025-08-26T19:45:33.1852330Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/friendly.cpython-313.pyc
2025-08-26T19:45:33.1853720Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/vim.cpython-313.pyc
2025-08-26T19:45:33.1855110Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/monokai.cpython-313.pyc
2025-08-26T19:45:33.1856510Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/trac.cpython-313.pyc
2025-08-26T19:45:33.1858000Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/__init__.cpython-313.pyc
2025-08-26T19:45:33.1859540Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/staroffice.cpython-313.pyc
2025-08-26T19:45:33.1860650Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/colorful.py
2025-08-26T19:45:33.1861810Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/lilypond.py
2025-08-26T19:45:33.1862950Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/igor.py
2025-08-26T19:45:33.1864050Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/zenburn.py
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2025-08-26T19:45:33.1866070Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/emacs.py
2025-08-26T19:45:33.1867220Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/dracula.py
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2025-08-26T19:45:33.1873030Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/default.py
2025-08-26T19:45:33.1873420Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/paraiso_light.py
2025-08-26T19:45:33.1873680Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/lovelace.py
2025-08-26T19:45:33.1873900Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/stata_dark.py
2025-08-26T19:45:33.1874110Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/vim.py
2025-08-26T19:45:33.1875260Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/borland.py
2025-08-26T19:45:33.1876400Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/coffee.py
2025-08-26T19:45:33.1877510Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/_mapping.py
2025-08-26T19:45:33.1878470Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/murphy.py
2025-08-26T19:45:33.1879400Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/lightbulb.py
2025-08-26T19:45:33.1880290Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/fruity.py
2025-08-26T19:45:33.1881150Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/abap.py
2025-08-26T19:45:33.1882090Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/rainbow_dash.py
2025-08-26T19:45:33.1883090Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/manni.py
2025-08-26T19:45:33.1883890Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/autumn.py
2025-08-26T19:45:33.1884950Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/rrt.py
2025-08-26T19:45:33.1885740Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/perldoc.py
2025-08-26T19:45:33.1886690Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/trac.py
2025-08-26T19:45:33.1887460Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/algol.py
2025-08-26T19:45:33.1888480Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/arduino.py
2025-08-26T19:45:33.1889250Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/nord.py
2025-08-26T19:45:33.1890330Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/stata_light.py
2025-08-26T19:45:33.1891110Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/unistring.py
2025-08-26T19:45:33.1892230Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexer.py
2025-08-26T19:45:33.1893510Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/regexopt.py
2025-08-26T19:45:33.1894490Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/plugin.py
2025-08-26T19:45:33.1895580Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/filter.py
2025-08-26T19:45:33.1896690Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__main__.py
2025-08-26T19:45:33.1897740Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/yacc.py
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2025-08-26T19:45:33.1900070Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/ctokens.py
2025-08-26T19:45:33.1901210Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/__init__.py
2025-08-26T19:45:33.1902620Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/__pycache__/lex.cpython-313.pyc
2025-08-26T19:45:33.1903920Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/__pycache__/ygen.cpython-313.pyc
2025-08-26T19:45:33.1905130Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/__pycache__/yacc.cpython-313.pyc
2025-08-26T19:45:33.1906540Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/__pycache__/ctokens.cpython-313.pyc
2025-08-26T19:45:33.1907990Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/__pycache__/__init__.cpython-313.pyc
2025-08-26T19:45:33.1909390Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/__pycache__/cpp.cpython-313.pyc
2025-08-26T19:45:33.1910420Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/cpp.py
2025-08-26T19:45:33.1911480Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/ygen.py
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2025-08-26T19:45:33.1916080Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/_c_ast.cfg
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2025-08-26T19:45:33.1919120Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/ast_transforms.cpython-313.pyc
2025-08-26T19:45:33.1920310Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/c_lexer.cpython-313.pyc
2025-08-26T19:45:33.1921820Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/plyparser.cpython-313.pyc
2025-08-26T19:45:33.1923090Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/lextab.cpython-313.pyc
2025-08-26T19:45:33.1924480Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/c_ast.cpython-313.pyc
2025-08-26T19:45:33.1925880Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/c_parser.cpython-313.pyc
2025-08-26T19:45:33.1927310Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/yacctab.cpython-313.pyc
2025-08-26T19:45:33.1928750Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/_build_tables.cpython-313.pyc
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2025-08-26T19:45:33.2603880Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/backends/__init__.py
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2025-08-26T19:45:33.2617680Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/kdf/argon2.py
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2025-08-26T19:45:33.2627790Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/kdf/__pycache__/scrypt.cpython-313.pyc
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2025-08-26T19:45:33.2637370Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/kdf/hkdf.py
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2025-08-26T19:45:33.2649420Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/twofactor/__pycache__/hotp.cpython-313.pyc
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2025-08-26T19:45:33.2666860Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/cmac.py
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2025-08-26T19:45:33.2674300Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/_cipheralgorithm.cpython-313.pyc
2025-08-26T19:45:33.2675670Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/hashes.cpython-313.pyc
2025-08-26T19:45:33.2677430Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/keywrap.cpython-313.pyc
2025-08-26T19:45:33.2678980Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/hmac.cpython-313.pyc
2025-08-26T19:45:33.2680750Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/cmac.cpython-313.pyc
2025-08-26T19:45:33.2682610Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/constant_time.cpython-313.pyc
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2025-08-26T19:45:33.2685810Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/padding.cpython-313.pyc
2025-08-26T19:45:33.2687380Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/_cipheralgorithm.py
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2025-08-26T19:45:33.2698020Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/ciphers/__pycache__/algorithms.cpython-313.pyc
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2025-08-26T19:45:33.2719210Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/rsa.cpython-313.pyc
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2025-08-26T19:45:33.2732880Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/dsa.cpython-313.pyc
2025-08-26T19:45:33.2734690Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/padding.cpython-313.pyc
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2025-08-26T19:45:33.2745730Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/hmac.py
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2025-08-26T19:45:33.2760880Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/ec.pyi
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2025-08-26T19:45:33.2763760Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/cmac.pyi
2025-08-26T19:45:33.2765210Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/ciphers.pyi
2025-08-26T19:45:33.2766810Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/__init__.pyi
2025-08-26T19:45:33.2768210Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/hashes.pyi
2025-08-26T19:45:33.2769900Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/kdf.pyi
2025-08-26T19:45:33.2771410Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/rsa.pyi
2025-08-26T19:45:33.2772800Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/keys.pyi
2025-08-26T19:45:33.2774130Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/x448.pyi
2025-08-26T19:45:33.2775610Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/x25519.pyi
2025-08-26T19:45:33.2777240Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/ed448.pyi
2025-08-26T19:45:33.2778620Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/poly1305.pyi
2025-08-26T19:45:33.2780040Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/aead.pyi
2025-08-26T19:45:33.2781520Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/dh.pyi
2025-08-26T19:45:33.2782950Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/hmac.pyi
2025-08-26T19:45:33.2784370Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/pkcs12.pyi
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2025-08-26T19:45:33.3031680Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/reference.cpython-313.pyc
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2025-08-26T19:45:33.7158430Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/conda_package_handling-2.4.0.dist-info/top_level.txt
2025-08-26T19:45:33.7159910Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/conda_package_handling-2.4.0.dist-info/REQUESTED
2025-08-26T19:45:33.7161360Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/conda_package_handling-2.4.0.dist-info/INSTALLER
2025-08-26T19:45:33.7162790Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/conda_package_handling-2.4.0.dist-info/METADATA
2025-08-26T19:45:33.7163880Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/typing_inspection/__init__.py
2025-08-26T19:45:33.7165240Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/typing_inspection/typing_objects.pyi
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2025-08-26T19:45:33.7168440Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/typing_inspection/__pycache__/introspection.cpython-313.pyc
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2025-08-26T19:45:33.7174480Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/readchar/_win_key.py
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2025-08-26T19:45:33.7185550Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/readchar/__pycache__/_posix_key.cpython-313.pyc
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2025-08-26T19:45:33.7189250Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/readchar/_posix_key.py
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2025-08-26T19:45:33.7193460Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/readchar/_posix_read.py
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2025-08-26T19:45:33.7210560Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/conda_package_streaming/__pycache__/create.cpython-313.pyc
2025-08-26T19:45:33.7212120Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/conda_package_streaming/__pycache__/transmute.cpython-313.pyc
2025-08-26T19:45:33.7213780Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/conda_package_streaming/__pycache__/exceptions.cpython-313.pyc
2025-08-26T19:45:33.7215420Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/conda_package_streaming/__pycache__/lazy_wheel.cpython-313.pyc
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2025-08-26T19:45:33.7221290Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/conda_package_streaming/__pycache__/url.cpython-313.pyc
2025-08-26T19:45:33.7222500Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/conda_package_streaming/transmute.py
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2025-08-26T19:45:33.7229840Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic_core/__init__.py
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2025-08-26T19:45:33.7237480Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pydantic_core/py.typed
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2025-08-26T19:45:33.7253710Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/anaconda_cloud_auth/__pycache__/exceptions.cpython-313.pyc
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2025-08-26T19:45:33.7257400Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/anaconda_cloud_auth/cli.py
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2025-08-26T19:45:33.7272100Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/scalarint.py
2025-08-26T19:45:33.7273190Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/scalarbool.py
2025-08-26T19:45:33.7274500Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/configobjwalker.py
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2025-08-26T19:45:33.7276710Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/representer.py
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2025-08-26T19:45:33.7278950Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/dumper.py
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2025-08-26T19:45:33.7283380Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/resolver.cpython-313.pyc
2025-08-26T19:45:33.7284830Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/representer.cpython-313.pyc
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2025-08-26T19:45:33.7287690Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/reader.cpython-313.pyc
2025-08-26T19:45:33.7289070Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/cyaml.cpython-313.pyc
2025-08-26T19:45:33.7290680Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/scalarfloat.cpython-313.pyc
2025-08-26T19:45:33.7292040Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/scalarstring.cpython-313.pyc
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2025-08-26T19:45:33.7294720Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/compat.cpython-313.pyc
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2025-08-26T19:45:33.7299020Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/configobjwalker.cpython-313.pyc
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2025-08-26T19:45:33.7301890Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/scalarint.cpython-313.pyc
2025-08-26T19:45:33.7303330Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/anchor.cpython-313.pyc
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2025-08-26T19:45:33.7307290Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/composer.cpython-313.pyc
2025-08-26T19:45:33.7308600Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/error.cpython-313.pyc
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2025-08-26T19:45:33.7311250Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/events.cpython-313.pyc
2025-08-26T19:45:33.7312650Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/emitter.cpython-313.pyc
2025-08-26T19:45:33.7313800Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/dumper.cpython-313.pyc
2025-08-26T19:45:33.7315040Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/constructor.cpython-313.pyc
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2025-08-26T19:45:33.7319290Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/ruamel/yaml/__pycache__/docinfo.cpython-313.pyc
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2025-08-26T19:45:33.8338270Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_servers.3
2025-08-26T19:45:33.8339440Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_mapping.3
2025-08-26T19:45:33.8340540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_method_pref.3
2025-08-26T19:45:33.8341350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_init.3
2025-08-26T19:45:33.8342400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_reinit.3
2025-08-26T19:45:33.8343380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_new.3
2025-08-26T19:45:33.8344310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_init.3
2025-08-26T19:45:33.8345330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_opt_cnt.3
2025-08-26T19:45:33.8346340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_local_ip4.3
2025-08-26T19:45:33.8347760Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_handle_extended_data2.3
2025-08-26T19:45:33.8348670Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_callback_set.3
2025-08-26T19:45:33.8349990Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_setenv_ex.3
2025-08-26T19:45:33.8350830Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_open.3
2025-08-26T19:45:33.8352060Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_open_ex.3
2025-08-26T19:45:33.8352850Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_queue.3
2025-08-26T19:45:33.8353800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_u16.3
2025-08-26T19:45:33.8354870Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_startup.3
2025-08-26T19:45:33.8355870Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_search_dnsrec.3
2025-08-26T19:45:33.8356640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_extract.3
2025-08-26T19:45:33.8357420Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_destroy.3
2025-08-26T19:45:33.8358420Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_util.3
2025-08-26T19:45:33.8359180Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ffi_call.3
2025-08-26T19:45:33.8360520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_get_identity.3
2025-08-26T19:45:33.8361350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_blocksize.3
2025-08-26T19:45:33.8362730Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_password.3
2025-08-26T19:45:33.8363520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_parse.3
2025-08-26T19:45:33.8364590Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_seek.3
2025-08-26T19:45:33.8365560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_open_ex.3
2025-08-26T19:45:33.8366500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_inet_pton.3
2025-08-26T19:45:33.8367560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_subsystem.3
2025-08-26T19:45:33.8368630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rewind.3
2025-08-26T19:45:33.8369760Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_last_error.3
2025-08-26T19:45:33.8370900Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_request_pty.3
2025-08-26T19:45:33.8371960Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_process.3
2025-08-26T19:45:33.8373490Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_request_pty_ex.3
2025-08-26T19:45:33.8374330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_create_query.3
2025-08-26T19:45:33.8375370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_banner_set.3
2025-08-26T19:45:33.8376510Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_request_auth_agent.3
2025-08-26T19:45:33.8377600Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_destroy.3
2025-08-26T19:45:33.8378690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_svcb_param_t.3
2025-08-26T19:45:33.8379810Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_servers_csv.3
2025-08-26T19:45:33.8381110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_supported_algs.3
2025-08-26T19:45:33.8382100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_shutdown.3
2025-08-26T19:45:33.8383100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_check.3
2025-08-26T19:45:33.8384140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_free.3
2025-08-26T19:45:33.8385410Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_query_add.3
2025-08-26T19:45:33.8386540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_write.3
2025-08-26T19:45:33.8387520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_stat.3
2025-08-26T19:45:33.8388540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rec_type_t.3
2025-08-26T19:45:33.8389430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_opt_byid.3
2025-08-26T19:45:33.8390400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_library_init.3
2025-08-26T19:45:33.8391480Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_key_tostr.3
2025-08-26T19:45:33.8392640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_free_string.3
2025-08-26T19:45:33.8393640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_posix_rename.3
2025-08-26T19:45:33.8394860Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_create.3
2025-08-26T19:45:33.8395650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_connect.3
2025-08-26T19:45:33.8396500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_getsock.3
2025-08-26T19:45:33.8397490Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_u16.3
2025-08-26T19:45:33.8398380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_addr6.3
2025-08-26T19:45:33.8399240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_mkquery.3
2025-08-26T19:45:33.8400040Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_write.3
2025-08-26T19:45:33.8401120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_handshake.3
2025-08-26T19:45:33.8402220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_del_opt_byid.3
2025-08-26T19:45:33.8403360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rec_type_fromstr.3
2025-08-26T19:45:33.8404630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_misc.3
2025-08-26T19:45:33.8405880Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_list_free.3
2025-08-26T19:45:33.8406830Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libsolv-bindings.3
2025-08-26T19:45:33.8407910Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_servers_ports_csv.3
2025-08-26T19:45:33.8408820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_free.3
2025-08-26T19:45:33.8409670Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_freeaddrinfo.3
2025-08-26T19:45:33.8410860Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_writeline.3
2025-08-26T19:45:33.8411790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_mkdir.3
2025-08-26T19:45:33.8412840Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_symlink.3
2025-08-26T19:45:33.8413920Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libsolv-constantids.3
2025-08-26T19:45:33.8414920Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_exec.3
2025-08-26T19:45:33.8415980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_opendir.3
2025-08-26T19:45:33.8417350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_receive_window_adjust2.3
2025-08-26T19:45:33.8418160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/iconv_close.3
2025-08-26T19:45:33.8419200Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_filter.3
2025-08-26T19:45:33.8420390Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_destroy_options.3
2025-08-26T19:45:33.8421400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_data.3
2025-08-26T19:45:33.8422230Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ffi_prep_cif_var.3
2025-08-26T19:45:33.8423540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_forward_listen.3
2025-08-26T19:45:33.8424460Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_rr_get.3
2025-08-26T19:45:33.8425390Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_close.3
2025-08-26T19:45:33.8426100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_fds.3
2025-08-26T19:45:33.8427220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_gethostbyname.3
2025-08-26T19:45:33.8428310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_flush_stderr.3
2025-08-26T19:45:33.8429200Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_last_error.3
2025-08-26T19:45:33.8430230Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_abin.3
2025-08-26T19:45:33.8431220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_init_options.3
2025-08-26T19:45:33.8432350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_process_startup.3
2025-08-26T19:45:33.8433280Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_keys.3
2025-08-26T19:45:33.8434590Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_userauth.3
2025-08-26T19:45:33.8435610Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_type.3
2025-08-26T19:45:33.8436400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_timeout.3
2025-08-26T19:45:33.8437540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_add.3
2025-08-26T19:45:33.8438440Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_getnameinfo.3
2025-08-26T19:45:33.8439390Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_trace.3
2025-08-26T19:45:33.8440600Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_get_timeout.3
2025-08-26T19:45:33.8441590Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_local_dev.3
2025-08-26T19:45:33.8442600Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_disk.3
2025-08-26T19:45:33.8443790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_banner_set.3
2025-08-26T19:45:33.8444620Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read.3
2025-08-26T19:45:33.8445790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_unlink_ex.3
2025-08-26T19:45:33.8447060Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/iconv_open_into.3
2025-08-26T19:45:33.8448100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_close.3
2025-08-26T19:45:33.8448940Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_section_t.3
2025-08-26T19:45:33.8449900Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_gethostbyname_file.3
2025-08-26T19:45:33.8450930Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_process_pending_write.3
2025-08-26T19:45:33.8452000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_close_handle.3
2025-08-26T19:45:33.8452870Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_send_ex.3
2025-08-26T19:45:33.8453790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_get_servers_csv.3
2025-08-26T19:45:33.8454660Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_write_ex.3
2025-08-26T19:45:33.8455710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_opt_get_datatype.3
2025-08-26T19:45:33.8456850Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_shell.3
2025-08-26T19:45:33.8457990Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_init.3
2025-08-26T19:45:33.8458950Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_list.3
2025-08-26T19:45:33.8460020Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_opcode_t.3
2025-08-26T19:45:33.8461000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_signal_ex.3
2025-08-26T19:45:33.8462000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_read_stderr.3
2025-08-26T19:45:33.8462960Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_set_id.3
2025-08-26T19:45:33.8464090Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_get_servers_ports.3
2025-08-26T19:45:33.8464970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_window_read_ex.3
2025-08-26T19:45:33.8465690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_opt_get_name.3
2025-08-26T19:45:33.8466340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_free.3
2025-08-26T19:45:33.8467050Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr.3
2025-08-26T19:45:33.8467930Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_soa_reply.3
2025-08-26T19:45:33.8468510Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_naptr_reply.3
2025-08-26T19:45:33.8469200Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_stat.3
2025-08-26T19:45:33.8470010Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_key_to_rec_type.3
2025-08-26T19:45:33.8470790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_addc.3
2025-08-26T19:45:33.8471470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_a_reply.3
2025-08-26T19:45:33.8472440Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_open_session.3
2025-08-26T19:45:33.8473180Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_socket_configure_callback.3
2025-08-26T19:45:33.8473830Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_open.3
2025-08-26T19:45:33.8474650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_readline.3
2025-08-26T19:45:33.8475500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_set_identity_path.3
2025-08-26T19:45:33.8476210Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_opt_param_t.3
2025-08-26T19:45:33.8477000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_banner_get.3
2025-08-26T19:45:33.8477770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_get_id.3
2025-08-26T19:45:33.8478810Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_checkp.3
2025-08-26T19:45:33.8479460Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_ignore_extended_data.3
2025-08-26T19:45:33.8480150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_write.3
2025-08-26T19:45:33.8480960Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_forward_cancel.3
2025-08-26T19:45:33.8481640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rcode_tostr.3
2025-08-26T19:45:33.8482360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_format.3
2025-08-26T19:45:33.8483150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_add_ex.3
2025-08-26T19:45:33.8484160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_keepalive_config.3
2025-08-26T19:45:33.8484580Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rmdir.3
2025-08-26T19:45:33.8485420Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_disconnect.3
2025-08-26T19:45:33.8486130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_symlink_ex.3
2025-08-26T19:45:33.8486910Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_pending_write_cb.3
2025-08-26T19:45:33.8487610Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_ttl.3
2025-08-26T19:45:33.8488120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ev.3
2025-08-26T19:45:33.8488910Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_paths.3
2025-08-26T19:45:33.8489780Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ffi_prep_cif.3
2025-08-26T19:45:33.8490220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_version.3
2025-08-26T19:45:33.8490950Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_name.3
2025-08-26T19:45:33.8491470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ffi.3
2025-08-26T19:45:33.8492320Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_unlink.3
2025-08-26T19:45:33.8492960Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_key_t.3
2025-08-26T19:45:33.8493600Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_send.3
2025-08-26T19:45:33.8494560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_library_init_android.3
2025-08-26T19:45:33.8495080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_strerror.3
2025-08-26T19:45:33.8495950Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey.3
2025-08-26T19:45:33.8496650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_filter.3
2025-08-26T19:45:33.8497340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_open.3
2025-08-26T19:45:33.8498070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rmdir_ex.3
2025-08-26T19:45:33.8498810Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_base64_decode.3
2025-08-26T19:45:33.8499780Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sign_sk.3
2025-08-26T19:45:33.8500450Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_lstat.3
2025-08-26T19:45:33.8501030Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libsolv.3
2025-08-26T19:45:33.8501810Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_class_fromstr.3
2025-08-26T19:45:33.8502620Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_socket_functions_ex.3
2025-08-26T19:45:33.8503220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_send.3
2025-08-26T19:45:33.8504000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_init.3
2025-08-26T19:45:33.8504710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_read.3
2025-08-26T19:45:33.8505730Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_password_ex.3
2025-08-26T19:45:33.8506390Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_get_opcode.3
2025-08-26T19:45:33.8506970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/iconv_open.3
2025-08-26T19:45:33.8507850Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey_sk.3
2025-08-26T19:45:33.8508540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_data.3
2025-08-26T19:45:33.8509250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_aaaa_reply.3
2025-08-26T19:45:33.8510110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_request_pty_size.3
2025-08-26T19:45:33.8511050Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_write_stderr.3
2025-08-26T19:45:33.8511820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_crypto_engine.3
2025-08-26T19:45:33.8512760Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_add.3
2025-08-26T19:45:33.8513740Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_get_exit_signal.3
2025-08-26T19:45:33.8514760Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record.3
2025-08-26T19:45:33.8515610Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_time.3
2025-08-26T19:45:33.8516650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_socket_callback.3
2025-08-26T19:45:33.8517530Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_flags_t.3
2025-08-26T19:45:33.8518490Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_ns_reply.3
2025-08-26T19:45:33.8519370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_rr_cnt.3
2025-08-26T19:45:33.8520340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_add_abin.3
2025-08-26T19:45:33.8521280Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_getaddrinfo.3
2025-08-26T19:45:33.8522390Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_read_timeout.3
2025-08-26T19:45:33.8523300Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_caa_reply.3
2025-08-26T19:45:33.8524460Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_get_read_timeout.3
2025-08-26T19:45:33.8525380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_addr6.3
2025-08-26T19:45:33.8526260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_free.3
2025-08-26T19:45:33.8527460Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_forward_listen_ex.3
2025-08-26T19:45:33.8528360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fstatvfs.3
2025-08-26T19:45:33.8529280Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_linkify.3
2025-08-26T19:45:33.8530220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_setenv.3
2025-08-26T19:45:33.8531140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_tell.3
2025-08-26T19:45:33.8532330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_hostbased_fromfile.3
2025-08-26T19:45:33.8533340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry.3
2025-08-26T19:45:33.8534450Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_poll_channel_read.3
2025-08-26T19:45:33.8535650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_hostbased_fromfile_ex.3
2025-08-26T19:45:33.8536860Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey_frommemory.3
2025-08-26T19:45:33.8537790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_trace_sethandler.3
2025-08-26T19:45:33.8538580Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write.3
2025-08-26T19:45:33.8539650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_remove_ex.3
2025-08-26T19:45:33.8540480Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_free.3
2025-08-26T19:45:33.8541360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_realpath.3
2025-08-26T19:45:33.8542360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rec_type_tostr.3
2025-08-26T19:45:33.8543160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_init.3
2025-08-26T19:45:33.8544180Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_rr_add.3
2025-08-26T19:45:33.8545090Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_abin_cnt.3
2025-08-26T19:45:33.8546290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_list_fetch.3
2025-08-26T19:45:33.8547130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_x11_req.3
2025-08-26T19:45:33.8548260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_remove.3
2025-08-26T19:45:33.8549290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_add_passphrase.3
2025-08-26T19:45:33.8550230Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_methods.3
2025-08-26T19:45:33.8551420Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_seek64.3
2025-08-26T19:45:33.8552450Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_query_set_type.3
2025-08-26T19:45:33.8553470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_opt.3
2025-08-26T19:45:33.8554560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_posix_rename_ex.3
2025-08-26T19:45:33.8555650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_block_directions.3
2025-08-26T19:45:33.8556520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_eof.3
2025-08-26T19:45:33.8557340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_process_fd.3
2025-08-26T19:45:33.8558570Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_flag.3
2025-08-26T19:45:33.8559360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_exit.3
2025-08-26T19:45:33.8560290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_sortlist.3
2025-08-26T19:45:33.8561270Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_poll.3
2025-08-26T19:45:33.8562240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_free.3
2025-08-26T19:45:33.8563380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_receive_window_adjust.3
2025-08-26T19:45:33.8564260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_free_hostent.3
2025-08-26T19:45:33.8565120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_u8.3
2025-08-26T19:45:33.8566110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_init_ex.3
2025-08-26T19:45:33.8567260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_window_write_ex.3
2025-08-26T19:45:33.8568100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_tlsa_selector_t.3
2025-08-26T19:45:33.8569180Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_timeout.3
2025-08-26T19:45:33.8570240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_blocking.3
2025-08-26T19:45:33.8571070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_u8.3
2025-08-26T19:45:33.8572020Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_query_get.3
2025-08-26T19:45:33.8572820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_local_ip6.3
2025-08-26T19:45:33.8573910Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_window_write.3
2025-08-26T19:45:33.8574800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libsolv-pool.3
2025-08-26T19:45:33.8575930Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_direct_tcpip.3
2025-08-26T19:45:33.8576810Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_get_flags.3
2025-08-26T19:45:33.8577560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/iconvctl.3
2025-08-26T19:45:33.8578460Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_opt.3
2025-08-26T19:45:33.8579530Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_writefile.3
2025-08-26T19:45:33.8580670Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/readline.3
2025-08-26T19:45:33.8581440Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_disconnect_ex.3
2025-08-26T19:45:33.8582330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_txt_reply.3
2025-08-26T19:45:33.8583190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_send_dnsrec.3
2025-08-26T19:45:33.8584350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_disconnect.3
2025-08-26T19:45:33.8585370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_class.3
2025-08-26T19:45:33.8586410Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_x11_req_ex.3
2025-08-26T19:45:33.8587440Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey_fromfile.3
2025-08-26T19:45:33.8588200Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_readlink.3
2025-08-26T19:45:33.8589110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_header.3
2025-08-26T19:45:33.8590160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rename_ex.3
2025-08-26T19:45:33.8591120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_keepalive_send.3
2025-08-26T19:45:33.8592200Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_opt_datatype_t.3
2025-08-26T19:45:33.8593100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_acl.3
2025-08-26T19:45:33.8593900Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_hostkey_hash.3
2025-08-26T19:45:33.8594750Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_search.3
2025-08-26T19:45:33.8595610Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fstat.3
2025-08-26T19:45:33.8596570Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_abstract.3
2025-08-26T19:45:33.8597630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_query_set_name.3
2025-08-26T19:45:33.8602290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_rr_get_const.3
2025-08-26T19:45:33.8602570Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_datatype_t.3
2025-08-26T19:45:33.8602730Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_mx_reply.3
2025-08-26T19:45:33.8602890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_section_tostr.3
2025-08-26T19:45:33.8603040Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_opcode_tostr.3
2025-08-26T19:45:33.8603190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_recv2.3
2025-08-26T19:45:33.8603890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_open_ex_r.3
2025-08-26T19:45:33.8605080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_keyboard_interactive.3
2025-08-26T19:45:33.8606240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fsetstat.3
2025-08-26T19:45:33.8607210Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_shutdown.3
2025-08-26T19:45:33.8608150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_wait_eof.3
2025-08-26T19:45:33.8609000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_version.3
2025-08-26T19:45:33.8609950Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_srv_reply.3
2025-08-26T19:45:33.8610930Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_gethostbyaddr.3
2025-08-26T19:45:33.8612140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_direct_tcpip_ex.3
2025-08-26T19:45:33.8612790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_class_t.3
2025-08-26T19:45:33.8613790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_socket_functions.3
2025-08-26T19:45:33.8615130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_stat_ex.3
2025-08-26T19:45:33.8616070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_key_datatype.3
2025-08-26T19:45:33.8617460Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_get_identity_path.3
2025-08-26T19:45:33.8618490Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_process_fds.3
2025-08-26T19:45:33.8619220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dup.3
2025-08-26T19:45:33.8620320Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_set_blocking.3
2025-08-26T19:45:33.8621430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fstat_ex.3
2025-08-26T19:45:33.8622410Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_recv.3
2025-08-26T19:45:33.8623310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_new.3
2025-08-26T19:45:33.8624340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_get.3
2025-08-26T19:45:33.8625630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_bin.3
2025-08-26T19:45:33.8626560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_free.3
2025-08-26T19:45:33.8627630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_sign.3
2025-08-26T19:45:33.8628510Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_servers_ports.3
2025-08-26T19:45:33.8629640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_readfile.3
2025-08-26T19:45:33.8630710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_library_cleanup.3
2025-08-26T19:45:33.8631590Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_addr.3
2025-08-26T19:45:33.8632820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libarchive_changes.3
2025-08-26T19:45:33.8633950Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_banner.3
2025-08-26T19:45:33.8634900Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_setstat.3
2025-08-26T19:45:33.8635970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_get_rcode.3
2025-08-26T19:45:33.8636870Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_tell64.3
2025-08-26T19:45:33.8638000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_threadsafety.3
2025-08-26T19:45:33.8639080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_authenticated.3
2025-08-26T19:45:33.8640250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_send64.3
2025-08-26T19:45:33.8641250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libarchive.3
2025-08-26T19:45:33.8642510Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_str.3
2025-08-26T19:45:33.8643370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libarchive_internals.3
2025-08-26T19:45:33.8644280Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_queue_wait_empty.3
2025-08-26T19:45:33.8645200Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_set_options.3
2025-08-26T19:45:33.8646360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_free_data.3
2025-08-26T19:45:33.8647320Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_tlsa_usage_t.3
2025-08-26T19:45:33.8648370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_library_initialized.3
2025-08-26T19:45:33.8649250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_init.3
2025-08-26T19:45:33.8650510Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_u32.3
2025-08-26T19:45:33.8651490Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_query_dnsrec.3
2025-08-26T19:45:33.8652690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_last_error.3
2025-08-26T19:45:33.8653950Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_query_cnt.3
2025-08-26T19:45:33.8655210Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_list_identities.3
2025-08-26T19:45:33.8656070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_uri_reply.3
2025-08-26T19:45:33.8657290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_get_servers.3
2025-08-26T19:45:33.8658350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rename.3
2025-08-26T19:45:33.8659170Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_query.3
2025-08-26T19:45:33.8659970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_finish_entry.3
2025-08-26T19:45:33.8660700Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_closedir.3
2025-08-26T19:45:33.8661430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fsync.3
2025-08-26T19:45:33.8662120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_open_r.3
2025-08-26T19:45:33.8662830Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_tlsa_match_t.3
2025-08-26T19:45:33.8663660Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_set_options.3
2025-08-26T19:45:33.8664560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_handle_extended_data.3
2025-08-26T19:45:33.8665580Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_get_blocking.3
2025-08-26T19:45:33.8666130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_ptr_reply.3
2025-08-26T19:45:33.8667080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_request_pty_size_ex.3
2025-08-26T19:45:33.8667690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_readdir_ex.3
2025-08-26T19:45:33.8668430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_u32.3
2025-08-26T19:45:33.8669200Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_last_errno.3
2025-08-26T19:45:33.8670100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_queue_active_queries.3
2025-08-26T19:45:33.8670690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_addr.3
2025-08-26T19:45:33.8671690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_read_ex.3
2025-08-26T19:45:33.8672180Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_save_options.3
2025-08-26T19:45:33.8673000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_hostkey.3
2025-08-26T19:45:33.8673590Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_inet_ntop.3
2025-08-26T19:45:33.8674290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_read.3
2025-08-26T19:45:33.8675060Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_send_eof.3
2025-08-26T19:45:33.8675990Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_forward_accept.3
2025-08-26T19:45:33.8676800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_direct_streamlocal_ex.3
2025-08-26T19:45:33.8677690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_readdir.3
2025-08-26T19:45:33.8678230Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_bin.3
2025-08-26T19:45:33.8678860Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_cancel.3
2025-08-26T19:45:33.8679730Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_server_state_callback.3
2025-08-26T19:45:33.8680500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_duplicate.3
2025-08-26T19:45:33.8682420Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_keyboard_interactive_ex.3
2025-08-26T19:45:33.8682640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_header.3
2025-08-26T19:45:33.8682790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rcode_t.3
2025-08-26T19:45:33.8683640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_class_tostr.3
2025-08-26T19:45:33.8684240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_str.3
2025-08-26T19:45:33.8684960Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_del.3
2025-08-26T19:45:33.8685770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_flush_ex.3
2025-08-26T19:45:33.8686720Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey_fromfile_ex.3
2025-08-26T19:45:33.8687380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_expand_name.3
2025-08-26T19:45:33.8688210Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_del_abin.3
2025-08-26T19:45:33.8688860Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_perms.3
2025-08-26T19:45:33.8689770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_callback_set2.3
2025-08-26T19:45:33.8690730Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_wait_closed.3
2025-08-26T19:45:33.8691520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_flush.3
2025-08-26T19:45:33.8692220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_mkdir_ex.3
2025-08-26T19:45:33.8693140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_init.3
2025-08-26T19:45:33.8693900Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/gensprep.8
2025-08-26T19:45:33.8694980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/genccode.8
2025-08-26T19:45:33.8695750Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/icupkg.8
2025-08-26T19:45:33.8696430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/gencmn.8
2025-08-26T19:45:33.8697250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lz4cat.1
2025-08-26T19:45:33.8698100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzma.1
2025-08-26T19:45:33.8699120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/icuexportdata.1
2025-08-26T19:45:33.8699810Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xmlwf.1
2025-08-26T19:45:33.8700770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/installcheck.1
2025-08-26T19:45:33.8701560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/unzstd.1
2025-08-26T19:45:33.8702340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzmore.1
2025-08-26T19:45:33.8703160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzmore.1
2025-08-26T19:45:33.8704040Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzmainfo.1
2025-08-26T19:45:33.8704880Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/mergesolv.1
2025-08-26T19:45:33.8705630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/python3.13.1
2025-08-26T19:45:33.8706400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstdcat.1
2025-08-26T19:45:33.8707160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzcat.1
2025-08-26T19:45:33.8707890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdtar.1
2025-08-26T19:45:33.8708720Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/unlz4.1
2025-08-26T19:45:33.8709440Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lz4.1
2025-08-26T19:45:33.8710320Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/icu-config.1
2025-08-26T19:45:33.8711000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/adig.1
2025-08-26T19:45:33.8711730Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzcmp.1
2025-08-26T19:45:33.8712510Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/python3.1
2025-08-26T19:45:33.8713250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/pkgdata.1
2025-08-26T19:45:33.8714050Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzdiff.1
2025-08-26T19:45:33.8714830Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/gendict.1
2025-08-26T19:45:33.8715630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzdiff.1
2025-08-26T19:45:33.8716300Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xz.1
2025-08-26T19:45:33.8717080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/ahost.1
2025-08-26T19:45:33.8717910Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/genrb.1
2025-08-26T19:45:33.8718640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzdec.1
2025-08-26T19:45:33.8719550Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/repo2solv.1
2025-08-26T19:45:33.8720350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzegrep.1
2025-08-26T19:45:33.8721050Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/iconv.1
2025-08-26T19:45:33.8721870Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/solv.1
2025-08-26T19:45:33.8722600Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/sqlite3.1
2025-08-26T19:45:33.8723490Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzgrep.1
2025-08-26T19:45:33.8724210Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzgrep.1
2025-08-26T19:45:33.8725270Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzegrep.1
2025-08-26T19:45:33.8726120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstdless.1
2025-08-26T19:45:33.8727090Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/dumpsolv.1
2025-08-26T19:45:33.8727860Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzless.1
2025-08-26T19:45:33.8728620Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/unlzma.1
2025-08-26T19:45:33.8729510Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdunzip.1
2025-08-26T19:45:33.8730190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdcpio.1
2025-08-26T19:45:33.8731080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/genbrk.1
2025-08-26T19:45:33.8731870Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzless.1
2025-08-26T19:45:33.8732810Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzfgrep.1
2025-08-26T19:45:33.8733630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/testsolv.1
2025-08-26T19:45:33.8734350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstd.1
2025-08-26T19:45:33.8735100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstdgrep.1
2025-08-26T19:45:33.8736010Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdcat.1
2025-08-26T19:45:33.8736780Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lz4c.1
2025-08-26T19:45:33.8737520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzcmp.1
2025-08-26T19:45:33.8738310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/unxz.1
2025-08-26T19:45:33.8739150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzfgrep.1
2025-08-26T19:45:33.8740190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/gencnval.1
2025-08-26T19:45:33.8741120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/makeconv.1
2025-08-26T19:45:33.8741710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzmadec.1
2025-08-26T19:45:33.8742510Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzcat.1
2025-08-26T19:45:33.8743240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/gencfu.1
2025-08-26T19:45:33.8744050Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/derb.1
2025-08-26T19:45:33.8745000Z /opt/homebrew/Caskroom/miniconda/base/share/aclocal/libxml.m4
2025-08-26T19:45:33.8746090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Mauritius
2025-08-26T19:45:33.8746870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Chagos
2025-08-26T19:45:33.8747650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Mayotte
2025-08-26T19:45:33.8748530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Christmas
2025-08-26T19:45:33.8749520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Cocos
2025-08-26T19:45:33.8750330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Maldives
2025-08-26T19:45:33.8751120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Comoro
2025-08-26T19:45:33.8752010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Reunion
2025-08-26T19:45:33.8752910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Mahe
2025-08-26T19:45:33.8753790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Kerguelen
2025-08-26T19:45:33.8754800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Antananarivo
2025-08-26T19:45:33.8755610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Faroe
2025-08-26T19:45:33.8756490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Canary
2025-08-26T19:45:33.8757310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Stanley
2025-08-26T19:45:33.8758090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Bermuda
2025-08-26T19:45:33.8759220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/South_Georgia
2025-08-26T19:45:33.8760020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/St_Helena
2025-08-26T19:45:33.8761330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Jan_Mayen
2025-08-26T19:45:33.8762240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Faeroe
2025-08-26T19:45:33.8763190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Reykjavik
2025-08-26T19:45:33.8764150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Cape_Verde
2025-08-26T19:45:33.8764910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Azores
2025-08-26T19:45:33.8765750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Madeira
2025-08-26T19:45:33.8766480Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/CST6CDT
2025-08-26T19:45:33.8767220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Poland
2025-08-26T19:45:33.8768130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Alaska
2025-08-26T19:45:33.8768980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Pacific
2025-08-26T19:45:33.8769850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Eastern
2025-08-26T19:45:33.8770770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Michigan
2025-08-26T19:45:33.8771840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Arizona
2025-08-26T19:45:33.8772790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Indiana-Starke
2025-08-26T19:45:33.8773860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Aleutian
2025-08-26T19:45:33.8774360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Hawaii
2025-08-26T19:45:33.8775260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/East-Indiana
2025-08-26T19:45:33.8776100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Central
2025-08-26T19:45:33.8776820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Mountain
2025-08-26T19:45:33.8777840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Samoa
2025-08-26T19:45:33.8778670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Kwajalein
2025-08-26T19:45:33.8779470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/leapseconds
2025-08-26T19:45:33.8780360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/DeNoronha
2025-08-26T19:45:33.8781160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/Acre
2025-08-26T19:45:33.8782040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/East
2025-08-26T19:45:33.8783160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/West
2025-08-26T19:45:33.8784020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Port_Moresby
2025-08-26T19:45:33.8784620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Chuuk
2025-08-26T19:45:33.8785550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Easter
2025-08-26T19:45:33.8786430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kwajalein
2025-08-26T19:45:33.8787460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Tongatapu
2025-08-26T19:45:33.8788360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Yap
2025-08-26T19:45:33.8789480Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Wallis
2025-08-26T19:45:33.8790270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Apia
2025-08-26T19:45:33.8791070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Norfolk
2025-08-26T19:45:33.8792040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Efate
2025-08-26T19:45:33.8793090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Fiji
2025-08-26T19:45:33.8794030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Funafuti
2025-08-26T19:45:33.8794870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Palau
2025-08-26T19:45:33.8795750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Guam
2025-08-26T19:45:33.8796550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Saipan
2025-08-26T19:45:33.8797540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kosrae
2025-08-26T19:45:33.8798270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Niue
2025-08-26T19:45:33.8799100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Ponape
2025-08-26T19:45:33.8800090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Wake
2025-08-26T19:45:33.8801030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Galapagos
2025-08-26T19:45:33.8801860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Johnston
2025-08-26T19:45:33.8802870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Midway
2025-08-26T19:45:33.8803660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Nauru
2025-08-26T19:45:33.8804520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Guadalcanal
2025-08-26T19:45:33.8805410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Chatham
2025-08-26T19:45:33.8806340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Auckland
2025-08-26T19:45:33.8807500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Noumea
2025-08-26T19:45:33.8808130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Fakaofo
2025-08-26T19:45:33.8808940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Tahiti
2025-08-26T19:45:33.8809820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Gambier
2025-08-26T19:45:33.8810700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Majuro
2025-08-26T19:45:33.8811710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Honolulu
2025-08-26T19:45:33.8812760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Pohnpei
2025-08-26T19:45:33.8813610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Pago_Pago
2025-08-26T19:45:33.8814360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Truk
2025-08-26T19:45:33.8815410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Pitcairn
2025-08-26T19:45:33.8816250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Marquesas
2025-08-26T19:45:33.8817010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kanton
2025-08-26T19:45:33.8817890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Bougainville
2025-08-26T19:45:33.8818890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Tarawa
2025-08-26T19:45:33.8819790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Rarotonga
2025-08-26T19:45:33.8820650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Samoa
2025-08-26T19:45:33.8821760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kiritimati
2025-08-26T19:45:33.8822590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Enderbury
2025-08-26T19:45:33.8823340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/zone1970.tab
2025-08-26T19:45:33.8824060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/MST
2025-08-26T19:45:33.8824810Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/NZ
2025-08-26T19:45:33.8825810Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Arctic/Longyearbyen
2025-08-26T19:45:33.8826570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Universal
2025-08-26T19:45:33.8827500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Libya
2025-08-26T19:45:33.8828100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Turkey
2025-08-26T19:45:33.8828920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/iso3166.tab
2025-08-26T19:45:33.8829730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/EST5EDT
2025-08-26T19:45:33.8830600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Greenwich
2025-08-26T19:45:33.8831520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Puerto_Rico
2025-08-26T19:45:33.8832470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Recife
2025-08-26T19:45:33.8833300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Resolute
2025-08-26T19:45:33.8834230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Manaus
2025-08-26T19:45:33.8835080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/New_York
2025-08-26T19:45:33.8836090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rankin_Inlet
2025-08-26T19:45:33.8836850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Lima
2025-08-26T19:45:33.8837830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Barthelemy
2025-08-26T19:45:33.8838830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santo_Domingo
2025-08-26T19:45:33.8839620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Detroit
2025-08-26T19:45:33.8840600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Paramaribo
2025-08-26T19:45:33.8841430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Yakutat
2025-08-26T19:45:33.8842270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santarem
2025-08-26T19:45:33.8843190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Punta_Arenas
2025-08-26T19:45:33.8844080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Scoresbysund
2025-08-26T19:45:33.8844990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santiago
2025-08-26T19:45:33.8845930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guyana
2025-08-26T19:45:33.8847050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Coral_Harbour
2025-08-26T19:45:33.8847980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rio_Branco
2025-08-26T19:45:33.8848960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Porto_Acre
2025-08-26T19:45:33.8849950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Ciudad_Juarez
2025-08-26T19:45:33.8850850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nipigon
2025-08-26T19:45:33.8851720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Edmonton
2025-08-26T19:45:33.8852670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Port_of_Spain
2025-08-26T19:45:33.8853660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Lower_Princes
2025-08-26T19:45:33.8854460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Thomas
2025-08-26T19:45:33.8855460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guatemala
2025-08-26T19:45:33.8856630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Catamarca
2025-08-26T19:45:33.8857630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Antigua
2025-08-26T19:45:33.8858230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Porto_Velho
2025-08-26T19:45:33.8859130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rosario
2025-08-26T19:45:33.8860210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Chicago
2025-08-26T19:45:33.8861150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Creston
2025-08-26T19:45:33.8861930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Managua
2025-08-26T19:45:33.8862760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nassau
2025-08-26T19:45:33.8863190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Bogota
2025-08-26T19:45:33.8863850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cancun
2025-08-26T19:45:33.8864510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Chihuahua
2025-08-26T19:45:33.8865230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Campo_Grande
2025-08-26T19:45:33.8865880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Halifax
2025-08-26T19:45:33.8867300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Boise
2025-08-26T19:45:33.8867980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Montreal
2025-08-26T19:45:33.8868640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Goose_Bay
2025-08-26T19:45:33.8869330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Sao_Paulo
2025-08-26T19:45:33.8870020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Blanc-Sablon
2025-08-26T19:45:33.8870670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Phoenix
2025-08-26T19:45:33.8871350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Atikokan
2025-08-26T19:45:33.8872000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cayenne
2025-08-26T19:45:33.8872630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nuuk
2025-08-26T19:45:33.8873600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santa_Isabel
2025-08-26T19:45:33.8874010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Boa_Vista
2025-08-26T19:45:33.8874740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Bahia_Banderas
2025-08-26T19:45:33.8875450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Vevay
2025-08-26T19:45:33.8876250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Indianapolis
2025-08-26T19:45:33.8877010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Winamac
2025-08-26T19:45:33.8878020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Tell_City
2025-08-26T19:45:33.8878520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Petersburg
2025-08-26T19:45:33.8879270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Vincennes
2025-08-26T19:45:33.8879950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Knox
2025-08-26T19:45:33.8880710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Marengo
2025-08-26T19:45:33.8881410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indianapolis
2025-08-26T19:45:33.8882060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Dominica
2025-08-26T19:45:33.8882870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Salta
2025-08-26T19:45:33.8883700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Ushuaia
2025-08-26T19:45:33.8884410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Catamarca
2025-08-26T19:45:33.8885340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/ComodRivadavia
2025-08-26T19:45:33.8885990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/San_Juan
2025-08-26T19:45:33.8887730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/San_Luis
2025-08-26T19:45:33.8887910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Rio_Gallegos
2025-08-26T19:45:33.8888350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Jujuy
2025-08-26T19:45:33.8889110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Tucuman
2025-08-26T19:45:33.8889910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Buenos_Aires
2025-08-26T19:45:33.8890710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Cordoba
2025-08-26T19:45:33.8891570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/La_Rioja
2025-08-26T19:45:33.8892190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Mendoza
2025-08-26T19:45:33.8892880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/La_Paz
2025-08-26T19:45:33.8893530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Dawson
2025-08-26T19:45:33.8894180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Moncton
2025-08-26T19:45:33.8894880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Matamoros
2025-08-26T19:45:33.8895560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Vincent
2025-08-26T19:45:33.8896190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Regina
2025-08-26T19:45:33.8897090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Yellowknife
2025-08-26T19:45:33.8897790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rainy_River
2025-08-26T19:45:33.8898460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Kralendijk
2025-08-26T19:45:33.8899140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Monterrey
2025-08-26T19:45:33.8899790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Jamaica
2025-08-26T19:45:33.8900450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Havana
2025-08-26T19:45:33.8901150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Tegucigalpa
2025-08-26T19:45:33.8901850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guayaquil
2025-08-26T19:45:33.8902750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Metlakatla
2025-08-26T19:45:33.8903220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Mazatlan
2025-08-26T19:45:33.8903850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Belize
2025-08-26T19:45:33.8904540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Knox_IN
2025-08-26T19:45:33.8905180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cuiaba
2025-08-26T19:45:33.8905860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Merida
2025-08-26T19:45:33.8906490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Jujuy
2025-08-26T19:45:33.8907110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cayman
2025-08-26T19:45:33.8907880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Belem
2025-08-26T19:45:33.8908700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Eirunepe
2025-08-26T19:45:33.8909470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Lucia
2025-08-26T19:45:33.8910290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Bahia
2025-08-26T19:45:33.8910990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Whitehorse
2025-08-26T19:45:33.8912030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Tortola
2025-08-26T19:45:33.8912790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Vancouver
2025-08-26T19:45:33.8913700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Inuvik
2025-08-26T19:45:33.8914720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Port-au-Prince
2025-08-26T19:45:33.8915450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Fortaleza
2025-08-26T19:45:33.8916260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Noronha
2025-08-26T19:45:33.8917120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Buenos_Aires
2025-08-26T19:45:33.8917980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Los_Angeles
2025-08-26T19:45:33.8918930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/El_Salvador
2025-08-26T19:45:33.8919900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Denver
2025-08-26T19:45:33.8920660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Fort_Wayne
2025-08-26T19:45:33.8921650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Kentucky/Louisville
2025-08-26T19:45:33.8922640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Kentucky/Monticello
2025-08-26T19:45:33.8923760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/North_Dakota/New_Salem
2025-08-26T19:45:33.8924880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/North_Dakota/Center
2025-08-26T19:45:33.8925780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/North_Dakota/Beulah
2025-08-26T19:45:33.8926990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Glace_Bay
2025-08-26T19:45:33.8927650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Montserrat
2025-08-26T19:45:33.8928550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Toronto
2025-08-26T19:45:33.8929190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Panama
2025-08-26T19:45:33.8930030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cordoba
2025-08-26T19:45:33.8931060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Louisville
2025-08-26T19:45:33.8931950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Ensenada
2025-08-26T19:45:33.8932710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Shiprock
2025-08-26T19:45:33.8933570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Ojinaga
2025-08-26T19:45:33.8934390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Thule
2025-08-26T19:45:33.8935240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Caracas
2025-08-26T19:45:33.8936160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Araguaina
2025-08-26T19:45:33.8937020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cambridge_Bay
2025-08-26T19:45:33.8937960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Winnipeg
2025-08-26T19:45:33.8938630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Grand_Turk
2025-08-26T19:45:33.8939570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Virgin
2025-08-26T19:45:33.8940360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Anchorage
2025-08-26T19:45:33.8941280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Costa_Rica
2025-08-26T19:45:33.8942030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nome
2025-08-26T19:45:33.8942860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Grenada
2025-08-26T19:45:33.8943750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Johns
2025-08-26T19:45:33.8944580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Atka
2025-08-26T19:45:33.8945350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Asuncion
2025-08-26T19:45:33.8946120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Hermosillo
2025-08-26T19:45:33.8946910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Tijuana
2025-08-26T19:45:33.8947720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Marigot
2025-08-26T19:45:33.8948590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Juneau
2025-08-26T19:45:33.8949660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Montevideo
2025-08-26T19:45:33.8950290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Godthab
2025-08-26T19:45:33.8951320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guadeloupe
2025-08-26T19:45:33.8952150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Maceio
2025-08-26T19:45:33.8953160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Pangnirtung
2025-08-26T19:45:33.8953930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Kitts
2025-08-26T19:45:33.8954690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Barbados
2025-08-26T19:45:33.8955490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Iqaluit
2025-08-26T19:45:33.8956360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Menominee
2025-08-26T19:45:33.8957250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Martinique
2025-08-26T19:45:33.8958430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Mexico_City
2025-08-26T19:45:33.8959310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Swift_Current
2025-08-26T19:45:33.8960280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Miquelon
2025-08-26T19:45:33.8961130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Curacao
2025-08-26T19:45:33.8962110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Dawson_Creek
2025-08-26T19:45:33.8963000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Mendoza
2025-08-26T19:45:33.8963850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Adak
2025-08-26T19:45:33.8964690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Coyhaique
2025-08-26T19:45:33.8965550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Thunder_Bay
2025-08-26T19:45:33.8966300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Aruba
2025-08-26T19:45:33.8967220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Fort_Nelson
2025-08-26T19:45:33.8968200Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Sitka
2025-08-26T19:45:33.8969130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Anguilla
2025-08-26T19:45:33.8969980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Danmarkshavn
2025-08-26T19:45:33.8970990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Melbourne
2025-08-26T19:45:33.8971800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Queensland
2025-08-26T19:45:33.8972660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/North
2025-08-26T19:45:33.8973450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Lord_Howe
2025-08-26T19:45:33.8974350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Adelaide
2025-08-26T19:45:33.8975190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Yancowinna
2025-08-26T19:45:33.8976080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Victoria
2025-08-26T19:45:33.8977010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Canberra
2025-08-26T19:45:33.8977830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Sydney
2025-08-26T19:45:33.8978600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/ACT
2025-08-26T19:45:33.8979560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Eucla
2025-08-26T19:45:33.8980500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Brisbane
2025-08-26T19:45:33.8981360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Tasmania
2025-08-26T19:45:33.8982150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Hobart
2025-08-26T19:45:33.8983040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Perth
2025-08-26T19:45:33.8983980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/South
2025-08-26T19:45:33.8984860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Lindeman
2025-08-26T19:45:33.8985700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Darwin
2025-08-26T19:45:33.8986400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/West
2025-08-26T19:45:33.8987360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/LHI
2025-08-26T19:45:33.8988030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/NSW
2025-08-26T19:45:33.8988920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Broken_Hill
2025-08-26T19:45:33.8989940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Currie
2025-08-26T19:45:33.8990560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-10
2025-08-26T19:45:33.8991380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+12
2025-08-26T19:45:33.8992090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-11
2025-08-26T19:45:33.8993080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/Universal
2025-08-26T19:45:33.8993680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/Greenwich
2025-08-26T19:45:33.8994570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-6
2025-08-26T19:45:33.8995300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-1
2025-08-26T19:45:33.8996040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-8
2025-08-26T19:45:33.8996760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+4
2025-08-26T19:45:33.8997610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+3
2025-08-26T19:45:33.8998530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-9
2025-08-26T19:45:33.8999280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-0
2025-08-26T19:45:33.9000030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-7
2025-08-26T19:45:33.9000780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+2
2025-08-26T19:45:33.9001560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+5
2025-08-26T19:45:33.9002320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT
2025-08-26T19:45:33.9003130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/Zulu
2025-08-26T19:45:33.9003890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+11
2025-08-26T19:45:33.9004580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-13
2025-08-26T19:45:33.9005460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-14
2025-08-26T19:45:33.9006120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+10
2025-08-26T19:45:33.9006830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-12
2025-08-26T19:45:33.9007680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT0
2025-08-26T19:45:33.9008390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/UCT
2025-08-26T19:45:33.9009210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+0
2025-08-26T19:45:33.9010030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+7
2025-08-26T19:45:33.9010740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+9
2025-08-26T19:45:33.9011550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-2
2025-08-26T19:45:33.9012340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-5
2025-08-26T19:45:33.9013090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+8
2025-08-26T19:45:33.9013800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+6
2025-08-26T19:45:33.9014640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+1
2025-08-26T19:45:33.9015260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/UTC
2025-08-26T19:45:33.9015960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-4
2025-08-26T19:45:33.9016820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-3
2025-08-26T19:45:33.9017620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/zonenow.tab
2025-08-26T19:45:33.9018440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/NZ-CHAT
2025-08-26T19:45:33.9019410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dushanbe
2025-08-26T19:45:33.9020330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Qostanay
2025-08-26T19:45:33.9021150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Calcutta
2025-08-26T19:45:33.9021890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Urumqi
2025-08-26T19:45:33.9022840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Karachi
2025-08-26T19:45:33.9023640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Khandyga
2025-08-26T19:45:33.9024500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Thimbu
2025-08-26T19:45:33.9025380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Thimphu
2025-08-26T19:45:33.9026210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Vladivostok
2025-08-26T19:45:33.9027100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Vientiane
2025-08-26T19:45:33.9027990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Shanghai
2025-08-26T19:45:33.9028690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ulan_Bator
2025-08-26T19:45:33.9029570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Aden
2025-08-26T19:45:33.9030460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Muscat
2025-08-26T19:45:33.9031170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Damascus
2025-08-26T19:45:33.9032340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Jerusalem
2025-08-26T19:45:33.9033020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Brunei
2025-08-26T19:45:33.9033870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ulaanbaatar
2025-08-26T19:45:33.9034530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Amman
2025-08-26T19:45:33.9035300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kuching
2025-08-26T19:45:33.9036170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tel_Aviv
2025-08-26T19:45:33.9036970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Seoul
2025-08-26T19:45:33.9037750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Atyrau
2025-08-26T19:45:33.9038620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Pyongyang
2025-08-26T19:45:33.9039370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Hovd
2025-08-26T19:45:33.9040170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Hebron
2025-08-26T19:45:33.9040920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kuwait
2025-08-26T19:45:33.9041760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tomsk
2025-08-26T19:45:33.9042610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Manila
2025-08-26T19:45:33.9043670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Chita
2025-08-26T19:45:33.9044290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Katmandu
2025-08-26T19:45:33.9045020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Gaza
2025-08-26T19:45:33.9045940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Samarkand
2025-08-26T19:45:33.9046960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Taipei
2025-08-26T19:45:33.9047620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tashkent
2025-08-26T19:45:33.9048550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Yekaterinburg
2025-08-26T19:45:33.9049370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Macau
2025-08-26T19:45:33.9050260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Qyzylorda
2025-08-26T19:45:33.9051130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Macao
2025-08-26T19:45:33.9051960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tokyo
2025-08-26T19:45:33.9052480Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Baku
2025-08-26T19:45:33.9053180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Barnaul
2025-08-26T19:45:33.9053770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Istanbul
2025-08-26T19:45:33.9054390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Irkutsk
2025-08-26T19:45:33.9055040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Qatar
2025-08-26T19:45:33.9055660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Bahrain
2025-08-26T19:45:33.9056260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Yangon
2025-08-26T19:45:33.9056880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Yerevan
2025-08-26T19:45:33.9057550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Almaty
2025-08-26T19:45:33.9062030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dili
2025-08-26T19:45:33.9062190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dacca
2025-08-26T19:45:33.9062320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Chongqing
2025-08-26T19:45:33.9062490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ust-Nera
2025-08-26T19:45:33.9062620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Magadan
2025-08-26T19:45:33.9062740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Colombo
2025-08-26T19:45:33.9062890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Krasnoyarsk
2025-08-26T19:45:33.9063020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kamchatka
2025-08-26T19:45:33.9063500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ujung_Pandang
2025-08-26T19:45:33.9063940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Jakarta
2025-08-26T19:45:33.9064570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kolkata
2025-08-26T19:45:33.9065170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kabul
2025-08-26T19:45:33.9065790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Oral
2025-08-26T19:45:33.9066430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Jayapura
2025-08-26T19:45:33.9067100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Pontianak
2025-08-26T19:45:33.9067740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Makassar
2025-08-26T19:45:33.9068460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tbilisi
2025-08-26T19:45:33.9069070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Singapore
2025-08-26T19:45:33.9069670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Harbin
2025-08-26T19:45:33.9070340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kashgar
2025-08-26T19:45:33.9070940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dhaka
2025-08-26T19:45:33.9071580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Yakutsk
2025-08-26T19:45:33.9072300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kuala_Lumpur
2025-08-26T19:45:33.9072910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tehran
2025-08-26T19:45:33.9073540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Beirut
2025-08-26T19:45:33.9074190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Aqtobe
2025-08-26T19:45:33.9074930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Anadyr
2025-08-26T19:45:33.9075460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Bishkek
2025-08-26T19:45:33.9076290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dubai
2025-08-26T19:45:33.9076750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Riyadh
2025-08-26T19:45:33.9077450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Novokuznetsk
2025-08-26T19:45:33.9078140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Aqtau
2025-08-26T19:45:33.9078680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Omsk
2025-08-26T19:45:33.9079340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ashkhabad
2025-08-26T19:45:33.9079990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Saigon
2025-08-26T19:45:33.9080750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Sakhalin
2025-08-26T19:45:33.9081270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Hong_Kong
2025-08-26T19:45:33.9081960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Phnom_Penh
2025-08-26T19:45:33.9082650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Nicosia
2025-08-26T19:45:33.9083250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Baghdad
2025-08-26T19:45:33.9083970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Srednekolymsk
2025-08-26T19:45:33.9084630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ashgabat
2025-08-26T19:45:33.9085290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kathmandu
2025-08-26T19:45:33.9086230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Choibalsan
2025-08-26T19:45:33.9087020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Bangkok
2025-08-26T19:45:33.9087850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Chungking
2025-08-26T19:45:33.9088710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Novosibirsk
2025-08-26T19:45:33.9089490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Famagusta
2025-08-26T19:45:33.9090250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Rangoon
2025-08-26T19:45:33.9091290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ho_Chi_Minh
2025-08-26T19:45:33.9092010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/MET
2025-08-26T19:45:33.9092710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Portugal
2025-08-26T19:45:33.9093910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Palmer
2025-08-26T19:45:33.9094690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Davis
2025-08-26T19:45:33.9095510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Rothera
2025-08-26T19:45:33.9096550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Vostok
2025-08-26T19:45:33.9097490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Syowa
2025-08-26T19:45:33.9098410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/DumontDUrville
2025-08-26T19:45:33.9099260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/McMurdo
2025-08-26T19:45:33.9100560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Macquarie
2025-08-26T19:45:33.9101590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/South_Pole
2025-08-26T19:45:33.9102500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Troll
2025-08-26T19:45:33.9103660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Mawson
2025-08-26T19:45:33.9104580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Casey
2025-08-26T19:45:33.9105260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GMT-0
2025-08-26T19:45:33.9105890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/CET
2025-08-26T19:45:33.9106730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Eire
2025-08-26T19:45:33.9107540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/PST8PDT
2025-08-26T19:45:33.9108850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/leap-seconds.list
2025-08-26T19:45:33.9109560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Jamaica
2025-08-26T19:45:33.9110190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GMT
2025-08-26T19:45:33.9110820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Zulu
2025-08-26T19:45:33.9111700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Japan
2025-08-26T19:45:33.9112390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/ROC
2025-08-26T19:45:33.9113080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GB-Eire
2025-08-26T19:45:33.9113900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Zurich
2025-08-26T19:45:33.9114730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Paris
2025-08-26T19:45:33.9115800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Moscow
2025-08-26T19:45:33.9116700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Luxembourg
2025-08-26T19:45:33.9117470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Ljubljana
2025-08-26T19:45:33.9118420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Helsinki
2025-08-26T19:45:33.9119280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Minsk
2025-08-26T19:45:33.9119960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Skopje
2025-08-26T19:45:33.9120840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Dublin
2025-08-26T19:45:33.9121780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Jersey
2025-08-26T19:45:33.9122860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/San_Marino
2025-08-26T19:45:33.9123700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Gibraltar
2025-08-26T19:45:33.9124590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Belgrade
2025-08-26T19:45:33.9125540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Guernsey
2025-08-26T19:45:33.9126620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Ulyanovsk
2025-08-26T19:45:33.9127520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Saratov
2025-08-26T19:45:33.9128230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vaduz
2025-08-26T19:45:33.9129330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Istanbul
2025-08-26T19:45:33.9130140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Lisbon
2025-08-26T19:45:33.9131100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Uzhgorod
2025-08-26T19:45:33.9132110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kirov
2025-08-26T19:45:33.9132820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Tirane
2025-08-26T19:45:33.9133780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Tiraspol
2025-08-26T19:45:33.9134830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Sarajevo
2025-08-26T19:45:33.9135730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Madrid
2025-08-26T19:45:33.9136700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Podgorica
2025-08-26T19:45:33.9137610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Busingen
2025-08-26T19:45:33.9138500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vatican
2025-08-26T19:45:33.9139450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Belfast
2025-08-26T19:45:33.9140350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Bratislava
2025-08-26T19:45:33.9141350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kiev
2025-08-26T19:45:33.9142240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kaliningrad
2025-08-26T19:45:33.9143150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Zaporozhye
2025-08-26T19:45:33.9144050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vienna
2025-08-26T19:45:33.9144980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Budapest
2025-08-26T19:45:33.9145910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vilnius
2025-08-26T19:45:33.9146990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Monaco
2025-08-26T19:45:33.9147790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Oslo
2025-08-26T19:45:33.9148640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Astrakhan
2025-08-26T19:45:33.9149600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Simferopol
2025-08-26T19:45:33.9150570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Volgograd
2025-08-26T19:45:33.9151260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kyiv
2025-08-26T19:45:33.9152050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Isle_of_Man
2025-08-26T19:45:33.9152790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/London
2025-08-26T19:45:33.9153680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Riga
2025-08-26T19:45:33.9154620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Andorra
2025-08-26T19:45:33.9155660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Prague
2025-08-26T19:45:33.9156650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Berlin
2025-08-26T19:45:33.9157610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Tallinn
2025-08-26T19:45:33.9158290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Rome
2025-08-26T19:45:33.9159100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Malta
2025-08-26T19:45:33.9159990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Zagreb
2025-08-26T19:45:33.9160880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Amsterdam
2025-08-26T19:45:33.9161720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Nicosia
2025-08-26T19:45:33.9162640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Bucharest
2025-08-26T19:45:33.9163610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Copenhagen
2025-08-26T19:45:33.9164550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Chisinau
2025-08-26T19:45:33.9165640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Mariehamn
2025-08-26T19:45:33.9166460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Sofia
2025-08-26T19:45:33.9167240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Athens
2025-08-26T19:45:33.9168150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Stockholm
2025-08-26T19:45:33.9168980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Samara
2025-08-26T19:45:33.9169940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Brussels
2025-08-26T19:45:33.9170820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Warsaw
2025-08-26T19:45:33.9171600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/ROK
2025-08-26T19:45:33.9172500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Navajo
2025-08-26T19:45:33.9173360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Singapore
2025-08-26T19:45:33.9174090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GB
2025-08-26T19:45:33.9175010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Mexico/BajaNorte
2025-08-26T19:45:33.9176010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Mexico/General
2025-08-26T19:45:33.9176790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Mexico/BajaSur
2025-08-26T19:45:33.9177560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/EST
2025-08-26T19:45:33.9178310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GMT0
2025-08-26T19:45:33.9179190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Hongkong
2025-08-26T19:45:33.9179850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/PRC
2025-08-26T19:45:33.9180660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/zone.tab
2025-08-26T19:45:33.9181310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Iran
2025-08-26T19:45:33.9182490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/build/etc/localtime
2025-08-26T19:45:33.9183210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/MST7MDT
2025-08-26T19:45:33.9183850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/WET
2025-08-26T19:45:33.9184730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/W-SU
2025-08-26T19:45:33.9185320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/UCT
2025-08-26T19:45:33.9186130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Cuba
2025-08-26T19:45:33.9186840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Egypt
2025-08-26T19:45:33.9187570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GMT+0
2025-08-26T19:45:33.9188420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/tzdata.zi
2025-08-26T19:45:33.9189150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/EET
2025-08-26T19:45:33.9189950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Israel
2025-08-26T19:45:33.9190780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Sao_Tome
2025-08-26T19:45:33.9191690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Conakry
2025-08-26T19:45:33.9192530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Dakar
2025-08-26T19:45:33.9193400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Ndjamena
2025-08-26T19:45:33.9194440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Casablanca
2025-08-26T19:45:33.9195130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Lome
2025-08-26T19:45:33.9196060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Algiers
2025-08-26T19:45:33.9197040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Mogadishu
2025-08-26T19:45:33.9198250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Lagos
2025-08-26T19:45:33.9199100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Brazzaville
2025-08-26T19:45:33.9200120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Timbuktu
2025-08-26T19:45:33.9200960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Nouakchott
2025-08-26T19:45:33.9202050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Maseru
2025-08-26T19:45:33.9203080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Libreville
2025-08-26T19:45:33.9204160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Harare
2025-08-26T19:45:33.9204930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Malabo
2025-08-26T19:45:33.9205750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bangui
2025-08-26T19:45:33.9206850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Nairobi
2025-08-26T19:45:33.9207670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Kinshasa
2025-08-26T19:45:33.9208560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Porto-Novo
2025-08-26T19:45:33.9209360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Cairo
2025-08-26T19:45:33.9210340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Douala
2025-08-26T19:45:33.9211070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Juba
2025-08-26T19:45:33.9212050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Gaborone
2025-08-26T19:45:33.9212800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Tunis
2025-08-26T19:45:33.9213750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Kampala
2025-08-26T19:45:33.9214540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Mbabane
2025-08-26T19:45:33.9215380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Addis_Ababa
2025-08-26T19:45:33.9216260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Maputo
2025-08-26T19:45:33.9217120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bissau
2025-08-26T19:45:33.9217950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Blantyre
2025-08-26T19:45:33.9218730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Niamey
2025-08-26T19:45:33.9219620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Banjul
2025-08-26T19:45:33.9220470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Abidjan
2025-08-26T19:45:33.9221390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Asmara
2025-08-26T19:45:33.9222430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bamako
2025-08-26T19:45:33.9223350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Ouagadougou
2025-08-26T19:45:33.9224330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Lusaka
2025-08-26T19:45:33.9225230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Luanda
2025-08-26T19:45:33.9226170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Asmera
2025-08-26T19:45:33.9227140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Lubumbashi
2025-08-26T19:45:33.9227860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Accra
2025-08-26T19:45:33.9228730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Khartoum
2025-08-26T19:45:33.9229540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Ceuta
2025-08-26T19:45:33.9230570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bujumbura
2025-08-26T19:45:33.9231360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Windhoek
2025-08-26T19:45:33.9232290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/El_Aaiun
2025-08-26T19:45:33.9233150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Tripoli
2025-08-26T19:45:33.9234020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Monrovia
2025-08-26T19:45:33.9235030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Dar_es_Salaam
2025-08-26T19:45:33.9236000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Johannesburg
2025-08-26T19:45:33.9236870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Kigali
2025-08-26T19:45:33.9237850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Djibouti
2025-08-26T19:45:33.9238710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Freetown
2025-08-26T19:45:33.9239620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Factory
2025-08-26T19:45:33.9240220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/UTC
2025-08-26T19:45:33.9241130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Chile/EasterIsland
2025-08-26T19:45:33.9241980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Chile/Continental
2025-08-26T19:45:33.9242860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/HST
2025-08-26T19:45:33.9243880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Atlantic
2025-08-26T19:45:33.9244710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Pacific
2025-08-26T19:45:33.9245560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Eastern
2025-08-26T19:45:33.9246270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Yukon
2025-08-26T19:45:33.9247380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Saskatchewan
2025-08-26T19:45:33.9248610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Newfoundland
2025-08-26T19:45:33.9249430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Central
2025-08-26T19:45:33.9250270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Mountain
2025-08-26T19:45:33.9251190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Iceland
2025-08-26T19:45:33.9252110Z /opt/homebrew/Caskroom/miniconda/base/share/pkgconfig/nlohmann_json.pc
2025-08-26T19:45:33.9253250Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/nlohmann_json/nlohmann_jsonTargets.cmake
2025-08-26T19:45:33.9254400Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/nlohmann_json/nlohmann_jsonConfigVersion.cmake
2025-08-26T19:45:33.9255550Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/nlohmann_json/nlohmann_jsonConfig.cmake
2025-08-26T19:45:33.9256360Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/tl-expected/tl-expected-targets.cmake
2025-08-26T19:45:33.9257270Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/tl-expected/tl-expected-config-version.cmake
2025-08-26T19:45:33.9258100Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/tl-expected/tl-expected-config.cmake
2025-08-26T19:45:33.9258820Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/Modules/FindLibSolv.cmake
2025-08-26T19:45:33.9259300Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/vt300
2025-08-26T19:45:33.9259970Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/std
2025-08-26T19:45:33.9260430Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/vt100
2025-08-26T19:45:33.9260990Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/stdcrt
2025-08-26T19:45:33.9261700Z /opt/homebrew/Caskroom/miniconda/base/share/info/libffi.info
2025-08-26T19:45:33.9262170Z /opt/homebrew/Caskroom/miniconda/base/share/info/readline.info
2025-08-26T19:45:33.9262800Z /opt/homebrew/Caskroom/miniconda/base/share/info/rluserman.info
2025-08-26T19:45:33.9263400Z /opt/homebrew/Caskroom/miniconda/base/share/info/history.info
2025-08-26T19:45:33.9264100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x50-mono
2025-08-26T19:45:33.9264770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620-103k
2025-08-26T19:45:33.9265400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex232
2025-08-26T19:45:33.9266080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410v1-w
2025-08-26T19:45:33.9266910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420_2
2025-08-26T19:45:33.9267400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idl1
2025-08-26T19:45:33.9268100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansil
2025-08-26T19:45:33.9268690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s-rv-ctxt
2025-08-26T19:45:33.9269420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-40-rv
2025-08-26T19:45:33.9269970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idc
2025-08-26T19:45:33.9270670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-18
2025-08-26T19:45:33.9271210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-20
2025-08-26T19:45:33.9271980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-soroc
2025-08-26T19:45:33.9272490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att6386
2025-08-26T19:45:33.9273120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4425
2025-08-26T19:45:33.9273810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-ctxt
2025-08-26T19:45:33.9274520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415+nl
2025-08-26T19:45:33.9275030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj830
2025-08-26T19:45:33.9275640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansiw
2025-08-26T19:45:33.9276270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex232w
2025-08-26T19:45:33.9277020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm-16color
2025-08-26T19:45:33.9277750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-rv-unk
2025-08-26T19:45:33.9278350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-videx2
2025-08-26T19:45:33.9279030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85e
2025-08-26T19:45:33.9279620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x30
2025-08-26T19:45:33.9280420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-vm80
2025-08-26T19:45:33.9281060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-rv-nl
2025-08-26T19:45:33.9281570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa+rv
2025-08-26T19:45:33.9282390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alacritty+common
2025-08-26T19:45:33.9282910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-rv
2025-08-26T19:45:33.9283490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/a210
2025-08-26T19:45:33.9284130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85
2025-08-26T19:45:33.9284930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610+cvis
2025-08-26T19:45:33.9285470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-videx3
2025-08-26T19:45:33.9286270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alacritty
2025-08-26T19:45:33.9286770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415
2025-08-26T19:45:33.9287560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s
2025-08-26T19:45:33.9288270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mono
2025-08-26T19:45:33.9289050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+pp
2025-08-26T19:45:33.9289960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-28
2025-08-26T19:45:33.9290810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idl
2025-08-26T19:45:33.9291760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-s-rv
2025-08-26T19:45:33.9292520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att513
2025-08-26T19:45:33.9293440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4424
2025-08-26T19:45:33.9294410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-rv-ns
2025-08-26T19:45:33.9295250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-26
2025-08-26T19:45:33.9296040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att510d
2025-08-26T19:45:33.9296930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ap-vm80
2025-08-26T19:45:33.9297770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620-103k-w
2025-08-26T19:45:33.9298630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo_19L
2025-08-26T19:45:33.9299430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w
2025-08-26T19:45:33.9300400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos3
2025-08-26T19:45:33.9301430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansil-mono
2025-08-26T19:45:33.9302210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos4
2025-08-26T19:45:33.9303090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x30-mono
2025-08-26T19:45:33.9303870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+cpr
2025-08-26T19:45:33.9304890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-rv
2025-08-26T19:45:33.9305670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apl
2025-08-26T19:45:33.9306480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-w-rv
2025-08-26T19:45:33.9307270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-4
2025-08-26T19:45:33.9307970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-3
2025-08-26T19:45:33.9308830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620
2025-08-26T19:45:33.9309720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari_st
2025-08-26T19:45:33.9310590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aa4080
2025-08-26T19:45:33.9311540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alto-heath
2025-08-26T19:45:33.9312300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt2
2025-08-26T19:45:33.9313050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj
2025-08-26T19:45:33.9313760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt5
2025-08-26T19:45:33.9314700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x25-raw
2025-08-26T19:45:33.9315610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos5
2025-08-26T19:45:33.9316380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aas1901
2025-08-26T19:45:33.9317160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt
2025-08-26T19:45:33.9318080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/awsc
2025-08-26T19:45:33.9318950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-unk
2025-08-26T19:45:33.9319790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos2
2025-08-26T19:45:33.9320820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple2e
2025-08-26T19:45:33.9321750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4424m
2025-08-26T19:45:33.9322390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+csr
2025-08-26T19:45:33.9323540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-generic
2025-08-26T19:45:33.9324350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/addsviewpoint
2025-08-26T19:45:33.9325100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-s
2025-08-26T19:45:33.9325920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo+vt132
2025-08-26T19:45:33.9326660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt4
2025-08-26T19:45:33.9327640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-w
2025-08-26T19:45:33.9328390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-24-rv
2025-08-26T19:45:33.9329320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt3
2025-08-26T19:45:33.9330240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5425
2025-08-26T19:45:33.9331110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att630
2025-08-26T19:45:33.9331770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgr
2025-08-26T19:45:33.9332500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+cup
2025-08-26T19:45:33.9333230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-2
2025-08-26T19:45:33.9334030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w
2025-08-26T19:45:33.9334850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-rv
2025-08-26T19:45:33.9335680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-ctxt
2025-08-26T19:45:33.9336440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt+s
2025-08-26T19:45:33.9337230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex175
2025-08-26T19:45:33.9338150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-5
2025-08-26T19:45:33.9338930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amp219
2025-08-26T19:45:33.9339730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm42
2025-08-26T19:45:33.9340550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att505-24
2025-08-26T19:45:33.9341520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s-rv
2025-08-26T19:45:33.9342230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm1a
2025-08-26T19:45:33.9342940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615
2025-08-26T19:45:33.9343850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-emx
2025-08-26T19:45:33.9344730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrbold
2025-08-26T19:45:33.9345610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrul
2025-08-26T19:45:33.9346440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm20
2025-08-26T19:45:33.9347240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x60-mono
2025-08-26T19:45:33.9348230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610-103k
2025-08-26T19:45:33.9349050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari
2025-08-26T19:45:33.9349960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari-old
2025-08-26T19:45:33.9350760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansiterm
2025-08-26T19:45:33.9351690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410v1
2025-08-26T19:45:33.9352480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm11
2025-08-26T19:45:33.9353340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5418-w
2025-08-26T19:45:33.9354180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5430
2025-08-26T19:45:33.9355000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-rv-ns
2025-08-26T19:45:33.9355980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrso
2025-08-26T19:45:33.9356820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi
2025-08-26T19:45:33.9357530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att505-22
2025-08-26T19:45:33.9358230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/a80
2025-08-26T19:45:33.9359230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att605-pc
2025-08-26T19:45:33.9360020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm21
2025-08-26T19:45:33.9360930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610-w
2025-08-26T19:45:33.9361770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm42-ns
2025-08-26T19:45:33.9362610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+rca2
2025-08-26T19:45:33.9363320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att500
2025-08-26T19:45:33.9364110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100
2025-08-26T19:45:33.9365080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm5
2025-08-26T19:45:33.9366230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga-8bit
2025-08-26T19:45:33.9367040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ambassador
2025-08-26T19:45:33.9367880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm2
2025-08-26T19:45:33.9368730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att2350
2025-08-26T19:45:33.9369880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-color-2-emx
2025-08-26T19:45:33.9370740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansis-mono
2025-08-26T19:45:33.9371750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-color-3-emx
2025-08-26T19:45:33.9372530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-24
2025-08-26T19:45:33.9373270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altoheath
2025-08-26T19:45:33.9374120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610+cvis0
2025-08-26T19:45:33.9374980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansisysk
2025-08-26T19:45:33.9375860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi43m
2025-08-26T19:45:33.9376740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4418-w
2025-08-26T19:45:33.9377620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420+nl
2025-08-26T19:45:33.9378580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple2e-p
2025-08-26T19:45:33.9379440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo_color
2025-08-26T19:45:33.9380410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730r-41
2025-08-26T19:45:33.9381410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410v1
2025-08-26T19:45:33.9382210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mtabs
2025-08-26T19:45:33.9383080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-w-nl
2025-08-26T19:45:33.9383820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm3
2025-08-26T19:45:33.9384630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atarist-m
2025-08-26T19:45:33.9385450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610-103k-w
2025-08-26T19:45:33.9386200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s-rv
2025-08-26T19:45:33.9387020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrdim
2025-08-26T19:45:33.9388020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-uterm-vb
2025-08-26T19:45:33.9388780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex80
2025-08-26T19:45:33.9389660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730r-24
2025-08-26T19:45:33.9390550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100-w
2025-08-26T19:45:33.9391490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex219
2025-08-26T19:45:33.9392340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/addrinfo
2025-08-26T19:45:33.9393130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60
2025-08-26T19:45:33.9394080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x25
2025-08-26T19:45:33.9394720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa+dec
2025-08-26T19:45:33.9395500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex210
2025-08-26T19:45:33.9396340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex219w
2025-08-26T19:45:33.9396980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100-am
2025-08-26T19:45:33.9397720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-ns
2025-08-26T19:45:33.9398700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w-rv-n
2025-08-26T19:45:33.9399500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-ae
2025-08-26T19:45:33.9400360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615-103k-w
2025-08-26T19:45:33.9401210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+erase
2025-08-26T19:45:33.9402120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att510a
2025-08-26T19:45:33.9402920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4426
2025-08-26T19:45:33.9403800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att630-24
2025-08-26T19:45:33.9404610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altoh19
2025-08-26T19:45:33.9405340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa
2025-08-26T19:45:33.9406080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-24
2025-08-26T19:45:33.9406900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-uterm
2025-08-26T19:45:33.9407870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+rep
2025-08-26T19:45:33.9408570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-rv
2025-08-26T19:45:33.9409330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alto-h19
2025-08-26T19:45:33.9410190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-rv-ctxt
2025-08-26T19:45:33.9411070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari_st-color
2025-08-26T19:45:33.9411880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansis
2025-08-26T19:45:33.9412670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm80
2025-08-26T19:45:33.9413430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x50
2025-08-26T19:45:33.9414360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615-w
2025-08-26T19:45:33.9415170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410
2025-08-26T19:45:33.9416380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm-m-old
2025-08-26T19:45:33.9417100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4425-nl
2025-08-26T19:45:33.9418110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt7pc
2025-08-26T19:45:33.9418890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-48
2025-08-26T19:45:33.9419460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idc1
2025-08-26T19:45:33.9420480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+tabs
2025-08-26T19:45:33.9421240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleII
2025-08-26T19:45:33.9422290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alacritty-direct
2025-08-26T19:45:33.9423070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj832
2025-08-26T19:45:33.9424110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+local1
2025-08-26T19:45:33.9424970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85h-old
2025-08-26T19:45:33.9425770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm+sl
2025-08-26T19:45:33.9426700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex-219w
2025-08-26T19:45:33.9427640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari-m
2025-08-26T19:45:33.9428420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar0+
2025-08-26T19:45:33.9429230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x60
2025-08-26T19:45:33.9429990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4424-1
2025-08-26T19:45:33.9430870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+rca
2025-08-26T19:45:33.9431800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4420
2025-08-26T19:45:33.9432710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4418
2025-08-26T19:45:33.9433400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-22
2025-08-26T19:45:33.9434290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aepro
2025-08-26T19:45:33.9435190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-nl
2025-08-26T19:45:33.9435970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410v1-w
2025-08-26T19:45:33.9436890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-34
2025-08-26T19:45:33.9437720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-w-rv-n
2025-08-26T19:45:33.9438490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-48-rv
2025-08-26T19:45:33.9439260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo
2025-08-26T19:45:33.9440200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mini
2025-08-26T19:45:33.9440930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-40
2025-08-26T19:45:33.9441730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+enq
2025-08-26T19:45:33.9442530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85h
2025-08-26T19:45:33.9443420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/annarbor4080
2025-08-26T19:45:33.9444110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-nt
2025-08-26T19:45:33.9445010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-rv
2025-08-26T19:45:33.9446010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-rv
2025-08-26T19:45:33.9446910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420
2025-08-26T19:45:33.9447830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi77
2025-08-26T19:45:33.9448740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mr
2025-08-26T19:45:33.9449610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5418
2025-08-26T19:45:33.9450400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm3a
2025-08-26T19:45:33.9451370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x43-mono
2025-08-26T19:45:33.9452160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-1
2025-08-26T19:45:33.9453080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari-color
2025-08-26T19:45:33.9454020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s-ctxt
2025-08-26T19:45:33.9454770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi.sys
2025-08-26T19:45:33.9455620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-s
2025-08-26T19:45:33.9456580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos7
2025-08-26T19:45:33.9457290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-18-rv
2025-08-26T19:45:33.9458100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm31
2025-08-26T19:45:33.9458810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w-nl
2025-08-26T19:45:33.9459430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-s
2025-08-26T19:45:33.9460020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm36
2025-08-26T19:45:33.9460700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar
2025-08-26T19:45:33.9461420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga
2025-08-26T19:45:33.9462300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo_15P
2025-08-26T19:45:33.9463200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt7
2025-08-26T19:45:33.9463960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-rv-s
2025-08-26T19:45:33.9465010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730-41
2025-08-26T19:45:33.9466010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420_2-w
2025-08-26T19:45:33.9466900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att605-w
2025-08-26T19:45:33.9467700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att605
2025-08-26T19:45:33.9468720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-dec-rv
2025-08-26T19:45:33.9469450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410
2025-08-26T19:45:33.9470310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos7pc
2025-08-26T19:45:33.9471420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm1178
2025-08-26T19:45:33.9472080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/absolute
2025-08-26T19:45:33.9472910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex-219
2025-08-26T19:45:33.9473610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at
2025-08-26T19:45:33.9474600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm+sgr
2025-08-26T19:45:33.9475380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620-w
2025-08-26T19:45:33.9476110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s
2025-08-26T19:45:33.9477060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj510
2025-08-26T19:45:33.9477920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730-24
2025-08-26T19:45:33.9478680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex-232
2025-08-26T19:45:33.9479370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aws
2025-08-26T19:45:33.9480240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att7300
2025-08-26T19:45:33.9481080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm3a+
2025-08-26T19:45:33.9481950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar0
2025-08-26T19:45:33.9482780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm12
2025-08-26T19:45:33.9483620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-rv
2025-08-26T19:45:33.9484400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730r
2025-08-26T19:45:33.9485270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi.sys-old
2025-08-26T19:45:33.9486060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/a980
2025-08-26T19:45:33.9486820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620
2025-08-26T19:45:33.9487670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-videx
2025-08-26T19:45:33.9488620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi.sysk
2025-08-26T19:45:33.9489510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amp219w
2025-08-26T19:45:33.9490480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex175-b
2025-08-26T19:45:33.9491340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x25-mono
2025-08-26T19:45:33.9492160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm31-old
2025-08-26T19:45:33.9492980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar1
2025-08-26T19:45:33.9493730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-80
2025-08-26T19:45:33.9494590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-db
2025-08-26T19:45:33.9495410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga-vnc
2025-08-26T19:45:33.9496420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-rv-nl
2025-08-26T19:45:33.9497150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm22
2025-08-26T19:45:33.9497880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610
2025-08-26T19:45:33.9498670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adds980
2025-08-26T19:45:33.9499530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple80p
2025-08-26T19:45:33.9500230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410-w
2025-08-26T19:45:33.9501110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+inittabs
2025-08-26T19:45:33.9501890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+local
2025-08-26T19:45:33.9502660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5425-nl
2025-08-26T19:45:33.9503430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aterm
2025-08-26T19:45:33.9504120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at-m
2025-08-26T19:45:33.9504880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4425-w
2025-08-26T19:45:33.9505740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5425-w
2025-08-26T19:45:33.9506920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-rv-ctxt
2025-08-26T19:45:33.9511450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att2300
2025-08-26T19:45:33.9511730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-ns
2025-08-26T19:45:33.9511860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5310
2025-08-26T19:45:33.9512190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410-w
2025-08-26T19:45:33.9512330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-36-rv
2025-08-26T19:45:33.9512440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/act4
2025-08-26T19:45:33.9512710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-rv-s
2025-08-26T19:45:33.9512850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm-m
2025-08-26T19:45:33.9513530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm1
2025-08-26T19:45:33.9514400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga-h
2025-08-26T19:45:33.9515250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615-103k
2025-08-26T19:45:33.9516260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ambas
2025-08-26T19:45:33.9517060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at386
2025-08-26T19:45:33.9518110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleIIe
2025-08-26T19:45:33.9518700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att700
2025-08-26T19:45:33.9519550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-36
2025-08-26T19:45:33.9520410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w-rv
2025-08-26T19:45:33.9521330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100-wam
2025-08-26T19:45:33.9521960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/act5
2025-08-26T19:45:33.9522840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleIIgs
2025-08-26T19:45:33.9523720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/addsvp60
2025-08-26T19:45:33.9524630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-s
2025-08-26T19:45:33.9525680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5320
2025-08-26T19:45:33.9526820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s-ctxt
2025-08-26T19:45:33.9527610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa+unk
2025-08-26T19:45:33.9528450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-m
2025-08-26T19:45:33.9529160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adds200
2025-08-26T19:45:33.9530280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+apparrows
2025-08-26T19:45:33.9531180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s-rv-ct
2025-08-26T19:45:33.9531870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleIIc
2025-08-26T19:45:33.9532600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30
2025-08-26T19:45:33.9533450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at-color
2025-08-26T19:45:33.9534100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730
2025-08-26T19:45:33.9535080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x43
2025-08-26T19:45:33.9536080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-nl
2025-08-26T19:45:33.9536630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att505
2025-08-26T19:45:33.9537740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+arrows
2025-08-26T19:45:33.9538550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm
2025-08-26T19:45:33.9539380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f200vi-w
2025-08-26T19:45:33.9540390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f200vi
2025-08-26T19:45:33.9541170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f200
2025-08-26T19:45:33.9541980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fenixw
2025-08-26T19:45:33.9542770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/falco-p
2025-08-26T19:45:33.9543540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fox
2025-08-26T19:45:33.9544380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/foot
2025-08-26T19:45:33.9545030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom
2025-08-26T19:45:33.9545870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f100
2025-08-26T19:45:33.9546800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fbterm
2025-08-26T19:45:33.9547710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom110
2025-08-26T19:45:33.9548730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110-14w
2025-08-26T19:45:33.9549500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110-w
2025-08-26T19:45:33.9550460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f1720
2025-08-26T19:45:33.9551300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/foot+base
2025-08-26T19:45:33.9552130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fixterm
2025-08-26T19:45:33.9552940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom100
2025-08-26T19:45:33.9553710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f200-w
2025-08-26T19:45:33.9554450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fos
2025-08-26T19:45:33.9555430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/foot-direct
2025-08-26T19:45:33.9556230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110
2025-08-26T19:45:33.9557070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fenix
2025-08-26T19:45:33.9557810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/falco
2025-08-26T19:45:33.9558620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110-14
2025-08-26T19:45:33.9559510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom-rv
2025-08-26T19:45:33.9560400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f100-rv
2025-08-26T19:45:33.9561190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom200
2025-08-26T19:45:33.9561980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f1720a
2025-08-26T19:45:33.9562930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fortune
2025-08-26T19:45:33.9563580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P4
2025-08-26T19:45:33.9564590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P14-W
2025-08-26T19:45:33.9565350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P14-M
2025-08-26T19:45:33.9566130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P5
2025-08-26T19:45:33.9567040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P9-8-W
2025-08-26T19:45:33.9567930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P9-8
2025-08-26T19:45:33.9568860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P8-W
2025-08-26T19:45:33.9569830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12-M
2025-08-26T19:45:33.9570610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P7
2025-08-26T19:45:33.9571360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P9
2025-08-26T19:45:33.9572110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P8
2025-08-26T19:45:33.9572990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12-M-W
2025-08-26T19:45:33.9573840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12-W
2025-08-26T19:45:33.9574720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P9-W
2025-08-26T19:45:33.9575660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P14
2025-08-26T19:45:33.9576290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P14-M-W
2025-08-26T19:45:33.9577270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12
2025-08-26T19:45:33.9578030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp236
2025-08-26T19:45:33.9578960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19us
2025-08-26T19:45:33.9579660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h-100
2025-08-26T19:45:33.9580600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-nt
2025-08-26T19:45:33.9581450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b-kx-p
2025-08-26T19:45:33.9582420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h100
2025-08-26T19:45:33.9583140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19a
2025-08-26T19:45:33.9584210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624-10p
2025-08-26T19:45:33.9585050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19
2025-08-26T19:45:33.9585960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hirez100
2025-08-26T19:45:33.9586710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621a-a
2025-08-26T19:45:33.9587460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2640b
2025-08-26T19:45:33.9588590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-smul
2025-08-26T19:45:33.9589260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h80
2025-08-26T19:45:33.9590260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626p
2025-08-26T19:45:33.9591170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2623a
2025-08-26T19:45:33.9592100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpterm-color
2025-08-26T19:45:33.9592950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpex2
2025-08-26T19:45:33.9593960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2645a
2025-08-26T19:45:33.9594770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heath-19
2025-08-26T19:45:33.9595690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hterm
2025-08-26T19:45:33.9596500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19g
2025-08-26T19:45:33.9597290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-u
2025-08-26T19:45:33.9598180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-12
2025-08-26T19:45:33.9598930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp
2025-08-26T19:45:33.9600080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-g
2025-08-26T19:45:33.9600800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-x40
2025-08-26T19:45:33.9601770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpterm-color2
2025-08-26T19:45:33.9602480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heathkit
2025-08-26T19:45:33.9603290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h29a-kc-bc
2025-08-26T19:45:33.9604010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-a
2025-08-26T19:45:33.9605100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b-kx
2025-08-26T19:45:33.9605970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-bs
2025-08-26T19:45:33.9606830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp70092A
2025-08-26T19:45:33.9607770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-wl
2025-08-26T19:45:33.9608500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+pfk-cr
2025-08-26T19:45:33.9609370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz2000
2025-08-26T19:45:33.9610220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550a-color
2025-08-26T19:45:33.9610990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-4p
2025-08-26T19:45:33.9611850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550
2025-08-26T19:45:33.9612620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpsub
2025-08-26T19:45:33.9613700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+arrows
2025-08-26T19:45:33.9614610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+pfk+arrows
2025-08-26T19:45:33.9615640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621k45
2025-08-26T19:45:33.9616440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heathkit-a
2025-08-26T19:45:33.9617470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550-color
2025-08-26T19:45:33.9618330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hds200
2025-08-26T19:45:33.9619170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1420
2025-08-26T19:45:33.9620040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2392
2025-08-26T19:45:33.9620930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hirez100-w
2025-08-26T19:45:33.9621750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2648
2025-08-26T19:45:33.9622510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hft-c
2025-08-26T19:45:33.9623450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1552
2025-08-26T19:45:33.9624360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2
2025-08-26T19:45:33.9625160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h29a-nkc-bc
2025-08-26T19:45:33.9625990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+color
2025-08-26T19:45:33.9626920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-fl
2025-08-26T19:45:33.9627790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2641a
2025-08-26T19:45:33.9628520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/htx11
2025-08-26T19:45:33.9629320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2627a
2025-08-26T19:45:33.9630000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp262x
2025-08-26T19:45:33.9631040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624
2025-08-26T19:45:33.9631890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2623
2025-08-26T19:45:33.9632690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621p-a
2025-08-26T19:45:33.9633790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-k45
2025-08-26T19:45:33.9634630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b
2025-08-26T19:45:33.9635430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hazel
2025-08-26T19:45:33.9636170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2648a
2025-08-26T19:45:33.9637080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550a
2025-08-26T19:45:33.9637810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2622
2025-08-26T19:45:33.9638650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp9837
2025-08-26T19:45:33.9639590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-4p-p
2025-08-26T19:45:33.9640350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621p
2025-08-26T19:45:33.9641150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpgeneric
2025-08-26T19:45:33.9641940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624a
2025-08-26T19:45:33.9642730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1500
2025-08-26T19:45:33.9643540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19kermit
2025-08-26T19:45:33.9644330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-us
2025-08-26T19:45:33.9645350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hft-old
2025-08-26T19:45:33.9646240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp700-wy
2025-08-26T19:45:33.9646900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp9845
2025-08-26T19:45:33.9647860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-nl
2025-08-26T19:45:33.9648530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpex
2025-08-26T19:45:33.9649420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19k
2025-08-26T19:45:33.9650470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hterm-256color
2025-08-26T19:45:33.9651330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h29a-kc-uc
2025-08-26T19:45:33.9652210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+printer
2025-08-26T19:45:33.9653000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2397a
2025-08-26T19:45:33.9653920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-10p
2025-08-26T19:45:33.9654880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1510
2025-08-26T19:45:33.9655970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-ba
2025-08-26T19:45:33.9656880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-12x40
2025-08-26T19:45:33.9657840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/ha8675
2025-08-26T19:45:33.9658650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/ha8686
2025-08-26T19:45:33.9659570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2640a
2025-08-26T19:45:33.9660490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1520
2025-08-26T19:45:33.9661370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626a
2025-08-26T19:45:33.9662310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624a-10p
2025-08-26T19:45:33.9663040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heath
2025-08-26T19:45:33.9663910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hft-c-old
2025-08-26T19:45:33.9664830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98720
2025-08-26T19:45:33.9665580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1000
2025-08-26T19:45:33.9666250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hft
2025-08-26T19:45:33.9667070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2382
2025-08-26T19:45:33.9667840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpterm
2025-08-26T19:45:33.9668550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpansi
2025-08-26T19:45:33.9669530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98721
2025-08-26T19:45:33.9670370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-b
2025-08-26T19:45:33.9671160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-a
2025-08-26T19:45:33.9671750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp45
2025-08-26T19:45:33.9672540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h-100bw
2025-08-26T19:45:33.9673340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1520-noesc
2025-08-26T19:45:33.9674120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp110
2025-08-26T19:45:33.9674560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp300h
2025-08-26T19:45:33.9675300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/he80
2025-08-26T19:45:33.9675830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-12-s
2025-08-26T19:45:33.9676420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2397
2025-08-26T19:45:33.9677000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp150
2025-08-26T19:45:33.9677650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2382a
2025-08-26T19:45:33.9678300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-48
2025-08-26T19:45:33.9678950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+pfk+cr
2025-08-26T19:45:33.9679670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h29a-nkc-uc
2025-08-26T19:45:33.9680280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp700
2025-08-26T19:45:33.9680930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b-p
2025-08-26T19:45:33.9681530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h100bw
2025-08-26T19:45:33.9682270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hurd
2025-08-26T19:45:33.9682760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp70092
2025-08-26T19:45:33.9683360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2622a
2025-08-26T19:45:33.9684000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2644a
2025-08-26T19:45:33.9684600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2645
2025-08-26T19:45:33.9685300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-10p-p
2025-08-26T19:45:33.9685920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-s
2025-08-26T19:45:33.9686530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2627c
2025-08-26T19:45:33.9687170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1552-rv
2025-08-26T19:45:33.9687780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626
2025-08-26T19:45:33.9688460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2627a-rev
2025-08-26T19:45:33.9689120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621
2025-08-26T19:45:33.9689710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b
2025-08-26T19:45:33.9690380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-ns
2025-08-26T19:45:33.9690960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hmod1
2025-08-26T19:45:33.9691570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621A
2025-08-26T19:45:33.9692230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+labels
2025-08-26T19:45:33.9692900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-p
2025-08-26T19:45:33.9693540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heath-ansi
2025-08-26T19:45:33.9694140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2647a
2025-08-26T19:45:33.9694780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-35
2025-08-26T19:45:33.9695410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-100
2025-08-26T19:45:33.9696070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-50
2025-08-26T19:45:33.9696670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/o4112-nd
2025-08-26T19:45:33.9697460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-25-w
2025-08-26T19:45:33.9697930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oc100
2025-08-26T19:45:33.9698810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-60
2025-08-26T19:45:33.9699770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-35-w
2025-08-26T19:45:33.9700630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/osexec
2025-08-26T19:45:33.9701350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/o85h
2025-08-26T19:45:33.9702370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oldibmpc3
2025-08-26T19:45:33.9703080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-w
2025-08-26T19:45:33.9704120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-50-w
2025-08-26T19:45:33.9705120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-25-w-vt
2025-08-26T19:45:33.9705910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/osborne
2025-08-26T19:45:33.9706860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oldsun
2025-08-26T19:45:33.9707630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/osborne1-w
2025-08-26T19:45:33.9708390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/osborne-w
2025-08-26T19:45:33.9709040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/owl
2025-08-26T19:45:33.9709930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oconcept
2025-08-26T19:45:33.9710670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt
2025-08-26T19:45:33.9711520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-60-nti
2025-08-26T19:45:33.9712320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/ofcons
2025-08-26T19:45:33.9713070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opus3n1+
2025-08-26T19:45:33.9713910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/otek4112
2025-08-26T19:45:33.9714750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/otek4115
2025-08-26T19:45:33.9715700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oldxterm+sm+1006
2025-08-26T19:45:33.9716630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-100-nti
2025-08-26T19:45:33.9717490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-nti
2025-08-26T19:45:33.9718210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oblit
2025-08-26T19:45:33.9718980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/otek4114
2025-08-26T19:45:33.9719840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/otek4113
2025-08-26T19:45:33.9720720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-50-nti
2025-08-26T19:45:33.9721460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/o31
2025-08-26T19:45:33.9722440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oabm85h
2025-08-26T19:45:33.9723090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oldpc3
2025-08-26T19:45:33.9723950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/osborne1
2025-08-26T19:45:33.9724650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/omron
2025-08-26T19:45:33.9725530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-25-nti
2025-08-26T19:45:33.9726360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/origpc3
2025-08-26T19:45:33.9727240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-w-vt
2025-08-26T19:45:33.9727950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-60-w
2025-08-26T19:45:33.9728720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/origibmpc3
2025-08-26T19:45:33.9729470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/old-st
2025-08-26T19:45:33.9730310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/ojerq
2025-08-26T19:45:33.9731280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-25
2025-08-26T19:45:33.9732130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-35-nti
2025-08-26T19:45:33.9732850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/os9LII
2025-08-26T19:45:33.9733540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6a/jfbterm
2025-08-26T19:45:33.9734310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6a/jaixterm-m
2025-08-26T19:45:33.9735000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6a/jerq
2025-08-26T19:45:33.9735800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6a/jaixterm
2025-08-26T19:45:33.9736460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/32/2621
2025-08-26T19:45:33.9737360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/32/2621-wl
2025-08-26T19:45:33.9738150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/32/2621A
2025-08-26T19:45:33.9738910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/35/5051
2025-08-26T19:45:33.9739730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/35/5410-w
2025-08-26T19:45:33.9740390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/35/5630-24
2025-08-26T19:45:33.9741270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/35/5630DMD-24
2025-08-26T19:45:33.9742050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/35/5620
2025-08-26T19:45:33.9742890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris-ansi
2025-08-26T19:45:33.9743610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iq140
2025-08-26T19:45:33.9744430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3161
2025-08-26T19:45:33.9745260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intertube2
2025-08-26T19:45:33.9746080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6154-c
2025-08-26T19:45:33.9746700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iterm
2025-08-26T19:45:33.9747550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intertube
2025-08-26T19:45:33.9748340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3151
2025-08-26T19:45:33.9749280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5051
2025-08-26T19:45:33.9750220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8604
2025-08-26T19:45:33.9750950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/infoton
2025-08-26T19:45:33.9751820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpc3r-mono
2025-08-26T19:45:33.9752510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmaed
2025-08-26T19:45:33.9753340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpc
2025-08-26T19:45:33.9754040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ips
2025-08-26T19:45:33.9754880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm327x
2025-08-26T19:45:33.9755560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibcs2
2025-08-26T19:45:33.9756190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/i100
2025-08-26T19:45:33.9757180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmmpel-c
2025-08-26T19:45:33.9757910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmega
2025-08-26T19:45:33.9758700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5154
2025-08-26T19:45:33.9759570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iTerm2.app
2025-08-26T19:45:33.9760380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris-ansi-net
2025-08-26T19:45:33.9761280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/infoton2
2025-08-26T19:45:33.9762310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmvga-c
2025-08-26T19:45:33.9762930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm+16color
2025-08-26T19:45:33.9763660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ims-ansi
2025-08-26T19:45:33.9764460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm-system1
2025-08-26T19:45:33.9765270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmapa8c
2025-08-26T19:45:33.9766050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8503
2025-08-26T19:45:33.9766760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmega-c
2025-08-26T19:45:33.9767660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmx
2025-08-26T19:45:33.9768470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm-pc
2025-08-26T19:45:33.9769250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intext2
2025-08-26T19:45:33.9770110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5081
2025-08-26T19:45:33.9770890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmapa8c-c
2025-08-26T19:45:33.9771530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ipsi
2025-08-26T19:45:33.9772330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3162
2025-08-26T19:45:33.9773290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris-color
2025-08-26T19:45:33.9774110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ims950-rv
2025-08-26T19:45:33.9774870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8512
2025-08-26T19:45:33.9775710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3161-C
2025-08-26T19:45:33.9776370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iq120
2025-08-26T19:45:33.9777240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3163
2025-08-26T19:45:33.9778080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3164
2025-08-26T19:45:33.9778990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6153-90
2025-08-26T19:45:33.9779850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8513
2025-08-26T19:45:33.9780540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5081-c
2025-08-26T19:45:33.9781230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris40
2025-08-26T19:45:33.9782010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8514
2025-08-26T19:45:33.9782820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3101
2025-08-26T19:45:33.9783590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iterm2
2025-08-26T19:45:33.9784450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6153
2025-08-26T19:45:33.9785250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intertec
2025-08-26T19:45:33.9786050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6154
2025-08-26T19:45:33.9786970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpc3r
2025-08-26T19:45:33.9787800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmvga
2025-08-26T19:45:33.9788560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6155
2025-08-26T19:45:33.9789360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ims950-b
2025-08-26T19:45:33.9790350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/interix-nti
2025-08-26T19:45:33.9791120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmmono
2025-08-26T19:45:33.9791980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmapa8
2025-08-26T19:45:33.9792830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iTerm.app
2025-08-26T19:45:33.9793460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/icl6404
2025-08-26T19:45:33.9794340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/icl6404-w
2025-08-26T19:45:33.9795360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iterm2-direct
2025-08-26T19:45:33.9796120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/i3101
2025-08-26T19:45:33.9796850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intext
2025-08-26T19:45:33.9797650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/interix
2025-08-26T19:45:33.9798440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpc3
2025-08-26T19:45:33.9799250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5151
2025-08-26T19:45:33.9800050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpcx
2025-08-26T19:45:33.9800880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm+color
2025-08-26T19:45:33.9801620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/i3164
2025-08-26T19:45:33.9802370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/icl6402
2025-08-26T19:45:33.9803180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ifmr
2025-08-26T19:45:33.9803840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/i400
2025-08-26T19:45:33.9804660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8507
2025-08-26T19:45:33.9805390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ims950
2025-08-26T19:45:33.9806400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris-ansi-ap
2025-08-26T19:45:33.9807110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmapa16
2025-08-26T19:45:33.9807910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm-apl
2025-08-26T19:45:33.9808590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intextii
2025-08-26T19:45:33.9809460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8514-c
2025-08-26T19:45:33.9810290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5154-c
2025-08-26T19:45:33.9811210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6153-40
2025-08-26T19:45:33.9812020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-H
2025-08-26T19:45:33.9812770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q306-8-pc
2025-08-26T19:45:33.9813720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-H-am
2025-08-26T19:45:33.9814630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-w-am
2025-08-26T19:45:33.9815390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-w
2025-08-26T19:45:33.9816280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-Hw
2025-08-26T19:45:33.9817070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/58/X-hpterm
2025-08-26T19:45:33.9817890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/58/X-hpterm-color2
2025-08-26T19:45:33.9818770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-2012
2025-08-26T19:45:33.9819550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-44
2025-08-26T19:45:33.9820360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru+rv
2025-08-26T19:45:33.9821160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru
2025-08-26T19:45:33.9822040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator
2025-08-26T19:45:33.9823010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome+pcfkeys
2025-08-26T19:45:33.9823850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/go140
2025-08-26T19:45:33.9824800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-s
2025-08-26T19:45:33.9825500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-lp
2025-08-26T19:45:33.9826400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-w-s
2025-08-26T19:45:33.9827050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gsi
2025-08-26T19:45:33.9828040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs6300
2025-08-26T19:45:33.9828910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator-52
2025-08-26T19:45:33.9829640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-44-s
2025-08-26T19:45:33.9830480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-rh72
2025-08-26T19:45:33.9831260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs5430-24
2025-08-26T19:45:33.9832170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-rh80
2025-08-26T19:45:33.9833050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru+s
2025-08-26T19:45:33.9833880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-fc5
2025-08-26T19:45:33.9834720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs5430-22
2025-08-26T19:45:33.9835450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt40
2025-08-26T19:45:33.9836180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/go225
2025-08-26T19:45:33.9837020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-33-rv
2025-08-26T19:45:33.9837830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome
2025-08-26T19:45:33.9838660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-2007
2025-08-26T19:45:33.9839490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gigi
2025-08-26T19:45:33.9840330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-33
2025-08-26T19:45:33.9841270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-2008
2025-08-26T19:45:33.9842080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator-t
2025-08-26T19:45:33.9842890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/graphos
2025-08-26T19:45:33.9843750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76
2025-08-26T19:45:33.9844580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/glasstty
2025-08-26T19:45:33.9845520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-256color
2025-08-26T19:45:33.9846290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs5430
2025-08-26T19:45:33.9847060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-rv
2025-08-26T19:45:33.9847900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-24
2025-08-26T19:45:33.9848730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru+unk
2025-08-26T19:45:33.9849540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-rh90
2025-08-26T19:45:33.9850400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-w
2025-08-26T19:45:33.9851160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-nctxt
2025-08-26T19:45:33.9852060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-rh62
2025-08-26T19:45:33.9853000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/go-225
2025-08-26T19:45:33.9853840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt100a
2025-08-26T19:45:33.9854640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt100
2025-08-26T19:45:33.9855340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt42
2025-08-26T19:45:33.9856050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-s
2025-08-26T19:45:33.9856820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-lp
2025-08-26T19:45:33.9857630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/go140w
2025-08-26T19:45:33.9858530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/graphos-30
2025-08-26T19:45:33.9859360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-33-s
2025-08-26T19:45:33.9860130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator-52t
2025-08-26T19:45:33.9860970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-wm
2025-08-26T19:45:33.9861800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/34/4410-w
2025-08-26T19:45:33.9862690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/34/4027ex
2025-08-26T19:45:33.9863450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/34/4025ex
2025-08-26T19:45:33.9864210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/33/386at
2025-08-26T19:45:33.9865030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/33/3b1
2025-08-26T19:45:33.9865970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4e/NCR260VT300WPP
2025-08-26T19:45:33.9866870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4e/NCRVT100WPP
2025-08-26T19:45:33.9867700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/45/Eterm-88color
2025-08-26T19:45:33.9868430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/45/Eterm
2025-08-26T19:45:33.9869390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/45/Eterm-256color
2025-08-26T19:45:33.9870160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/45/Eterm-color
2025-08-26T19:45:33.9871460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1b-nb
2025-08-26T19:45:33.9872190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scanset
2025-08-26T19:45:33.9872770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/swtp
2025-08-26T19:45:33.9873500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbee-xsb
2025-08-26T19:45:33.9874120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/synertek380
2025-08-26T19:45:33.9874760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-256color
2025-08-26T19:45:33.9875390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen5
2025-08-26T19:45:33.9876000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/soroc140
2025-08-26T19:45:33.9876690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-16color
2025-08-26T19:45:33.9877290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen2
2025-08-26T19:45:33.9877890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-17
2025-08-26T19:45:33.9878590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty
2025-08-26T19:45:33.9879130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun
2025-08-26T19:45:33.9879810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-16color
2025-08-26T19:45:33.9880490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stterm-256color
2025-08-26T19:45:33.9881080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen3
2025-08-26T19:45:33.9881680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen4
2025-08-26T19:45:33.9882500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.konsole-256color
2025-08-26T19:45:33.9883010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/s4
2025-08-26T19:45:33.9883740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty-m1
2025-08-26T19:45:33.9884490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-16color-bce-s
2025-08-26T19:45:33.9885200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color-bce
2025-08-26T19:45:33.9885930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel12-80
2025-08-26T19:45:33.9886530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbee
2025-08-26T19:45:33.9887130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-0.7
2025-08-26T19:45:33.9887850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty-m1b
2025-08-26T19:45:33.9888460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-cgsix
2025-08-26T19:45:33.9889010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sb3
2025-08-26T19:45:33.9889660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scoansi
2025-08-26T19:45:33.9890380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.konsole
2025-08-26T19:45:33.9890930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52-m
2025-08-26T19:45:33.9891530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-0.6
2025-08-26T19:45:33.9892210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.rxvt
2025-08-26T19:45:33.9892850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-type4
2025-08-26T19:45:33.9893430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-0.8
2025-08-26T19:45:33.9894040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sb2
2025-08-26T19:45:33.9894770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-m1b
2025-08-26T19:45:33.9895470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbeeic
2025-08-26T19:45:33.9896220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-e-s
2025-08-26T19:45:33.9897110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-cmd
2025-08-26T19:45:33.9897920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/soroc
2025-08-26T19:45:33.9898910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.gnome
2025-08-26T19:45:33.9899720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-r6
2025-08-26T19:45:33.9900540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-s
2025-08-26T19:45:33.9901370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-c
2025-08-26T19:45:33.9902300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.vte
2025-08-26T19:45:33.9903020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sune
2025-08-26T19:45:33.9903910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1-nb
2025-08-26T19:45:33.9904700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-base
2025-08-26T19:45:33.9905550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.gnome
2025-08-26T19:45:33.9906440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-m2
2025-08-26T19:45:33.9907220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun2
2025-08-26T19:45:33.9908030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-w
2025-08-26T19:45:33.9909050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-xfree86
2025-08-26T19:45:33.9909790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stterm
2025-08-26T19:45:33.9910510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-ss5
2025-08-26T19:45:33.9911270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-e
2025-08-26T19:45:33.9912040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-nic
2025-08-26T19:45:33.9912960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.mlterm-256color
2025-08-26T19:45:33.9913870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.rxvt
2025-08-26T19:45:33.9914580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-34
2025-08-26T19:45:33.9915500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel2-80
2025-08-26T19:45:33.9916310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-direct
2025-08-26T19:45:33.9917120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/simterm
2025-08-26T19:45:33.9918060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1b
2025-08-26T19:45:33.9918770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sc415
2025-08-26T19:45:33.9919530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sibo
2025-08-26T19:45:33.9920400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scoansi-old
2025-08-26T19:45:33.9921130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stv52
2025-08-26T19:45:33.9922070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-16color-s
2025-08-26T19:45:33.9923040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.xterm-new
2025-08-26T19:45:33.9923780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st
2025-08-26T19:45:33.9924580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52-color
2025-08-26T19:45:33.9925370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sbobcat
2025-08-26T19:45:33.9926220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux
2025-08-26T19:45:33.9926990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-12
2025-08-26T19:45:33.9928040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color-bce-s
2025-08-26T19:45:33.9928890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen+italics
2025-08-26T19:45:33.9929540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-24
2025-08-26T19:45:33.9930370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty-m2
2025-08-26T19:45:33.9931330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.linux
2025-08-26T19:45:33.9932050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screwpoint
2025-08-26T19:45:33.9932800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/soroc120
2025-08-26T19:45:33.9933500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-48
2025-08-26T19:45:33.9934300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/simpleterm
2025-08-26T19:45:33.9935060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/synertek
2025-08-26T19:45:33.9935920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scrt
2025-08-26T19:45:33.9936650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen
2025-08-26T19:45:33.9937560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-il
2025-08-26T19:45:33.9938410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce
2025-08-26T19:45:33.9939130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sbi
2025-08-26T19:45:33.9939800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sb1
2025-08-26T19:45:33.9940900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-256color
2025-08-26T19:45:33.9941570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52
2025-08-26T19:45:33.9942390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scrhp
2025-08-26T19:45:33.9943400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stterm-16color
2025-08-26T19:45:33.9944270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scoansi-new
2025-08-26T19:45:33.9945210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbrain
2025-08-26T19:45:33.9949320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color-s
2025-08-26T19:45:33.9949470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sv80
2025-08-26T19:45:33.9949620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.mlterm
2025-08-26T19:45:33.9949790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.vte-256color
2025-08-26T19:45:33.9949970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty-256color
2025-08-26T19:45:33.9950530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.mrxvt
2025-08-26T19:45:33.9951260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52-old
2025-08-26T19:45:33.9952170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.Eterm
2025-08-26T19:45:33.9953410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/spinwriter
2025-08-26T19:45:33.9953910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-s
2025-08-26T19:45:33.9954880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun1
2025-08-26T19:45:33.9955750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.teraterm
2025-08-26T19:45:33.9956660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.Eterm
2025-08-26T19:45:33.9957510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.mrxvt
2025-08-26T19:45:33.9958520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-16color-bce
2025-08-26T19:45:33.9959140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-s
2025-08-26T19:45:33.9960000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stv52pc
2025-08-26T19:45:33.9960960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1b-80
2025-08-26T19:45:33.9962230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/system1
2025-08-26T19:45:33.9962840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-m1
2025-08-26T19:45:33.9963770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-1
2025-08-26T19:45:33.9964390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-color
2025-08-26T19:45:33.9965270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-new
2025-08-26T19:45:33.9966200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color
2025-08-26T19:45:33.9967050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen+fkeys
2025-08-26T19:45:33.9967950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.konsole
2025-08-26T19:45:33.9968630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun+sl
2025-08-26T19:45:33.9969430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sc410
2025-08-26T19:45:33.9970290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-s-e
2025-08-26T19:45:33.9971480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1
2025-08-26T19:45:33.9972020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/securecrt
2025-08-26T19:45:33.9972760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4424
2025-08-26T19:45:33.9973370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw52
2025-08-26T19:45:33.9974420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-mc-vb
2025-08-26T19:45:33.9975140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-s
2025-08-26T19:45:33.9976090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-unk-2p
2025-08-26T19:45:33.9977050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-rv
2025-08-26T19:45:33.9977900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-15
2025-08-26T19:45:33.9978720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-1
2025-08-26T19:45:33.9979530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek
2025-08-26T19:45:33.9980290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti926-8
2025-08-26T19:45:33.9981170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-mc
2025-08-26T19:45:33.9981910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb
2025-08-26T19:45:33.9982780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi925-hi
2025-08-26T19:45:33.9983440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty33
2025-08-26T19:45:33.9984270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4027-ex
2025-08-26T19:45:33.9984910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4107
2025-08-26T19:45:33.9985660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti928-8
2025-08-26T19:45:33.9986590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-rv
2025-08-26T19:45:33.9987370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p-p
2025-08-26T19:45:33.9988180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb-unk
2025-08-26T19:45:33.9988940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ttydmd
2025-08-26T19:45:33.9989770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-p-2p
2025-08-26T19:45:33.9990520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4109
2025-08-26T19:45:33.9991310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty35
2025-08-26T19:45:33.9992270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-mc-2p
2025-08-26T19:45:33.9993110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-8-132
2025-08-26T19:45:33.9993980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p-unk
2025-08-26T19:45:33.9994690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti931
2025-08-26T19:45:33.9995540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi970-vb
2025-08-26T19:45:33.9996260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5425
2025-08-26T19:45:33.9997070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts-1p
2025-08-26T19:45:33.9997900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920
2025-08-26T19:45:33.9998660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-34
2025-08-26T19:45:33.9999470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi9065
2025-08-26T19:45:34.0000370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-p-2p
2025-08-26T19:45:34.0001130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p-p
2025-08-26T19:45:34.0001980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+printer
2025-08-26T19:45:34.0002860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-mc-2p
2025-08-26T19:45:34.0003670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t16
2025-08-26T19:45:34.0004580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c
2025-08-26T19:45:34.0005490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-unk-vb
2025-08-26T19:45:34.0006100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tgtelnet
2025-08-26T19:45:34.0007040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-unk
2025-08-26T19:45:34.0007790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4027
2025-08-26T19:45:34.0008750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology
2025-08-26T19:45:34.0009580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620
2025-08-26T19:45:34.0010420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-mc-vb
2025-08-26T19:45:34.0011250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b+fn
2025-08-26T19:45:34.0012150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws2103-sna
2025-08-26T19:45:34.0013000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4105-30
2025-08-26T19:45:34.0013920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws2102-sna
2025-08-26T19:45:34.0014800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-17-ws
2025-08-26T19:45:34.0015530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b
2025-08-26T19:45:34.0016390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-mc
2025-08-26T19:45:34.0017140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi910
2025-08-26T19:45:34.0017910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb
2025-08-26T19:45:34.0018770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4424-1
2025-08-26T19:45:34.0019460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t10
2025-08-26T19:45:34.0020440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-unk
2025-08-26T19:45:34.0021050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti707
2025-08-26T19:45:34.0021750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi921
2025-08-26T19:45:34.0022550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti700
2025-08-26T19:45:34.0023160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4404
2025-08-26T19:45:34.0024090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p
2025-08-26T19:45:34.0024900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-2p
2025-08-26T19:45:34.0025770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken
2025-08-26T19:45:34.0026510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tt52
2025-08-26T19:45:34.0027330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025a
2025-08-26T19:45:34.0028150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb-p
2025-08-26T19:45:34.0029040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-unk-2p
2025-08-26T19:45:34.0029760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410v1-w
2025-08-26T19:45:34.0030420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trs2
2025-08-26T19:45:34.0031390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-mc-2p
2025-08-26T19:45:34.0032140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950
2025-08-26T19:45:34.0032900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924
2025-08-26T19:45:34.0033990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw52-m
2025-08-26T19:45:34.0034780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-132
2025-08-26T19:45:34.0035990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-nl
2025-08-26T19:45:34.0036490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5425-w
2025-08-26T19:45:34.0037250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-rv
2025-08-26T19:45:34.0038200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-p-vb
2025-08-26T19:45:34.0039060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-mc-vb
2025-08-26T19:45:34.0039750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi970-2p
2025-08-26T19:45:34.0040600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4207
2025-08-26T19:45:34.0041490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm4.59
2025-08-26T19:45:34.0042290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912cc
2025-08-26T19:45:34.0043370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb-unk
2025-08-26T19:45:34.0044080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t3800
2025-08-26T19:45:34.0045120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-mc-vb
2025-08-26T19:45:34.0045980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology-1.0.0
2025-08-26T19:45:34.0046710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw100
2025-08-26T19:45:34.0047570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+dim
2025-08-26T19:45:34.0048430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminet300
2025-08-26T19:45:34.0049320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-2018
2025-08-26T19:45:34.0050530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti703-w
2025-08-26T19:45:34.0050980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty43
2025-08-26T19:45:34.0051720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4113
2025-08-26T19:45:34.0052540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-16color
2025-08-26T19:45:34.0053470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminator
2025-08-26T19:45:34.0054240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4114
2025-08-26T19:45:34.0055040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti_ansi
2025-08-26T19:45:34.0055840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts100-ctxt
2025-08-26T19:45:34.0056580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5425-nl
2025-08-26T19:45:34.0057300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teletec
2025-08-26T19:45:34.0058240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts1p
2025-08-26T19:45:34.0059150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p-unk
2025-08-26T19:45:34.0060110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-p-vb
2025-08-26T19:45:34.0060900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4125
2025-08-26T19:45:34.0061690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-rv-4p
2025-08-26T19:45:34.0062450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts100
2025-08-26T19:45:34.0063170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p
2025-08-26T19:45:34.0063970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410-w
2025-08-26T19:45:34.0064880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb-p
2025-08-26T19:45:34.0065570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab
2025-08-26T19:45:34.0066360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti707-w
2025-08-26T19:45:34.0067100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-p
2025-08-26T19:45:34.0067870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi955-w
2025-08-26T19:45:34.0068800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-mc-2p
2025-08-26T19:45:34.0069790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4113-34
2025-08-26T19:45:34.0070480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-p
2025-08-26T19:45:34.0071080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4115
2025-08-26T19:45:34.0071700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-unk-vb
2025-08-26T19:45:34.0072260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4112
2025-08-26T19:45:34.0072930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminet1200
2025-08-26T19:45:34.0073510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t3700
2025-08-26T19:45:34.0074230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-sc+fkeys
2025-08-26T19:45:34.0074860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t1061f
2025-08-26T19:45:34.0075430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty37
2025-08-26T19:45:34.0076070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c
2025-08-26T19:45:34.0076660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t1061
2025-08-26T19:45:34.0077290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi803
2025-08-26T19:45:34.0077900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tn1200
2025-08-26T19:45:34.0078490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924-8
2025-08-26T19:45:34.0079180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb-unk
2025-08-26T19:45:34.0079870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-vt+fkeys
2025-08-26T19:45:34.0080470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts100-sp
2025-08-26T19:45:34.0081080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4420
2025-08-26T19:45:34.0082000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p-mc
2025-08-26T19:45:34.0082420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4424m
2025-08-26T19:45:34.0083000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4105
2025-08-26T19:45:34.0083710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4015-sm
2025-08-26T19:45:34.0084390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb-mc
2025-08-26T19:45:34.0084950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminet
2025-08-26T19:45:34.0085520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b
2025-08-26T19:45:34.0086210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w
2025-08-26T19:45:34.0087220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-w-rv
2025-08-26T19:45:34.0087490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teleray
2025-08-26T19:45:34.0088100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trsII
2025-08-26T19:45:34.0088740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+vb
2025-08-26T19:45:34.0089400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-p-2p
2025-08-26T19:45:34.0090070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p-p
2025-08-26T19:45:34.0090690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4109brl
2025-08-26T19:45:34.0091290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4426
2025-08-26T19:45:34.0091980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p
2025-08-26T19:45:34.0092890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-unk-2p
2025-08-26T19:45:34.0093360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w-rv
2025-08-26T19:45:34.0093940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4112-5
2025-08-26T19:45:34.0094670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tmux-256color
2025-08-26T19:45:34.0095230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi924
2025-08-26T19:45:34.0095900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-rv-nl
2025-08-26T19:45:34.0096490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924-8w
2025-08-26T19:45:34.0097240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p-p
2025-08-26T19:45:34.0097970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-w
2025-08-26T19:45:34.0098630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts-1
2025-08-26T19:45:34.0099600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-p-2p
2025-08-26T19:45:34.0100530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws-generic
2025-08-26T19:45:34.0101330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tandem6510
2025-08-26T19:45:34.0102420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm-256color
2025-08-26T19:45:34.0103230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb-mc
2025-08-26T19:45:34.0103920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912
2025-08-26T19:45:34.0104790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm
2025-08-26T19:45:34.0105470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti733
2025-08-26T19:45:34.0106260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025
2025-08-26T19:45:34.0106940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+mc
2025-08-26T19:45:34.0107680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410
2025-08-26T19:45:34.0108410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi92D
2025-08-26T19:45:34.0109340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-unk-vb
2025-08-26T19:45:34.0110010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4014
2025-08-26T19:45:34.0110890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-vt
2025-08-26T19:45:34.0111750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p
2025-08-26T19:45:34.0112490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4013
2025-08-26T19:45:34.0113170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi970
2025-08-26T19:45:34.0114010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-unk
2025-08-26T19:45:34.0114760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi914
2025-08-26T19:45:34.0115400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti735
2025-08-26T19:45:34.0116050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tmux
2025-08-26T19:45:34.0116820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti703
2025-08-26T19:45:34.0117600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi925
2025-08-26T19:45:34.0118500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t653x
2025-08-26T19:45:34.0119280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw52-color
2025-08-26T19:45:34.0120060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trs16
2025-08-26T19:45:34.0120920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4012
2025-08-26T19:45:34.0121820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420
2025-08-26T19:45:34.0122660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trs80II
2025-08-26T19:45:34.0123400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4015
2025-08-26T19:45:34.0124180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-sc
2025-08-26T19:45:34.0125080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-p
2025-08-26T19:45:34.0125930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p-unk
2025-08-26T19:45:34.0126640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132
2025-08-26T19:45:34.0127410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4023
2025-08-26T19:45:34.0128200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-p
2025-08-26T19:45:34.0128850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tandem653
2025-08-26T19:45:34.0129610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4024
2025-08-26T19:45:34.0130480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p-mc
2025-08-26T19:45:34.0131320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi955-hb
2025-08-26T19:45:34.0132120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi92B
2025-08-26T19:45:34.0132960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-unk
2025-08-26T19:45:34.0134020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4014-sm
2025-08-26T19:45:34.0134580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w-nl
2025-08-26T19:45:34.0135260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916
2025-08-26T19:45:34.0136410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4205
2025-08-26T19:45:34.0136940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb-p
2025-08-26T19:45:34.0138030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm4.97
2025-08-26T19:45:34.0138610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-cr
2025-08-26T19:45:34.0139520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4113-nd
2025-08-26T19:45:34.0140380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb-mc
2025-08-26T19:45:34.0141280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb-unk
2025-08-26T19:45:34.0142110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tmux-direct
2025-08-26T19:45:34.0142990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-220-7
2025-08-26T19:45:34.0143890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4107brl
2025-08-26T19:45:34.0144550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts1
2025-08-26T19:45:34.0145330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti926
2025-08-26T19:45:34.0146560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-unk-2p
2025-08-26T19:45:34.0147080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924w
2025-08-26T19:45:34.0147710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tn300
2025-08-26T19:45:34.0148530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi955
2025-08-26T19:45:34.0149430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-4p
2025-08-26T19:45:34.0150160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti928
2025-08-26T19:45:34.0151080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-mc
2025-08-26T19:45:34.0152080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb
2025-08-26T19:45:34.0152780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti745
2025-08-26T19:45:34.0153600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws2103
2025-08-26T19:45:34.0154370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-220-8
2025-08-26T19:45:34.0155180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-24
2025-08-26T19:45:34.0156100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410v1
2025-08-26T19:45:34.0157010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420+nl
2025-08-26T19:45:34.0157730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025ex
2025-08-26T19:45:34.0158480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-ex
2025-08-26T19:45:34.0159420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p-mc
2025-08-26T19:45:34.0160190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-p-vb
2025-08-26T19:45:34.0160910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti800
2025-08-26T19:45:34.0161770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-p-vb
2025-08-26T19:45:34.0162600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w-rv-n
2025-08-26T19:45:34.0163490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+2p
2025-08-26T19:45:34.0164230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty40
2025-08-26T19:45:34.0165220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-unk-vb
2025-08-26T19:45:34.0166050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-rv-2p
2025-08-26T19:45:34.0166910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-mc
2025-08-26T19:45:34.0167850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb
2025-08-26T19:45:34.0168570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tt
2025-08-26T19:45:34.0169240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4207-s
2025-08-26T19:45:34.0170190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p-mc
2025-08-26T19:45:34.0170890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-8
2025-08-26T19:45:34.0171690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm2.3
2025-08-26T19:45:34.0172650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology-0.6.1
2025-08-26T19:45:34.0173580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi910+
2025-08-26T19:45:34.0174350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvipt
2025-08-26T19:45:34.0175320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb-mc
2025-08-26T19:45:34.0176210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/termite
2025-08-26T19:45:34.0177080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p-unk
2025-08-26T19:45:34.0177880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4105a
2025-08-26T19:45:34.0178620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4112-nd
2025-08-26T19:45:34.0179490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-2022
2025-08-26T19:45:34.0180410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-17
2025-08-26T19:45:34.0181330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb-p
2025-08-26T19:45:34.0182240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4106brl
2025-08-26T19:45:34.0183200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology-1.8.1
2025-08-26T19:45:34.0183900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tkterm
2025-08-26T19:45:34.0184870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4c/LFT-PC850
2025-08-26T19:45:34.0185690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4d/MtxOrb162
2025-08-26T19:45:34.0186410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4d/MtxOrb
2025-08-26T19:45:34.0187160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4d/MtxOrb204
2025-08-26T19:45:34.0187920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uniterm
2025-08-26T19:45:34.0188800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/ultima2
2025-08-26T19:45:34.0189760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uniterm49
2025-08-26T19:45:34.0190570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uts30
2025-08-26T19:45:34.0191380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/ultimaII
2025-08-26T19:45:34.0192060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/unixpc
2025-08-26T19:45:34.0192850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/unknown
2025-08-26T19:45:34.0193580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uwin
2025-08-26T19:45:34.0194860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rebus3180
2025-08-26T19:45:34.0195330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rbcomm-w
2025-08-26T19:45:34.0196290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/report+version
2025-08-26T19:45:34.0197030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-xpm
2025-08-26T19:45:34.0197750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rtpc
2025-08-26T19:45:34.0198730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-16color
2025-08-26T19:45:34.0199660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-cygwin-native
2025-08-26T19:45:34.0200560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent200
2025-08-26T19:45:34.0201470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rt6221
2025-08-26T19:45:34.0202340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rbcomm-nam
2025-08-26T19:45:34.0203020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rbcomm
2025-08-26T19:45:34.0203910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-88color
2025-08-26T19:45:34.0204740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rcons
2025-08-26T19:45:34.0205570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-cygwin
2025-08-26T19:45:34.0206340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent40
2025-08-26T19:45:34.0207120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent100
2025-08-26T19:45:34.0207870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent25
2025-08-26T19:45:34.0208830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/report+da2
2025-08-26T19:45:34.0209680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt
2025-08-26T19:45:34.0210460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent60
2025-08-26T19:45:34.0211170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rio
2025-08-26T19:45:34.0211940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rca
2025-08-26T19:45:34.0212770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-color
2025-08-26T19:45:34.0213700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-256color
2025-08-26T19:45:34.0214490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rt6221-w
2025-08-26T19:45:34.0215250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-basic
2025-08-26T19:45:34.0216120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rcons-color
2025-08-26T19:45:34.0216900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rio-direct
2025-08-26T19:45:34.0217740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent40+
2025-08-26T19:45:34.0218690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt+pcfkeys
2025-08-26T19:45:34.0219430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent
2025-08-26T19:45:34.0220260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent20
2025-08-26T19:45:34.0221090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-vt100
2025-08-26T19:45:34.0221780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kterm
2025-08-26T19:45:34.0222680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-direct
2025-08-26T19:45:34.0223640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-base
2025-08-26T19:45:34.0224330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+sgr
2025-08-26T19:45:34.0225130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kds7372-w
2025-08-26T19:45:34.0225950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kterm-color
2025-08-26T19:45:34.0226830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-vt420pc
2025-08-26T19:45:34.0227500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kvt
2025-08-26T19:45:34.0228220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kaypro
2025-08-26T19:45:34.0229010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole
2025-08-26T19:45:34.0230040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-solaris
2025-08-26T19:45:34.0230930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-linux
2025-08-26T19:45:34.0231590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/ktm
2025-08-26T19:45:34.0232630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+sgr-dumb
2025-08-26T19:45:34.0233340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty+common
2025-08-26T19:45:34.0234230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-16color
2025-08-26T19:45:34.0234920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/k45
2025-08-26T19:45:34.0235690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kermit-am
2025-08-26T19:45:34.0236510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kds6402
2025-08-26T19:45:34.0237290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kds7372
2025-08-26T19:45:34.0238140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+acs
2025-08-26T19:45:34.0238970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty+setal
2025-08-26T19:45:34.0239900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole+pcfkeys
2025-08-26T19:45:34.0240890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-xf3x
2025-08-26T19:45:34.0241580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kt7ix
2025-08-26T19:45:34.0242720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-256color
2025-08-26T19:45:34.0243250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kermit
2025-08-26T19:45:34.0243990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty-direct
2025-08-26T19:45:34.0244870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kt7
2025-08-26T19:45:34.0245660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+color
2025-08-26T19:45:34.0246510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty
2025-08-26T19:45:34.0247280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kterm-co
2025-08-26T19:45:34.0248190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+koi8acs
2025-08-26T19:45:34.0248960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+sgr8
2025-08-26T19:45:34.0249720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-xf4x
2025-08-26T19:45:34.0250370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kon
2025-08-26T19:45:34.0251190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kaypro2
2025-08-26T19:45:34.0251960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kon2
2025-08-26T19:45:34.0252810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/38/8510
2025-08-26T19:45:34.0253620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newscbm
2025-08-26T19:45:34.0254610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-25-mc-nl
2025-08-26T19:45:34.0255490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160wy60wpp
2025-08-26T19:45:34.0256410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build309
2025-08-26T19:45:34.0257140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp-517
2025-08-26T19:45:34.0257970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt200wpp
2025-08-26T19:45:34.0258840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-25-w
2025-08-26T19:45:34.0259530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy50+pp
2025-08-26T19:45:34.0260370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news28-a
2025-08-26T19:45:34.0261340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-25
2025-08-26T19:45:34.0262170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-29-euc
2025-08-26T19:45:34.0263010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/next
2025-08-26T19:45:34.0263900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp-511
2025-08-26T19:45:34.0264670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-s
2025-08-26T19:45:34.0265350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/netbsd6
2025-08-26T19:45:34.0266170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-50-w
2025-08-26T19:45:34.0266790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-60-nti
2025-08-26T19:45:34.0267450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-s-7
2025-08-26T19:45:34.0268130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build440
2025-08-26T19:45:34.0268790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt100an
2025-08-26T19:45:34.0269440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt+sl
2025-08-26T19:45:34.0270100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt100pp
2025-08-26T19:45:34.0270770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newhpkeyboard
2025-08-26T19:45:34.0271590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-42-sjis
2025-08-26T19:45:34.0272130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vpwpp
2025-08-26T19:45:34.0272740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nxterm
2025-08-26T19:45:34.0273400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwe501
2025-08-26T19:45:34.0274000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansisysk
2025-08-26T19:45:34.0274690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt200an
2025-08-26T19:45:34.0275350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt300pp
2025-08-26T19:45:34.0276290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy325wpp
2025-08-26T19:45:34.0276870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vp+sl
2025-08-26T19:45:34.0277620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news40
2025-08-26T19:45:34.0278540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-35-w
2025-08-26T19:45:34.0279410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy350wpp
2025-08-26T19:45:34.0280220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt300wpp
2025-08-26T19:45:34.0281010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-100
2025-08-26T19:45:34.0282060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-vt220-8
2025-08-26T19:45:34.0282790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp512-a
2025-08-26T19:45:34.0283620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp518-o
2025-08-26T19:45:34.0284560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt300an
2025-08-26T19:45:34.0285310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt200pp
2025-08-26T19:45:34.0286190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt100wpp
2025-08-26T19:45:34.0286910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500
2025-08-26T19:45:34.0287860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp512-o
2025-08-26T19:45:34.0288610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp518-a
2025-08-26T19:45:34.0289640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-100-nti
2025-08-26T19:45:34.0290490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news40-o
2025-08-26T19:45:34.0291330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m
2025-08-26T19:45:34.0292150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-mc
2025-08-26T19:45:34.0292970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+s
2025-08-26T19:45:34.0293690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-nl
2025-08-26T19:45:34.0294520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news40-a
2025-08-26T19:45:34.0295250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c
2025-08-26T19:45:34.0296000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nec5520
2025-08-26T19:45:34.0296930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy325pp
2025-08-26T19:45:34.0297720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt100wan
2025-08-26T19:45:34.0298590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-7-s
2025-08-26T19:45:34.0299370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwe501-o
2025-08-26T19:45:34.0300080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news31
2025-08-26T19:45:34.0301030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt300wan
2025-08-26T19:45:34.0301930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp251-o
2025-08-26T19:45:34.0302660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncrvt100wan
2025-08-26T19:45:34.0303610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-old-unk
2025-08-26T19:45:34.0304510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp251-a
2025-08-26T19:45:34.0305100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwe501-a
2025-08-26T19:45:34.0305900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-s-acs
2025-08-26T19:45:34.0306720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+7
2025-08-26T19:45:34.0307710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build400
2025-08-26T19:45:34.0308540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-bce
2025-08-26T19:45:34.0309360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncrvt100an
2025-08-26T19:45:34.0310250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-mc-nl
2025-08-26T19:45:34.0311080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansisys
2025-08-26T19:45:34.0311940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+acs
2025-08-26T19:45:34.0312780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-w
2025-08-26T19:45:34.0313580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-acs
2025-08-26T19:45:34.0314430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-33-sjis
2025-08-26T19:45:34.0315210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-m
2025-08-26T19:45:34.0316060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-s-acs
2025-08-26T19:45:34.0316790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp518
2025-08-26T19:45:34.0317590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp511
2025-08-26T19:45:34.0318380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-7
2025-08-26T19:45:34.0319130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp517-w
2025-08-26T19:45:34.0320160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260intwan
2025-08-26T19:45:34.0321080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-c-s
2025-08-26T19:45:34.0321820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-s
2025-08-26T19:45:34.0322640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy350pp
2025-08-26T19:45:34.0323560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+c41
2025-08-26T19:45:34.0324310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp517
2025-08-26T19:45:34.0325190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa
2025-08-26T19:45:34.0325970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news31-a
2025-08-26T19:45:34.0326710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260intan
2025-08-26T19:45:34.0327480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newhp
2025-08-26T19:45:34.0328390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news31-o
2025-08-26T19:45:34.0329240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-s
2025-08-26T19:45:34.0330070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt200wan
2025-08-26T19:45:34.0330850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/n7900
2025-08-26T19:45:34.0331770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-29-sjis
2025-08-26T19:45:34.0332630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160wy50+wpp
2025-08-26T19:45:34.0333550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-25
2025-08-26T19:45:34.0334310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nd9500
2025-08-26T19:45:34.0335200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-7
2025-08-26T19:45:34.0336180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-m-s
2025-08-26T19:45:34.0336880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-50
2025-08-26T19:45:34.0337870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build361
2025-08-26T19:45:34.0338640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vpwpp
2025-08-26T19:45:34.0339410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr7900iv
2025-08-26T19:45:34.0340290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-s-acs
2025-08-26T19:45:34.0340960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr7901
2025-08-26T19:45:34.0341810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt100wan
2025-08-26T19:45:34.0342930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansi.sysk
2025-08-26T19:45:34.0343720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt300pp
2025-08-26T19:45:34.0344560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt200an
2025-08-26T19:45:34.0345420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160wy60pp
2025-08-26T19:45:34.0346350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt300wan
2025-08-26T19:45:34.0347090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vppp
2025-08-26T19:45:34.0348010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt200pp
2025-08-26T19:45:34.0348810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt300an
2025-08-26T19:45:34.0349600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-7-c-s
2025-08-26T19:45:34.0350550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-c
2025-08-26T19:45:34.0351360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-35
2025-08-26T19:45:34.0352310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-25-nti
2025-08-26T19:45:34.0353100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp-517-w
2025-08-26T19:45:34.0353980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-m
2025-08-26T19:45:34.0354880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-acs
2025-08-26T19:45:34.0356020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-25-w-vt
2025-08-26T19:45:34.0356760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr7900
2025-08-26T19:45:34.0357670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-60
2025-08-26T19:45:34.0358540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-7-m-s
2025-08-26T19:45:34.0359470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt100an
2025-08-26T19:45:34.0360170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-old
2025-08-26T19:45:34.0361220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs
2025-08-26T19:45:34.0361970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt100pp
2025-08-26T19:45:34.0363040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newscbm33
2025-08-26T19:45:34.0363730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news
2025-08-26T19:45:34.0364650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-42-euc
2025-08-26T19:45:34.0365580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-33
2025-08-26T19:45:34.0366440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/no+brackets
2025-08-26T19:45:34.0367300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-unk
2025-08-26T19:45:34.0368050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news42
2025-08-26T19:45:34.0368940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newscbm-o
2025-08-26T19:45:34.0369760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-direct
2025-08-26T19:45:34.0370660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp514-a
2025-08-26T19:45:34.0371630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-256color
2025-08-26T19:45:34.0372420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news29
2025-08-26T19:45:34.0373210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-m-ns
2025-08-26T19:45:34.0373990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp514-o
2025-08-26T19:45:34.0374770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newscbm-a
2025-08-26T19:45:34.0375600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-25-nl
2025-08-26T19:45:34.0376300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-ns
2025-08-26T19:45:34.0377170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-25-mc
2025-08-26T19:45:34.0378130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-35-nti
2025-08-26T19:45:34.0378850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nec
2025-08-26T19:45:34.0379730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy60wpp
2025-08-26T19:45:34.0380740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy50+wpp
2025-08-26T19:45:34.0381530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt200wan
2025-08-26T19:45:34.0382350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160wy50+pp
2025-08-26T19:45:34.0383200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-16color
2025-08-26T19:45:34.0383980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news28
2025-08-26T19:45:34.0384880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+mac
2025-08-26T19:45:34.0385760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-60-w
2025-08-26T19:45:34.0389510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vppp
2025-08-26T19:45:34.0389740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-7
2025-08-26T19:45:34.0389890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-w-vt
2025-08-26T19:45:34.0390110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt200wpp
2025-08-26T19:45:34.0390250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260intpp
2025-08-26T19:45:34.0390520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-s-7
2025-08-26T19:45:34.0391130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+c
2025-08-26T19:45:34.0391960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy60pp
2025-08-26T19:45:34.0392750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-42
2025-08-26T19:45:34.0393560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-50-nti
2025-08-26T19:45:34.0394330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news33
2025-08-26T19:45:34.0395400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-s
2025-08-26T19:45:34.0396000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-7-c
2025-08-26T19:45:34.0396830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260intwpp
2025-08-26T19:45:34.0397610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-s-7
2025-08-26T19:45:34.0398350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-29
2025-08-26T19:45:34.0399340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-7-m
2025-08-26T19:45:34.0400180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-a
2025-08-26T19:45:34.0400970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-vt220
2025-08-26T19:45:34.0401700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-o
2025-08-26T19:45:34.0402480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr7900i
2025-08-26T19:45:34.0403270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nextshell
2025-08-26T19:45:34.0404080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncrvt100pp
2025-08-26T19:45:34.0404900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp512
2025-08-26T19:45:34.0405690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/northstar
2025-08-26T19:45:34.0406510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm
2025-08-26T19:45:34.0407400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt300wpp
2025-08-26T19:45:34.0408260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncrvt100wpp
2025-08-26T19:45:34.0409110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt100wpp
2025-08-26T19:45:34.0409850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansi.sys
2025-08-26T19:45:34.0410760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build326
2025-08-26T19:45:34.0411380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp513-o
2025-08-26T19:45:34.0412160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp513
2025-08-26T19:45:34.0412860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp514
2025-08-26T19:45:34.0413790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole
2025-08-26T19:45:34.0414630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build343
2025-08-26T19:45:34.0415480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp513-a
2025-08-26T19:45:34.0416240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-33-euc
2025-08-26T19:45:34.0417050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/36/6053-dg
2025-08-26T19:45:34.0417920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/36/605x-dg
2025-08-26T19:45:34.0418750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/36/6053
2025-08-26T19:45:34.0419450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/36/605x
2025-08-26T19:45:34.0420290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/36/630MTG-24
2025-08-26T19:45:34.0421050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/36/630-lm
2025-08-26T19:45:34.0421800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/31/1178
2025-08-26T19:45:34.0422550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/31/1730-lm
2025-08-26T19:45:34.0423330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel62-w
2025-08-26T19:45:34.0423980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/emu-220
2025-08-26T19:45:34.0424780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/emu
2025-08-26T19:45:34.0425720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel62
2025-08-26T19:45:34.0426560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel64
2025-08-26T19:45:34.0427440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+italics
2025-08-26T19:45:34.0428110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ex155
2025-08-26T19:45:34.0428990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+sgr
2025-08-26T19:45:34.0429940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+strikeout
2025-08-26T19:45:34.0430640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel64-rv
2025-08-26T19:45:34.0431410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/elks-vt52
2025-08-26T19:45:34.0432360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ep4000
2025-08-26T19:45:34.0433100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+index
2025-08-26T19:45:34.0433940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ep48
2025-08-26T19:45:34.0434810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/elks-glasstty
2025-08-26T19:45:34.0435480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/emx-base
2025-08-26T19:45:34.0436230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+color
2025-08-26T19:45:34.0437260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ep40
2025-08-26T19:45:34.0438160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ep4080
2025-08-26T19:45:34.0438980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel62-rv
2025-08-26T19:45:34.0439720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/env230
2025-08-26T19:45:34.0440650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel64-w
2025-08-26T19:45:34.0441520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/envision230
2025-08-26T19:45:34.0442380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ergo4000
2025-08-26T19:45:34.0443260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/elks-ansi
2025-08-26T19:45:34.0444200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/esprit-am
2025-08-26T19:45:34.0444970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/emots
2025-08-26T19:45:34.0445640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/esprit
2025-08-26T19:45:34.0446460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/elks
2025-08-26T19:45:34.0447550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/eterm
2025-08-26T19:45:34.0448060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/exec80
2025-08-26T19:45:34.0448940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/eterm-color
2025-08-26T19:45:34.0449580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bct510a
2025-08-26T19:45:34.0450580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-pc-w-rv
2025-08-26T19:45:34.0451350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8
2025-08-26T19:45:34.0452280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-pc-nobold
2025-08-26T19:45:34.0453050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg2.0
2025-08-26T19:45:34.0453750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/b-128
2025-08-26T19:45:34.0454510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300
2025-08-26T19:45:34.0455340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-pc
2025-08-26T19:45:34.0456170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc
2025-08-26T19:45:34.0457020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg3.10rv
2025-08-26T19:45:34.0457720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bee
2025-08-26T19:45:34.0458620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-w-8rv
2025-08-26T19:45:34.0459310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bh4
2025-08-26T19:45:34.0460190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beehiveIIIm
2025-08-26T19:45:34.0461070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-pc-m
2025-08-26T19:45:34.0461980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-pc-rv
2025-08-26T19:45:34.0462870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bracketed+paste
2025-08-26T19:45:34.0463580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-pc
2025-08-26T19:45:34.0464370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg3.10nv
2025-08-26T19:45:34.0465130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc-w
2025-08-26T19:45:34.0465970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8rv
2025-08-26T19:45:34.0466520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-rv
2025-08-26T19:45:34.0467120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/basic4
2025-08-26T19:45:34.0467700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bct510d
2025-08-26T19:45:34.0468320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8w
2025-08-26T19:45:34.0468930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beehive
2025-08-26T19:45:34.0469540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-w
2025-08-26T19:45:34.0470170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg1.25nv
2025-08-26T19:45:34.0470780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg2.0nv
2025-08-26T19:45:34.0471400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bantam
2025-08-26T19:45:34.0472200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bobcat
2025-08-26T19:45:34.0472710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg3.10
2025-08-26T19:45:34.0473390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc-rv
2025-08-26T19:45:34.0473950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bh3m
2025-08-26T19:45:34.0474620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bitgraph
2025-08-26T19:45:34.0475290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-w-rv
2025-08-26T19:45:34.0475850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bterm
2025-08-26T19:45:34.0476540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-pc-mono
2025-08-26T19:45:34.0477140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg1.25rv
2025-08-26T19:45:34.0477940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg2.0rv
2025-08-26T19:45:34.0478690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-sparc
2025-08-26T19:45:34.0479200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beehive4
2025-08-26T19:45:34.0479810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beehive3
2025-08-26T19:45:34.0480400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beterm
2025-08-26T19:45:34.0481090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/basis
2025-08-26T19:45:34.0481630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/blit
2025-08-26T19:45:34.0482280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-ppc
2025-08-26T19:45:34.0482860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg1.25
2025-08-26T19:45:34.0483570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc-w-rv
2025-08-26T19:45:34.0484500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-pc-w
2025-08-26T19:45:34.0484920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beacon
2025-08-26T19:45:34.0485470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTGr
2025-08-26T19:45:34.0486110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTGr-24
2025-08-26T19:45:34.0486750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTG-24
2025-08-26T19:45:34.0487400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTG-41
2025-08-26T19:45:34.0488070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTG-41r
2025-08-26T19:45:34.0488840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime314
2025-08-26T19:45:34.0489410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mosh
2025-08-26T19:45:34.0490120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mskermit227
2025-08-26T19:45:34.0490750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mouse-sun
2025-08-26T19:45:34.0491290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mai
2025-08-26T19:45:34.0491960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mterm-ansi
2025-08-26T19:45:34.0492510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mt70
2025-08-26T19:45:34.0493120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mod24
2025-08-26T19:45:34.0493740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime340
2025-08-26T19:45:34.0494460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/modgraph48
2025-08-26T19:45:34.0495020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgterm
2025-08-26T19:45:34.0495940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-gnu-color
2025-08-26T19:45:34.0496290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/msk227
2025-08-26T19:45:34.0496940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-old
2025-08-26T19:45:34.0497630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mintty+common
2025-08-26T19:45:34.0498200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime-fb
2025-08-26T19:45:34.0498800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/masscomp
2025-08-26T19:45:34.0499430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/masscomp2
2025-08-26T19:45:34.0500010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mterm
2025-08-26T19:45:34.0500760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2
2025-08-26T19:45:34.0501350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mvterm
2025-08-26T19:45:34.0502090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mt-70
2025-08-26T19:45:34.0502960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-old-am
2025-08-26T19:45:34.0503950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mrxvt-256color
2025-08-26T19:45:34.0504660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm2
2025-08-26T19:45:34.0505500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/macintosh
2025-08-26T19:45:34.0506410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/macterminal-w
2025-08-26T19:45:34.0507200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt100
2025-08-26T19:45:34.0507910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-gnu
2025-08-26T19:45:34.0508640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mac-w
2025-08-26T19:45:34.0509380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microterm5
2025-08-26T19:45:34.0510110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/m2-nam
2025-08-26T19:45:34.0511020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mskermit227am
2025-08-26T19:45:34.0511810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm3
2025-08-26T19:45:34.0512570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2a-v
2025-08-26T19:45:34.0513390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2a
2025-08-26T19:45:34.0514220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-1.7
2025-08-26T19:45:34.0515100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel2-80
2025-08-26T19:45:34.0515920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/modgraph2
2025-08-26T19:45:34.0516710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1-nb
2025-08-26T19:45:34.0517520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime-hb
2025-08-26T19:45:34.0518270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/msk227am
2025-08-26T19:45:34.0519360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mimeii
2025-08-26T19:45:34.0520350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1b-80
2025-08-26T19:45:34.0521040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microbee
2025-08-26T19:45:34.0521870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mosh-256color
2025-08-26T19:45:34.0522680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm-direct
2025-08-26T19:45:34.0523800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt100-16color
2025-08-26T19:45:34.0524630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgr-linux
2025-08-26T19:45:34.0525400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mskermit22714
2025-08-26T19:45:34.0526240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mintty-direct
2025-08-26T19:45:34.0526950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mostlike
2025-08-26T19:45:34.0527870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgr-sun
2025-08-26T19:45:34.0528550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mac
2025-08-26T19:45:34.0529350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1
2025-08-26T19:45:34.0530170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgt
2025-08-26T19:45:34.0531070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime-3ax
2025-08-26T19:45:34.0531980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm-256color
2025-08-26T19:45:34.0532780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel12-80
2025-08-26T19:45:34.0533620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/modgraph
2025-08-26T19:45:34.0534400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgr
2025-08-26T19:45:34.0535210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microterm
2025-08-26T19:45:34.0536060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm+pcfkeys
2025-08-26T19:45:34.0536840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/masscomp1
2025-08-26T19:45:34.0537640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-color
2025-08-26T19:45:34.0538440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime1
2025-08-26T19:45:34.0539210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mm314
2025-08-26T19:45:34.0540050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime3a
2025-08-26T19:45:34.0540820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mm340
2025-08-26T19:45:34.0541580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mt4520-rv
2025-08-26T19:45:34.0542330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/megatek
2025-08-26T19:45:34.0543160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel-2-nam
2025-08-26T19:45:34.0544110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1b-nb
2025-08-26T19:45:34.0544910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel-2
2025-08-26T19:45:34.0545670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mono-emx
2025-08-26T19:45:34.0546430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime
2025-08-26T19:45:34.0547180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/msk22714
2025-08-26T19:45:34.0547940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mdl110
2025-08-26T19:45:34.0548700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mimei
2025-08-26T19:45:34.0549450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach
2025-08-26T19:45:34.0550260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2a-s
2025-08-26T19:45:34.0551420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-1.5
2025-08-26T19:45:34.0552720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microb
2025-08-26T19:45:34.0553040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/memhp
2025-08-26T19:45:34.0553360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mintty
2025-08-26T19:45:34.0554050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm
2025-08-26T19:45:34.0554770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt100-color
2025-08-26T19:45:34.0555320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-3.0
2025-08-26T19:45:34.0556510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime3ax
2025-08-26T19:45:34.0556980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt100+
2025-08-26T19:45:34.0557780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/morphos
2025-08-26T19:45:34.0558750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel
2025-08-26T19:45:34.0559700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix
2025-08-26T19:45:34.0560540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mod
2025-08-26T19:45:34.0561280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-bold
2025-08-26T19:45:34.0562140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1b
2025-08-26T19:45:34.0562970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-terminal
2025-08-26T19:45:34.0563630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mrxvt
2025-08-26T19:45:34.0564500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt-utf8
2025-08-26T19:45:34.0565240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lisaterm-w
2025-08-26T19:45:34.0566290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux3.0
2025-08-26T19:45:34.0567320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux+sfkeys
2025-08-26T19:45:34.0568220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-m2
2025-08-26T19:45:34.0569060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/luna
2025-08-26T19:45:34.0570020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-lat
2025-08-26T19:45:34.0571040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/luna68k
2025-08-26T19:45:34.0571820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-koi8r
2025-08-26T19:45:34.0572730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/la120
2025-08-26T19:45:34.0573590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lft-pc850
2025-08-26T19:45:34.0574430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux2.2
2025-08-26T19:45:34.0575270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-s
2025-08-26T19:45:34.0576240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux+decid
2025-08-26T19:45:34.0576990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lisaterm
2025-08-26T19:45:34.0577930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-16color
2025-08-26T19:45:34.0578720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/ln03
2025-08-26T19:45:34.0579700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/ln03-w
2025-08-26T19:45:34.0580420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-vt
2025-08-26T19:45:34.0581180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/layer
2025-08-26T19:45:34.0582040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux+kbs
2025-08-26T19:45:34.0582930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-basic
2025-08-26T19:45:34.0583800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lisa
2025-08-26T19:45:34.0584590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux
2025-08-26T19:45:34.0585430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-m1
2025-08-26T19:45:34.0586280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-c-nc
2025-08-26T19:45:34.0587030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/liswb
2025-08-26T19:45:34.0587870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lft
2025-08-26T19:45:34.0588740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-m1b
2025-08-26T19:45:34.0589600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux2.6
2025-08-26T19:45:34.0590440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux2.6.26
2025-08-26T19:45:34.0591270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-c
2025-08-26T19:45:34.0592200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-m
2025-08-26T19:45:34.0593140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-nic
2025-08-26T19:45:34.0594050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-koi8
2025-08-26T19:45:34.0595220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lpr
2025-08-26T19:45:34.0595560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/39/955-w
2025-08-26T19:45:34.0596390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/39/9term
2025-08-26T19:45:34.0597470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/39/955-hb
2025-08-26T19:45:34.0598380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-4p
2025-08-26T19:45:34.0599460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/coco3
2025-08-26T19:45:34.0600580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-6lpi
2025-08-26T19:45:34.0601220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cx100
2025-08-26T19:45:34.0602120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c321
2025-08-26T19:45:34.0603550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit80
2025-08-26T19:45:34.0604120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50
2025-08-26T19:45:34.0605000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cops-10
2025-08-26T19:45:34.0605960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept-avt
2025-08-26T19:45:34.0606600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50r
2025-08-26T19:45:34.0607580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept100-rv
2025-08-26T19:45:34.0608590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60
2025-08-26T19:45:34.0609250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cci1
2025-08-26T19:45:34.0610250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/coherent
2025-08-26T19:45:34.0611040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cad68-2
2025-08-26T19:45:34.0611880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cyb83
2025-08-26T19:45:34.0612780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-koi8r
2025-08-26T19:45:34.0613530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cbunix
2025-08-26T19:45:34.0614620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-rv
2025-08-26T19:45:34.0615630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-8p
2025-08-26T19:45:34.0616480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cs10-w
2025-08-26T19:45:34.0617410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60l1
2025-08-26T19:45:34.0618230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cad68-3
2025-08-26T19:45:34.0618930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citc
2025-08-26T19:45:34.0620160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-rv-8p
2025-08-26T19:45:34.0621050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-w8p
2025-08-26T19:45:34.0621890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-ps
2025-08-26T19:45:34.0622920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-4p
2025-08-26T19:45:34.0623650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-n132
2025-08-26T19:45:34.0624590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel320
2025-08-26T19:45:34.0625640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-koi8r-m
2025-08-26T19:45:34.0626370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ct82
2025-08-26T19:45:34.0627350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ct8500
2025-08-26T19:45:34.0628020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cops
2025-08-26T19:45:34.0629050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept100
2025-08-26T19:45:34.0630100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel321
2025-08-26T19:45:34.0631030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-8lpi
2025-08-26T19:45:34.0632100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-m
2025-08-26T19:45:34.0633050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25w
2025-08-26T19:45:34.0633770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cbblit
2025-08-26T19:45:34.0634550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108
2025-08-26T19:45:34.0635350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60r
2025-08-26T19:45:34.0636300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ctrm
2025-08-26T19:45:34.0637030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contour
2025-08-26T19:45:34.0638080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-rv
2025-08-26T19:45:34.0639100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-rv-4p
2025-08-26T19:45:34.0639950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ci8510
2025-08-26T19:45:34.0640830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-koi8r-m
2025-08-26T19:45:34.0641960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-iso-m
2025-08-26T19:45:34.0643070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/commodore
2025-08-26T19:45:34.0643810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108
2025-08-26T19:45:34.0644850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons43
2025-08-26T19:45:34.0645750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-iso8859
2025-08-26T19:45:34.0646530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101
2025-08-26T19:45:34.0647400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons30-m
2025-08-26T19:45:34.0648310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60l1-m
2025-08-26T19:45:34.0648950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100
2025-08-26T19:45:34.0649780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc752
2025-08-26T19:45:34.0650660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit500
2025-08-26T19:45:34.0651500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cgc2
2025-08-26T19:45:34.0652270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cg7900
2025-08-26T19:45:34.0653080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cygwinDBG
2025-08-26T19:45:34.0653900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/chromatics
2025-08-26T19:45:34.0654740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50l1-m
2025-08-26T19:45:34.0655830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/colorscan
2025-08-26T19:45:34.0656700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ca22851
2025-08-26T19:45:34.0657700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-koi8r
2025-08-26T19:45:34.0658310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc721
2025-08-26T19:45:34.0659290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-n
2025-08-26T19:45:34.0660240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cgc3
2025-08-26T19:45:34.0661240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-w
2025-08-26T19:45:34.0662070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-8p
2025-08-26T19:45:34.0662780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cs10
2025-08-26T19:45:34.0663700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-m
2025-08-26T19:45:34.0664690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons30
2025-08-26T19:45:34.0665520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept
2025-08-26T19:45:34.0666310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh
2025-08-26T19:45:34.0667290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-pica
2025-08-26T19:45:34.0668190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-iso
2025-08-26T19:45:34.0669060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel300
2025-08-26T19:45:34.0669850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-rv-4p
2025-08-26T19:45:34.0670480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-4p
2025-08-26T19:45:34.0671150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-elite
2025-08-26T19:45:34.0671830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contour-direct
2025-08-26T19:45:34.0672540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cops10
2025-08-26T19:45:34.0673080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e
2025-08-26T19:45:34.0673700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel301
2025-08-26T19:45:34.0674350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-comp
2025-08-26T19:45:34.0674990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-m
2025-08-26T19:45:34.0675610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-1p
2025-08-26T19:45:34.0676220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-rv
2025-08-26T19:45:34.0676850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc456
2025-08-26T19:45:34.0677470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit-80
2025-08-26T19:45:34.0678180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-iso-m
2025-08-26T19:45:34.0678840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-iso-m
2025-08-26T19:45:34.0683310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cx
2025-08-26T19:45:34.0683630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25r
2025-08-26T19:45:34.0683970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-debian
2025-08-26T19:45:34.0684290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/crt
2025-08-26T19:45:34.0684590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-w-8p
2025-08-26T19:45:34.0684910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons43-m
2025-08-26T19:45:34.0685220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/crt-vt220
2025-08-26T19:45:34.0685550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc721-esc
2025-08-26T19:45:34.0685890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cygwinB19
2025-08-26T19:45:34.0686210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25l1-m
2025-08-26T19:45:34.0686540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/color_xterm
2025-08-26T19:45:34.0686870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50l1
2025-08-26T19:45:34.0687560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-prop
2025-08-26T19:45:34.0688710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-koi8r-m
2025-08-26T19:45:34.0689580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-koi8-r
2025-08-26T19:45:34.0690830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c301
2025-08-26T19:45:34.0691680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cyb110
2025-08-26T19:45:34.0692800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-iso8859
2025-08-26T19:45:34.0693550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-w-8
2025-08-26T19:45:34.0694390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60r-m
2025-08-26T19:45:34.0695280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c300
2025-08-26T19:45:34.0696400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25
2025-08-26T19:45:34.0697200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cygwin
2025-08-26T19:45:34.0698100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contour-latest
2025-08-26T19:45:34.0698950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc721ll
2025-08-26T19:45:34.0699960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25r-m
2025-08-26T19:45:34.0700750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c104
2025-08-26T19:45:34.0701600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc756
2025-08-26T19:45:34.0702410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-132
2025-08-26T19:45:34.0703270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50r-m
2025-08-26T19:45:34.0704150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cci
2025-08-26T19:45:34.0705710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108rv4p
2025-08-26T19:45:34.0706440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25l1
2025-08-26T19:45:34.0707360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/digilog
2025-08-26T19:45:34.0708220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd-34
2025-08-26T19:45:34.0709120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmdt80
2025-08-26T19:45:34.0709980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410-7b-w
2025-08-26T19:45:34.0710890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555-7b-w
2025-08-26T19:45:34.0711750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d132
2025-08-26T19:45:34.0712660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d230c
2025-08-26T19:45:34.0713560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7102-sna
2025-08-26T19:45:34.0714320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/delta
2025-08-26T19:45:34.0715050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d217-dg
2025-08-26T19:45:34.0716020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7103-sna
2025-08-26T19:45:34.0716920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix
2025-08-26T19:45:34.0717810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7003-dumb
2025-08-26T19:45:34.0719020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d577-7b
2025-08-26T19:45:34.0719570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmchat
2025-08-26T19:45:34.0720610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x48-m
2025-08-26T19:45:34.0721680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt220
2025-08-26T19:45:34.0722410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-w-ccc
2025-08-26T19:45:34.0723220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm3025
2025-08-26T19:45:34.0723940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+s
2025-08-26T19:45:34.0724740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw1
2025-08-26T19:45:34.0725640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216-unix-25
2025-08-26T19:45:34.0726450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+25
2025-08-26T19:45:34.0727280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix-w
2025-08-26T19:45:34.0728390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-144x48-m
2025-08-26T19:45:34.0728960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt330
2025-08-26T19:45:34.0729870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d578-dg
2025-08-26T19:45:34.0730680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/datapoint
2025-08-26T19:45:34.0731720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d211
2025-08-26T19:45:34.0732540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462e-dg
2025-08-26T19:45:34.0733330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+
2025-08-26T19:45:34.0734240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-25
2025-08-26T19:45:34.0735260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt80
2025-08-26T19:45:34.0736370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-s-ccc
2025-08-26T19:45:34.0737270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d220
2025-08-26T19:45:34.0738370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix-w
2025-08-26T19:45:34.0739200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dialogue80
2025-08-26T19:45:34.0740160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-25
2025-08-26T19:45:34.0740870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dumb
2025-08-26T19:45:34.0741920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-sr-ccc
2025-08-26T19:45:34.0743170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg-generic
2025-08-26T19:45:34.0744080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d217-unix-25
2025-08-26T19:45:34.0744890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7003
2025-08-26T19:45:34.0746390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-25
2025-08-26T19:45:34.0747260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-112x37-m
2025-08-26T19:45:34.0748040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+25
2025-08-26T19:45:34.0749100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1720
2025-08-26T19:45:34.0749950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470
2025-08-26T19:45:34.0750960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-s
2025-08-26T19:45:34.0751780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix-s
2025-08-26T19:45:34.0752710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decpro
2025-08-26T19:45:34.0753420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d210
2025-08-26T19:45:34.0754430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/datagraphix
2025-08-26T19:45:34.0755220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216-dg
2025-08-26T19:45:34.0756290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix-sr
2025-08-26T19:45:34.0757360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-80x25-m
2025-08-26T19:45:34.0758490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-7b-w
2025-08-26T19:45:34.0759060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-ccc
2025-08-26T19:45:34.0759870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-sr
2025-08-26T19:45:34.0760910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt340
2025-08-26T19:45:34.0761830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmdt80w
2025-08-26T19:45:34.0762850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dumb-emacs-ansi
2025-08-26T19:45:34.0763750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm80w
2025-08-26T19:45:34.0764620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d577-dg
2025-08-26T19:45:34.0765540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgkeys+11
2025-08-26T19:45:34.0766600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/datamedia2500
2025-08-26T19:45:34.0767470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dtc382
2025-08-26T19:45:34.0768350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461-w
2025-08-26T19:45:34.0769330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7102-old
2025-08-26T19:45:34.0770220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-m
2025-08-26T19:45:34.0771060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216-unix
2025-08-26T19:45:34.0771850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-dg
2025-08-26T19:45:34.0772880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461-7b-w
2025-08-26T19:45:34.0773870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-s
2025-08-26T19:45:34.0774750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-sr
2025-08-26T19:45:34.0775600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+color8
2025-08-26T19:45:34.0776360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/djgpp
2025-08-26T19:45:34.0777220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-112x37
2025-08-26T19:45:34.0778190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216e-dg
2025-08-26T19:45:34.0779180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix-25
2025-08-26T19:45:34.0780030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ddr3180
2025-08-26T19:45:34.0781170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgkeys+7b
2025-08-26T19:45:34.0782020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-dg
2025-08-26T19:45:34.0782810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-dg-ccc
2025-08-26T19:45:34.0783790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-sr-ccc
2025-08-26T19:45:34.0784440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d400
2025-08-26T19:45:34.0785250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-dg
2025-08-26T19:45:34.0786200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+sr
2025-08-26T19:45:34.0787070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-b
2025-08-26T19:45:34.0788150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-sr
2025-08-26T19:45:34.0789110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgmode+color8
2025-08-26T19:45:34.0789840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix
2025-08-26T19:45:34.0790700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt110
2025-08-26T19:45:34.0791620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-ccc
2025-08-26T19:45:34.0792810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg-ansi
2025-08-26T19:45:34.0793570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+fixed
2025-08-26T19:45:34.0794340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd
2025-08-26T19:45:34.0795270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt-100w
2025-08-26T19:45:34.0796180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1640
2025-08-26T19:45:34.0797460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x40
2025-08-26T19:45:34.0798300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-dg
2025-08-26T19:45:34.0799170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dataspeed40
2025-08-26T19:45:34.0799970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+w
2025-08-26T19:45:34.0801220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dd5000
2025-08-26T19:45:34.0801890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt400
2025-08-26T19:45:34.0802740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dp3360
2025-08-26T19:45:34.0803830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg6053-old
2025-08-26T19:45:34.0804800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg210
2025-08-26T19:45:34.0805810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x64-m
2025-08-26T19:45:34.0806720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-s
2025-08-26T19:45:34.0807660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x48
2025-08-26T19:45:34.0808700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x64
2025-08-26T19:45:34.0809420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmterm
2025-08-26T19:45:34.0810560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+
2025-08-26T19:45:34.0811700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo-lm
2025-08-26T19:45:34.0812460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decansi
2025-08-26T19:45:34.0813330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-7b-w
2025-08-26T19:45:34.0814320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-w
2025-08-26T19:45:34.0815160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216+25
2025-08-26T19:45:34.0816250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-m-b
2025-08-26T19:45:34.0816990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d217-unix
2025-08-26T19:45:34.0817700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d578-7b
2025-08-26T19:45:34.0818820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+sr
2025-08-26T19:45:34.0819850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ds40-2
2025-08-26T19:45:34.0820950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg211
2025-08-26T19:45:34.0821530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt80w
2025-08-26T19:45:34.0822330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-dg
2025-08-26T19:45:34.0823170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix-w
2025-08-26T19:45:34.0824160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410-w
2025-08-26T19:45:34.0824860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d230c-dg
2025-08-26T19:45:34.0825800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d80
2025-08-26T19:45:34.0826760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw3
2025-08-26T19:45:34.0828000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-90x30
2025-08-26T19:45:34.0828880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt-100
2025-08-26T19:45:34.0829620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+ccc
2025-08-26T19:45:34.0830540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw4
2025-08-26T19:45:34.0831290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dwk-vt
2025-08-26T19:45:34.0832090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-dg
2025-08-26T19:45:34.0833100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-90x30-m
2025-08-26T19:45:34.0834250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgunix+fixed
2025-08-26T19:45:34.0834860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dialogue
2025-08-26T19:45:34.0835970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555-dg
2025-08-26T19:45:34.0836750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg450
2025-08-26T19:45:34.0837640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555
2025-08-26T19:45:34.0838430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470-dg
2025-08-26T19:45:34.0839220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm3045
2025-08-26T19:45:34.0840120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm1520
2025-08-26T19:45:34.0840920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decwriter
2025-08-26T19:45:34.0841900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-100x37
2025-08-26T19:45:34.0842800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-80x30
2025-08-26T19:45:34.0843520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-w
2025-08-26T19:45:34.0844390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm2500
2025-08-26T19:45:34.0845520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix
2025-08-26T19:45:34.0846440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d215-7b
2025-08-26T19:45:34.0847250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216+
2025-08-26T19:45:34.0848060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470c-7b
2025-08-26T19:45:34.0848950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1620-m8
2025-08-26T19:45:34.0849680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt80-sas
2025-08-26T19:45:34.0850630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+w
2025-08-26T19:45:34.0851400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d450-dg
2025-08-26T19:45:34.0852320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix-sr
2025-08-26T19:45:34.0853310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x75
2025-08-26T19:45:34.0854140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-256x96
2025-08-26T19:45:34.0855030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw2
2025-08-26T19:45:34.0855780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg605x
2025-08-26T19:45:34.0856710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x75-m
2025-08-26T19:45:34.0857620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgmode+color
2025-08-26T19:45:34.0858390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d2-dg
2025-08-26T19:45:34.0859380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-dg
2025-08-26T19:45:34.0860060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd1
2025-08-26T19:45:34.0861080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm1521
2025-08-26T19:45:34.0861940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-25-ccc
2025-08-26T19:45:34.0862780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dwk
2025-08-26T19:45:34.0863660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg6053
2025-08-26T19:45:34.0864600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x40-m
2025-08-26T19:45:34.0865310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo
2025-08-26T19:45:34.0866180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d211-7b
2025-08-26T19:45:34.0867110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg200
2025-08-26T19:45:34.0867970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+color
2025-08-26T19:45:34.0869080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix-25
2025-08-26T19:45:34.0869980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dtterm
2025-08-26T19:45:34.0871110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-160x64
2025-08-26T19:45:34.0871820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dvtm-256color
2025-08-26T19:45:34.0872540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dp8242
2025-08-26T19:45:34.0873370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d400-dg
2025-08-26T19:45:34.0874270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410
2025-08-26T19:45:34.0875090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-sr
2025-08-26T19:45:34.0876390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1740
2025-08-26T19:45:34.0877450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-100x37-m
2025-08-26T19:45:34.0878360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix-s
2025-08-26T19:45:34.0879280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410-dg
2025-08-26T19:45:34.0880370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216+dg
2025-08-26T19:45:34.0881320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d215
2025-08-26T19:45:34.0882390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix-25
2025-08-26T19:45:34.0883250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt100
2025-08-26T19:45:34.0884290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix
2025-08-26T19:45:34.0885150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec+pp
2025-08-26T19:45:34.0886140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix-s
2025-08-26T19:45:34.0886980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411
2025-08-26T19:45:34.0888070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix
2025-08-26T19:45:34.0889010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1640-m8
2025-08-26T19:45:34.0889760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d2
2025-08-26T19:45:34.0890330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216e+
2025-08-26T19:45:34.0890890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw
2025-08-26T19:45:34.0891500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461-dg
2025-08-26T19:45:34.0892110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dvtm
2025-08-26T19:45:34.0892720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-dg
2025-08-26T19:45:34.0893340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec+sl
2025-08-26T19:45:34.0893980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7202
2025-08-26T19:45:34.0894720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-256x96-m
2025-08-26T19:45:34.0895300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555-w
2025-08-26T19:45:34.0895920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-w
2025-08-26T19:45:34.0896630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-w
2025-08-26T19:45:34.0897310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix-w
2025-08-26T19:45:34.0898250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgunix+ccc
2025-08-26T19:45:34.0899150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d220-7b
2025-08-26T19:45:34.0899940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt100
2025-08-26T19:45:34.0900740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d214
2025-08-26T19:45:34.0901720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo630
2025-08-26T19:45:34.0902590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix
2025-08-26T19:45:34.0903340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d800
2025-08-26T19:45:34.0904480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt100w
2025-08-26T19:45:34.0904920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216e+dg
2025-08-26T19:45:34.0905900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460
2025-08-26T19:45:34.0906960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1730
2025-08-26T19:45:34.0907650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d200
2025-08-26T19:45:34.0908340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ddr
2025-08-26T19:45:34.0909510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix-sr
2025-08-26T19:45:34.0910350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-w
2025-08-26T19:45:34.0911180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-f2
2025-08-26T19:45:34.0911970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin
2025-08-26T19:45:34.0912920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470c-dg
2025-08-26T19:45:34.0913980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+dg
2025-08-26T19:45:34.0914850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/djgpp203
2025-08-26T19:45:34.0915520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/djgpp204
2025-08-26T19:45:34.0916330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d211-dg
2025-08-26T19:45:34.0917200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg6134
2025-08-26T19:45:34.0918240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-7b
2025-08-26T19:45:34.0919250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm80
2025-08-26T19:45:34.0920160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-25
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2025-08-26T19:45:34.0921990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgkeys+15
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2025-08-26T19:45:34.0923650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d450
2025-08-26T19:45:34.0924470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-f
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2025-08-26T19:45:34.0926420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-7b
2025-08-26T19:45:34.0927200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg100
2025-08-26T19:45:34.0928010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461
2025-08-26T19:45:34.0932490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1640-lm
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2025-08-26T19:45:34.0933170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-144x48
2025-08-26T19:45:34.0933530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d215-dg
2025-08-26T19:45:34.0933850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgkeys+8b
2025-08-26T19:45:34.0934180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo450
2025-08-26T19:45:34.0934490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470-7b
2025-08-26T19:45:34.0934860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/domterm
2025-08-26T19:45:34.0935170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470c
2025-08-26T19:45:34.0935670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix
2025-08-26T19:45:34.0936290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555-7b
2025-08-26T19:45:34.0936960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216e-unix
2025-08-26T19:45:34.0937620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-80x25
2025-08-26T19:45:34.0938270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461-7b
2025-08-26T19:45:34.0939010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-25-ccc
2025-08-26T19:45:34.0939760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-dg-ccc
2025-08-26T19:45:34.0940290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d577-w
2025-08-26T19:45:34.0941060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-160x64-m
2025-08-26T19:45:34.0941630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d578
2025-08-26T19:45:34.0942280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d230-dg
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2025-08-26T19:45:34.0943580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg460-ansi
2025-08-26T19:45:34.0944270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-w
2025-08-26T19:45:34.0944860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ds40
2025-08-26T19:45:34.0945510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+dg
2025-08-26T19:45:34.0946150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d214-dg
2025-08-26T19:45:34.0946770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d220-dg
2025-08-26T19:45:34.0947500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1740-lm
2025-08-26T19:45:34.0948090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+s
2025-08-26T19:45:34.0948740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decid+cpr
2025-08-26T19:45:34.0949360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd-24
2025-08-26T19:45:34.0950100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-m-f2
2025-08-26T19:45:34.0950830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-s-ccc
2025-08-26T19:45:34.0951470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix-s
2025-08-26T19:45:34.0952140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1620
2025-08-26T19:45:34.0952760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d200-dg
2025-08-26T19:45:34.0953380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d577
2025-08-26T19:45:34.0954080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix-sr
2025-08-26T19:45:34.0954720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d210-dg
2025-08-26T19:45:34.0955430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-s
2025-08-26T19:45:34.0956060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-m-f
2025-08-26T19:45:34.0956750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix-25
2025-08-26T19:45:34.0957390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410-7b
2025-08-26T19:45:34.0958050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix
2025-08-26T19:45:34.0958710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7102
2025-08-26T19:45:34.0959430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/41/Apple_Terminal
2025-08-26T19:45:34.0960070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-42
2025-08-26T19:45:34.0960740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-epc-w
2025-08-26T19:45:34.0961550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-48wpc
2025-08-26T19:45:34.0962090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt-25
2025-08-26T19:45:34.0962740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy75-mc
2025-08-26T19:45:34.0963330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-w
2025-08-26T19:45:34.0964020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-25-w
2025-08-26T19:45:34.0964680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-w-vb
2025-08-26T19:45:34.0965350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-42wvb
2025-08-26T19:45:34.0965960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-w
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2025-08-26T19:45:34.0967320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-42-w
2025-08-26T19:45:34.0967940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-wvb
2025-08-26T19:45:34.0968570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy50-vb
2025-08-26T19:45:34.0969260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse150-25
2025-08-26T19:45:34.0969940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-w
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2025-08-26T19:45:34.0971200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy120-25
2025-08-26T19:45:34.0971860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99gt-wvb
2025-08-26T19:45:34.0972490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-43
2025-08-26T19:45:34.0973150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75ap
2025-08-26T19:45:34.0973830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-w-vb
2025-08-26T19:45:34.0974420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy75
2025-08-26T19:45:34.0975080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy30-mc
2025-08-26T19:45:34.0975700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-vb
2025-08-26T19:45:34.0976430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-36pc
2025-08-26T19:45:34.0977050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-36w
2025-08-26T19:45:34.0977730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-316X
2025-08-26T19:45:34.0978390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-epc-vb
2025-08-26T19:45:34.0979050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-25
2025-08-26T19:45:34.0979700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-25
2025-08-26T19:45:34.0980300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-w
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2025-08-26T19:45:34.0981550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse370
2025-08-26T19:45:34.0982150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy100
2025-08-26T19:45:34.0982800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse85-vb
2025-08-26T19:45:34.0983500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse350-w
2025-08-26T19:45:34.0984080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy30-vb
2025-08-26T19:45:34.0984740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-25
2025-08-26T19:45:34.0985380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-w
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2025-08-26T19:45:34.0986590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120
2025-08-26T19:45:34.0987200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse50
2025-08-26T19:45:34.0987860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325w-24
2025-08-26T19:45:34.0988530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-42w
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2025-08-26T19:45:34.0989800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520
2025-08-26T19:45:34.0990510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75-wvb
2025-08-26T19:45:34.0991080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy75-vb
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2025-08-26T19:45:34.0993690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy120-w
2025-08-26T19:45:34.0994330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse150-w
2025-08-26T19:45:34.0994970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy50-mc
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2025-08-26T19:45:34.0996240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325
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2025-08-26T19:45:34.0997580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-epc
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2025-08-26T19:45:34.1000730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wsvt25
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2025-08-26T19:45:34.1003370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-43
2025-08-26T19:45:34.1003990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wrenw
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2025-08-26T19:45:34.1005300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75
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2025-08-26T19:45:34.1008500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-vb
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2025-08-26T19:45:34.1009730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wezterm
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2025-08-26T19:45:34.1011090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt-w
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2025-08-26T19:45:34.1012980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-vb
2025-08-26T19:45:34.1013610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wsvt25m
2025-08-26T19:45:34.1014270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-36w
2025-08-26T19:45:34.1014930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-43w-vb
2025-08-26T19:45:34.1015560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy-99fgt
2025-08-26T19:45:34.1016260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-epc-wvb
2025-08-26T19:45:34.1016890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-vb
2025-08-26T19:45:34.1017490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy50
2025-08-26T19:45:34.1018140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-25
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2025-08-26T19:45:34.1019390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-PC
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2025-08-26T19:45:34.1026020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wren
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2025-08-26T19:45:34.1027370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-epc-24
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2025-08-26T19:45:34.1028600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy100q
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2025-08-26T19:45:34.1029930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse-75ap
2025-08-26T19:45:34.1030560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60
2025-08-26T19:45:34.1031210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-epc
2025-08-26T19:45:34.1031870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt-vb
2025-08-26T19:45:34.1032490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-43
2025-08-26T19:45:34.1033170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-36pc
2025-08-26T19:45:34.1033850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-36wpc
2025-08-26T19:45:34.1034490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wsiris
2025-08-26T19:45:34.1035170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy120-w-vb
2025-08-26T19:45:34.1035860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-wvb
2025-08-26T19:45:34.1036490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-vb
2025-08-26T19:45:34.1037110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy-75ap
2025-08-26T19:45:34.1037740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse50-w
2025-08-26T19:45:34.1038410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-42
2025-08-26T19:45:34.1039030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy350-vb
2025-08-26T19:45:34.1039700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75-w
2025-08-26T19:45:34.1040280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99gt
2025-08-26T19:45:34.1040860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85
2025-08-26T19:45:34.1041500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-48
2025-08-26T19:45:34.1042180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse85-8bit
2025-08-26T19:45:34.1042850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse150-w-vb
2025-08-26T19:45:34.1043510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-48pc
2025-08-26T19:45:34.1044160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99gt-tek
2025-08-26T19:45:34.1044810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-42-w
2025-08-26T19:45:34.1045460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99-ansi
2025-08-26T19:45:34.1046140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-wvb
2025-08-26T19:45:34.1046820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-vb
2025-08-26T19:45:34.1047450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-25
2025-08-26T19:45:34.1048080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse-325
2025-08-26T19:45:34.1048730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy185-wvb
2025-08-26T19:45:34.1049370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-43w
2025-08-26T19:45:34.1049990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-PC
2025-08-26T19:45:34.1050630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy185-vb
2025-08-26T19:45:34.1051300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy350-wvb
2025-08-26T19:45:34.1051950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-105k
2025-08-26T19:45:34.1052570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-24
2025-08-26T19:45:34.1053230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-43
2025-08-26T19:45:34.1053880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-25w
2025-08-26T19:45:34.1054570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-25-w
2025-08-26T19:45:34.1055130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy150
2025-08-26T19:45:34.1055850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-pc-24
2025-08-26T19:45:34.1056510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-25-w
2025-08-26T19:45:34.1057150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-48
2025-08-26T19:45:34.1057800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-nk
2025-08-26T19:45:34.1058400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy185-w
2025-08-26T19:45:34.1059060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-24
2025-08-26T19:45:34.1059680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-43
2025-08-26T19:45:34.1060280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99f
2025-08-26T19:45:34.1060920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99fgt
2025-08-26T19:45:34.1061580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse185-vb
2025-08-26T19:45:34.1062190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85-w
2025-08-26T19:45:34.1062870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-43-w
2025-08-26T19:45:34.1063560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-wvb
2025-08-26T19:45:34.1064160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160
2025-08-26T19:45:34.1064850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-vb
2025-08-26T19:45:34.1065560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-36wpc
2025-08-26T19:45:34.1066190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy150-25-w
2025-08-26T19:45:34.1066870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99a-ansi
2025-08-26T19:45:34.1067500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse30
2025-08-26T19:45:34.1068130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-w-vb
2025-08-26T19:45:34.1068800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse350-vb
2025-08-26T19:45:34.1069400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse185
2025-08-26T19:45:34.1070050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-42
2025-08-26T19:45:34.1070660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy50-w
2025-08-26T19:45:34.1071320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-vb
2025-08-26T19:45:34.1072050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-p-wvb
2025-08-26T19:45:34.1072690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse185-24
2025-08-26T19:45:34.1073370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy120-25-w
2025-08-26T19:45:34.1074030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-wvb
2025-08-26T19:45:34.1074690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-36
2025-08-26T19:45:34.1075320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75-vb
2025-08-26T19:45:34.1075950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse350
2025-08-26T19:45:34.1076590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy120
2025-08-26T19:45:34.1077190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy75-w
2025-08-26T19:45:34.1077910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-pc-vb
2025-08-26T19:45:34.1078590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-48wpc
2025-08-26T19:45:34.1079230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-w
2025-08-26T19:45:34.1079880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-epc-w
2025-08-26T19:45:34.1080490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy150-w
2025-08-26T19:45:34.1081150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse50-mc
2025-08-26T19:45:34.1081780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt
2025-08-26T19:45:34.1082450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse50-wvb
2025-08-26T19:45:34.1083110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-25
2025-08-26T19:45:34.1083690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370
2025-08-26T19:45:34.1084390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-43-w
2025-08-26T19:45:34.1085020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-tek
2025-08-26T19:45:34.1085650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-AT
2025-08-26T19:45:34.1086310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-wvb
2025-08-26T19:45:34.1086960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse85-wvb
2025-08-26T19:45:34.1087640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse150-25-w
2025-08-26T19:45:34.1088240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85-vb
2025-08-26T19:45:34.1088900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy350-w
2025-08-26T19:45:34.1089540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-42-w
2025-08-26T19:45:34.1090200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85-8bit
2025-08-26T19:45:34.1090780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325
2025-08-26T19:45:34.1091410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse85
2025-08-26T19:45:34.1092090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-25w
2025-08-26T19:45:34.1092730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-w
2025-08-26T19:45:34.1093320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520
2025-08-26T19:45:34.1093990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse30-vb
2025-08-26T19:45:34.1094700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse350-wvb
2025-08-26T19:45:34.1095420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse185-wvb
2025-08-26T19:45:34.1096010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-43w
2025-08-26T19:45:34.1096610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-43
2025-08-26T19:45:34.1097260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85-wvb
2025-08-26T19:45:34.1097900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy120-wvb
2025-08-26T19:45:34.1098540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse30-mc
2025-08-26T19:45:34.1099170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse85-w
2025-08-26T19:45:34.1099820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-vb
2025-08-26T19:45:34.1100500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-101k
2025-08-26T19:45:34.1101080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse+sl
2025-08-26T19:45:34.1101710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99fgta
2025-08-26T19:45:34.1102370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse-vp
2025-08-26T19:45:34.1102930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy30
2025-08-26T19:45:34.1103620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-48pc
2025-08-26T19:45:34.1104250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-36
2025-08-26T19:45:34.1104890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy150-w-vb
2025-08-26T19:45:34.1105520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy185-24
2025-08-26T19:45:34.1106150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-42
2025-08-26T19:45:34.1106840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-tek
2025-08-26T19:45:34.1107470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-w
2025-08-26T19:45:34.1108110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75-mc
2025-08-26T19:45:34.1108740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-vb
2025-08-26T19:45:34.1109380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-25
2025-08-26T19:45:34.1110020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy50-wvb
2025-08-26T19:45:34.1110650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-rv
2025-08-26T19:45:34.1111300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse50-vb
2025-08-26T19:45:34.1111940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy-99fgta
2025-08-26T19:45:34.1112640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt-25-w
2025-08-26T19:45:34.1113240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-w
2025-08-26T19:45:34.1113880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-EPC
2025-08-26T19:45:34.1114540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-25-w
2025-08-26T19:45:34.1115150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt25
2025-08-26T19:45:34.1115750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon0
2025-08-26T19:45:34.1116360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt210
2025-08-26T19:45:34.1117000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3-bold
2025-08-26T19:45:34.1117560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p4
2025-08-26T19:45:34.1118220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14-m
2025-08-26T19:45:34.1118850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism9-w
2025-08-26T19:45:34.1119520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-43-m
2025-08-26T19:45:34.1120190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+keypad
2025-08-26T19:45:34.1120790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt40
2025-08-26T19:45:34.1121400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14-w
2025-08-26T19:45:34.1122000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14-m
2025-08-26T19:45:34.1122620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt200w
2025-08-26T19:45:34.1123290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14-w
2025-08-26T19:45:34.1123880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccons
2025-08-26T19:45:34.1124530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism9-8-w
2025-08-26T19:45:34.1125160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pmconsole
2025-08-26T19:45:34.1125780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvtXX
2025-08-26T19:45:34.1126340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p5
2025-08-26T19:45:34.1127030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-vt100
2025-08-26T19:45:34.1127590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p19
2025-08-26T19:45:34.1128210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty
2025-08-26T19:45:34.1128810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9-8-w
2025-08-26T19:45:34.1129490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc6300plus
2025-08-26T19:45:34.1130230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-96x48
2025-08-26T19:45:34.1130800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcconsole
2025-08-26T19:45:34.1131390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pro350
2025-08-26T19:45:34.1132060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pckermit12
2025-08-26T19:45:34.1132690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi25
2025-08-26T19:45:34.1133270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9-8
2025-08-26T19:45:34.1134050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+xterm
2025-08-26T19:45:34.1134670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc-venix
2025-08-26T19:45:34.1135340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-basic
2025-08-26T19:45:34.1135980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pckermit
2025-08-26T19:45:34.1136700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+sgr+acs0
2025-08-26T19:45:34.1137320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-43
2025-08-26T19:45:34.1137890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pty
2025-08-26T19:45:34.1138520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt505
2025-08-26T19:45:34.1139100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon
2025-08-26T19:45:34.1139710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism7
2025-08-26T19:45:34.1140360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc-minix
2025-08-26T19:45:34.1140960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism9
2025-08-26T19:45:34.1141640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pckermit120
2025-08-26T19:45:34.1142270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt50w
2025-08-26T19:45:34.1142870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism8
2025-08-26T19:45:34.1143540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-fast
2025-08-26T19:45:34.1144150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/printer
2025-08-26T19:45:34.1144760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe1251
2025-08-26T19:45:34.1145430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-33
2025-08-26T19:45:34.1146030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt35w
2025-08-26T19:45:34.1146800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+vt400
2025-08-26T19:45:34.1147460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-25-m
2025-08-26T19:45:34.1148130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14-m-w
2025-08-26T19:45:34.1148710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p8-w
2025-08-26T19:45:34.1149380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-m
2025-08-26T19:45:34.1149980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p8gl
2025-08-26T19:45:34.1150690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+sgr+acs
2025-08-26T19:45:34.1151290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-m1
2025-08-26T19:45:34.1152010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+cursor
2025-08-26T19:45:34.1152660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys
2025-08-26T19:45:34.1153710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-256color
2025-08-26T19:45:34.1154310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-90x28
2025-08-26T19:45:34.1155000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-mono
2025-08-26T19:45:34.1155580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt250
2025-08-26T19:45:34.1156220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe6100
2025-08-26T19:45:34.1156910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12-m-w
2025-08-26T19:45:34.1157500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcz19
2025-08-26T19:45:34.1158180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism9-8
2025-08-26T19:45:34.1158760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm
2025-08-26T19:45:34.1159510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+vt100
2025-08-26T19:45:34.1160080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12-m
2025-08-26T19:45:34.1160690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p7
2025-08-26T19:45:34.1161300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt43
2025-08-26T19:45:34.1161870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9
2025-08-26T19:45:34.1162550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12-w
2025-08-26T19:45:34.1163180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt40w
2025-08-26T19:45:34.1163790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt28
2025-08-26T19:45:34.1164430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe1100
2025-08-26T19:45:34.1165110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc-coherent
2025-08-26T19:45:34.1165700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe550
2025-08-26T19:45:34.1166270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p8
2025-08-26T19:45:34.1166910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12-m-w
2025-08-26T19:45:34.1167480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3
2025-08-26T19:45:34.1168120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcmw
2025-08-26T19:45:34.1168740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt43w
2025-08-26T19:45:34.1169380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12-m
2025-08-26T19:45:34.1170010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12-w
2025-08-26T19:45:34.1170630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3r-m
2025-08-26T19:45:34.1171250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt25w
2025-08-26T19:45:34.1171900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe6312
2025-08-26T19:45:34.1172550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-sco
2025-08-26T19:45:34.1173290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+esc
2025-08-26T19:45:34.1173870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9-w
2025-08-26T19:45:34.1174460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3r
2025-08-26T19:45:34.1175100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12
2025-08-26T19:45:34.1175740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe7000m
2025-08-26T19:45:34.1176420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-m1b
2025-08-26T19:45:34.1177020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi
2025-08-26T19:45:34.1177650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe7000c
2025-08-26T19:45:34.1178350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt25-color
2025-08-26T19:45:34.1178990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi43
2025-08-26T19:45:34.1179540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14
2025-08-26T19:45:34.1180200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14-m-w
2025-08-26T19:45:34.1180810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14
2025-08-26T19:45:34.1181500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-noapp
2025-08-26T19:45:34.1182110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pilot
2025-08-26T19:45:34.1182680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12
2025-08-26T19:45:34.1183380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+colors
2025-08-26T19:45:34.1184130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+linux
2025-08-26T19:45:34.1184740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi25m
2025-08-26T19:45:34.1185400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psx_ansi
2025-08-26T19:45:34.1186110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-25
2025-08-26T19:45:34.1186640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt100
2025-08-26T19:45:34.1187280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/ps300
2025-08-26T19:45:34.1187900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe1200
2025-08-26T19:45:34.1188520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt250w
2025-08-26T19:45:34.1189170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism8gl
2025-08-26T19:45:34.1189790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi33
2025-08-26T19:45:34.1190450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism4
2025-08-26T19:45:34.1191470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt505-24
2025-08-26T19:45:34.1191780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism8-w
2025-08-26T19:45:34.1192400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcplot
2025-08-26T19:45:34.1193150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+sco
2025-08-26T19:45:34.1193850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-screen
2025-08-26T19:45:34.1194500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+keys
2025-08-26T19:45:34.1195090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism5
2025-08-26T19:45:34.1195770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt505-22
2025-08-26T19:45:34.1196380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism2
2025-08-26T19:45:34.1197040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-m2
2025-08-26T19:45:34.1197660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc7300
2025-08-26T19:45:34.1198350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-80x24
2025-08-26T19:45:34.1198990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+base
2025-08-26T19:45:34.1199670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi33m
2025-08-26T19:45:34.1200280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon-m
2025-08-26T19:45:34.1200890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt100w
2025-08-26T19:45:34.1201540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe6300
2025-08-26T19:45:34.1202150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt200
2025-08-26T19:45:34.1202770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt35
2025-08-26T19:45:34.1203420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt28w
2025-08-26T19:45:34.1204030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pmcons
2025-08-26T19:45:34.1204630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcix
2025-08-26T19:45:34.1205310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon0-m
2025-08-26T19:45:34.1205910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt50
2025-08-26T19:45:34.1206580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-33-m
2025-08-26T19:45:34.1207360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+screen
2025-08-26T19:45:34.1207890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qdcons
2025-08-26T19:45:34.1208510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203
2025-08-26T19:45:34.1209170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p-25
2025-08-26T19:45:34.1209840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+-25-w
2025-08-26T19:45:34.1210510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p-25-w
2025-08-26T19:45:34.1211100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxt
2025-08-26T19:45:34.1211750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-25
2025-08-26T19:45:34.1212360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119
2025-08-26T19:45:34.1212950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnx
2025-08-26T19:45:34.1213540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxt4
2025-08-26T19:45:34.1214230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt103
2025-08-26T19:45:34.1214830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119-w
2025-08-26T19:45:34.1215430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p
2025-08-26T19:45:34.1216040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-g
2025-08-26T19:45:34.1216720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-25-w
2025-08-26T19:45:34.1217350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+-w
2025-08-26T19:45:34.1217960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt102
2025-08-26T19:45:34.1218620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-t
2025-08-26T19:45:34.1219180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxt2
2025-08-26T19:45:34.1219830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-w
2025-08-26T19:45:34.1220470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt101p
2025-08-26T19:45:34.1221090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxtmono
2025-08-26T19:45:34.1221720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt103-w
2025-08-26T19:45:34.1222400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+-25
2025-08-26T19:45:34.1222970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qume
2025-08-26T19:45:34.1223660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-w-am
2025-08-26T19:45:34.1224240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxw
2025-08-26T19:45:34.1224840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnx4
2025-08-26T19:45:34.1225500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p-w
2025-08-26T19:45:34.1226100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxm
2025-08-26T19:45:34.1226710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-m
2025-08-26T19:45:34.1227310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qdss
2025-08-26T19:45:34.1227940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-w
2025-08-26T19:45:34.1228550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt101
2025-08-26T19:45:34.1229180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+
2025-08-26T19:45:34.1229780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt108
2025-08-26T19:45:34.1230390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qume5
2025-08-26T19:45:34.1230990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi
2025-08-26T19:45:34.1231630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt101+
2025-08-26T19:45:34.1232260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203+
2025-08-26T19:45:34.1232920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119-25-w
2025-08-26T19:45:34.1233510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt61
2025-08-26T19:45:34.1234110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt330
2025-08-26T19:45:34.1234740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102
2025-08-26T19:45:34.1235300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt50
2025-08-26T19:45:34.1235900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vp60
2025-08-26T19:45:34.1236600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-putty
2025-08-26T19:45:34.1237210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-8
2025-08-26T19:45:34.1237880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nav-w
2025-08-26T19:45:34.1238470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300
2025-08-26T19:45:34.1239070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt132
2025-08-26T19:45:34.1242980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc403a
2025-08-26T19:45:34.1243190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+pcedit
2025-08-26T19:45:34.1243320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-s
2025-08-26T19:45:34.1243490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip
2025-08-26T19:45:34.1243620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-direct
2025-08-26T19:45:34.1243760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint90
2025-08-26T19:45:34.1243900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte+pcfkeys
2025-08-26T19:45:34.1244500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-nam
2025-08-26T19:45:34.1245100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vitty
2025-08-26T19:45:34.1245720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102-w
2025-08-26T19:45:34.1246360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/versaterm
2025-08-26T19:45:34.1246970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/visa50
2025-08-26T19:45:34.1247650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt52+arrows
2025-08-26T19:45:34.1248240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vp3a+
2025-08-26T19:45:34.1248900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewdata
2025-08-26T19:45:34.1249530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2014
2025-08-26T19:45:34.1250120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi550
2025-08-26T19:45:34.1250790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102-nsgr
2025-08-26T19:45:34.1251440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-old
2025-08-26T19:45:34.1252040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt-61
2025-08-26T19:45:34.1252710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-k311
2025-08-26T19:45:34.1253320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+
2025-08-26T19:45:34.1254030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+keypad
2025-08-26T19:45:34.1254620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vtnt
2025-08-26T19:45:34.1255300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+4bsd
2025-08-26T19:45:34.1255980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewdata-o
2025-08-26T19:45:34.1256610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt61.5
2025-08-26T19:45:34.1257230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt510pc
2025-08-26T19:45:34.1257820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc203
2025-08-26T19:45:34.1258450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v200-nam
2025-08-26T19:45:34.1259050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220
2025-08-26T19:45:34.1259700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-k3
2025-08-26T19:45:34.1260330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100nam
2025-08-26T19:45:34.1260960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2012
2025-08-26T19:45:34.1261560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi300
2025-08-26T19:45:34.1262220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vapple
2025-08-26T19:45:34.1262780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip-H
2025-08-26T19:45:34.1263410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2008
2025-08-26T19:45:34.1264010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc415
2025-08-26T19:45:34.1264610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt400
2025-08-26T19:45:34.1265250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-vb
2025-08-26T19:45:34.1265950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+vtedit
2025-08-26T19:45:34.1266580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-nam
2025-08-26T19:45:34.1267250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+noapp
2025-08-26T19:45:34.1267830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v320n
2025-08-26T19:45:34.1268440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vv100
2025-08-26T19:45:34.1269090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+enq
2025-08-26T19:45:34.1269760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-w
2025-08-26T19:45:34.1270370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102+enq
2025-08-26T19:45:34.1271000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2007
2025-08-26T19:45:34.1271660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-s-top
2025-08-26T19:45:34.1272270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc414
2025-08-26T19:45:34.1272940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-w
2025-08-26T19:45:34.1273630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt52-basic
2025-08-26T19:45:34.1274210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vk100
2025-08-26T19:45:34.1274880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-8bit
2025-08-26T19:45:34.1275480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt520
2025-08-26T19:45:34.1276110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt340
2025-08-26T19:45:34.1276740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vs100-x10
2025-08-26T19:45:34.1277410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nam-w
2025-08-26T19:45:34.1278110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+noapp+pc
2025-08-26T19:45:34.1278680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi55
2025-08-26T19:45:34.1279280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi603
2025-08-26T19:45:34.1279920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vwmterm
2025-08-26T19:45:34.1280600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420pcdos
2025-08-26T19:45:34.1281250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-js
2025-08-26T19:45:34.1281880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vs100
2025-08-26T19:45:34.1282520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt520ansi
2025-08-26T19:45:34.1283140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt510
2025-08-26T19:45:34.1284050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-js
2025-08-26T19:45:34.1284710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-256color
2025-08-26T19:45:34.1285340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip7800-w
2025-08-26T19:45:34.1286040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+cvis
2025-08-26T19:45:34.1286600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc103
2025-08-26T19:45:34.1287280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-8bit
2025-08-26T19:45:34.1287910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi300-old
2025-08-26T19:45:34.1288530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-w
2025-08-26T19:45:34.1289110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vp90
2025-08-26T19:45:34.1289810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+fnkeys
2025-08-26T19:45:34.1290460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi200-f
2025-08-26T19:45:34.1291030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420f
2025-08-26T19:45:34.1291660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt400-24
2025-08-26T19:45:34.1292280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300-w
2025-08-26T19:45:34.1292930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/visual603
2025-08-26T19:45:34.1293550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w
2025-08-26T19:45:34.1294240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint60
2025-08-26T19:45:34.1294830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt52
2025-08-26T19:45:34.1295480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt131
2025-08-26T19:45:34.1296090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt50h
2025-08-26T19:45:34.1296700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100
2025-08-26T19:45:34.1297330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/venix
2025-08-26T19:45:34.1297940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2017
2025-08-26T19:45:34.1298620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip7800-Hw
2025-08-26T19:45:34.1299200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc404
2025-08-26T19:45:34.1299800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420
2025-08-26T19:45:34.1300500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w-nav
2025-08-26T19:45:34.1301060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte
2025-08-26T19:45:34.1301670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v3220
2025-08-26T19:45:34.1302370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-bot-s
2025-08-26T19:45:34.1303030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w-nam
2025-08-26T19:45:34.1303630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi500
2025-08-26T19:45:34.1304230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc414h
2025-08-26T19:45:34.1304910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt52+keypad
2025-08-26T19:45:34.1305520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2018
2025-08-26T19:45:34.1306190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420+lrmm
2025-08-26T19:45:34.1306860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+pfkeys
2025-08-26T19:45:34.1307510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt510pcdos
2025-08-26T19:45:34.1308120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vremote
2025-08-26T19:45:34.1308800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-top-s
2025-08-26T19:45:34.1309460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewdata-rv
2025-08-26T19:45:34.1310060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip-w
2025-08-26T19:45:34.1310720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nav
2025-08-26T19:45:34.1311390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-base
2025-08-26T19:45:34.1312070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300-w-nam
2025-08-26T19:45:34.1312780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint3a+
2025-08-26T19:45:34.1313440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nam
2025-08-26T19:45:34.1314100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-bm-o
2025-08-26T19:45:34.1314750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi50adm
2025-08-26T19:45:34.1315400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300-nam
2025-08-26T19:45:34.1316010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200
2025-08-26T19:45:34.1316660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220d
2025-08-26T19:45:34.1317260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vsc
2025-08-26T19:45:34.1317920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420pc
2025-08-26T19:45:34.1318590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-8
2025-08-26T19:45:34.1319180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vanilla
2025-08-26T19:45:34.1319810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vscode
2025-08-26T19:45:34.1320420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt125
2025-08-26T19:45:34.1321060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip-Hw
2025-08-26T19:45:34.1321720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-old
2025-08-26T19:45:34.1322310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v5410
2025-08-26T19:45:34.1323000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+keypad
2025-08-26T19:45:34.1323590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc303a
2025-08-26T19:45:34.1324240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-am
2025-08-26T19:45:34.1324900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-s-bot
2025-08-26T19:45:34.1325560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320nam
2025-08-26T19:45:34.1326190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w-am
2025-08-26T19:45:34.1326790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320
2025-08-26T19:45:34.1327370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc303
2025-08-26T19:45:34.1327960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi50
2025-08-26T19:45:34.1328610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip7800-H
2025-08-26T19:45:34.1329280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint
2025-08-26T19:45:34.1329880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc404-s
2025-08-26T19:45:34.1330550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+cvis8
2025-08-26T19:45:34.1331160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt-utf8
2025-08-26T19:45:34.1331760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi200
2025-08-26T19:45:34.1332410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-bm
2025-08-26T19:45:34.1333100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vscode-direct
2025-08-26T19:45:34.1333680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt525
2025-08-26T19:45:34.1334310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi200-rv
2025-08-26T19:45:34.1334990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-w-nam
2025-08-26T19:45:34.1335700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-256color
2025-08-26T19:45:34.1336330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+r6f2
2025-08-26T19:45:34.1337030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-112x37
2025-08-26T19:45:34.1337710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+200x64
2025-08-26T19:45:34.1338420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+x10mouse
2025-08-26T19:45:34.1339130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+128x48
2025-08-26T19:45:34.1339800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+osc104
2025-08-26T19:45:34.1340500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-200x64-m
2025-08-26T19:45:34.1341140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-color
2025-08-26T19:45:34.1341830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-16color
2025-08-26T19:45:34.1342510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xf86-v40
2025-08-26T19:45:34.1343190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+128x40
2025-08-26T19:45:34.1343830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-m-b
2025-08-26T19:45:34.1344560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+direct256
2025-08-26T19:45:34.1345220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+direct2
2025-08-26T19:45:34.1345890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+app+pc
2025-08-26T19:45:34.1346520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xgterm
2025-08-26T19:45:34.1347180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+88color
2025-08-26T19:45:34.1347810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+c
2025-08-26T19:45:34.1348460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pce2
2025-08-26T19:45:34.1349140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-200x64
2025-08-26T19:45:34.1349830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-128x48
2025-08-26T19:45:34.1350440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+app
2025-08-26T19:45:34.1351110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-8bit
2025-08-26T19:45:34.1351720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xerox820
2025-08-26T19:45:34.1352310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x1750
2025-08-26T19:45:34.1353050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+112x37
2025-08-26T19:45:34.1353610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xtermm
2025-08-26T19:45:34.1354250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xi
2025-08-26T19:45:34.1354920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcc0
2025-08-26T19:45:34.1355540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-f
2025-08-26T19:45:34.1356360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-x11hilite
2025-08-26T19:45:34.1356870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xtermc
2025-08-26T19:45:34.1357590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-80x25-m
2025-08-26T19:45:34.1358230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcf2
2025-08-26T19:45:34.1358910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+keypad
2025-08-26T19:45:34.1359500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm
2025-08-26T19:45:34.1360200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-128x40
2025-08-26T19:45:34.1360850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+noapp
2025-08-26T19:45:34.1361490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+b
2025-08-26T19:45:34.1362160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-basic
2025-08-26T19:45:34.1362810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+meta
2025-08-26T19:45:34.1363560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+x11mouse
2025-08-26T19:45:34.1364160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-f2
2025-08-26T19:45:34.1364750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x820
2025-08-26T19:45:34.1365430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcc1
2025-08-26T19:45:34.1366060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-r6
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2025-08-26T19:45:34.1479330Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/examples/04_compress_easy_mt.c
2025-08-26T19:45:34.1480070Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/examples/01_compress_easy.c
2025-08-26T19:45:34.1480800Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/examples/02_decompress.c
2025-08-26T19:45:34.1481480Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/examples/Makefile
2025-08-26T19:45:34.1482310Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/examples/03_compress_custom.c
2025-08-26T19:45:34.1482980Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/examples/00_README.txt
2025-08-26T19:45:34.1483710Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/examples/11_file_info.c
2025-08-26T19:45:34.1484280Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/COPYING.0BSD
2025-08-26T19:45:34.1484910Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/COPYING.GPLv2
2025-08-26T19:45:34.1485520Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/history.txt
2025-08-26T19:45:34.1486110Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/THANKS
2025-08-26T19:45:34.1486790Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/xz-file-format.txt
2025-08-26T19:45:34.1487450Z /opt/homebrew/Caskroom/miniconda/base/share/doc/libssh2/BINDINGS.md
2025-08-26T19:45:34.1488070Z /opt/homebrew/Caskroom/miniconda/base/share/doc/libssh2/AUTHORS
2025-08-26T19:45:34.1488710Z /opt/homebrew/Caskroom/miniconda/base/share/doc/libssh2/HACKING.md
2025-08-26T19:45:34.1489420Z /opt/homebrew/Caskroom/miniconda/base/share/doc/libssh2/RELEASE-NOTES
2025-08-26T19:45:34.1489990Z /opt/homebrew/Caskroom/miniconda/base/share/doc/libssh2/README
2025-08-26T19:45:34.1490630Z /opt/homebrew/Caskroom/miniconda/base/share/doc/libssh2/COPYING
2025-08-26T19:45:34.1491220Z /opt/homebrew/Caskroom/miniconda/base/share/doc/libssh2/NEWS
2025-08-26T19:45:34.1492000Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_config.html
2025-08-26T19:45:34.1492740Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2compat.html
2025-08-26T19:45:34.1493640Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_depth_limit.html
2025-08-26T19:45:34.1494230Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2.html
2025-08-26T19:45:34.1495280Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_data_create_from_pattern.html
2025-08-26T19:45:34.1495960Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2unicode.html
2025-08-26T19:45:34.1496690Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2sample.html
2025-08-26T19:45:34.1497570Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_pattern_convert.html
2025-08-26T19:45:34.1498380Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_heap_limit.html
2025-08-26T19:45:34.1499310Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_substitute_callout.html
2025-08-26T19:45:34.1499910Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/index.html
2025-08-26T19:45:34.1500730Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_code_free.html
2025-08-26T19:45:34.1501690Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_converted_pattern_free.html
2025-08-26T19:45:34.1502620Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_length_bynumber.html
2025-08-26T19:45:34.1503420Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_data_free.html
2025-08-26T19:45:34.1504280Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_callout_enumerate.html
2025-08-26T19:45:34.1505100Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_free.html
2025-08-26T19:45:34.1505810Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2perform.html
2025-08-26T19:45:34.1506730Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_code_copy_with_tables.html
2025-08-26T19:45:34.1507390Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2jit.html
2025-08-26T19:45:34.1508170Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2serialize.html
2025-08-26T19:45:34.1509030Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_data_create.html
2025-08-26T19:45:34.1509810Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_maketables.html
2025-08-26T19:45:34.1510660Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_stack_assign.html
2025-08-26T19:45:34.1511380Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_bsr.html
2025-08-26T19:45:34.1512250Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_stack_create.html
2025-08-26T19:45:34.1512990Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_mark.html
2025-08-26T19:45:34.1513930Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_free_unused_memory.html
2025-08-26T19:45:34.1514800Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_character_tables.html
2025-08-26T19:45:34.1515640Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_match_limit.html
2025-08-26T19:45:34.1516550Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_parens_nest_limit.html
2025-08-26T19:45:34.1517250Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2syntax.html
2025-08-26T19:45:34.1517940Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2api.html
2025-08-26T19:45:34.1518810Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_error_message.html
2025-08-26T19:45:34.1519630Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_startchar.html
2025-08-26T19:45:34.1520400Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_newline.html
2025-08-26T19:45:34.1521130Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2convert.html
2025-08-26T19:45:34.1522010Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_ovector_count.html
2025-08-26T19:45:34.1522820Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_pattern_info.html
2025-08-26T19:45:34.1523680Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_maketables_free.html
2025-08-26T19:45:34.1524530Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_glob_escape.html
2025-08-26T19:45:34.1525450Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_ovector_pointer.html
2025-08-26T19:45:34.1526220Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_code_copy.html
2025-08-26T19:45:34.1526960Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2matching.html
2025-08-26T19:45:34.1527900Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_general_context_create.html
2025-08-26T19:45:34.1528570Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2test.html
2025-08-26T19:45:34.1529400Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_dfa_match.html
2025-08-26T19:45:34.1530120Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2posix.html
2025-08-26T19:45:34.1531060Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_max_pattern_length.html
2025-08-26T19:45:34.1531880Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_serialize_encode.html
2025-08-26T19:45:34.1532780Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_recursion_limit.html
2025-08-26T19:45:34.1533640Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_convert_context_free.html
2025-08-26T19:45:34.1534580Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_nametable_scan.html
2025-08-26T19:45:34.1535260Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2callout.html
2025-08-26T19:45:34.1536170Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_general_context_copy.html
2025-08-26T19:45:34.1537050Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_compile_context_free.html
2025-08-26T19:45:34.1537740Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2build.html
2025-08-26T19:45:34.1538600Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_offset_limit.html
2025-08-26T19:45:34.1539500Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_get_byname.html
2025-08-26T19:45:34.1540230Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_match.html
2025-08-26T19:45:34.1541180Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_compile_context_create.html
2025-08-26T19:45:34.1541870Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2partial.html
2025-08-26T19:45:34.1542580Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2grep.html
2025-08-26T19:45:34.1543480Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_context_free.html
2025-08-26T19:45:34.1544340Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_glob_separator.html
2025-08-26T19:45:34.1545120Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2pattern.html
2025-08-26T19:45:34.1545960Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_general_context_free.html
2025-08-26T19:45:34.1546640Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2demo.html
2025-08-26T19:45:34.1547700Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_recursion_memory_management.html
2025-08-26T19:45:34.1548570Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_convert_context_create.html
2025-08-26T19:45:34.1549430Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_compile_context_copy.html
2025-08-26T19:45:34.1550430Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_serialize_get_number_of_codes.html
2025-08-26T19:45:34.1551370Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_compile_recursion_guard.html
2025-08-26T19:45:34.1552370Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_number_from_name.html
2025-08-26T19:45:34.1553150Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_list_free.html
2025-08-26T19:45:34.1554020Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_convert_context_copy.html
2025-08-26T19:45:34.1554890Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_match_data_size.html
2025-08-26T19:45:34.1555820Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_length_byname.html
2025-08-26T19:45:34.1556720Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_copy_bynumber.html
2025-08-26T19:45:34.1557480Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_compile.html
2025-08-26T19:45:34.1558330Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_serialize_decode.html
2025-08-26T19:45:34.1559190Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_context_copy.html
2025-08-26T19:45:34.1559930Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_compile.html
2025-08-26T19:45:34.1560770Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_stack_free.html
2025-08-26T19:45:34.1561490Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2limits.html
2025-08-26T19:45:34.1562230Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2-config.html
2025-08-26T19:45:34.1563020Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substitute.html
2025-08-26T19:45:34.1563760Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match.html
2025-08-26T19:45:34.1564740Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_compile_extra_options.html
2025-08-26T19:45:34.1565540Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_serialize_free.html
2025-08-26T19:45:34.1566670Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_get_bynumber.html
2025-08-26T19:45:34.1567430Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_callout.html
2025-08-26T19:45:34.1568350Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_copy_byname.html
2025-08-26T19:45:34.1569200Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_list_get.html
2025-08-26T19:45:34.1570080Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_context_create.html
2025-08-26T19:45:34.1570620Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconvctl.3.html
2025-08-26T19:45:34.1571350Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconv_open_into.3.html
2025-08-26T19:45:34.1571980Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconv_open.3.html
2025-08-26T19:45:34.1572550Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconv.1.html
2025-08-26T19:45:34.1573170Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/install-sh
2025-08-26T19:45:34.1573750Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/LICENSE
2025-08-26T19:45:34.1574480Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/config/mh-darwin
2025-08-26T19:45:34.1575130Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/mkinstalldirs
2025-08-26T19:45:35.2427440Z ==> Uninstalling Cask miniconda
2025-08-26T19:45:35.2427740Z ==> Removing files:
2025-08-26T19:45:35.2428230Z /opt/homebrew/Caskroom/miniconda/base
2025-08-26T19:45:38.0178680Z ==> Unlinking Binary '/opt/homebrew/bin/conda'
2025-08-26T19:45:38.0219760Z ==> Purging files for version py313_25.7.0-2 of Cask miniconda
2025-08-26T19:45:38.0868190Z ##[group]Run for dir in  ~/.local/lib/python3.*/site-packages; do
2025-08-26T19:45:38.0868520Z for dir in  ~/.local/lib/python3.*/site-packages; do
2025-08-26T19:45:38.0868750Z   echo "Cleaning up ${dir}"
2025-08-26T19:45:38.0868930Z   rm -rf "${dir}"
2025-08-26T19:45:38.0869060Z done
2025-08-26T19:45:38.0928550Z shell: /bin/bash -e -l {0}
2025-08-26T19:45:38.0928750Z env:
2025-08-26T19:45:38.0928870Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:45:38.0929030Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:45:38.0929190Z   TEST_CONFIG: default
2025-08-26T19:45:38.0929330Z   SHARD_NUMBER: 1
2025-08-26T19:45:38.0929450Z   NUM_TEST_SHARDS: 3
2025-08-26T19:45:38.0929580Z   PR_BODY: 
2025-08-26T19:45:38.0929690Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:45:38.0929840Z ##[endgroup]
2025-08-26T19:45:38.1190200Z Cleaning up /Users/ec2-user/.local/lib/python3.*/site-packages
2025-08-26T19:45:38.1258210Z ##[group]Run pytorch/test-infra/.github/actions/check-disk-space@main
2025-08-26T19:45:38.1258470Z with:
2025-08-26T19:45:38.1258620Z   minimum-available-space-in-gb: 6
2025-08-26T19:45:38.1258810Z env:
2025-08-26T19:45:38.1258960Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:45:38.1259120Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:45:38.1259300Z   TEST_CONFIG: default
2025-08-26T19:45:38.1259460Z   SHARD_NUMBER: 1
2025-08-26T19:45:38.1259610Z   NUM_TEST_SHARDS: 3
2025-08-26T19:45:38.1259750Z   PR_BODY: 
2025-08-26T19:45:38.1259890Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:45:38.1260040Z ##[endgroup]
2025-08-26T19:45:38.1306840Z ##[group]Run echo "Print the available disk space for manual inspection"
2025-08-26T19:45:38.1307220Z echo "Print the available disk space for manual inspection"
2025-08-26T19:45:38.1307460Z df -h
2025-08-26T19:45:38.1307580Z 
2025-08-26T19:45:38.1307710Z function check_disk_space() {
2025-08-26T19:45:38.1307920Z   set +e
2025-08-26T19:45:38.1308050Z 
2025-08-26T19:45:38.1308220Z   # Set the minimum requirement space to 6GB
2025-08-26T19:45:38.1308530Z   MINIMUM_AVAILABLE_SPACE_IN_KB=$(($MINIMUM_AVAILABLE_SPACE_IN_GB * 1024 * 1024))
2025-08-26T19:45:38.1308800Z 
2025-08-26T19:45:38.1308970Z   # Use KB to avoid floating point warning like 3.1GB
2025-08-26T19:45:38.1309230Z   df -k | tr -s ' ' | cut -d' ' -f 4,9 | while read -r LINE;
2025-08-26T19:45:38.1309440Z   do
2025-08-26T19:45:38.1309600Z     AVAIL=$(echo $LINE | cut -f1 -d' ')
2025-08-26T19:45:38.1309820Z     MOUNT=$(echo $LINE | cut -f2 -d' ')
2025-08-26T19:45:38.1310000Z 
2025-08-26T19:45:38.1310140Z     if [ "${MOUNT}" = "/" ]; then
2025-08-26T19:45:38.1310370Z       if [ "${AVAIL}" -lt "${MINIMUM_AVAILABLE_SPACE_IN_KB}" ]; then
2025-08-26T19:45:38.1310880Z         echo "Failure: There is only ${AVAIL}KB free space left in ${MOUNT}, which is less than the minimum requirement of ${MINIMUM_AVAILABLE_SPACE_IN_KB}KB for ${RUNNER_OS}"
2025-08-26T19:45:38.1311320Z       else
2025-08-26T19:45:38.1311570Z         echo "Success: There is ${AVAIL}KB free space left in ${MOUNT} for ${RUNNER_OS}, continue"
2025-08-26T19:45:38.1311850Z       fi
2025-08-26T19:45:38.1311980Z     fi
2025-08-26T19:45:38.1312100Z   done
2025-08-26T19:45:38.1312220Z 
2025-08-26T19:45:38.1312420Z   set -e
2025-08-26T19:45:38.1312560Z }
2025-08-26T19:45:38.1312670Z 
2025-08-26T19:45:38.1312800Z RESULT=$(check_disk_space)
2025-08-26T19:45:38.1312980Z echo "${RESULT}"
2025-08-26T19:45:38.1313130Z 
2025-08-26T19:45:38.1313310Z if [[ "${RESULT}" == *Failure* && "${RUNNER_OS}" == "macOS" ]]; then
2025-08-26T19:45:38.1313800Z   # We can clean up /System/Library/Caches/com.apple.coresymbolicationd on MacOS to free up the space and this should free up enough space
2025-08-26T19:45:38.1314250Z   # https://github.com/pytorch/pytorch/issues/85440
2025-08-26T19:45:38.1314580Z   sudo rm "/System/Library/Caches/com.apple.coresymbolicationd/data" || true
2025-08-26T19:45:38.1315060Z   # Stop the daemon and launchctl will automatically start it again, thus accomplish a restart and free up the above file
2025-08-26T19:45:38.1315480Z   sudo launchctl stop com.apple.coresymbolicationd || true
2025-08-26T19:45:38.1315770Z 
2025-08-26T19:45:38.1315930Z   # Clean up crash reports on the runner
2025-08-26T19:45:38.1316220Z   sudo rm -rf "/System/Volumes/Data/Library/Logs/CrashReporter" || true
2025-08-26T19:45:38.1316460Z 
2025-08-26T19:45:38.1316640Z   # Also try to clean up torch.hub caching directory
2025-08-26T19:45:38.1316880Z   rm -rf "${HOME}/.cache/torch/hub" || true
2025-08-26T19:45:38.1317270Z 
2025-08-26T19:45:38.1317410Z   # Purge conda
2025-08-26T19:45:38.1317570Z   conda clean -p -t -y || true
2025-08-26T19:45:38.1317750Z   # and pip cache
2025-08-26T19:45:38.1317910Z   pip cache purge || true
2025-08-26T19:45:38.1318080Z 
2025-08-26T19:45:38.1318280Z   echo "Re-run disk space check for ${RUNNER_OS} after cleaning up"
2025-08-26T19:45:38.1318520Z   # Re-run the check
2025-08-26T19:45:38.1318700Z   RESULT=$(check_disk_space)
2025-08-26T19:45:38.1318880Z   echo "${RESULT}"
2025-08-26T19:45:38.1319020Z fi
2025-08-26T19:45:38.1319160Z 
2025-08-26T19:45:38.1319290Z if [[ "${RESULT}" == *Failure* ]]; then
2025-08-26T19:45:38.1319470Z   df -h
2025-08-26T19:45:38.1319600Z 
2025-08-26T19:45:38.1320010Z   echo "Please help create an issue to PyTorch Release Engineering via https://github.com/pytorch/test-infra/issues and provide the link to the workflow run."
2025-08-26T19:45:38.1320460Z   exit 1
2025-08-26T19:45:38.1320580Z fi
2025-08-26T19:45:38.1332280Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T19:45:38.1332530Z env:
2025-08-26T19:45:38.1332650Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:45:38.1332840Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:45:38.1333040Z   TEST_CONFIG: default
2025-08-26T19:45:38.1333170Z   SHARD_NUMBER: 1
2025-08-26T19:45:38.1333300Z   NUM_TEST_SHARDS: 3
2025-08-26T19:45:38.1333440Z   PR_BODY: 
2025-08-26T19:45:38.1333580Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:45:38.1333750Z   MINIMUM_AVAILABLE_SPACE_IN_GB: 6
2025-08-26T19:45:38.1333910Z ##[endgroup]
2025-08-26T19:45:38.1524800Z Print the available disk space for manual inspection
2025-08-26T19:45:38.1544970Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-08-26T19:45:38.1545350Z /dev/disk5s2s1   256Gi   9.5Gi   169Gi     6%    404k  1.8G    0%   /
2025-08-26T19:45:38.1545700Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-08-26T19:45:38.1546030Z /dev/disk5s5     256Gi   2.0Gi   169Gi     2%       2  1.8G    0%   /System/Volumes/VM
2025-08-26T19:45:38.1546390Z /dev/disk5s3     256Gi   5.7Gi   169Gi     4%    1.0k  1.8G    0%   /System/Volumes/Preboot
2025-08-26T19:45:38.1546780Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-08-26T19:45:38.1547150Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-08-26T19:45:38.1547680Z /dev/disk1s3     500Mi   868Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-08-26T19:45:38.1548070Z /dev/disk5s1     256Gi    69Gi   169Gi    29%    3.9M  1.8G    0%   /System/Volumes/Data
2025-08-26T19:45:38.1548430Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-08-26T19:45:38.1548800Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-Y4iZbF
2025-08-26T19:45:38.1936380Z Success: There is 177266064KB free space left in / for macOS, continue
2025-08-26T19:45:38.2022530Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-08-26T19:45:38.2022780Z with:
2025-08-26T19:45:38.2022910Z   submodules: recursive
2025-08-26T19:45:38.2023050Z   fetch-depth: 0
2025-08-26T19:45:38.2023180Z env:
2025-08-26T19:45:38.2023280Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:45:38.2023450Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:45:38.2023670Z   TEST_CONFIG: default
2025-08-26T19:45:38.2023800Z   SHARD_NUMBER: 1
2025-08-26T19:45:38.2023910Z   NUM_TEST_SHARDS: 3
2025-08-26T19:45:38.2024030Z   PR_BODY: 
2025-08-26T19:45:38.2024150Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:45:38.2024290Z ##[endgroup]
2025-08-26T19:45:38.2035150Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T19:45:38.2035710Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T19:45:38.2047120Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T19:45:38.2047350Z env:
2025-08-26T19:45:38.2047460Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:45:38.2047610Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:45:38.2047770Z   TEST_CONFIG: default
2025-08-26T19:45:38.2047900Z   SHARD_NUMBER: 1
2025-08-26T19:45:38.2048030Z   NUM_TEST_SHARDS: 3
2025-08-26T19:45:38.2048160Z   PR_BODY: 
2025-08-26T19:45:38.2048270Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:45:38.2048430Z ##[endgroup]
2025-08-26T19:45:38.2285320Z ##[group]Run # Use all available CPUs for fetching
2025-08-26T19:45:38.2285620Z # Use all available CPUs for fetching
2025-08-26T19:45:38.2285820Z cd "${GITHUB_WORKSPACE}"
2025-08-26T19:45:38.2286030Z git config --global fetch.parallel 0
2025-08-26T19:45:38.2286260Z git config --global submodule.fetchJobs 0
2025-08-26T19:45:38.2286460Z 
2025-08-26T19:45:38.2286720Z # Clean workspace. The default checkout action should also do this, but
2025-08-26T19:45:38.2287020Z # do it here as well just in case
2025-08-26T19:45:38.2287210Z if [[ -d .git ]]; then
2025-08-26T19:45:38.2287390Z   if [ -z "${NO_SUDO}" ]; then
2025-08-26T19:45:38.2287570Z     sudo git clean -ffdx
2025-08-26T19:45:38.2287730Z   else
2025-08-26T19:45:38.2287880Z     git clean -ffdx
2025-08-26T19:45:38.2288040Z   fi
2025-08-26T19:45:38.2288160Z fi
2025-08-26T19:45:38.2299430Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T19:45:38.2299640Z env:
2025-08-26T19:45:38.2299770Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:45:38.2299950Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:45:38.2300130Z   TEST_CONFIG: default
2025-08-26T19:45:38.2300260Z   SHARD_NUMBER: 1
2025-08-26T19:45:38.2300400Z   NUM_TEST_SHARDS: 3
2025-08-26T19:45:38.2300540Z   PR_BODY: 
2025-08-26T19:45:38.2300670Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:45:38.2300830Z   NO_SUDO: 
2025-08-26T19:45:38.2300950Z ##[endgroup]
2025-08-26T19:45:39.5405870Z Removing .additional_ci_files/
2025-08-26T19:45:39.5406180Z Removing .pytest_cache/
2025-08-26T19:45:39.5406380Z Removing build/
2025-08-26T19:45:39.5406520Z Removing dist/
2025-08-26T19:45:39.5406710Z Removing test/.pytorch-disabled-tests.json
2025-08-26T19:45:39.5416180Z Removing test/__pycache__/
2025-08-26T19:45:39.5416690Z Removing test/ao/sparsity/__pycache__/
2025-08-26T19:45:39.5416910Z Removing test/dynamo/__pycache__/
2025-08-26T19:45:39.5417100Z Removing test/export/__pycache__/
2025-08-26T19:45:39.5417300Z Removing test/functorch/__pycache__/
2025-08-26T19:45:39.5417480Z Removing test/inductor/__pycache__/
2025-08-26T19:45:39.5417660Z Removing test/package/__pycache__/
2025-08-26T19:45:39.5417860Z Removing test/package/package_a/__pycache__/
2025-08-26T19:45:39.5418080Z Removing test/package/package_b/__pycache__/
2025-08-26T19:45:39.5418330Z Removing test/package/package_b/subpackage_0/__pycache__/
2025-08-26T19:45:39.5419030Z Removing test/package/package_b/subpackage_0/subsubpackage_0/__pycache__/
2025-08-26T19:45:39.5419340Z Removing test/package/package_d/__pycache__/
2025-08-26T19:45:39.5419580Z Removing test/package/package_d/subpackage_0/__pycache__/
2025-08-26T19:45:39.5419920Z Removing test/package/package_d/subpackage_0/subsubpackage_0/__pycache__/
2025-08-26T19:45:39.5420270Z Removing test/package/test_trace_dep/__pycache__/
2025-08-26T19:45:39.5420500Z Removing test/quantization/__pycache__/
2025-08-26T19:45:39.5420730Z Removing test/quantization/ao_migration/__pycache__/
2025-08-26T19:45:39.5420980Z Removing test/quantization/bc/__pycache__/
2025-08-26T19:45:39.5421170Z Removing test/quantization/core/__pycache__/
2025-08-26T19:45:39.5421400Z Removing test/quantization/core/experimental/__pycache__/
2025-08-26T19:45:39.5421670Z Removing test/quantization/eager/__pycache__/
2025-08-26T19:45:39.5421890Z Removing test/quantization/fx/__pycache__/
2025-08-26T19:45:39.5422100Z Removing test/quantization/jit/__pycache__/
2025-08-26T19:45:39.5422310Z Removing test/quantization/pt2e/__pycache__/
2025-08-26T19:45:39.5422530Z Removing test/test-reports/
2025-08-26T19:45:39.5422730Z Removing test/torch_compile_debug/
2025-08-26T19:45:39.5422910Z Removing test/torch_np/__pycache__/
2025-08-26T19:45:39.5423110Z Removing tools/__pycache__/
2025-08-26T19:45:39.5423280Z Removing tools/stats/__pycache__/
2025-08-26T19:45:39.5423500Z Removing tools/stats/upload_utilization_stats/__pycache__/
2025-08-26T19:45:39.5423740Z Removing tools/testing/__pycache__/
2025-08-26T19:45:39.5423970Z Removing tools/testing/target_determination/__pycache__/
2025-08-26T19:45:39.5424250Z Removing tools/testing/target_determination/heuristics/__pycache__/
2025-08-26T19:45:39.5424480Z Removing usage_log.txt
2025-08-26T19:45:39.5469230Z ##[group]Run actions/checkout@v4
2025-08-26T19:45:39.5469400Z with:
2025-08-26T19:45:39.5469560Z   ref: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T19:45:39.5469740Z   fetch-depth: 0
2025-08-26T19:45:39.5469870Z   submodules: recursive
2025-08-26T19:45:39.5470010Z   show-progress: false
2025-08-26T19:45:39.5470160Z   repository: pytorch/pytorch
2025-08-26T19:45:39.5470380Z   token: ***
2025-08-26T19:45:39.5470520Z   ssh-strict: true
2025-08-26T19:45:39.5470650Z   ssh-user: git
2025-08-26T19:45:39.5470800Z   persist-credentials: true
2025-08-26T19:45:39.5470960Z   clean: true
2025-08-26T19:45:39.5471100Z   sparse-checkout-cone-mode: true
2025-08-26T19:45:39.5471270Z   fetch-tags: false
2025-08-26T19:45:39.5471410Z   lfs: false
2025-08-26T19:45:39.5471540Z   set-safe-directory: true
2025-08-26T19:45:39.5471680Z env:
2025-08-26T19:45:39.5471800Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:45:39.5471950Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:45:39.5472130Z   TEST_CONFIG: default
2025-08-26T19:45:39.5472260Z   SHARD_NUMBER: 1
2025-08-26T19:45:39.5472420Z   NUM_TEST_SHARDS: 3
2025-08-26T19:45:39.5472550Z   PR_BODY: 
2025-08-26T19:45:39.5472680Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:45:39.5472840Z ##[endgroup]
2025-08-26T19:45:39.6362270Z Syncing repository: pytorch/pytorch
2025-08-26T19:45:39.6363220Z ##[group]Getting Git version info
2025-08-26T19:45:39.6363520Z Working directory is '/Users/ec2-user/runner/_work/pytorch/pytorch'
2025-08-26T19:45:39.6363920Z [command]/usr/bin/git version
2025-08-26T19:45:39.6401680Z git version 2.39.3 (Apple Git-146)
2025-08-26T19:45:39.6414550Z ##[endgroup]
2025-08-26T19:45:39.6419370Z Copying '/Users/ec2-user/.gitconfig' to '/Users/ec2-user/runner/_work/_temp/a0955282-967e-429a-bd4d-c47c04875ed8/.gitconfig'
2025-08-26T19:45:39.6425210Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/a0955282-967e-429a-bd4d-c47c04875ed8' before making global git config changes
2025-08-26T19:45:39.6425800Z Adding repository directory to the temporary git global config as a safe directory
2025-08-26T19:45:39.6432330Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/pytorch/pytorch
2025-08-26T19:45:39.6503230Z [command]/usr/bin/git config --local --get remote.origin.url
2025-08-26T19:45:39.6556950Z https://github.com/pytorch/pytorch
2025-08-26T19:45:39.6577100Z ##[group]Removing previously created refs, to avoid conflicts
2025-08-26T19:45:39.6579670Z [command]/usr/bin/git rev-parse --symbolic-full-name --verify --quiet HEAD
2025-08-26T19:45:39.6645760Z HEAD
2025-08-26T19:45:39.6736700Z ##[endgroup]
2025-08-26T19:45:39.6739120Z [command]/usr/bin/git submodule status
2025-08-26T19:45:39.7436480Z  7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe)
2025-08-26T19:45:39.7678310Z  4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081)
2025-08-26T19:45:39.7879340Z  b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327)
2025-08-26T19:45:39.8157060Z  c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0)
2025-08-26T19:45:39.8468180Z  2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16)
2025-08-26T19:45:39.8705540Z  1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600)
2025-08-26T19:45:40.0346690Z  51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656)
2025-08-26T19:45:40.0615490Z  01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101)
2025-08-26T19:45:40.0756520Z  299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3)
2025-08-26T19:45:40.1353140Z  7fe50dc3da2069d6645d9deb8c017a876472a977 third_party/composable_kernel (rocm-6.4.3-459-g7fe50dc3d)
2025-08-26T19:45:40.1642770Z  3af7f2c16147f3fbc6e4d717032daf505dc1652c third_party/cpp-httplib (v0.20.1)
2025-08-26T19:45:40.1940150Z  5e3d2445e6a84d9599bee2bf78edbb4d80865e1d third_party/cpuinfo (5e3d244)
2025-08-26T19:45:40.2266930Z  f937055efc6d414d11f4c6577e3977fe74f35fb6 third_party/cudnn_frontend (v0.5-52-gf937055)
2025-08-26T19:45:40.2592940Z  e51efbfe18fe4f4cbb66ab814c55bf4aa0185491 third_party/cutlass (v4.1.0)
2025-08-26T19:45:40.3143220Z  21c7d30c526c0f1ad873ecc632dca6cfa8a69067 third_party/fbgemm (v1.3.0-rc1-165-g21c7d30c)
2025-08-26T19:45:40.3372050Z  979702c87a8713a8e0a5e9fee122b90d2ef13be5 third_party/flash-attention (v2.7.4)
2025-08-26T19:45:40.3516370Z  a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757 third_party/flatbuffers (v24.12.23)
2025-08-26T19:45:40.4319630Z  40626af88bd7df9a5fb80be7b25ac85b122d6c21 third_party/fmt (11.2.0)
2025-08-26T19:45:40.4594100Z  3fb5c176c17c765a3492cd2f0321b0dab712f350 third_party/gemmlowp/gemmlowp (remotes/origin/revert-87-master-135-g3fb5c17)
2025-08-26T19:45:40.4979900Z  c7b7b022c124d9643957d9bd55f57ac59fce8fa2 third_party/gloo (remotes/origin/gh/c-p-i-o/1/base-33-gc7b7b02)
2025-08-26T19:45:40.5605270Z  52eb8108c5bdec04579160ae17225d66034bd723 third_party/googletest (release-1.8.0-3544-g52eb8108)
2025-08-26T19:45:40.5925500Z  719d8e6cd7f7a0e01b155657526d693acf97c2b3 third_party/ideep (pytorch-rls-v3.7.1)
2025-08-26T19:45:40.6145190Z  dec1d23ca65ab069d225dfe40dea14f455170959 third_party/ittapi (v3.25.5)
2025-08-26T19:45:40.6574350Z  5e7501833f1021ce6f618572d3baf657b6319658 third_party/kineto (remotes/origin/sraikund/test-98-g5e75018)
2025-08-26T19:45:40.6761500Z  cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7 third_party/kleidiai (v1.8.0)
2025-08-26T19:45:40.6896550Z  fbd8b99c2b828428947d70fdc046bb55609be93e third_party/mimalloc (v2.2.4)
2025-08-26T19:45:40.7061860Z  55f93686c01528224f448c19128836e7df245f72 third_party/nlohmann (v3.12.0)
2025-08-26T19:45:40.8043800Z  e709452ef2bbc1d113faf678c24e6d3467696e83 third_party/onnx (v1.18.0)
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2025-08-26T19:45:41.1854160Z  af0118d13e52f5a08841464a768e01a0bf3e3075 third_party/tensorpipe (heads/main)
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2025-08-26T19:45:42.7720220Z HEAD is now at e7e270a33a3 [pytorch] Merge two nested if statement checks into one (#161387)
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2025-08-26T19:45:44.4591380Z ##[endgroup]
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2025-08-26T19:45:51.8129840Z Previous HEAD position was e7e270a33a3 [pytorch] Merge two nested if statement checks into one (#161387)
2025-08-26T19:45:51.8153280Z HEAD is now at 262640fd220 [ROCm][CI] restore test_flex_attention tests (#161519)
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2025-08-26T19:45:52.2315160Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-08-26T19:45:52.3017990Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
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2025-08-26T19:45:52.3544000Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
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2025-08-26T19:45:52.4863520Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-08-26T19:45:52.6191150Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
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2025-08-26T19:45:52.8474840Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067'
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2025-08-26T19:45:53.3389600Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-08-26T19:45:53.3872210Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-08-26T19:45:53.4368850Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-08-26T19:45:53.4575110Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-08-26T19:45:53.4752090Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-08-26T19:45:53.4925120Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2'
2025-08-26T19:45:53.5131330Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-26T19:45:53.5313230Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-08-26T19:45:53.8007410Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-08-26T19:45:53.8196280Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-08-26T19:45:53.8470740Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-08-26T19:45:53.8890550Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-08-26T19:45:53.9245000Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-08-26T19:45:53.9656910Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-08-26T19:45:54.0243300Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-08-26T19:45:54.0523620Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-08-26T19:45:54.0836910Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-08-26T19:45:54.1212230Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-08-26T19:45:54.1648780Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-08-26T19:45:54.2364300Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-08-26T19:45:54.2643510Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-08-26T19:45:54.3260310Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-08-26T19:45:54.3693540Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-08-26T19:45:54.4102380Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-08-26T19:45:54.4515260Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-08-26T19:45:54.5137750Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-08-26T19:45:54.5634720Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-08-26T19:45:54.6365710Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-26T19:45:54.6844900Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-08-26T19:45:54.7320940Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-08-26T19:45:54.7777590Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-08-26T19:45:54.8121800Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-08-26T19:45:54.8862820Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-08-26T19:45:54.9233230Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-08-26T19:45:54.9472080Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-08-26T19:45:54.9825490Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-08-26T19:45:55.0296420Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-08-26T19:45:55.0727630Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-08-26T19:45:55.2382600Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-08-26T19:45:55.2566300Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-08-26T19:45:55.3070330Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-08-26T19:45:55.3525240Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-08-26T19:45:55.4100770Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-08-26T19:45:55.4281520Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-08-26T19:45:55.4476510Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-08-26T19:45:55.5182660Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-08-26T19:45:55.5342670Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-08-26T19:45:55.5569510Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-08-26T19:45:55.5750620Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075'
2025-08-26T19:45:55.6341180Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-08-26T19:45:55.6576060Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-08-26T19:45:55.7525680Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
2025-08-26T19:45:55.8227630Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-08-26T19:45:55.8462350Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-08-26T19:45:55.8511490Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-08-26T19:45:55.9008630Z Entering 'android/libs/fbjni'
2025-08-26T19:45:55.9093010Z Entering 'third_party/FP16'
2025-08-26T19:45:55.9175960Z Entering 'third_party/FXdiv'
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2025-08-26T19:45:56.0925220Z Entering 'third_party/flash-attention'
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2025-08-26T19:45:56.2658380Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
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2025-08-26T19:45:56.3660120Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T19:45:56.3741740Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T19:45:56.3822830Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T19:45:56.3902590Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T19:45:56.3982200Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T19:45:56.4064090Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T19:45:56.4146370Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T19:45:56.4237450Z Entering 'third_party/pocketfft'
2025-08-26T19:45:56.4321920Z Entering 'third_party/protobuf'
2025-08-26T19:45:56.4403460Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T19:45:56.4485970Z Entering 'third_party/protobuf/third_party/googletest'
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2025-08-26T19:45:56.4732740Z Entering 'third_party/pybind11'
2025-08-26T19:45:56.4814450Z Entering 'third_party/python-peachpy'
2025-08-26T19:45:56.4896460Z Entering 'third_party/sleef'
2025-08-26T19:45:56.4977710Z Entering 'third_party/tensorpipe'
2025-08-26T19:45:56.5059460Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T19:45:56.5140690Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T19:45:56.5220910Z Entering 'third_party/tensorpipe/third_party/libuv'
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2025-08-26T19:45:56.5378850Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T19:45:56.5476110Z ##[endgroup]
2025-08-26T19:45:56.5476380Z ##[group]Persisting credentials for submodules
2025-08-26T19:45:56.5480360Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-08-26T19:45:56.5976350Z Entering 'android/libs/fbjni'
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2025-08-26T19:45:56.8159920Z url.https://github.com/.insteadof
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2025-08-26T19:45:56.8224770Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T19:45:56.8290700Z url.https://github.com/.insteadof
2025-08-26T19:45:56.8290980Z url.https://github.com/.insteadof
2025-08-26T19:45:56.8358980Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T19:45:56.8425930Z url.https://github.com/.insteadof
2025-08-26T19:45:56.8426160Z url.https://github.com/.insteadof
2025-08-26T19:45:56.8492320Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T19:45:56.8556690Z url.https://github.com/.insteadof
2025-08-26T19:45:56.8556900Z url.https://github.com/.insteadof
2025-08-26T19:45:56.8624770Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T19:45:56.8690560Z url.https://github.com/.insteadof
2025-08-26T19:45:56.8690790Z url.https://github.com/.insteadof
2025-08-26T19:45:56.8755150Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T19:45:56.8820530Z url.https://github.com/.insteadof
2025-08-26T19:45:56.8820750Z url.https://github.com/.insteadof
2025-08-26T19:45:56.8885970Z Entering 'third_party/fbgemm/external/json'
2025-08-26T19:45:56.8950970Z url.https://github.com/.insteadof
2025-08-26T19:45:56.8951200Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9018290Z Entering 'third_party/flash-attention'
2025-08-26T19:45:56.9084490Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9084720Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9148520Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T19:45:56.9214810Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9215030Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9283130Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T19:45:56.9348840Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9349070Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9418280Z Entering 'third_party/flatbuffers'
2025-08-26T19:45:56.9484530Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9484750Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9552490Z Entering 'third_party/fmt'
2025-08-26T19:45:56.9619410Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9619910Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9684850Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T19:45:56.9751160Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9751380Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9817540Z Entering 'third_party/gloo'
2025-08-26T19:45:56.9883050Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9883270Z url.https://github.com/.insteadof
2025-08-26T19:45:56.9948350Z Entering 'third_party/googletest'
2025-08-26T19:45:57.0012670Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0012920Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0078800Z Entering 'third_party/ideep'
2025-08-26T19:45:57.0144630Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0144850Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0207950Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T19:45:57.0271660Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0271900Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0341550Z Entering 'third_party/ittapi'
2025-08-26T19:45:57.0408400Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0408630Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0474730Z Entering 'third_party/kineto'
2025-08-26T19:45:57.0542260Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0542500Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0607540Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T19:45:57.0672230Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0672440Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0735120Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T19:45:57.0799660Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0799880Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0865830Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T19:45:57.0929050Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0929290Z url.https://github.com/.insteadof
2025-08-26T19:45:57.0994010Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T19:45:57.1058950Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1059170Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1125240Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T19:45:57.1190800Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1191020Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1255650Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T19:45:57.1319810Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1320040Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1387780Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T19:45:57.1453930Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1454170Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1519660Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T19:45:57.1584370Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1584600Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1649910Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T19:45:57.1715440Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1715660Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1781760Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T19:45:57.1847180Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1847410Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1914060Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T19:45:57.1980530Z url.https://github.com/.insteadof
2025-08-26T19:45:57.1980760Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2046680Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T19:45:57.2112330Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2112570Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2179370Z Entering 'third_party/kleidiai'
2025-08-26T19:45:57.2244560Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2245140Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2310540Z Entering 'third_party/mimalloc'
2025-08-26T19:45:57.2377050Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2377280Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2441510Z Entering 'third_party/nlohmann'
2025-08-26T19:45:57.2507500Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2507720Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2574150Z Entering 'third_party/onnx'
2025-08-26T19:45:57.2638670Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2638900Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2708310Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T19:45:57.2774660Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2774890Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2841290Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T19:45:57.2907310Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2907600Z url.https://github.com/.insteadof
2025-08-26T19:45:57.2971210Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T19:45:57.3035570Z url.https://github.com/.insteadof
2025-08-26T19:45:57.3035800Z url.https://github.com/.insteadof
2025-08-26T19:45:57.3099650Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T19:45:57.3163890Z url.https://github.com/.insteadof
2025-08-26T19:45:57.3164110Z url.https://github.com/.insteadof
2025-08-26T19:45:57.3229240Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T19:45:57.3294910Z url.https://github.com/.insteadof
2025-08-26T19:45:57.3295140Z url.https://github.com/.insteadof
2025-08-26T19:45:57.3359820Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T19:45:57.3425560Z url.https://github.com/.insteadof
2025-08-26T19:45:57.3425790Z url.https://github.com/.insteadof
2025-08-26T19:45:57.3491090Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T19:45:57.3557340Z url.https://github.com/.insteadof
2025-08-26T19:45:57.3557570Z url.https://github.com/.insteadof
2025-08-26T19:45:57.3622620Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T19:45:57.3687300Z url.https://github.com/.insteadof
2025-08-26T19:45:57.3687520Z url.https://github.com/.insteadof
2025-08-26T19:45:57.3753270Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T19:45:57.3818300Z url.https://github.com/.insteadof
2025-08-26T19:45:57.3818710Z url.https://github.com/.insteadof
2025-08-26T19:45:57.3882580Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T19:45:57.3947780Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4014430Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4014790Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T19:45:57.4080280Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4080510Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4148540Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T19:45:57.4213880Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4214110Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4288720Z Entering 'third_party/pocketfft'
2025-08-26T19:45:57.4356620Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4356840Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4421770Z Entering 'third_party/protobuf'
2025-08-26T19:45:57.4487770Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4487980Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4554140Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T19:45:57.4620380Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4620600Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4685460Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T19:45:57.4750520Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4750750Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4818600Z Entering 'third_party/psimd'
2025-08-26T19:45:57.4885730Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4885960Z url.https://github.com/.insteadof
2025-08-26T19:45:57.4952780Z Entering 'third_party/pthreadpool'
2025-08-26T19:45:57.5018330Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5018550Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5084860Z Entering 'third_party/pybind11'
2025-08-26T19:45:57.5151080Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5151320Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5217130Z Entering 'third_party/python-peachpy'
2025-08-26T19:45:57.5282350Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5282570Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5348400Z Entering 'third_party/sleef'
2025-08-26T19:45:57.5414460Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5414700Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5479890Z Entering 'third_party/tensorpipe'
2025-08-26T19:45:57.5546060Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5546280Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5610620Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T19:45:57.5676200Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5676430Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5742620Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T19:45:57.5807490Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5807740Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5873620Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T19:45:57.5939030Z url.https://github.com/.insteadof
2025-08-26T19:45:57.5939260Z url.https://github.com/.insteadof
2025-08-26T19:45:57.6004850Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T19:45:57.6069760Z url.https://github.com/.insteadof
2025-08-26T19:45:57.6070130Z url.https://github.com/.insteadof
2025-08-26T19:45:57.6134300Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T19:45:57.6199230Z url.https://github.com/.insteadof
2025-08-26T19:45:57.6199450Z url.https://github.com/.insteadof
2025-08-26T19:45:57.6279860Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-08-26T19:45:57.6773860Z Entering 'android/libs/fbjni'
2025-08-26T19:45:57.6873990Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-08-26T19:45:57.6908640Z Entering 'third_party/FP16'
2025-08-26T19:45:57.7007180Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-08-26T19:45:57.7041820Z Entering 'third_party/FXdiv'
2025-08-26T19:45:57.7139160Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-08-26T19:45:57.7174090Z Entering 'third_party/NNPACK'
2025-08-26T19:45:57.7272270Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-08-26T19:45:57.7307140Z Entering 'third_party/NVTX'
2025-08-26T19:45:57.7405050Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-08-26T19:45:57.7440320Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T19:45:57.7539100Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-08-26T19:45:57.7573640Z Entering 'third_party/XNNPACK'
2025-08-26T19:45:57.7670950Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-08-26T19:45:57.7710230Z Entering 'third_party/aiter'
2025-08-26T19:45:57.7810060Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-08-26T19:45:57.7843380Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T19:45:57.7940710Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-08-26T19:45:57.7979430Z Entering 'third_party/benchmark'
2025-08-26T19:45:57.8078450Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-08-26T19:45:57.8112940Z Entering 'third_party/composable_kernel'
2025-08-26T19:45:57.8209990Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-08-26T19:45:57.8247110Z Entering 'third_party/cpp-httplib'
2025-08-26T19:45:57.8346250Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-08-26T19:45:57.8381470Z Entering 'third_party/cpuinfo'
2025-08-26T19:45:57.8479740Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-08-26T19:45:57.8519180Z Entering 'third_party/cudnn_frontend'
2025-08-26T19:45:57.8615580Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-08-26T19:45:57.8649500Z Entering 'third_party/cutlass'
2025-08-26T19:45:57.8746890Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-08-26T19:45:57.8784570Z Entering 'third_party/fbgemm'
2025-08-26T19:45:57.8883610Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-08-26T19:45:57.8918410Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T19:45:57.9015240Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-08-26T19:45:57.9048910Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T19:45:57.9147170Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-08-26T19:45:57.9183090Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T19:45:57.9279650Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-08-26T19:45:57.9314450Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T19:45:57.9409770Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-08-26T19:45:57.9447360Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T19:45:57.9545460Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-08-26T19:45:57.9579600Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T19:45:57.9677930Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-08-26T19:45:57.9710600Z Entering 'third_party/fbgemm/external/json'
2025-08-26T19:45:57.9809840Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-08-26T19:45:57.9846020Z Entering 'third_party/flash-attention'
2025-08-26T19:45:57.9942590Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-08-26T19:45:57.9975910Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T19:45:58.0071900Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-08-26T19:45:58.0108590Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T19:45:58.0209100Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
2025-08-26T19:45:58.0252510Z Entering 'third_party/flatbuffers'
2025-08-26T19:45:58.0344850Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-08-26T19:45:58.0380000Z Entering 'third_party/fmt'
2025-08-26T19:45:58.0476120Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2025-08-26T19:45:58.0510290Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T19:45:58.0605630Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2025-08-26T19:45:58.0639890Z Entering 'third_party/gloo'
2025-08-26T19:45:58.0735860Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2025-08-26T19:45:58.0770060Z Entering 'third_party/googletest'
2025-08-26T19:45:58.0865340Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2025-08-26T19:45:58.0899660Z Entering 'third_party/ideep'
2025-08-26T19:45:58.0997180Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2025-08-26T19:45:58.1030110Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T19:45:58.1127640Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2025-08-26T19:45:58.1166170Z Entering 'third_party/ittapi'
2025-08-26T19:45:58.1262080Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2025-08-26T19:45:58.1297590Z Entering 'third_party/kineto'
2025-08-26T19:45:58.1395950Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2025-08-26T19:45:58.1429530Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T19:45:58.1526470Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config	remote.origin.url
2025-08-26T19:45:58.1558380Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T19:45:58.1655720Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config	remote.origin.url
2025-08-26T19:45:58.1690410Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T19:45:58.1786690Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config	remote.origin.url
2025-08-26T19:45:58.1821700Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T19:45:58.1916950Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config	remote.origin.url
2025-08-26T19:45:58.1951470Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T19:45:58.2048760Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config	remote.origin.url
2025-08-26T19:45:58.2080820Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T19:45:58.2178110Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config	remote.origin.url
2025-08-26T19:45:58.2213960Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T19:45:58.2311540Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config	remote.origin.url
2025-08-26T19:45:58.2345840Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T19:45:58.2442120Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config	remote.origin.url
2025-08-26T19:45:58.2476400Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T19:45:58.2573080Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config	remote.origin.url
2025-08-26T19:45:58.2607280Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T19:45:58.2703950Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config	remote.origin.url
2025-08-26T19:45:58.2740570Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T19:45:58.2839160Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2025-08-26T19:45:58.2872440Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T19:45:58.2968480Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2025-08-26T19:45:58.3004960Z Entering 'third_party/kleidiai'
2025-08-26T19:45:58.3102960Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config	remote.origin.url
2025-08-26T19:45:58.3138000Z Entering 'third_party/mimalloc'
2025-08-26T19:45:58.3234510Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config	remote.origin.url
2025-08-26T19:45:58.3268380Z Entering 'third_party/nlohmann'
2025-08-26T19:45:58.3364960Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config	remote.origin.url
2025-08-26T19:45:58.3399060Z Entering 'third_party/onnx'
2025-08-26T19:45:58.3497700Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2025-08-26T19:45:58.3536680Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T19:45:58.3633930Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2025-08-26T19:45:58.3670400Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T19:45:58.3768620Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config	remote.origin.url
2025-08-26T19:45:58.3802480Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T19:45:58.3899160Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
2025-08-26T19:45:58.3933040Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T19:45:58.4029870Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
2025-08-26T19:45:58.4063030Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T19:45:58.4160690Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config	remote.origin.url
2025-08-26T19:45:58.4194170Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T19:45:58.4292140Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config	remote.origin.url
2025-08-26T19:45:58.4327050Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T19:45:58.4424870Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config	remote.origin.url
2025-08-26T19:45:58.4459380Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T19:45:58.4557780Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config	remote.origin.url
2025-08-26T19:45:58.4592270Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T19:45:58.4689750Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config	remote.origin.url
2025-08-26T19:45:58.4722000Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T19:45:58.4818060Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config	remote.origin.url
2025-08-26T19:45:58.4853920Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T19:45:58.4949770Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
2025-08-26T19:45:58.4985820Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T19:45:58.5081640Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config	remote.origin.url
2025-08-26T19:45:58.5123970Z Entering 'third_party/pocketfft'
2025-08-26T19:45:58.5221480Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2025-08-26T19:45:58.5256240Z Entering 'third_party/protobuf'
2025-08-26T19:45:58.5354270Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2025-08-26T19:45:58.5388030Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T19:45:58.5486870Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2025-08-26T19:45:58.5521310Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T19:45:58.5617250Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2025-08-26T19:45:58.5652600Z Entering 'third_party/psimd'
2025-08-26T19:45:58.5748070Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2025-08-26T19:45:58.5781740Z Entering 'third_party/pthreadpool'
2025-08-26T19:45:58.5875460Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2025-08-26T19:45:58.5909060Z Entering 'third_party/pybind11'
2025-08-26T19:45:58.6002050Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2025-08-26T19:45:58.6035520Z Entering 'third_party/python-peachpy'
2025-08-26T19:45:58.6129660Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2025-08-26T19:45:58.6163350Z Entering 'third_party/sleef'
2025-08-26T19:45:58.6258270Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2025-08-26T19:45:58.6292500Z Entering 'third_party/tensorpipe'
2025-08-26T19:45:58.6386950Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2025-08-26T19:45:58.6419490Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T19:45:58.6513850Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2025-08-26T19:45:58.6547200Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T19:45:58.6644180Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2025-08-26T19:45:58.6678160Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T19:45:58.6776100Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2025-08-26T19:45:58.6810540Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T19:45:58.6907920Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2025-08-26T19:45:58.6940340Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T19:45:58.7038800Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2025-08-26T19:45:58.7236790Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
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2025-08-26T19:45:58.7816420Z Entering 'third_party/FP16'
2025-08-26T19:45:58.7899140Z Entering 'third_party/FXdiv'
2025-08-26T19:45:58.7981790Z Entering 'third_party/NNPACK'
2025-08-26T19:45:58.8062210Z Entering 'third_party/NVTX'
2025-08-26T19:45:58.8143950Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T19:45:58.8224870Z Entering 'third_party/XNNPACK'
2025-08-26T19:45:58.8310470Z Entering 'third_party/aiter'
2025-08-26T19:45:58.8392260Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T19:45:58.8478260Z Entering 'third_party/benchmark'
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2025-08-26T19:45:59.4136770Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
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2025-08-26T19:46:00.1036010Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T19:46:00.1113280Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T19:46:00.1207180Z ##[endgroup]
2025-08-26T19:46:00.1280400Z [command]/usr/bin/git log -1 --format=%H
2025-08-26T19:46:00.1341670Z 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T19:46:00.1422120Z Prepare all required actions
2025-08-26T19:46:00.1440950Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-08-26T19:46:00.1441140Z with:
2025-08-26T19:46:00.1441400Z   github-token: ***
2025-08-26T19:46:00.1441520Z env:
2025-08-26T19:46:00.1441630Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:00.1441780Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:00.1441940Z   TEST_CONFIG: default
2025-08-26T19:46:00.1442060Z   SHARD_NUMBER: 1
2025-08-26T19:46:00.1442180Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:00.1442300Z   PR_BODY: 
2025-08-26T19:46:00.1442410Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:00.1442550Z ##[endgroup]
2025-08-26T19:46:00.1451510Z ##[group]Run set -eux
2025-08-26T19:46:00.1451650Z set -eux
2025-08-26T19:46:00.1451900Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-26T19:46:00.1463760Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T19:46:00.1463960Z env:
2025-08-26T19:46:00.1464080Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:00.1464240Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:00.1464500Z   TEST_CONFIG: default
2025-08-26T19:46:00.1464620Z   SHARD_NUMBER: 1
2025-08-26T19:46:00.1464740Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:00.1464860Z   PR_BODY: 
2025-08-26T19:46:00.1464970Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:00.1465200Z   GITHUB_TOKEN: ***
2025-08-26T19:46:00.1465320Z ##[endgroup]
2025-08-26T19:46:00.1666390Z + python3 .github/scripts/get_workflow_job_id.py 17248463647 i-070c7c68d4a390303
2025-08-26T19:46:00.9677500Z Setting output job-id=48945196813
2025-08-26T19:46:00.9680510Z Setting output job-name=macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-26T19:46:00.9986520Z ##[group]Run pytorch/test-infra/.github/actions/setup-python@main
2025-08-26T19:46:00.9987400Z with:
2025-08-26T19:46:00.9987740Z   python-version: 3.12.7
2025-08-26T19:46:00.9988460Z   pip-requirements-file: .github/requirements/pip-requirements-macOS.txt
2025-08-26T19:46:00.9989350Z env:
2025-08-26T19:46:00.9989710Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:00.9990570Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:00.9991280Z   TEST_CONFIG: default
2025-08-26T19:46:00.9991690Z   SHARD_NUMBER: 1
2025-08-26T19:46:00.9992040Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:00.9992480Z   PR_BODY: 
2025-08-26T19:46:00.9992990Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:00.9993460Z ##[endgroup]
2025-08-26T19:46:01.0563810Z Warning: HomeBrew only supports version specified by major and minor, but got 3.12.7
2025-08-26T19:46:01.8155110Z ==> Updating Homebrew...
2025-08-26T19:46:03.2233260Z ==> Homebrew's analytics have entirely moved to our InfluxDB instance in the EU.
2025-08-26T19:46:03.2233720Z We gather less data than before and have destroyed all Google Analytics data:
2025-08-26T19:46:03.2234140Z   https://docs.brew.sh/Analytics
2025-08-26T19:46:03.2234470Z Please reconsider re-enabling analytics to help our volunteer maintainers with:
2025-08-26T19:46:03.2234760Z   brew analytics on
2025-08-26T19:46:03.2447250Z ==> Homebrew is run entirely by unpaid volunteers. Please consider donating:
2025-08-26T19:46:03.2447680Z   https://github.com/Homebrew/brew#donations
2025-08-26T19:46:03.2447860Z 
2025-08-26T19:46:03.8876390Z Already up-to-date.
2025-08-26T19:46:04.9018910Z ##[warning]python@3.12 3.12.11 is already installed and up-to-date.
To reinstall 3.12.11, run:
  brew reinstall python@3.12

2025-08-26T19:46:04.9318090Z Using python at /opt/homebrew/bin/python3.12 to create venv /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:06.2385850Z Installing requirements from .github/requirements/pip-requirements-macOS.txt
2025-08-26T19:46:06.6082170Z Collecting boto3==1.35.42 (from -r .github/requirements/pip-requirements-macOS.txt (line 1))
2025-08-26T19:46:06.6146530Z   Using cached boto3-1.35.42-py3-none-any.whl.metadata (6.7 kB)
2025-08-26T19:46:06.6769770Z Collecting cmake==3.27.* (from -r .github/requirements/pip-requirements-macOS.txt (line 2))
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2025-08-26T19:46:06.6951870Z Collecting expecttest==0.3.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 3))
2025-08-26T19:46:06.6974390Z   Using cached expecttest-0.3.0-py3-none-any.whl.metadata (3.8 kB)
2025-08-26T19:46:06.7096220Z Collecting fbscribelogger==0.1.7 (from -r .github/requirements/pip-requirements-macOS.txt (line 4))
2025-08-26T19:46:06.7109330Z   Using cached fbscribelogger-0.1.7-py3-none-any.whl.metadata (684 bytes)
2025-08-26T19:46:06.7286090Z Collecting filelock==3.18.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 5))
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2025-08-26T19:46:06.8388250Z Collecting hypothesis==6.56.4 (from -r .github/requirements/pip-requirements-macOS.txt (line 6))
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2025-08-26T19:46:06.8726140Z Collecting mpmath==1.3.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 8))
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2025-08-26T19:46:06.8917310Z Collecting networkx==2.8.7 (from -r .github/requirements/pip-requirements-macOS.txt (line 9))
2025-08-26T19:46:06.8937480Z   Using cached networkx-2.8.7-py3-none-any.whl.metadata (5.1 kB)
2025-08-26T19:46:06.9150220Z Collecting ninja==1.10.2.4 (from -r .github/requirements/pip-requirements-macOS.txt (line 10))
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2025-08-26T19:46:06.9791100Z Collecting numba==0.59.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 11))
2025-08-26T19:46:06.9807310Z   Using cached numba-0.59.0-cp312-cp312-macosx_11_0_arm64.whl.metadata (2.7 kB)
2025-08-26T19:46:07.0635750Z Collecting numpy==1.26.4 (from -r .github/requirements/pip-requirements-macOS.txt (line 12))
2025-08-26T19:46:07.0657150Z   Using cached numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl.metadata (61 kB)
2025-08-26T19:46:07.0843910Z Collecting opt-einsum>=3.3 (from -r .github/requirements/pip-requirements-macOS.txt (line 13))
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2025-08-26T19:46:07.1275100Z Collecting optree==0.13.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 14))
2025-08-26T19:46:07.1297200Z   Using cached optree-0.13.0-cp312-cp312-macosx_11_0_arm64.whl.metadata (47 kB)
2025-08-26T19:46:07.1467950Z Collecting packaging==23.1 (from -r .github/requirements/pip-requirements-macOS.txt (line 15))
2025-08-26T19:46:07.1483360Z   Using cached packaging-23.1-py3-none-any.whl.metadata (3.1 kB)
2025-08-26T19:46:07.1581790Z Collecting parameterized==0.8.1 (from -r .github/requirements/pip-requirements-macOS.txt (line 16))
2025-08-26T19:46:07.1601180Z   Using cached parameterized-0.8.1-py2.py3-none-any.whl.metadata (18 kB)
2025-08-26T19:46:07.2433490Z Collecting pillow==10.3.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 17))
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2025-08-26T19:46:07.3237340Z Collecting protobuf==5.29.4 (from -r .github/requirements/pip-requirements-macOS.txt (line 18))
2025-08-26T19:46:07.3254070Z   Using cached protobuf-5.29.4-cp38-abi3-macosx_10_9_universal2.whl.metadata (592 bytes)
2025-08-26T19:46:07.3901060Z Collecting psutil==5.9.8 (from -r .github/requirements/pip-requirements-macOS.txt (line 19))
2025-08-26T19:46:07.3924320Z   Using cached psutil-5.9.8-cp38-abi3-macosx_11_0_arm64.whl.metadata (21 kB)
2025-08-26T19:46:07.4111530Z Collecting pygments==2.15.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 20))
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2025-08-26T19:46:07.4233900Z Collecting pytest-cpp==2.3.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 21))
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2025-08-26T19:46:07.4648970Z Collecting pytest-subtests==0.13.1 (from -r .github/requirements/pip-requirements-macOS.txt (line 24))
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2025-08-26T19:46:11.7522910Z Using cached MarkupSafe-3.0.2-cp312-cp312-macosx_11_0_arm64.whl (12 kB)
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2025-08-26T19:46:12.1325580Z Installing collected packages: z3-solver, sortedcontainers, ply, parameterized, ninja, mpmath, cmake, wheel, urllib3, typing-extensions, tlparse, threadpoolctl, tensorboard-data-server, sympy, six, setuptools, pyyaml, pygments, pycparser, pyasn1, psutil, protobuf, propcache, pluggy, platformdirs, pillow, packaging, opt-einsum, oauthlib, numpy, networkx, multidict, msgpack, MarkupSafe, markdown, lxml, llvmlite, joblib, jmespath, iniconfig, idna, grpcio, frozenlist, filelock, expecttest, execnet, decorator, colorama, charset_normalizer, certifi, cachetools, audioread, attrs, aiohappyeyeballs, absl-py, yarl, xdoctest, werkzeug, unittest-xml-reporting, thriftpy2, soxr, scipy, rsa, requests, python-dateutil, pytest, pyasn1-modules, optree, numba, lazy_loader, hypothesis, cffi, aiosignal, soundfile, scikit-learn, requests-oauthlib, pytest-xdist, pytest-subtests, pytest-rerunfailures, pytest-flakefinder, pytest-cpp, pooch, google-auth, botocore, aiohttp, s3transfer, librosa, google-auth-oauthlib, fbscribelogger, tensorboard, boto3
2025-08-26T19:46:26.5041900Z 
2025-08-26T19:46:26.5081660Z Successfully installed MarkupSafe-3.0.2 absl-py-2.3.1 aiohappyeyeballs-2.6.1 aiohttp-3.12.15 aiosignal-1.4.0 attrs-25.3.0 audioread-3.0.1 boto3-1.35.42 botocore-1.35.99 cachetools-5.5.2 certifi-2025.8.3 cffi-1.17.1 charset_normalizer-3.4.3 cmake-3.27.9 colorama-0.4.6 decorator-5.2.1 execnet-2.1.1 expecttest-0.3.0 fbscribelogger-0.1.7 filelock-3.18.0 frozenlist-1.7.0 google-auth-2.40.3 google-auth-oauthlib-1.0.0 grpcio-1.74.0 hypothesis-6.56.4 idna-3.10 iniconfig-2.1.0 jmespath-1.0.1 joblib-1.5.1 lazy_loader-0.4 librosa-0.11.0 llvmlite-0.42.0 lxml-6.0.1 markdown-3.8.2 mpmath-1.3.0 msgpack-1.1.1 multidict-6.6.4 networkx-2.8.7 ninja-1.10.2.4 numba-0.59.0 numpy-1.26.4 oauthlib-3.3.1 opt-einsum-3.4.0 optree-0.13.0 packaging-23.1 parameterized-0.8.1 pillow-10.3.0 platformdirs-4.4.0 pluggy-1.6.0 ply-3.11 pooch-1.8.2 propcache-0.3.2 protobuf-5.29.4 psutil-5.9.8 pyasn1-0.6.1 pyasn1-modules-0.4.2 pycparser-2.22 pygments-2.15.0 pytest-7.3.2 pytest-cpp-2.3.0 pytest-flakefinder-1.1.0 pytest-rerunfailures-10.3 pytest-subtests-0.13.1 pytest-xdist-3.3.1 python-dateutil-2.9.0.post0 pyyaml-6.0.2 requests-2.32.5 requests-oauthlib-2.0.0 rsa-4.9.1 s3transfer-0.10.4 scikit-learn-1.7.1 scipy-1.12.0 setuptools-72.1.0 six-1.17.0 sortedcontainers-2.4.0 soundfile-0.13.1 soxr-0.5.0.post1 sympy-1.13.3 tensorboard-2.13.0 tensorboard-data-server-0.7.2 threadpoolctl-3.6.0 thriftpy2-0.5.3 tlparse-0.3.30 typing-extensions-4.12.2 unittest-xml-reporting-3.2.0 urllib3-2.5.0 werkzeug-3.1.3 wheel-0.45.1 xdoctest-1.1.0 yarl-1.20.1 z3-solver-4.15.1.0
2025-08-26T19:46:26.5434670Z 
2025-08-26T19:46:26.5435070Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-08-26T19:46:26.5436190Z [notice] To update, run: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python -m pip install --upgrade pip
2025-08-26T19:46:27.1712860Z ##[group]Run "$VENV_PATH/bin/python3" -m pip install psutil==5.9.8 dataclasses_json==0.6.7
2025-08-26T19:46:27.1713270Z "$VENV_PATH/bin/python3" -m pip install psutil==5.9.8 dataclasses_json==0.6.7
2025-08-26T19:46:27.1713850Z "$VENV_PATH/bin/python3" -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-08-26T19:46:27.1714470Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-08-26T19:46:27.1750100Z shell: /bin/bash -e -l {0}
2025-08-26T19:46:27.1750250Z env:
2025-08-26T19:46:27.1750360Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:27.1750510Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:27.1750670Z   TEST_CONFIG: default
2025-08-26T19:46:27.1750800Z   SHARD_NUMBER: 1
2025-08-26T19:46:27.1750920Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:27.1751030Z   PR_BODY: 
2025-08-26T19:46:27.1751150Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:27.1751380Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:27.1751600Z   JOB_ID: 48945196813
2025-08-26T19:46:27.1751790Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-26T19:46:27.1752010Z   WORKFLOW_NAME: trunk
2025-08-26T19:46:27.1752150Z   WORKFLOW_RUN_ID: 17248463647
2025-08-26T19:46:27.1752290Z   MONITOR_LOG_INTERVAL: 5
2025-08-26T19:46:27.1752540Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-08-26T19:46:27.1752690Z ##[endgroup]
2025-08-26T19:46:27.3632440Z Requirement already satisfied: psutil==5.9.8 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (5.9.8)
2025-08-26T19:46:27.3901060Z Collecting dataclasses_json==0.6.7
2025-08-26T19:46:27.3916290Z   Using cached dataclasses_json-0.6.7-py3-none-any.whl.metadata (25 kB)
2025-08-26T19:46:27.4190950Z Collecting marshmallow<4.0.0,>=3.18.0 (from dataclasses_json==0.6.7)
2025-08-26T19:46:27.4206030Z   Using cached marshmallow-3.26.1-py3-none-any.whl.metadata (7.3 kB)
2025-08-26T19:46:27.4317020Z Collecting typing-inspect<1,>=0.4.0 (from dataclasses_json==0.6.7)
2025-08-26T19:46:27.4330100Z   Using cached typing_inspect-0.9.0-py3-none-any.whl.metadata (1.5 kB)
2025-08-26T19:46:27.4364630Z Requirement already satisfied: packaging>=17.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (23.1)
2025-08-26T19:46:27.4438190Z Collecting mypy-extensions>=0.3.0 (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7)
2025-08-26T19:46:27.4451460Z   Using cached mypy_extensions-1.1.0-py3-none-any.whl.metadata (1.1 kB)
2025-08-26T19:46:27.4482760Z Requirement already satisfied: typing-extensions>=3.7.4 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.12.2)
2025-08-26T19:46:27.4507620Z Using cached dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-08-26T19:46:27.4525570Z Using cached marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-08-26T19:46:27.4547160Z Using cached typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-08-26T19:46:27.4570860Z Using cached mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-08-26T19:46:27.5341350Z Installing collected packages: mypy-extensions, marshmallow, typing-inspect, dataclasses_json
2025-08-26T19:46:27.5802380Z 
2025-08-26T19:46:27.5839430Z Successfully installed dataclasses_json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 typing-inspect-0.9.0
2025-08-26T19:46:27.5862110Z 
2025-08-26T19:46:27.5862350Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-08-26T19:46:27.5862650Z [notice] To update, run: pip install --upgrade pip
2025-08-26T19:46:27.6226810Z Prepare all required actions
2025-08-26T19:46:27.6227070Z Getting action download info
2025-08-26T19:46:27.7424350Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-08-26T19:46:27.9763020Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-08-26T19:46:28.1977530Z ##[group]Run ./.github/actions/download-build-artifacts
2025-08-26T19:46:28.1977820Z with:
2025-08-26T19:46:28.1977960Z   name: macos-py3-arm64
2025-08-26T19:46:28.1978110Z   use-gha: true
2025-08-26T19:46:28.1978250Z   s3-bucket: gha-artifacts
2025-08-26T19:46:28.1978410Z env:
2025-08-26T19:46:28.1978570Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:28.1978860Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:28.1979040Z   TEST_CONFIG: default
2025-08-26T19:46:28.1979190Z   SHARD_NUMBER: 1
2025-08-26T19:46:28.1979340Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:28.1979480Z   PR_BODY: 
2025-08-26T19:46:28.1979640Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:28.1979880Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:28.1980120Z ##[endgroup]
2025-08-26T19:46:28.2016180Z ##[group]Run actions/download-artifact@v4
2025-08-26T19:46:28.2016350Z with:
2025-08-26T19:46:28.2016460Z   name: macos-py3-arm64
2025-08-26T19:46:28.2016600Z   merge-multiple: false
2025-08-26T19:46:28.2016740Z   repository: pytorch/pytorch
2025-08-26T19:46:28.2016880Z   run-id: 17248463647
2025-08-26T19:46:28.2017000Z env:
2025-08-26T19:46:28.2017100Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:28.2017270Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:28.2017440Z   TEST_CONFIG: default
2025-08-26T19:46:28.2017650Z   SHARD_NUMBER: 1
2025-08-26T19:46:28.2017770Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:28.2017910Z   PR_BODY: 
2025-08-26T19:46:28.2018020Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:28.2018240Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:28.2018470Z ##[endgroup]
2025-08-26T19:46:28.3337990Z Downloading single artifact
2025-08-26T19:46:28.4135270Z Preparing to download the following artifacts:
2025-08-26T19:46:28.4135910Z - macos-py3-arm64 (ID: 3857099557, Size: 69713866, Expected Digest: sha256:be637182a73eca89923bb4fb9fca6e4f7398ab5128ebfd72f7f69a5e49d15b46)
2025-08-26T19:46:28.4769910Z Redirecting to blob download url: https://productionresultssa8.blob.core.windows.net/actions-results/403c8e96-de86-4002-bfa2-f61cede70191/workflow-job-run-57c1cb3e-7c9f-5a0f-81fd-8b6b1acfdaf2/artifacts/e6751562b1f6f20bcd6ad8a8dad1f3c02045e3fad46dd739dee73dcfde9461bb.zip
2025-08-26T19:46:28.4772060Z Starting download of artifact to: /Users/ec2-user/runner/_work/pytorch/pytorch
2025-08-26T19:46:28.5810630Z (node:77583) [DEP0005] DeprecationWarning: Buffer() is deprecated due to security and usability issues. Please use the Buffer.alloc(), Buffer.allocUnsafe(), or Buffer.from() methods instead.
2025-08-26T19:46:28.5819320Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-08-26T19:46:29.3513430Z SHA256 digest of downloaded artifact is be637182a73eca89923bb4fb9fca6e4f7398ab5128ebfd72f7f69a5e49d15b46
2025-08-26T19:46:29.3513870Z Artifact download completed successfully.
2025-08-26T19:46:29.3514110Z Total of 1 artifact(s) downloaded
2025-08-26T19:46:29.3517710Z Download artifact has finished successfully
2025-08-26T19:46:29.3563300Z ##[group]Run unzip -o artifacts.zip
2025-08-26T19:46:29.3563540Z unzip -o artifacts.zip
2025-08-26T19:46:29.3575960Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T19:46:29.3576190Z env:
2025-08-26T19:46:29.3576320Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:29.3576500Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:29.3576700Z   TEST_CONFIG: default
2025-08-26T19:46:29.3576850Z   SHARD_NUMBER: 1
2025-08-26T19:46:29.3576980Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:29.3577140Z   PR_BODY: 
2025-08-26T19:46:29.3577280Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:29.3577860Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:29.3578110Z ##[endgroup]
2025-08-26T19:46:29.3857030Z Archive:  artifacts.zip
2025-08-26T19:46:29.3857330Z    creating: dist/
2025-08-26T19:46:29.9193520Z   inflating: dist/torch-2.9.0a0+git262640f-cp312-cp312-macosx_11_0_arm64.whl  
2025-08-26T19:46:29.9317480Z   inflating: build/.ninja_log        
2025-08-26T19:46:29.9845390Z   inflating: build/compile_commands.json  
2025-08-26T19:46:29.9845750Z    creating: .additional_ci_files/
2025-08-26T19:46:29.9914300Z   inflating: .additional_ci_files/test-times.json  
2025-08-26T19:46:30.0231860Z   inflating: .additional_ci_files/test-class-times.json  
2025-08-26T19:46:30.0253080Z ##[group]Run rm artifacts.zip
2025-08-26T19:46:30.0253450Z rm artifacts.zip
2025-08-26T19:46:30.0266310Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T19:46:30.0266530Z env:
2025-08-26T19:46:30.0266670Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:30.0266880Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:30.0267080Z   TEST_CONFIG: default
2025-08-26T19:46:30.0267220Z   SHARD_NUMBER: 1
2025-08-26T19:46:30.0267350Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:30.0267520Z   PR_BODY: 
2025-08-26T19:46:30.0267650Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:30.0267890Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:30.0268140Z ##[endgroup]
2025-08-26T19:46:30.0514210Z ##[group]Run df -H
2025-08-26T19:46:30.0514450Z df -H
2025-08-26T19:46:30.0526830Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T19:46:30.0527050Z env:
2025-08-26T19:46:30.0527200Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:30.0527480Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:30.0527670Z   TEST_CONFIG: default
2025-08-26T19:46:30.0527820Z   SHARD_NUMBER: 1
2025-08-26T19:46:30.0527960Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:30.0528110Z   PR_BODY: 
2025-08-26T19:46:30.0528250Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:30.0528530Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:30.0528790Z ##[endgroup]
2025-08-26T19:46:30.0764170Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-08-26T19:46:30.0764640Z /dev/disk5s2s1    275G     10G    181G     6%    404k  1.8G    0%   /
2025-08-26T19:46:30.0764980Z devfs             222k    222k      0B   100%     752     0  100%   /dev
2025-08-26T19:46:30.0765330Z /dev/disk5s5      275G   2148M    181G     2%       2  1.8G    0%   /System/Volumes/VM
2025-08-26T19:46:30.0765700Z /dev/disk5s3      275G   6122M    181G     4%    1.0k  1.8G    0%   /System/Volumes/Preboot
2025-08-26T19:46:30.0766090Z /dev/disk1s2      524M   6312k    406M     2%       1  4.0M    0%   /System/Volumes/xarts
2025-08-26T19:46:30.0766700Z /dev/disk1s1      524M     56M    406M    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-08-26T19:46:30.0767070Z /dev/disk1s3      524M    889k    406M     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-08-26T19:46:30.0767480Z /dev/disk5s1      275G     75G    181G    30%    3.9M  1.8G    0%   /System/Volumes/Data
2025-08-26T19:46:30.0767820Z map auto_home       0B      0B      0B   100%       0     0     -   /System/Volumes/Data/home
2025-08-26T19:46:30.0768200Z /dev/disk3s4      245G    123k    226G     1%      18  2.2G    0%   /private/tmp/tmp-mount-Y4iZbF
2025-08-26T19:46:30.0802330Z Prepare all required actions
2025-08-26T19:46:30.0802940Z Getting action download info
2025-08-26T19:46:30.3027750Z ##[group]Run ./.github/actions/download-td-artifacts
2025-08-26T19:46:30.3029150Z with:
2025-08-26T19:46:30.3029680Z   use-gha: true
2025-08-26T19:46:30.3030180Z env:
2025-08-26T19:46:30.3030670Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:30.3031450Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:30.3032160Z   TEST_CONFIG: default
2025-08-26T19:46:30.3032710Z   SHARD_NUMBER: 1
2025-08-26T19:46:30.3033310Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:30.3033840Z   PR_BODY: 
2025-08-26T19:46:30.3034390Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:30.3035370Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:30.3036320Z ##[endgroup]
2025-08-26T19:46:30.3111160Z ##[group]Run actions/download-artifact@v4
2025-08-26T19:46:30.3111740Z with:
2025-08-26T19:46:30.3112100Z   name: td_results.json
2025-08-26T19:46:30.3112610Z   merge-multiple: false
2025-08-26T19:46:30.3113110Z   repository: pytorch/pytorch
2025-08-26T19:46:30.3113590Z   run-id: 17248463647
2025-08-26T19:46:30.3114000Z env:
2025-08-26T19:46:30.3114400Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:30.3114910Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:30.3115440Z   TEST_CONFIG: default
2025-08-26T19:46:30.3115930Z   SHARD_NUMBER: 1
2025-08-26T19:46:30.3116510Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:30.3116950Z   PR_BODY: 
2025-08-26T19:46:30.3117330Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:30.3118040Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:30.3118780Z ##[endgroup]
2025-08-26T19:46:30.4577220Z Downloading single artifact
2025-08-26T19:46:30.5381660Z Preparing to download the following artifacts:
2025-08-26T19:46:30.5382280Z - td_results.json (ID: 3857166815, Size: 19079, Expected Digest: sha256:2f68750a89e7b270519f4979f3036560a8a2ba5e8f36245dfaf2dad36f5977a5)
2025-08-26T19:46:30.5937940Z Redirecting to blob download url: https://productionresultssa8.blob.core.windows.net/actions-results/403c8e96-de86-4002-bfa2-f61cede70191/workflow-job-run-2fe2b9a5-0d1b-5105-86b4-1119fd4c7ae4/artifacts/adc6e1455d65305bef307fe59db64c62b28fcb8f1e044d47ac9f5a2f27485441.zip
2025-08-26T19:46:30.5939910Z Starting download of artifact to: /Users/ec2-user/runner/_work/pytorch/pytorch
2025-08-26T19:46:30.6407110Z (node:77590) [DEP0005] DeprecationWarning: Buffer() is deprecated due to security and usability issues. Please use the Buffer.alloc(), Buffer.allocUnsafe(), or Buffer.from() methods instead.
2025-08-26T19:46:30.6408980Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-08-26T19:46:30.6473390Z SHA256 digest of downloaded artifact is 2f68750a89e7b270519f4979f3036560a8a2ba5e8f36245dfaf2dad36f5977a5
2025-08-26T19:46:30.6474230Z Artifact download completed successfully.
2025-08-26T19:46:30.6474710Z Total of 1 artifact(s) downloaded
2025-08-26T19:46:30.6480500Z Download artifact has finished successfully
2025-08-26T19:46:30.6550290Z ##[group]Run mkdir -p .additional_ci_files
2025-08-26T19:46:30.6550780Z mkdir -p .additional_ci_files
2025-08-26T19:46:30.6551380Z mv td_results.json .additional_ci_files/td_results.json || true
2025-08-26T19:46:30.6575310Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T19:46:30.6575730Z env:
2025-08-26T19:46:30.6575990Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:30.6576330Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:30.6576690Z   TEST_CONFIG: default
2025-08-26T19:46:30.6576970Z   SHARD_NUMBER: 1
2025-08-26T19:46:30.6577270Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:30.6577540Z   PR_BODY: 
2025-08-26T19:46:30.6577810Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:30.6578260Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:30.6578710Z ##[endgroup]
2025-08-26T19:46:30.6910830Z ##[group]Run .github/scripts/parse_ref.py
2025-08-26T19:46:30.6911210Z .github/scripts/parse_ref.py
2025-08-26T19:46:30.6925160Z shell: /bin/bash -e -l {0}
2025-08-26T19:46:30.6925360Z env:
2025-08-26T19:46:30.6925520Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:30.6925730Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:30.6925960Z   TEST_CONFIG: default
2025-08-26T19:46:30.6926140Z   SHARD_NUMBER: 1
2025-08-26T19:46:30.6926310Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:30.6926500Z   PR_BODY: 
2025-08-26T19:46:30.6926670Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:30.6926950Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:30.6927230Z ##[endgroup]
2025-08-26T19:46:30.7609760Z Setting output branch=main
2025-08-26T19:46:30.7695280Z Prepare all required actions
2025-08-26T19:46:30.7695510Z Getting action download info
2025-08-26T19:46:30.8777020Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-08-26T19:46:31.0750280Z ##[group]Run ./.github/actions/filter-test-configs
2025-08-26T19:46:31.0750600Z with:
2025-08-26T19:46:31.0750910Z   github-token: ***
2025-08-26T19:46:31.0751730Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}
2025-08-26T19:46:31.0752730Z   job-name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-26T19:46:31.0753020Z env:
2025-08-26T19:46:31.0753180Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:31.0753360Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:31.0753560Z   TEST_CONFIG: default
2025-08-26T19:46:31.0753710Z   SHARD_NUMBER: 1
2025-08-26T19:46:31.0753870Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:31.0754030Z   PR_BODY: 
2025-08-26T19:46:31.0754170Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:31.0754420Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:31.0754690Z ##[endgroup]
2025-08-26T19:46:31.0777590Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T19:46:31.0777800Z with:
2025-08-26T19:46:31.0777920Z   shell: bash
2025-08-26T19:46:31.0778070Z   timeout_minutes: 10
2025-08-26T19:46:31.0778220Z   max_attempts: 5
2025-08-26T19:46:31.0778500Z   retry_wait_seconds: 30
2025-08-26T19:46:31.0778990Z   command: set -eux
# PyYAML 6.0 doesn't work with MacOS x86 anymore
# This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2
python3 -m pip install requests==2.27.1 pyyaml==6.0.2

2025-08-26T19:46:31.0779530Z   polling_interval_seconds: 1
2025-08-26T19:46:31.0779720Z   warning_on_retry: true
2025-08-26T19:46:31.0779900Z   continue_on_error: false
2025-08-26T19:46:31.0780060Z env:
2025-08-26T19:46:31.0780180Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:31.0780390Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:31.0780580Z   TEST_CONFIG: default
2025-08-26T19:46:31.0780740Z   SHARD_NUMBER: 1
2025-08-26T19:46:31.0780880Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:31.0781040Z   PR_BODY: 
2025-08-26T19:46:31.0781180Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:31.0781430Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:31.0781780Z   GITHUB_TOKEN: ***
2025-08-26T19:46:31.0781930Z ##[endgroup]
2025-08-26T19:46:31.1450420Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-08-26T19:46:31.3377270Z Collecting requests==2.27.1
2025-08-26T19:46:31.3398010Z   Using cached requests-2.27.1-py2.py3-none-any.whl.metadata (5.0 kB)
2025-08-26T19:46:31.3451340Z Requirement already satisfied: pyyaml==6.0.2 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (6.0.2)
2025-08-26T19:46:31.3567230Z Collecting urllib3<1.27,>=1.21.1 (from requests==2.27.1)
2025-08-26T19:46:31.3581860Z   Using cached urllib3-1.26.20-py2.py3-none-any.whl.metadata (50 kB)
2025-08-26T19:46:31.3658880Z Requirement already satisfied: certifi>=2017.4.17 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from requests==2.27.1) (2025.8.3)
2025-08-26T19:46:31.4051130Z Collecting charset-normalizer~=2.0.0 (from requests==2.27.1)
2025-08-26T19:46:31.4070860Z   Using cached charset_normalizer-2.0.12-py3-none-any.whl.metadata (11 kB)
2025-08-26T19:46:31.4114910Z Requirement already satisfied: idna<4,>=2.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from requests==2.27.1) (3.10)
2025-08-26T19:46:31.4147520Z Using cached requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-08-26T19:46:31.4174080Z Using cached charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-08-26T19:46:31.4192190Z Using cached urllib3-1.26.20-py2.py3-none-any.whl (144 kB)
2025-08-26T19:46:31.4972500Z Installing collected packages: urllib3, charset-normalizer, requests
2025-08-26T19:46:31.4975170Z   Attempting uninstall: urllib3
2025-08-26T19:46:31.4987350Z     Found existing installation: urllib3 2.5.0
2025-08-26T19:46:31.5011720Z     Uninstalling urllib3-2.5.0:
2025-08-26T19:46:31.5020490Z       Successfully uninstalled urllib3-2.5.0
2025-08-26T19:46:31.5480840Z   Attempting uninstall: charset-normalizer
2025-08-26T19:46:31.5501830Z     Found existing installation: charset-normalizer 3.4.3
2025-08-26T19:46:31.5520610Z     Uninstalling charset-normalizer-3.4.3:
2025-08-26T19:46:31.5529910Z       Successfully uninstalled charset-normalizer-3.4.3
2025-08-26T19:46:31.5715600Z   Attempting uninstall: requests
2025-08-26T19:46:31.5729610Z     Found existing installation: requests 2.32.5
2025-08-26T19:46:31.5744960Z     Uninstalling requests-2.32.5:
2025-08-26T19:46:31.5750530Z       Successfully uninstalled requests-2.32.5
2025-08-26T19:46:31.5981940Z 
2025-08-26T19:46:31.6017210Z Successfully installed charset-normalizer-2.0.12 requests-2.27.1 urllib3-1.26.20
2025-08-26T19:46:31.6039200Z 
2025-08-26T19:46:31.6039480Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-08-26T19:46:31.6039790Z [notice] To update, run: pip install --upgrade pip
2025-08-26T19:46:32.1465140Z Command completed after 1 attempt(s).
2025-08-26T19:46:32.1535870Z ##[group]Run set -x
2025-08-26T19:46:32.1536160Z set -x
2025-08-26T19:46:32.1536420Z 
2025-08-26T19:46:32.1536860Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-26T19:46:32.1537580Z # in runner workspace
2025-08-26T19:46:32.1538040Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-08-26T19:46:32.1560360Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T19:46:32.1560790Z env:
2025-08-26T19:46:32.1561040Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:32.1561390Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:32.1561740Z   TEST_CONFIG: default
2025-08-26T19:46:32.1562010Z   SHARD_NUMBER: 1
2025-08-26T19:46:32.1562270Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:32.1562520Z   PR_BODY: 
2025-08-26T19:46:32.1562830Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:32.1563280Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:32.1563750Z ##[endgroup]
2025-08-26T19:46:32.1835390Z + python3 /Users/ec2-user/runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-08-26T19:46:32.1998360Z Setting output branch=main
2025-08-26T19:46:32.2053130Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-26T19:46:32.2053400Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-26T19:46:32.2053630Z echo "Job name: ${JOB_NAME}"
2025-08-26T19:46:32.2053810Z 
2025-08-26T19:46:32.2054080Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-26T19:46:32.2054380Z # in runner workspace
2025-08-26T19:46:32.2054680Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-08-26T19:46:32.2054980Z   --workflow "${GITHUB_WORKFLOW}" \
2025-08-26T19:46:32.2055200Z   --job-name "${JOB_NAME}" \
2025-08-26T19:46:32.2056030Z   --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}" \
2025-08-26T19:46:32.2056860Z   --selected-test-configs "" \
2025-08-26T19:46:32.2057080Z   --pr-number "${PR_NUMBER}" \
2025-08-26T19:46:32.2057500Z   --tag "${TAG}" \
2025-08-26T19:46:32.2057690Z   --event-name "${EVENT_NAME}" \
2025-08-26T19:46:32.2057900Z   --schedule "${SCHEDULE}" \
2025-08-26T19:46:32.2058110Z   --branch "${HEAD_BRANCH}"
2025-08-26T19:46:32.2070190Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T19:46:32.2070430Z env:
2025-08-26T19:46:32.2070560Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:32.2070740Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:32.2070940Z   TEST_CONFIG: default
2025-08-26T19:46:32.2071090Z   SHARD_NUMBER: 1
2025-08-26T19:46:32.2071240Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:32.2071380Z   PR_BODY: 
2025-08-26T19:46:32.2071530Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:32.2071780Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:32.2072300Z   GITHUB_TOKEN: ***
2025-08-26T19:46:32.2072550Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-26T19:46:32.2072800Z   PR_NUMBER: 
2025-08-26T19:46:32.2072930Z   TAG: 
2025-08-26T19:46:32.2073050Z   EVENT_NAME: push
2025-08-26T19:46:32.2073210Z   SCHEDULE: 
2025-08-26T19:46:32.2073330Z   HEAD_BRANCH: main
2025-08-26T19:46:32.2073490Z ##[endgroup]
2025-08-26T19:46:32.2275180Z Workflow: trunk
2025-08-26T19:46:32.2275510Z Job name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-26T19:46:32.4891850Z Setting output keep-going=True
2025-08-26T19:46:32.4892190Z Setting output ci-verbose-test-logs=False
2025-08-26T19:46:32.4892480Z Setting output ci-test-showlocals=False
2025-08-26T19:46:32.4892750Z Setting output ci-no-test-timeout=False
2025-08-26T19:46:32.4893030Z Setting output ci-no-td=False
2025-08-26T19:46:32.4893270Z Setting output ci-td-distributed=False
2025-08-26T19:46:32.4893810Z Setting output is-unstable=False
2025-08-26T19:46:32.4894050Z Setting output reenabled-issues=
2025-08-26T19:46:32.4895170Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}
2025-08-26T19:46:32.4896290Z Setting output is-test-matrix-empty=False
2025-08-26T19:46:32.5006560Z ##[group]Run echo "Filtered matrix:"
2025-08-26T19:46:32.5006810Z echo "Filtered matrix:"
2025-08-26T19:46:32.5007740Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}"
2025-08-26T19:46:32.5008650Z 
2025-08-26T19:46:32.5008810Z echo
2025-08-26T19:46:32.5009010Z echo "Is the current job unstable? False"
2025-08-26T19:46:32.5009260Z 
2025-08-26T19:46:32.5009400Z echo
2025-08-26T19:46:32.5009590Z echo "Is keep-going label set? True"
2025-08-26T19:46:32.5009820Z 
2025-08-26T19:46:32.5009970Z echo
2025-08-26T19:46:32.5010130Z echo "Reenabled issues? "
2025-08-26T19:46:32.5023070Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T19:46:32.5023320Z env:
2025-08-26T19:46:32.5023450Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:32.5023640Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:32.5023850Z   TEST_CONFIG: default
2025-08-26T19:46:32.5024000Z   SHARD_NUMBER: 1
2025-08-26T19:46:32.5024150Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:32.5024290Z   PR_BODY: 
2025-08-26T19:46:32.5024450Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:32.5024710Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:32.5025170Z ##[endgroup]
2025-08-26T19:46:32.5229410Z Filtered matrix:
2025-08-26T19:46:32.5230310Z {include: [{config: default, shard: 1, num_shards: 3, runner: macos-m1-stable}, {config: default, shard: 2, num_shards: 3, runner: macos-m1-stable}, {config: default, shard: 3, num_shards: 3, runner: macos-m1-stable}, {config: mps, shard: 1, num_shards: 1, runner: macos-m1-14}, {config: mps, shard: 1, num_shards: 1, runner: macos-m2-15}]}
2025-08-26T19:46:32.5231130Z 
2025-08-26T19:46:32.5231220Z Is the current job unstable? False
2025-08-26T19:46:32.5231360Z 
2025-08-26T19:46:32.5231480Z Is keep-going label set? True
2025-08-26T19:46:32.5231600Z 
2025-08-26T19:46:32.5231670Z Reenabled issues? 
2025-08-26T19:46:32.5265220Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-26T19:46:32.5265620Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-26T19:46:32.5277250Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T19:46:32.5277470Z env:
2025-08-26T19:46:32.5277610Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:32.5277790Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:32.5277990Z   TEST_CONFIG: default
2025-08-26T19:46:32.5278160Z   SHARD_NUMBER: 1
2025-08-26T19:46:32.5278300Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:32.5278450Z   PR_BODY: 
2025-08-26T19:46:32.5278580Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:32.5278840Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:32.5279080Z   JOB_TIMEOUT: 270
2025-08-26T19:46:32.5279230Z ##[endgroup]
2025-08-26T19:46:32.5518380Z ##[group]Run # shellcheck disable=SC1090
2025-08-26T19:46:32.5518710Z # shellcheck disable=SC1090
2025-08-26T19:46:32.5518890Z set -ex
2025-08-26T19:46:32.5519140Z 
2025-08-26T19:46:32.5519330Z # TODO: Remove me later, and properly activate venv
2025-08-26T19:46:32.5519570Z PATH="$VENV_PATH/bin:$PATH"
2025-08-26T19:46:32.5519770Z export PATH
2025-08-26T19:46:32.5519930Z 
2025-08-26T19:46:32.5520130Z # Print out some information about the test environment
2025-08-26T19:46:32.5520390Z for tool in python3 python; do
2025-08-26T19:46:32.5520590Z   which $tool
2025-08-26T19:46:32.5520760Z   $tool --version
2025-08-26T19:46:32.5520930Z done
2025-08-26T19:46:32.5521070Z 
2025-08-26T19:46:32.5521270Z python3 -mpip install --no-index --no-deps dist/*.whl
2025-08-26T19:46:32.5521510Z 
2025-08-26T19:46:32.5521670Z set +e
2025-08-26T19:46:32.5521830Z pushd "${RUNNER_TEMP}"
2025-08-26T19:46:32.5522130Z # Install pip dependencies if they are not found. This is to mitigate a peculiar
2025-08-26T19:46:32.5522460Z # flaky missing dependencies on MacOS
2025-08-26T19:46:32.5522680Z python3 -c "import torch"
2025-08-26T19:46:32.5522870Z RC=$?
2025-08-26T19:46:32.5523010Z popd
2025-08-26T19:46:32.5523150Z 
2025-08-26T19:46:32.5523280Z if [ "${RC}" -ne 0 ]; then
2025-08-26T19:46:32.5523580Z   python3 -mpip install --ignore-installed -r "${PIP_REQUIREMENTS_FILE}"
2025-08-26T19:46:32.5523860Z fi
2025-08-26T19:46:32.5523980Z set -e
2025-08-26T19:46:32.5524140Z 
2025-08-26T19:46:32.5524270Z .ci/pytorch/macos-test.sh
2025-08-26T19:46:32.5535830Z shell: /bin/bash -e -l {0}
2025-08-26T19:46:32.5535990Z env:
2025-08-26T19:46:32.5536110Z   GIT_DEFAULT_BRANCH: main
2025-08-26T19:46:32.5536310Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T19:46:32.5536500Z   TEST_CONFIG: default
2025-08-26T19:46:32.5536660Z   SHARD_NUMBER: 1
2025-08-26T19:46:32.5536800Z   NUM_TEST_SHARDS: 3
2025-08-26T19:46:32.5536960Z   PR_BODY: 
2025-08-26T19:46:32.5537120Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T19:46:32.5537380Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:46:32.5537640Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-08-26T19:46:32.5537840Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-08-26T19:46:32.5538050Z   CONTINUE_THROUGH_ERROR: True
2025-08-26T19:46:32.5538230Z   VERBOSE_TEST_LOGS: False
2025-08-26T19:46:32.5538410Z   TEST_SHOWLOCALS: False
2025-08-26T19:46:32.5538570Z   NO_TEST_TIMEOUT: False
2025-08-26T19:46:32.5538730Z   NO_TD: False
2025-08-26T19:46:32.5538960Z   PIP_REQUIREMENTS_FILE: .github/requirements/pip-requirements-macOS.txt
2025-08-26T19:46:32.5539250Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-08-26T19:46:32.5539460Z   GITHUB_WORKFLOW: trunk
2025-08-26T19:46:32.5539620Z   GITHUB_JOB: test
2025-08-26T19:46:32.5539780Z   GITHUB_RUN_ID: 17248463647
2025-08-26T19:46:32.5539950Z   GITHUB_RUN_NUMBER: 141812
2025-08-26T19:46:32.5540130Z   GITHUB_RUN_ATTEMPT: 1
2025-08-26T19:46:32.5540360Z   JOB_ID: 48945196813
2025-08-26T19:46:32.5540590Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-26T19:46:32.5540840Z   REENABLED_ISSUES: 
2025-08-26T19:46:32.5541170Z   HUGGING_FACE_HUB_TOKEN: ***
2025-08-26T19:46:32.5541340Z ##[endgroup]
2025-08-26T19:46:32.5767630Z + PATH=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin
2025-08-26T19:46:32.5769360Z + export PATH
2025-08-26T19:46:32.5769520Z + for tool in python3 python
2025-08-26T19:46:32.5769800Z + which python3
2025-08-26T19:46:32.5790850Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python3
2025-08-26T19:46:32.5791530Z + python3 --version
2025-08-26T19:46:32.5844140Z Python 3.12.11
2025-08-26T19:46:32.5846250Z + for tool in python3 python
2025-08-26T19:46:32.5846460Z + which python
2025-08-26T19:46:32.5856510Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python
2025-08-26T19:46:32.5867800Z + python --version
2025-08-26T19:46:32.5908410Z Python 3.12.11
2025-08-26T19:46:32.5911100Z + python3 -mpip install --no-index --no-deps dist/torch-2.9.0a0+git262640f-cp312-cp312-macosx_11_0_arm64.whl
2025-08-26T19:46:32.7567360Z Processing ./dist/torch-2.9.0a0+git262640f-cp312-cp312-macosx_11_0_arm64.whl
2025-08-26T19:46:32.8290170Z Installing collected packages: torch
2025-08-26T19:46:39.4054720Z Successfully installed torch-2.9.0a0+git262640f
2025-08-26T19:46:39.4314950Z + set +e
2025-08-26T19:46:39.4315190Z + pushd /Users/ec2-user/runner/_work/_temp
2025-08-26T19:46:39.4315460Z + python3 -c 'import torch'
2025-08-26T19:46:39.4315690Z ~/runner/_work/_temp ~/runner/_work/pytorch/pytorch
2025-08-26T19:46:43.6142280Z + RC=0
2025-08-26T19:46:43.6142540Z ~/runner/_work/pytorch/pytorch
2025-08-26T19:46:43.6142730Z + popd
2025-08-26T19:46:43.6142860Z + '[' 0 -ne 0 ']'
2025-08-26T19:46:43.6142990Z + set -e
2025-08-26T19:46:43.6143140Z + .ci/pytorch/macos-test.sh
2025-08-26T19:46:43.6170660Z ++ dirname .ci/pytorch/macos-test.sh
2025-08-26T19:46:43.6191540Z + source .ci/pytorch/macos-common.sh
2025-08-26T19:46:43.6199990Z +++ dirname .ci/pytorch/macos-common.sh
2025-08-26T19:46:43.6212380Z ++ source .ci/pytorch/common.sh
2025-08-26T19:46:43.6221330Z ++++ dirname .ci/pytorch/common.sh
2025-08-26T19:46:43.6232920Z +++ source .ci/pytorch/common_utils.sh
2025-08-26T19:46:43.6240150Z ++++ declare -f -t trap_add
2025-08-26T19:46:43.6243530Z +++ set -ex -o pipefail
2025-08-26T19:46:43.6243740Z +++ [[ macos-py3-arm64 == *rocm* ]]
2025-08-26T19:46:43.6243980Z +++ BUILD_TEST_LIBTORCH=0
2025-08-26T19:46:43.6246770Z ++ sysctl -a
2025-08-26T19:46:43.6247650Z ++ grep machdep.cpu
2025-08-26T19:46:43.6362110Z machdep.cpu.cores_per_package: 8
2025-08-26T19:46:43.6362340Z machdep.cpu.core_count: 8
2025-08-26T19:46:43.6362530Z machdep.cpu.logical_per_package: 8
2025-08-26T19:46:43.6362760Z machdep.cpu.thread_count: 8
2025-08-26T19:46:43.6362970Z machdep.cpu.brand_string: Apple M1
2025-08-26T19:46:43.6363630Z ++ export MACOSX_DEPLOYMENT_TARGET=11.1
2025-08-26T19:46:43.6363900Z ++ MACOSX_DEPLOYMENT_TARGET=11.1
2025-08-26T19:46:43.6364100Z ++ export CXX=clang++
2025-08-26T19:46:43.6364270Z ++ CXX=clang++
2025-08-26T19:46:43.6364420Z ++ export CC=clang
2025-08-26T19:46:43.6364590Z ++ CC=clang
2025-08-26T19:46:43.6364720Z + pushd test
2025-08-26T19:46:43.6364980Z ~/runner/_work/pytorch/pytorch/test ~/runner/_work/pytorch/pytorch
2025-08-26T19:46:43.6368240Z ++ python -c 'import torch; print(int(torch.backends.openmp.is_available()))'
2025-08-26T19:46:44.4236490Z + [[ ! 1 == \1 ]]
2025-08-26T19:46:44.4236730Z + popd
2025-08-26T19:46:44.4237100Z + export TORCH_SERIALIZATION_DEBUG=1
2025-08-26T19:46:44.4237340Z + TORCH_SERIALIZATION_DEBUG=1
2025-08-26T19:46:44.4237530Z ~/runner/_work/pytorch/pytorch
2025-08-26T19:46:44.4241730Z + [[ default == *\p\e\r\f\_\a\l\l* ]]
2025-08-26T19:46:44.4242000Z + [[ default == *\p\e\r\f\_\t\o\r\c\h\b\e\n\c\h* ]]
2025-08-26T19:46:44.4242230Z + [[ default == *\p\e\r\f\_\h\f* ]]
2025-08-26T19:46:44.4242440Z + [[ default == *\p\e\r\f\_\t\i\m\m* ]]
2025-08-26T19:46:44.4242680Z + [[ default == *\p\e\r\f\_\s\m\o\k\e\t\e\s\t* ]]
2025-08-26T19:46:44.4242920Z + [[ default == *\m\p\s* ]]
2025-08-26T19:46:44.4243140Z + [[ 3 -gt 1 ]]
2025-08-26T19:46:44.4243310Z + test_python_shard 1
2025-08-26T19:46:44.4243460Z + [[ -z 3 ]]
2025-08-26T19:46:44.4243590Z + setup_test_python
2025-08-26T19:46:44.4244020Z + export GLOO_SOCKET_IFNAME=lo0
2025-08-26T19:46:44.4244220Z + GLOO_SOCKET_IFNAME=lo0
2025-08-26T19:46:44.4246470Z ++ ninja --version
2025-08-26T19:46:44.5817220Z + echo 'Ninja version: 1.10.2.git.kitware.jobserver-1'
2025-08-26T19:46:44.5817790Z Ninja version: 1.10.2.git.kitware.jobserver-1
2025-08-26T19:46:44.5820280Z ++ which python
2025-08-26T19:46:44.5839000Z ++ python --version
2025-08-26T19:46:44.5916550Z + echo 'Python version: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python (Python 3.12.11)'
2025-08-26T19:46:44.5917310Z Python version: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python (Python 3.12.11)
2025-08-26T19:46:44.5917790Z + ulimit -n 16384
2025-08-26T19:46:44.5920220Z + python test/run_test.py --verbose --exclude-jit-executor --exclude-distributed-tests --shard 1 3
2025-08-26T19:46:49.5588630Z Found test times from artifacts
2025-08-26T19:46:49.5902940Z Found test times from artifacts
2025-08-26T19:46:49.5912830Z Running all tests
2025-08-26T19:46:49.6103240Z Running parallel tests on 3 processes
2025-08-26T19:46:49.6107380Z Name: tests to run (est. time: 51.4min)
2025-08-26T19:46:49.6107610Z   Serial tests (47):
2025-08-26T19:46:49.6107810Z     inductor/test_flex_attention 1/1
2025-08-26T19:46:49.6108050Z     test_ci_sanity_check_fail 1/1
2025-08-26T19:46:49.6108250Z     doctests 1/1
2025-08-26T19:46:49.6108420Z     inductor/test_max_autotune 1/1
2025-08-26T19:46:49.6108630Z     inductor/test_benchmark_fusion 1/1
2025-08-26T19:46:49.6108850Z     inductor/test_cutlass_backend 1/1
2025-08-26T19:46:49.6109070Z     inductor/test_distributed_patterns 1/1
2025-08-26T19:46:49.6109280Z     dynamo/test_fake_distributed 1/1
2025-08-26T19:46:49.6109450Z     test_utils 1/1
2025-08-26T19:46:49.6109590Z     test_fx 1/1
2025-08-26T19:46:49.6109740Z     test_transformers_privateuse1 1/1
2025-08-26T19:46:49.6109930Z     test_cpp_api_parity 1/1
2025-08-26T19:46:49.6110120Z     test_extension_utils 1/1
2025-08-26T19:46:49.6110290Z     test_openreg 1/1
2025-08-26T19:46:49.6110450Z     test_show_pickle 1/1
2025-08-26T19:46:49.6110600Z     test_torch 1/1
2025-08-26T19:46:49.6110760Z     test_tensorexpr 1/1
2025-08-26T19:46:49.6110920Z     test_overrides 1/1
2025-08-26T19:46:49.6111090Z     test_namedtuple_return_api 1/1
2025-08-26T19:46:49.6111300Z     test_multiprocessing 1/1
2025-08-26T19:46:49.6111490Z     test_autograd_fallback 1/1
2025-08-26T19:46:49.6111680Z     test_reductions 1/1
2025-08-26T19:46:49.6111830Z     test_fake_tensor 1/1
2025-08-26T19:46:49.6112030Z     test_python_dispatch 1/1
2025-08-26T19:46:49.6112240Z     test_autocast 1/1
2025-08-26T19:46:49.6112420Z     test_jit_disabled 1/1
2025-08-26T19:46:49.6112590Z     test_tensor_creation_ops 1/1
2025-08-26T19:46:49.6112790Z     test_cpp_extensions_mtia_backend 1/1
2025-08-26T19:46:49.6113000Z     test_nn 1/1
2025-08-26T19:46:49.6113170Z     test_cpp_extensions_stream_and_event 1/1
2025-08-26T19:46:49.6113400Z     test_dispatch 1/1
2025-08-26T19:46:49.6113550Z     test_native_mha 1/1
2025-08-26T19:46:49.6113740Z     test_sort_and_select 1/1
2025-08-26T19:46:49.6113930Z     test_cpp_extensions_jit 1/1
2025-08-26T19:46:49.6114130Z     nn/test_pooling 1/1
2025-08-26T19:46:49.6114290Z     nn/test_convolution 1/1
2025-08-26T19:46:49.6114630Z     test_multiprocessing_spawn 1/1
2025-08-26T19:46:49.6114830Z     test_cuda_primary_ctx 1/1
2025-08-26T19:46:49.6115030Z     test_mobile_optimizer 1/1
2025-08-26T19:46:49.6115210Z     test_cuda_trace 1/1
2025-08-26T19:46:49.6115370Z     test_cuda_nvml_based_avail 1/1
2025-08-26T19:46:49.6115580Z     test_spectral_ops 1/1
2025-08-26T19:46:49.6115770Z     distributions/test_distributions 1/1
2025-08-26T19:46:49.6115990Z     test_cpp_extensions_aot_no_ninja 1/1
2025-08-26T19:46:49.6116190Z     test_autoload_disable 1/1
2025-08-26T19:46:49.6116380Z     test_autoload_enable 1/1
2025-08-26T19:46:49.6116550Z     test_cpp_extensions_aot_ninja 1/1
2025-08-26T19:46:49.6116750Z   Parallel tests (73):
2025-08-26T19:46:49.6116940Z     inductor/test_extension_backend 1/1
2025-08-26T19:46:49.6117350Z     inductor/test_pattern_matcher 1/1
2025-08-26T19:46:49.6117630Z     inductor/test_torchinductor_codegen_dynamic_shapes 1/2
2025-08-26T19:46:49.6117880Z     inductor/test_split_cat_fx_passes 1/1
2025-08-26T19:46:49.6118310Z     inductor/test_padding 1/1
2025-08-26T19:46:49.6118540Z     inductor/test_cudagraph_trees_expandable_segments 1/1
2025-08-26T19:46:49.6118780Z     test_dataloader 2/2
2025-08-26T19:46:49.6118920Z     test_cuda 1/1
2025-08-26T19:46:49.6119070Z     higher_order_ops/test_with_effects 1/1
2025-08-26T19:46:49.6119270Z     functorch/test_aotdispatch 1/3
2025-08-26T19:46:49.6119470Z     functorch/test_aotdispatch 2/3
2025-08-26T19:46:49.6119670Z     inductor/test_fused_attention 1/1
2025-08-26T19:46:49.6119880Z     inductor/test_pad_mm 1/1
2025-08-26T19:46:49.6120060Z     inductor/test_b2b_gemm 1/1
2025-08-26T19:46:49.6120300Z     inductor/test_torchinductor_strided_blocks 1/1
2025-08-26T19:46:49.6120540Z     inductor/test_move_constructors_to_cuda 1/1
2025-08-26T19:46:49.6120790Z     inductor/test_cooperative_reductions 1/1
2025-08-26T19:46:49.6121020Z     inductor/test_coordinate_descent_tuner 1/1
2025-08-26T19:46:49.6121230Z     inductor/test_triton_heuristics 1/1
2025-08-26T19:46:49.6121460Z     inductor/test_select_algorithm 1/1
2025-08-26T19:46:49.6121660Z     inductor/test_op_dtype_prop 1/1
2025-08-26T19:46:49.6121880Z     inductor/test_custom_post_grad_passes 1/1
2025-08-26T19:46:49.6122120Z     inductor/test_graph_transform_observer 1/1
2025-08-26T19:46:49.6122340Z     inductor/test_scatter_optimization 1/1
2025-08-26T19:46:49.6122550Z     inductor/test_mkldnn_pattern_matcher 1/1
2025-08-26T19:46:49.6122760Z     inductor/test_binary_folding 1/1
2025-08-26T19:46:49.6122980Z     inductor/test_efficient_conv_bn_eval 1/1
2025-08-26T19:46:49.6123180Z     dynamo/test_torchrec 1/1
2025-08-26T19:46:49.6123360Z     test_decomp 2/5
2025-08-26T19:46:49.6123500Z     test_decomp 4/5
2025-08-26T19:46:49.6123650Z     test_decomp 5/5
2025-08-26T19:46:49.6123790Z     functorch/test_ops 2/2
2025-08-26T19:46:49.6123950Z     test_openmp 1/1
2025-08-26T19:46:49.6124110Z     test_fx_experimental 1/1
2025-08-26T19:46:49.6124290Z     test_binary_ufuncs 1/1
2025-08-26T19:46:49.6124470Z     torch_np/test_nep50_examples 1/1
2025-08-26T19:46:49.6124660Z     test_module_tracker 1/1
2025-08-26T19:46:49.6124840Z     test_ops 1/3
2025-08-26T19:46:49.6124980Z     test_ops 2/3
2025-08-26T19:46:49.6125140Z     test_jiterator 1/1
2025-08-26T19:46:49.6125290Z     functorch/test_ac 1/1
2025-08-26T19:46:49.6125470Z     test_cuda_sanitizer 1/1
2025-08-26T19:46:49.6125640Z     dynamo/test_nested_graph_breaks 1/1
2025-08-26T19:46:49.6125860Z     test_functional_optim 1/1
2025-08-26T19:46:49.6126060Z     profiler/test_execution_trace 1/1
2025-08-26T19:46:49.6126250Z     test_futures 1/1
2025-08-26T19:46:49.6126400Z     test_linalg 1/1
2025-08-26T19:46:49.6126570Z     benchmark_utils/test_benchmark_utils 1/1
2025-08-26T19:46:49.6126820Z     torch_np/numpy_tests/core/test_scalarmath 1/1
2025-08-26T19:46:49.6127030Z     test_vulkan 1/1
2025-08-26T19:46:49.6127200Z     nn/test_load_state_dict 1/1
2025-08-26T19:46:49.6127370Z     test_indexing 1/1
2025-08-26T19:46:49.6127570Z     torch_np/numpy_tests/core/test_shape_base 1/1
2025-08-26T19:46:49.6127820Z     test_shape_ops 1/1
2025-08-26T19:46:49.6128010Z     torch_np/numpy_tests/core/test_dtype 1/1
2025-08-26T19:46:49.6128220Z     nn/test_module_hooks 1/1
2025-08-26T19:46:49.6128400Z     test_dynamic_shapes 1/1
2025-08-26T19:46:49.6128610Z     torch_np/numpy_tests/lib/test_twodim_base 1/1
2025-08-26T19:46:49.6128830Z     test_jit_llga_fuser 1/1
2025-08-26T19:46:49.6129010Z     test_type_info 1/1
2025-08-26T19:46:49.6129200Z     torch_np/numpy_tests/linalg/test_linalg 1/1
2025-08-26T19:46:49.6129430Z     test_serialization 1/1
2025-08-26T19:46:49.6129600Z     test_sparse_csr 1/1
2025-08-26T19:46:49.6129770Z     lazy/test_generator 1/1
2025-08-26T19:46:49.6129940Z     lazy/test_debug_util 1/1
2025-08-26T19:46:49.6130130Z     test_numa_binding 1/1
2025-08-26T19:46:49.6130400Z     test_view_ops 1/1
2025-08-26T19:46:49.6130600Z     torch_np/numpy_tests/fft/test_pocketfft 1/1
2025-08-26T19:46:49.6130830Z     torch_np/test_ndarray_methods 1/1
2025-08-26T19:46:49.6131120Z     torch_np/numpy_tests/lib/test_shape_base_ 1/1
2025-08-26T19:46:49.6131370Z     torch_np/numpy_tests/core/test_getlimits 1/1
2025-08-26T19:46:49.6131580Z     test_scatter_gather_ops 1/1
2025-08-26T19:46:49.6131750Z     functorch/test_vmap 1/1
2025-08-26T19:46:49.6131930Z Name: excluded (est. time: 0.0min)
2025-08-26T19:46:49.6132120Z   Serial tests (0):
2025-08-26T19:46:49.6132270Z   Parallel tests (0):
2025-08-26T19:46:49.6132550Z Running inductor/test_flex_attention 1/1 ... [2025-08-26 19:46:49.611925]
2025-08-26T19:46:49.6132860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:46:49.6133660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:46:49.612151]
2025-08-26T19:46:49.6134820Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /Users/ec2-user/runner/_work/pytorch/pytorch/test/.pytorch-disabled-tests.json
2025-08-26T19:46:49.6135400Z Ignoring disabled issues:  ['']
2025-08-26T19:46:52.5174390Z 
2025-08-26T19:46:52.5174980Z inductor/test_flex_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.1_d9ab3dcf7ba8a918_.log
2025-08-26T19:46:52.5347590Z Running 504 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_causal_mask_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod0_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod1_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod2_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod3_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod4_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod5_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_autograd_function_in_score_mod_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_block_mask_non_divisible_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_automatic_dynamic_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod0_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod1_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod2_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod3_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod4_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod5_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_128_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod6_BLOCK_SIZE_256_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_builtin_score_mods_different_block_size_score_mod7_BLOCK_SIZE2_cpu_float32, 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2025-08-26T19:46:52.5496250Z 
2025-08-26T19:46:52.5496410Z Running test_ci_sanity_check_fail 1/1 ... [2025-08-26 19:46:52.518258]
2025-08-26T19:46:52.5496680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:46:52.5497430Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:46:52.518533]
2025-08-26T19:46:52.5498260Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-08-26T19:46:52.5498550Z Uploading artifacts took 0.00 seconds
2025-08-26T19:47:00.0384100Z Running doctests 1/1 ... [2025-08-26 19:47:00.038278]
2025-08-26T19:47:00.1376670Z Start doctest_module('/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch')
2025-08-26T19:47:00.1377110Z Listing tests
2025-08-26T19:47:00.1377590Z msg = Cannot scrape callname=Library.fallback in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py line=375.
2025-08-26T19:47:00.1378190Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:00.1378590Z Registers the function implementation as the fallback for the given key.
2025-08-26T19:47:00.1378810Z 
2025-08-26T19:47:00.1378950Z         This function only works for a library with global namespace ("_").
2025-08-26T19:47:00.1379170Z 
2025-08-26T19:47:00.1379220Z         Args:
2025-08-26T19:47:00.1379490Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-08-26T19:47:00.1379810Z                 to register a fallthrough.
2025-08-26T19:47:00.1380160Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-08-26T19:47:00.1380520Z                           the dispatch key that the library was created with.
2025-08-26T19:47:00.1380910Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-08-26T19:47:00.1381400Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-08-26T19:47:00.1381660Z 
2025-08-26T19:47:00.1381740Z         Example::
2025-08-26T19:47:00.1381830Z 
2025-08-26T19:47:00.1381900Z             >>> my_lib = Library("_", "IMPL")
2025-08-26T19:47:00.1382370Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-08-26T19:47:00.1382590Z             >>>     # Handle all autocast ops generically
2025-08-26T19:47:00.1382780Z             >>>     # ...
2025-08-26T19:47:00.1382970Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-08-26T19:47:00.1383170Z         
2025-08-26T19:47:00.1383600Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-08-26T19:47:00.1384020Z 
2025-08-26T19:47:00.1384100Z my_lib.fallback(fallback_kernel, "Autocast")
2025-08-26T19:47:00.1384290Z ^
2025-08-26T19:47:00.1384900Z msg = Cannot scrape callname=register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py line=948.
2025-08-26T19:47:00.1385470Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:00.1385940Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-08-26T19:47:00.1386140Z 
2025-08-26T19:47:00.1386250Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-08-26T19:47:00.1386430Z 
2025-08-26T19:47:00.1386580Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-08-26T19:47:00.1386930Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-08-26T19:47:00.1387270Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-08-26T19:47:00.1387560Z     what the properties of the output Tensors are.
2025-08-26T19:47:00.1387720Z 
2025-08-26T19:47:00.1387860Z     The FakeTensor implementation has the same signature as the operator.
2025-08-26T19:47:00.1388190Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-08-26T19:47:00.1388510Z     implementation, assume that all Tensor inputs to the operator are
2025-08-26T19:47:00.1388830Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-08-26T19:47:00.1389150Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-08-26T19:47:00.1389490Z     The FakeTensor implementation must consist of only PyTorch operations
2025-08-26T19:47:00.1389810Z     (and may not directly access the storage or data of any input or
2025-08-26T19:47:00.1390050Z     intermediate Tensors).
2025-08-26T19:47:00.1390160Z 
2025-08-26T19:47:00.1390250Z     This API may be used as a decorator (see examples).
2025-08-26T19:47:00.1390410Z 
2025-08-26T19:47:00.1390500Z     For a detailed guide on custom ops, please see
2025-08-26T19:47:00.1390800Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-08-26T19:47:00.1391000Z 
2025-08-26T19:47:00.1391050Z     Args:
2025-08-26T19:47:00.1391260Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-08-26T19:47:00.1391530Z         func: Fake tensor implementation.
2025-08-26T19:47:00.1391790Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-08-26T19:47:00.1392100Z         allow_override: Flag controlling if we want to override an
2025-08-26T19:47:00.1392390Z                         existing registered fake impl. This is by default off,
2025-08-26T19:47:00.1392680Z                         and will error you're trying to register a fake impl to
2025-08-26T19:47:00.1392960Z                         an operator that already has a fake impl. This also only
2025-08-26T19:47:00.1393230Z                         applies if the custom operator was not created via
2025-08-26T19:47:00.1393520Z                         torch.library.custom_op, as overriding and existing fake
2025-08-26T19:47:00.1393770Z                         impl is already allowed.
2025-08-26T19:47:00.1393910Z 
2025-08-26T19:47:00.1393960Z     Examples:
2025-08-26T19:47:00.1394080Z         >>> import torch
2025-08-26T19:47:00.1394240Z         >>> import numpy as np
2025-08-26T19:47:00.1394410Z         >>> from torch import Tensor
2025-08-26T19:47:00.1394630Z         >>>
2025-08-26T19:47:00.1394830Z         >>> # Example 1: an operator without data-dependent output shape
2025-08-26T19:47:00.1395140Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-08-26T19:47:00.1395480Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-26T19:47:00.1395790Z         >>>     raise NotImplementedError("Implementation goes here")
2025-08-26T19:47:00.1396020Z         >>>
2025-08-26T19:47:00.1396190Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-08-26T19:47:00.1396410Z         >>> def _(x, weight, bias):
2025-08-26T19:47:00.1396590Z         >>>     assert x.dim() == 2
2025-08-26T19:47:00.1396770Z         >>>     assert weight.dim() == 2
2025-08-26T19:47:00.1397020Z         >>>     assert bias.dim() == 1
2025-08-26T19:47:00.1397230Z         >>>     assert x.shape[1] == weight.shape[1]
2025-08-26T19:47:00.1397460Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-08-26T19:47:00.1397730Z         >>>     assert x.device == weight.device
2025-08-26T19:47:00.1397900Z         >>>
2025-08-26T19:47:00.1398040Z         >>>     return (x @ weight.t()) + bias
2025-08-26T19:47:00.1398210Z         >>>
2025-08-26T19:47:00.1398380Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-08-26T19:47:00.1398620Z         >>>     x = torch.randn(2, 3)
2025-08-26T19:47:00.1398800Z         >>>     w = torch.randn(3, 3)
2025-08-26T19:47:00.1398970Z         >>>     b = torch.randn(3)
2025-08-26T19:47:00.1399170Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-08-26T19:47:00.1399360Z         >>>
2025-08-26T19:47:00.1399480Z         >>> assert y.shape == (2, 3)
2025-08-26T19:47:00.1399640Z         >>>
2025-08-26T19:47:00.1399820Z         >>> # Example 2: an operator with data-dependent output shape
2025-08-26T19:47:00.1400130Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-08-26T19:47:00.1400410Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-08-26T19:47:00.1400620Z         >>>     x_np = x.numpy(force=True)
2025-08-26T19:47:00.1400830Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-26T19:47:00.1401060Z         >>>     return torch.tensor(res, device=x.device)
2025-08-26T19:47:00.1401240Z         >>>
2025-08-26T19:47:00.1401420Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-08-26T19:47:00.1401630Z         >>> def _(x):
2025-08-26T19:47:00.1401810Z         >>> # Number of nonzero-elements is data-dependent.
2025-08-26T19:47:00.1402070Z         >>> # Since we cannot peek at the data in an fake impl,
2025-08-26T19:47:00.1402330Z         >>> # we use the ctx object to construct a new symint that
2025-08-26T19:47:00.1402570Z         >>> # represents the data-dependent size.
2025-08-26T19:47:00.1402790Z         >>>     ctx = torch.library.get_ctx()
2025-08-26T19:47:00.1402990Z         >>>     nnz = ctx.new_dynamic_size()
2025-08-26T19:47:00.1403180Z         >>>     shape = [nnz, x.dim()]
2025-08-26T19:47:00.1403410Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-26T19:47:00.1403610Z         >>>     return result
2025-08-26T19:47:00.1403760Z         >>>
2025-08-26T19:47:00.1403940Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-08-26T19:47:00.1404160Z         >>>
2025-08-26T19:47:00.1404290Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-08-26T19:47:00.1404570Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-08-26T19:47:00.1404850Z         >>> trace.print_readable()
2025-08-26T19:47:00.1405010Z         >>>
2025-08-26T19:47:00.1405220Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-08-26T19:47:00.1405430Z 
2025-08-26T19:47:00.1405470Z     
2025-08-26T19:47:00.1405840Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-08-26T19:47:00.1406210Z 
2025-08-26T19:47:00.1406300Z _._ = None
2025-08-26T19:47:00.1406420Z ^
2025-08-26T19:47:00.1406850Z msg = Cannot scrape callname=register_autograd in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py line=1083.
2025-08-26T19:47:00.1407430Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.1407740Z Register a backward formula for this custom op.
2025-08-26T19:47:00.1407890Z 
2025-08-26T19:47:00.1408020Z     In order for an operator to work with autograd, you need to register
2025-08-26T19:47:00.1408260Z     a backward formula:
2025-08-26T19:47:00.1408480Z     1. You must tell us how to compute gradients during the backward pass
2025-08-26T19:47:00.1408740Z     by providing us a "backward" function.
2025-08-26T19:47:00.1409080Z     2. If you need any values from the forward to compute gradients, you can
2025-08-26T19:47:00.1409370Z     use `setup_context` to save values for backward.
2025-08-26T19:47:00.1409570Z 
2025-08-26T19:47:00.1409710Z     ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``:
2025-08-26T19:47:00.1410030Z     - ``grads`` is one or more gradients. The number of gradients matches
2025-08-26T19:47:00.1410290Z     the number of outputs of the operator.
2025-08-26T19:47:00.1410560Z     The ``ctx`` object is `the same ctx object <context_method_mixins>`_ used by
2025-08-26T19:47:00.1410900Z     :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the
2025-08-26T19:47:00.1411210Z     same as :meth:`torch.autograd.Function.backward`.
2025-08-26T19:47:00.1411370Z 
2025-08-26T19:47:00.1411500Z     ``setup_context(ctx, inputs, output)`` runs during the forward pass.
2025-08-26T19:47:00.1411840Z     Please save quantities needed for backward onto the ``ctx`` object via
2025-08-26T19:47:00.1412180Z     either :meth:`torch.autograd.function.FunctionCtx.save_for_backward`
2025-08-26T19:47:00.1412510Z     or assigning them as attributes of ``ctx``. If your custom op has
2025-08-26T19:47:00.1412840Z     kwarg-only arguments, we expect the signature of ``setup_context``
2025-08-26T19:47:00.1413150Z     to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``.
2025-08-26T19:47:00.1413330Z 
2025-08-26T19:47:00.1413470Z     Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is,
2025-08-26T19:47:00.1413810Z     they may not directly access :meth:`torch.Tensor.data_ptr` and they must
2025-08-26T19:47:00.1414150Z     not depend on or mutate global state. If you need a non-traceable backward,
2025-08-26T19:47:00.1414490Z     you can make it a separate custom_op that you call inside ``backward_fn``.
2025-08-26T19:47:00.1414690Z 
2025-08-26T19:47:00.1414830Z     If you need different autograd behavior on different devices, then we
2025-08-26T19:47:00.1415170Z     recommend creating two different custom operators, one for each device
2025-08-26T19:47:00.1415510Z     that needs different behavior, and switching between them at runtime.
2025-08-26T19:47:00.1415710Z 
2025-08-26T19:47:00.1415770Z     Examples:
2025-08-26T19:47:00.1415890Z         >>> import torch
2025-08-26T19:47:00.1416040Z         >>> import numpy as np
2025-08-26T19:47:00.1416210Z         >>> from torch import Tensor
2025-08-26T19:47:00.1416370Z         >>>
2025-08-26T19:47:00.1416560Z         >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=())
2025-08-26T19:47:00.1416820Z         >>> def numpy_sin(x: Tensor) -> Tensor:
2025-08-26T19:47:00.1417020Z         >>>     x_np = x.cpu().numpy()
2025-08-26T19:47:00.1417200Z         >>>     y_np = np.sin(x_np)
2025-08-26T19:47:00.1417420Z         >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-08-26T19:47:00.1417620Z         >>>
2025-08-26T19:47:00.1417780Z         >>> def setup_context(ctx, inputs, output) -> Tensor:
2025-08-26T19:47:00.1418000Z         >>>     x, = inputs
2025-08-26T19:47:00.1418160Z         >>>     ctx.save_for_backward(x)
2025-08-26T19:47:00.1418330Z         >>>
2025-08-26T19:47:00.1418450Z         >>> def backward(ctx, grad):
2025-08-26T19:47:00.1418670Z         >>>     x, = ctx.saved_tensors
2025-08-26T19:47:00.1418860Z         >>>     return grad * x.cos()
2025-08-26T19:47:00.1419020Z         >>>
2025-08-26T19:47:00.1419160Z         >>> torch.library.register_autograd(
2025-08-26T19:47:00.1419400Z         ...     "mylib::numpy_sin", backward, setup_context=setup_context
2025-08-26T19:47:00.1419630Z         ... )
2025-08-26T19:47:00.1419740Z         >>>
2025-08-26T19:47:00.1419880Z         >>> x = torch.randn(3, requires_grad=True)
2025-08-26T19:47:00.1420070Z         >>> y = numpy_sin(x)
2025-08-26T19:47:00.1420290Z         >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-08-26T19:47:00.1420530Z         >>> assert torch.allclose(grad_x, x.cos())
2025-08-26T19:47:00.1420710Z         >>>
2025-08-26T19:47:00.1420910Z         >>> # Example with a keyword-only arg
2025-08-26T19:47:00.1421170Z         >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-08-26T19:47:00.1421490Z         >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor:
2025-08-26T19:47:00.1421710Z         >>>     x_np = x.cpu().numpy()
2025-08-26T19:47:00.1421880Z         >>>     y_np = x_np * val
2025-08-26T19:47:00.1422090Z         >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-08-26T19:47:00.1422290Z         >>>
2025-08-26T19:47:00.1422490Z         >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor:
2025-08-26T19:47:00.1422780Z         >>>     ctx.val = keyword_only_inputs["val"]
2025-08-26T19:47:00.1422960Z         >>>
2025-08-26T19:47:00.1423080Z         >>> def backward(ctx, grad):
2025-08-26T19:47:00.1423260Z         >>>     return grad * ctx.val
2025-08-26T19:47:00.1423430Z         >>>
2025-08-26T19:47:00.1423560Z         >>> torch.library.register_autograd(
2025-08-26T19:47:00.1423810Z         ...     "mylib::numpy_mul", backward, setup_context=setup_context
2025-08-26T19:47:00.1424030Z         ... )
2025-08-26T19:47:00.1424140Z         >>>
2025-08-26T19:47:00.1424290Z         >>> x = torch.randn(3, requires_grad=True)
2025-08-26T19:47:00.1424480Z         >>> y = numpy_mul(x, val=3.14)
2025-08-26T19:47:00.1424720Z         >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-08-26T19:47:00.1425010Z         >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14))
2025-08-26T19:47:00.1425180Z 
2025-08-26T19:47:00.1425220Z     
2025-08-26T19:47:00.1425440Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.2032290Z 
2025-08-26T19:47:00.2032970Z msg = Cannot scrape callname=get_kernel in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py line=1482.
2025-08-26T19:47:00.2033590Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:00.2033990Z Returns the computed kernel for a given operator and dispatch key.
2025-08-26T19:47:00.2034200Z 
2025-08-26T19:47:00.2034340Z     This function retrieves the kernel that would be executed for a given
2025-08-26T19:47:00.2034730Z     operator and dispatch key combination. The returned SafeKernelFunction
2025-08-26T19:47:00.2035080Z     can be used to call the kernel in a boxed fashion. The intended use
2025-08-26T19:47:00.2035420Z     case for this function is to retrieve the original kernel for a given
2025-08-26T19:47:00.2035770Z     dispatch key and then register another kernel to the same dispatch key
2025-08-26T19:47:00.2036090Z     that calls into the original kernel for certain cases.
2025-08-26T19:47:00.2036260Z 
2025-08-26T19:47:00.2036320Z     Args:
2025-08-26T19:47:00.2036520Z         op: Operator name (along with the overload) or OpOverload object
2025-08-26T19:47:00.2036890Z             Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-08-26T19:47:00.2037280Z         dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-08-26T19:47:00.2037650Z             Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-08-26T19:47:00.2038120Z 
2025-08-26T19:47:00.2038170Z     Returns:
2025-08-26T19:47:00.2038410Z         torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-08-26T19:47:00.2038680Z             call the kernel.
2025-08-26T19:47:00.2038800Z 
2025-08-26T19:47:00.2038840Z     Raises:
2025-08-26T19:47:00.2039010Z         RuntimeError: If the operator does not exist.
2025-08-26T19:47:00.2039170Z 
2025-08-26T19:47:00.2039220Z     Example:
2025-08-26T19:47:00.2039370Z         >>> # Get the CPU kernel for torch.add
2025-08-26T19:47:00.2039640Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-08-26T19:47:00.2039890Z         >>>
2025-08-26T19:47:00.2040030Z         >>> # You can also use DispatchKey enum
2025-08-26T19:47:00.2040500Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-08-26T19:47:00.2040780Z         >>>
2025-08-26T19:47:00.2040920Z         >>> # Or use an OpOverload directly
2025-08-26T19:47:00.2041310Z         >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-08-26T19:47:00.2041570Z         >>>
2025-08-26T19:47:00.2041780Z         >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-08-26T19:47:00.2042070Z         >>> # Get the original kernel for torch.sin
2025-08-26T19:47:00.2042360Z         >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-08-26T19:47:00.2042610Z         >>>
2025-08-26T19:47:00.2042820Z         >>> # If input has negative values, use original sin, otherwise return zeros
2025-08-26T19:47:00.2043130Z         >>> def conditional_sin_impl(dispatch_keys, x):
2025-08-26T19:47:00.2043370Z         >>>     if (x < 0).any():
2025-08-26T19:47:00.2043620Z         >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-08-26T19:47:00.2043860Z         >>>     else:
2025-08-26T19:47:00.2044030Z         >>>         return torch.zeros_like(x)
2025-08-26T19:47:00.2044210Z         >>>
2025-08-26T19:47:00.2044370Z         >>> lib = torch.library.Library("aten", "IMPL")
2025-08-26T19:47:00.2044700Z         >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-08-26T19:47:00.2045050Z         >>> which needs to be the first argument to ``kernel.call_boxed``
2025-08-26T19:47:00.2045370Z         >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-08-26T19:47:00.2045610Z         >>>
2025-08-26T19:47:00.2045740Z         >>> # Test the conditional behavior
2025-08-26T19:47:00.2045960Z         >>> x_positive = torch.tensor([1.0, 2.0])
2025-08-26T19:47:00.2046180Z         >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-08-26T19:47:00.2046390Z         >>> torch.sin(x_positive)
2025-08-26T19:47:00.2046560Z         tensor([0., 0.])
2025-08-26T19:47:00.2046730Z         >>> torch.sin(x_mixed)
2025-08-26T19:47:00.2046890Z         tensor([-0.8415, 0.9093])
2025-08-26T19:47:00.2047050Z     
2025-08-26T19:47:00.2047410Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-08-26T19:47:00.2047770Z 
2025-08-26T19:47:00.2047890Z which needs to be the first argument to ``kernel.call_boxed``
2025-08-26T19:47:00.2048120Z       ^
2025-08-26T19:47:00.2048570Z msg = Cannot scrape callname=opcheck in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py line=1571.
2025-08-26T19:47:00.2049180Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.2049560Z Given an operator and some sample arguments, tests if the operator is
2025-08-26T19:47:00.2049830Z     registered correctly.
2025-08-26T19:47:00.2049940Z 
2025-08-26T19:47:00.2050080Z     That is, when you use the torch.library/TORCH_LIBRARY APIs to create a
2025-08-26T19:47:00.2057000Z     custom op, you specified metadata (e.g. mutability info) about the custom op
2025-08-26T19:47:00.2057380Z     and these APIs require that the functions you pass them satisfy certain
2025-08-26T19:47:00.2057830Z     properties (e.g. no data pointer access in the fake/meta/abstract kernel)
2025-08-26T19:47:00.2058140Z     ``opcheck`` tests these metadata and properties.
2025-08-26T19:47:00.2058300Z 
2025-08-26T19:47:00.2058370Z     Concretely, we test the following:
2025-08-26T19:47:00.2058510Z 
2025-08-26T19:47:00.2058630Z     - test_schema: If the schema matches the implementation of
2025-08-26T19:47:00.2058960Z       the operator. For example: if the schema specifies a Tensor is mutated,
2025-08-26T19:47:00.2059300Z       then we check the implementation mutates the Tensor. If the schema
2025-08-26T19:47:00.2059630Z       specifies that we return a new Tensor, then we check that the
2025-08-26T19:47:00.2060040Z       implementation returns a new Tensor (instead of an existing one or
2025-08-26T19:47:00.2060320Z       a view of an existing one).
2025-08-26T19:47:00.2060580Z     - test_autograd_registration: If the operator supports training
2025-08-26T19:47:00.2060950Z       (autograd): we check that its autograd formula is registered via
2025-08-26T19:47:00.2061280Z       torch.library.register_autograd or a manual registration to one
2025-08-26T19:47:00.2061620Z       or more DispatchKey::Autograd keys. Any other DispatchKey-based
2025-08-26T19:47:00.2061910Z       registrations may lead to undefined behavior.
2025-08-26T19:47:00.2062180Z     - test_faketensor: If the operator has a FakeTensor kernel
2025-08-26T19:47:00.2062480Z       (and if it is correct). The FakeTensor kernel is necessary (
2025-08-26T19:47:00.2062790Z       but not sufficient) for the operator to work with PyTorch compilation
2025-08-26T19:47:00.2063140Z       APIs (torch.compile/export/FX). We check that a FakeTensor kernel
2025-08-26T19:47:00.2063470Z       (also sometimes known as a meta kernel) was registered for the
2025-08-26T19:47:00.2063780Z       operator and that it is correct. This test takes the result of
2025-08-26T19:47:00.2064090Z       running the operator on real tensors and the result of running
2025-08-26T19:47:00.2064410Z       the operator on FakeTensors and checks that they have the same
2025-08-26T19:47:00.2064690Z       Tensor metadata (sizes/strides/dtype/device/etc).
2025-08-26T19:47:00.2064980Z     - test_aot_dispatch_dynamic: If the operator has correct behavior
2025-08-26T19:47:00.2065300Z       with PyTorch compilation APIs (torch.compile/export/FX).
2025-08-26T19:47:00.2065610Z       This checks that the outputs (and gradients, if applicable) are the
2025-08-26T19:47:00.2065910Z       same under eager-mode PyTorch and torch.compile.
2025-08-26T19:47:00.2066200Z       This test is a superset of ``test_faketensor`` and is an e2e test;
2025-08-26T19:47:00.2066490Z       other things it tests are that the operator supports
2025-08-26T19:47:00.2066810Z       functionalization and that the backward pass (if it exists) also
2025-08-26T19:47:00.2067090Z       supports FakeTensor and functionalization.
2025-08-26T19:47:00.2067250Z 
2025-08-26T19:47:00.2067380Z     For best results, please call ``opcheck`` multiple times with a
2025-08-26T19:47:00.2067680Z     representative set of inputs. If your operator supports
2025-08-26T19:47:00.2068000Z     autograd, please use ``opcheck`` with inputs with ``requires_grad = True``;
2025-08-26T19:47:00.2068350Z     if your operator supports multiple devices (e.g. CPU and CUDA), please
2025-08-26T19:47:00.2068650Z     use ``opcheck`` with inputs on all supported devices.
2025-08-26T19:47:00.2068820Z 
2025-08-26T19:47:00.2068860Z     Args:
2025-08-26T19:47:00.2069040Z         op: The operator. Must either be a function decorated with
2025-08-26T19:47:00.2069350Z             :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket
2025-08-26T19:47:00.2069700Z             found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo)
2025-08-26T19:47:00.2069970Z         args: The args to the operator
2025-08-26T19:47:00.2070170Z         kwargs: The kwargs to the operator
2025-08-26T19:47:00.2070420Z         test_utils: Tests that we should run. Default: all of them.
2025-08-26T19:47:00.2070740Z             Example: ("test_schema", "test_faketensor")
2025-08-26T19:47:00.2071010Z         raise_exception: If we should raise an exception on the first
2025-08-26T19:47:00.2071310Z             error. If False, we will return a dict with information
2025-08-26T19:47:00.2071550Z             on if each test passed or not.
2025-08-26T19:47:00.2071830Z         rtol (Optional[float]): Relative tolerance for floating point comparisons.
2025-08-26T19:47:00.2072130Z             If specified ``atol`` must also be specified.
2025-08-26T19:47:00.2072400Z             If omitted, default values based on the ``dtype`` are selected
2025-08-26T19:47:00.2072700Z             (see the table in :func:`torch.testing.assert_close`).
2025-08-26T19:47:00.2073100Z         atol (Optional[float]): Absolute tolerance for floating point comparisons.
2025-08-26T19:47:00.2073410Z             If specified ``rtol`` must also be specified.
2025-08-26T19:47:00.2073730Z             If omitted, default values based on the ``dtype`` are selected
2025-08-26T19:47:00.2074030Z             (see the table in :func:`torch.testing.assert_close`).
2025-08-26T19:47:00.2074200Z 
2025-08-26T19:47:00.2074250Z     .. warning::
2025-08-26T19:47:00.2074340Z 
2025-08-26T19:47:00.2074470Z         opcheck and :func:`torch.autograd.gradcheck` test different things;
2025-08-26T19:47:00.2074800Z         opcheck tests if your usage of torch.library APIs is correct while
2025-08-26T19:47:00.2075130Z         :func:`torch.autograd.gradcheck` tests if your autograd formula is
2025-08-26T19:47:00.2075470Z         mathematically correct. Use both to test custom ops that support
2025-08-26T19:47:00.2075730Z         gradient computation.
2025-08-26T19:47:00.2075850Z 
2025-08-26T19:47:00.2075890Z     Example:
2025-08-26T19:47:00.2075970Z 
2025-08-26T19:47:00.2076060Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-26T19:47:00.2076340Z         >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-08-26T19:47:00.2076620Z         >>> def numpy_mul(x: Tensor, y: float) -> Tensor:
2025-08-26T19:47:00.2076840Z         >>>     x_np = x.numpy(force=True)
2025-08-26T19:47:00.2077020Z         >>>     z_np = x_np * y
2025-08-26T19:47:00.2077220Z         >>>     return torch.from_numpy(z_np).to(x.device)
2025-08-26T19:47:00.2077410Z         >>>
2025-08-26T19:47:00.2077540Z         >>> @numpy_mul.register_fake
2025-08-26T19:47:00.2077720Z         >>> def _(x, y):
2025-08-26T19:47:00.2077880Z         >>>     return torch.empty_like(x)
2025-08-26T19:47:00.2078050Z         >>>
2025-08-26T19:47:00.2078200Z         >>> def setup_context(ctx, inputs, output):
2025-08-26T19:47:00.2078390Z         >>>     y, = inputs
2025-08-26T19:47:00.2078540Z         >>>     ctx.y = y
2025-08-26T19:47:00.2078690Z         >>>
2025-08-26T19:47:00.2078810Z         >>> def backward(ctx, grad):
2025-08-26T19:47:00.2078990Z         >>>     return grad * ctx.y, None
2025-08-26T19:47:00.2079160Z         >>>
2025-08-26T19:47:00.2079370Z         >>> numpy_mul.register_autograd(backward, setup_context=setup_context)
2025-08-26T19:47:00.2079620Z         >>>
2025-08-26T19:47:00.2079750Z         >>> sample_inputs = [
2025-08-26T19:47:00.2079920Z         >>>     (torch.randn(3), 3.14),
2025-08-26T19:47:00.2080130Z         >>>     (torch.randn(2, 3, device='cuda'), 2.718),
2025-08-26T19:47:00.2080370Z         >>>     (torch.randn(1, 10, requires_grad=True), 1.234),
2025-08-26T19:47:00.2080640Z         >>>     (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18),
2025-08-26T19:47:00.2080870Z         >>> ]
2025-08-26T19:47:00.2080980Z         >>>
2025-08-26T19:47:00.2081110Z         >>> for args in sample_inputs:
2025-08-26T19:47:00.2081320Z         >>>     torch.library.opcheck(numpy_mul, args)
2025-08-26T19:47:00.2081470Z 
2025-08-26T19:47:00.2081510Z     
2025-08-26T19:47:00.2081730Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.2167550Z 
2025-08-26T19:47:00.2168120Z msg = Cannot scrape callname=Tensor.dim_order in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py line=1493.
2025-08-26T19:47:00.2168890Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.2169130Z 
2025-08-26T19:47:00.2169210Z dim_order(ambiguity_check=False) -> tuple
2025-08-26T19:47:00.2169360Z 
2025-08-26T19:47:00.2169510Z Returns the uniquely determined tuple of int describing the dim order or
2025-08-26T19:47:00.2169790Z physical layout of :attr:`self`.
2025-08-26T19:47:00.2169920Z 
2025-08-26T19:47:00.2170080Z The dim order represents how dimensions are laid out in memory of dense tensors,
2025-08-26T19:47:00.2170410Z starting from the outermost to the innermost dimension.
2025-08-26T19:47:00.2170670Z 
2025-08-26T19:47:00.2170790Z Note that the dim order may not always be uniquely determined.
2025-08-26T19:47:00.2171230Z If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined;
2025-08-26T19:47:00.2171830Z If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted
2025-08-26T19:47:00.2172310Z into exactly one of the given memory formats, or it cannot be uniquely determined.
2025-08-26T19:47:00.2172740Z If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness.
2025-08-26T19:47:00.2173080Z Otherwise, it will raise TypeError.
2025-08-26T19:47:00.2173210Z 
2025-08-26T19:47:00.2173250Z Args:
2025-08-26T19:47:00.2173520Z     ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order.
2025-08-26T19:47:00.2173790Z 
2025-08-26T19:47:00.2173850Z Examples::
2025-08-26T19:47:00.2173930Z 
2025-08-26T19:47:00.2174000Z     >>> torch.empty((2, 3, 5, 7)).dim_order()
2025-08-26T19:47:00.2174190Z     (0, 1, 2, 3)
2025-08-26T19:47:00.2174380Z     >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order()
2025-08-26T19:47:00.2174600Z     (0, 2, 1, 3)
2025-08-26T19:47:00.2174820Z     >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order()
2025-08-26T19:47:00.2175080Z     (0, 2, 3, 1)
2025-08-26T19:47:00.2175230Z     >>> torch.empty((1, 2, 3, 4)).dim_order()
2025-08-26T19:47:00.2175420Z     (0, 1, 2, 3)
2025-08-26T19:47:00.2175550Z     >>> try:
2025-08-26T19:47:00.2175730Z     ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True)
2025-08-26T19:47:00.2175980Z     ... except RuntimeError as e:
2025-08-26T19:47:00.2176150Z     ...     print(e)
2025-08-26T19:47:00.2176450Z     The tensor does not have unique dim order, or cannot map to exact one of the given memory formats.
2025-08-26T19:47:00.2176790Z     >>> torch.empty((1, 2, 3, 4)).dim_order(
2025-08-26T19:47:00.2177080Z     ...     ambiguity_check=[torch.contiguous_format, torch.channels_last]
2025-08-26T19:47:00.2177370Z     ... )  # It can be mapped to contiguous format
2025-08-26T19:47:00.2177570Z     (0, 1, 2, 3)
2025-08-26T19:47:00.2177700Z     >>> try:
2025-08-26T19:47:00.2177900Z     ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL")
2025-08-26T19:47:00.2178150Z     ... except TypeError as e:
2025-08-26T19:47:00.2178310Z     ...     print(e)
2025-08-26T19:47:00.2178550Z     The ambiguity_check argument must be a bool or a list of memory formats.
2025-08-26T19:47:00.2178770Z 
2025-08-26T19:47:00.2178820Z .. warning::
2025-08-26T19:47:00.2179030Z     The dim_order tensor API is experimental and subject to change.
2025-08-26T19:47:00.2179230Z 
2025-08-26T19:47:00.2179390Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.2179620Z 
2025-08-26T19:47:00.2179980Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/hub.py line=565.
2025-08-26T19:47:00.2180560Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.2180800Z 
2025-08-26T19:47:00.2180900Z Load a model from a github repo or a local directory.
2025-08-26T19:47:00.2181140Z 
2025-08-26T19:47:00.2181290Z Note: Loading a model is the typical use case, but this can also be used to
2025-08-26T19:47:00.2181640Z for loading other objects such as tokenizers, loss functions, etc.
2025-08-26T19:47:00.2181840Z 
2025-08-26T19:47:00.2181950Z If ``source`` is 'github', ``repo_or_dir`` is expected to be
2025-08-26T19:47:00.2182240Z of the form ``repo_owner/repo_name[:ref]`` with an optional
2025-08-26T19:47:00.2182460Z ref (a tag or a branch).
2025-08-26T19:47:00.2182570Z 
2025-08-26T19:47:00.2182670Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a
2025-08-26T19:47:00.2182910Z path to a local directory.
2025-08-26T19:47:00.2183020Z 
2025-08-26T19:47:00.2183060Z Args:
2025-08-26T19:47:00.2183300Z     repo_or_dir (str): If ``source`` is 'github',
2025-08-26T19:47:00.2183630Z         this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with
2025-08-26T19:47:00.2184100Z         an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified,
2025-08-26T19:47:00.2184510Z         the default branch is assumed to be ``main`` if it exists, and otherwise ``master``.
2025-08-26T19:47:00.2184870Z         If ``source`` is 'local'  then it should be a path to a local directory.
2025-08-26T19:47:00.2185170Z     model (str): the name of a callable (entrypoint) defined in the
2025-08-26T19:47:00.2185420Z         repo/dir's ``hubconf.py``.
2025-08-26T19:47:00.2185670Z     *args (optional): the corresponding args for callable ``model``.
2025-08-26T19:47:00.2185960Z     source (str, optional): 'github' or 'local'. Specifies how
2025-08-26T19:47:00.2186240Z         ``repo_or_dir`` is to be interpreted. Default is 'github'.
2025-08-26T19:47:00.2186550Z     trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
2025-08-26T19:47:00.2186890Z         This parameter was introduced in v1.12 and helps ensuring that users
2025-08-26T19:47:00.2187170Z         only run code from repos that they trust.
2025-08-26T19:47:00.2187320Z 
2025-08-26T19:47:00.2187440Z         - If ``False``, a prompt will ask the user whether the repo should
2025-08-26T19:47:00.2187700Z           be trusted.
2025-08-26T19:47:00.2187910Z         - If ``True``, the repo will be added to the trusted list and loaded
2025-08-26T19:47:00.2188170Z           without requiring explicit confirmation.
2025-08-26T19:47:00.2188420Z         - If ``"check"``, the repo will be checked against the list of
2025-08-26T19:47:00.2188730Z           trusted repos in the cache. If it is not present in that list, the
2025-08-26T19:47:00.2189040Z           behaviour will fall back onto the ``trust_repo=False`` option.
2025-08-26T19:47:00.2189340Z         - If ``None``: this will raise a warning, inviting the user to set
2025-08-26T19:47:00.2189640Z           ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
2025-08-26T19:47:00.2189950Z           is only present for backward compatibility and will be removed in
2025-08-26T19:47:00.2190190Z           v2.0.
2025-08-26T19:47:00.2190270Z 
2025-08-26T19:47:00.2190400Z         Default is ``None`` and will eventually change to ``"check"`` in v2.0.
2025-08-26T19:47:00.2190720Z     force_reload (bool, optional): whether to force a fresh download of
2025-08-26T19:47:00.2191040Z         the github repo unconditionally. Does not have any effect if
2025-08-26T19:47:00.2191300Z         ``source = 'local'``. Default is ``False``.
2025-08-26T19:47:00.2191570Z     verbose (bool, optional): If ``False``, mute messages about hitting
2025-08-26T19:47:00.2191890Z         local caches. Note that the message about first download cannot be
2025-08-26T19:47:00.2192190Z         muted. Does not have any effect if ``source = 'local'``.
2025-08-26T19:47:00.2192410Z         Default is ``True``.
2025-08-26T19:47:00.2192700Z     skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit
2025-08-26T19:47:00.2193120Z         specified by the ``github`` argument properly belongs to the repo owner. This will make
2025-08-26T19:47:00.2193560Z         requests to the GitHub API; you can specify a non-default GitHub token by setting the
2025-08-26T19:47:00.2193910Z         ``GITHUB_TOKEN`` environment variable. Default is ``False``.
2025-08-26T19:47:00.2194220Z     **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-08-26T19:47:00.2194430Z 
2025-08-26T19:47:00.2194470Z Returns:
2025-08-26T19:47:00.2194650Z     The output of the ``model`` callable when called with the given
2025-08-26T19:47:00.2194880Z     ``*args`` and ``**kwargs``.
2025-08-26T19:47:00.2194990Z 
2025-08-26T19:47:00.2195040Z Example:
2025-08-26T19:47:00.2195190Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-08-26T19:47:00.2195460Z     >>> # from a github repo
2025-08-26T19:47:00.2195620Z     >>> repo = "pytorch/vision"
2025-08-26T19:47:00.2195790Z     >>> model = torch.hub.load(
2025-08-26T19:47:00.2196020Z     ...     repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1"
2025-08-26T19:47:00.2196280Z     ... )
2025-08-26T19:47:00.2196400Z     >>> # from a local directory
2025-08-26T19:47:00.2196600Z     >>> path = "/some/local/path/pytorch/vision"
2025-08-26T19:47:00.2196790Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:00.2197040Z     >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT")
2025-08-26T19:47:00.2197260Z 
2025-08-26T19:47:00.2197420Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.2197640Z 
2025-08-26T19:47:00.2197990Z msg = Cannot scrape callname=_load_local in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/hub.py line=657.
2025-08-26T19:47:00.2198550Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.2198780Z 
2025-08-26T19:47:00.2198890Z Load a model from a local directory with a ``hubconf.py``.
2025-08-26T19:47:00.2199060Z 
2025-08-26T19:47:00.2199100Z Args:
2025-08-26T19:47:00.2199280Z     hubconf_dir (str): path to a local directory that contains a
2025-08-26T19:47:00.2199510Z         ``hubconf.py``.
2025-08-26T19:47:00.2199720Z     model (str): name of an entrypoint defined in the directory's
2025-08-26T19:47:00.2199940Z         ``hubconf.py``.
2025-08-26T19:47:00.2200170Z     *args (optional): the corresponding args for callable ``model``.
2025-08-26T19:47:00.2200480Z     **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-08-26T19:47:00.2200670Z 
2025-08-26T19:47:00.2200720Z Returns:
2025-08-26T19:47:00.2200880Z     a single model with corresponding pretrained weights.
2025-08-26T19:47:00.2201050Z 
2025-08-26T19:47:00.2201100Z Example:
2025-08-26T19:47:00.2201230Z     >>> # xdoctest: +SKIP("stub local path")
2025-08-26T19:47:00.2201440Z     >>> path = "/some/local/path/pytorch/vision"
2025-08-26T19:47:00.2201640Z     >>> model = _load_local(
2025-08-26T19:47:00.2201790Z     ...     path,
2025-08-26T19:47:00.2201920Z     ...     "resnet50",
2025-08-26T19:47:00.2202100Z     ...     weights="ResNet50_Weights.IMAGENET1K_V1",
2025-08-26T19:47:00.2202290Z     ... )
2025-08-26T19:47:00.2202350Z 
2025-08-26T19:47:00.2202510Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.2202720Z 
2025-08-26T19:47:00.2203090Z msg = Cannot scrape callname=download_url_to_file in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/hub.py line=696.
2025-08-26T19:47:00.2203660Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.2203970Z Download object at the given URL to a local path.
2025-08-26T19:47:00.2204120Z 
2025-08-26T19:47:00.2204170Z     Args:
2025-08-26T19:47:00.2204310Z         url (str): URL of the object to download
2025-08-26T19:47:00.2204590Z         dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file``
2025-08-26T19:47:00.2205000Z         hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``.
2025-08-26T19:47:00.2205360Z             Default: None
2025-08-26T19:47:00.2205620Z         progress (bool, optional): whether or not to display a progress bar to stderr
2025-08-26T19:47:00.2205900Z             Default: True
2025-08-26T19:47:00.2206000Z 
2025-08-26T19:47:00.2206040Z     Example:
2025-08-26T19:47:00.2206200Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-08-26T19:47:00.2206410Z         >>> # xdoctest: +REQUIRES(POSIX)
2025-08-26T19:47:00.2206610Z         >>> torch.hub.download_url_to_file(
2025-08-26T19:47:00.2206890Z         ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth",
2025-08-26T19:47:00.2207150Z         ...     "/tmp/temporary_file",
2025-08-26T19:47:00.2207310Z         ... )
2025-08-26T19:47:00.2207450Z 
2025-08-26T19:47:00.2207500Z     
2025-08-26T19:47:00.2207710Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.3440070Z 
2025-08-26T19:47:00.3441010Z msg = Cannot scrape callname=load_state_dict_from_url in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/hub.py line=821.
2025-08-26T19:47:00.3441680Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.3442020Z Loads the Torch serialized object at the given URL.
2025-08-26T19:47:00.3442200Z 
2025-08-26T19:47:00.3442320Z     If downloaded file is a zip file, it will be automatically
2025-08-26T19:47:00.3442560Z     decompressed.
2025-08-26T19:47:00.3442660Z 
2025-08-26T19:47:00.3442800Z     If the object is already present in `model_dir`, it's deserialized and
2025-08-26T19:47:00.3443060Z     returned.
2025-08-26T19:47:00.3443280Z     The default value of ``model_dir`` is ``<hub_dir>/checkpoints`` where
2025-08-26T19:47:00.3443630Z     ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`.
2025-08-26T19:47:00.3443830Z 
2025-08-26T19:47:00.3443880Z     Args:
2025-08-26T19:47:00.3444030Z         url (str): URL of the object to download
2025-08-26T19:47:00.3444310Z         model_dir (str, optional): directory in which to save the object
2025-08-26T19:47:00.3444720Z         map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load)
2025-08-26T19:47:00.3445170Z         progress (bool, optional): whether or not to display a progress bar to stderr.
2025-08-26T19:47:00.3445460Z             Default: True
2025-08-26T19:47:00.3445770Z         check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
2025-08-26T19:47:00.3446180Z             ``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
2025-08-26T19:47:00.3446530Z             digits of the SHA256 hash of the contents of the file. The hash is used to
2025-08-26T19:47:00.3452540Z             ensure unique names and to verify the contents of the file.
2025-08-26T19:47:00.3452810Z             Default: False
2025-08-26T19:47:00.3453130Z         file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set.
2025-08-26T19:47:00.3453620Z         weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects.
2025-08-26T19:47:00.3454060Z             Recommended for untrusted sources. See :func:`~torch.load` for more details.
2025-08-26T19:47:00.3454300Z 
2025-08-26T19:47:00.3454350Z     Example:
2025-08-26T19:47:00.3454510Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-08-26T19:47:00.3454760Z         >>> state_dict = torch.hub.load_state_dict_from_url(
2025-08-26T19:47:00.3455080Z         ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth"
2025-08-26T19:47:00.3455330Z         ... )
2025-08-26T19:47:00.3455410Z 
2025-08-26T19:47:00.3455450Z     
2025-08-26T19:47:00.3455680Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.3455910Z 
2025-08-26T19:47:00.3456290Z msg = Cannot scrape callname=meshgrid in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py line=397.
2025-08-26T19:47:00.3456990Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.3457360Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors.
2025-08-26T19:47:00.3457580Z 
2025-08-26T19:47:00.3457690Z         This is helpful when you want to visualize data over some
2025-08-26T19:47:00.3457950Z         range of inputs. See below for a plotting example.
2025-08-26T19:47:00.3458120Z 
2025-08-26T19:47:00.3458220Z         Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as
2025-08-26T19:47:00.3458510Z         inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`,
2025-08-26T19:47:00.3458930Z         this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots
2025-08-26T19:47:00.3459210Z         G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where
2025-08-26T19:47:00.3459500Z         the output :math:`G_i` is constructed by expanding :math:`T_i`
2025-08-26T19:47:00.3459790Z         to the result shape.
2025-08-26T19:47:00.3459900Z 
2025-08-26T19:47:00.3459970Z         .. note::
2025-08-26T19:47:00.3460150Z             0D inputs are treated equivalently to 1D inputs of a
2025-08-26T19:47:00.3460370Z             single element.
2025-08-26T19:47:00.3460480Z 
2025-08-26T19:47:00.3460530Z         .. warning::
2025-08-26T19:47:00.3460730Z             `torch.meshgrid(*tensors)` currently has the same behavior
2025-08-26T19:47:00.3461000Z             as calling `numpy.meshgrid(*arrays, indexing='ij')`.
2025-08-26T19:47:00.3461170Z 
2025-08-26T19:47:00.3461260Z             In the future `torch.meshgrid` will transition to
2025-08-26T19:47:00.3461490Z             `indexing='xy'` as the default.
2025-08-26T19:47:00.3461630Z 
2025-08-26T19:47:00.3461740Z             https://github.com/pytorch/pytorch/issues/50276 tracks
2025-08-26T19:47:00.3462030Z             this issue with the goal of migrating to NumPy's behavior.
2025-08-26T19:47:00.3462210Z 
2025-08-26T19:47:00.3462260Z         .. seealso::
2025-08-26T19:47:00.3462350Z 
2025-08-26T19:47:00.3462460Z             :func:`torch.cartesian_prod` has the same effect but it
2025-08-26T19:47:00.3462710Z             collects the data in a tensor of vectors.
2025-08-26T19:47:00.3462860Z 
2025-08-26T19:47:00.3462910Z         Args:
2025-08-26T19:47:00.3463140Z             tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be
2025-08-26T19:47:00.3463470Z                 treated as tensors of size :math:`(1,)` automatically
2025-08-26T19:47:00.3463640Z 
2025-08-26T19:47:00.3463750Z             indexing: (str, optional): the indexing mode, either "xy"
2025-08-26T19:47:00.3464030Z                 or "ij", defaults to "ij". See warning for future changes.
2025-08-26T19:47:00.3464210Z 
2025-08-26T19:47:00.3464310Z                 If "xy" is selected, the first dimension corresponds
2025-08-26T19:47:00.3464570Z                 to the cardinality of the second input and the second
2025-08-26T19:47:00.3464850Z                 dimension corresponds to the cardinality of the first
2025-08-26T19:47:00.3465060Z                 input.
2025-08-26T19:47:00.3465160Z 
2025-08-26T19:47:00.3465250Z                 If "ij" is selected, the dimensions are in the same
2025-08-26T19:47:00.3465490Z                 order as the cardinality of the inputs.
2025-08-26T19:47:00.3465640Z 
2025-08-26T19:47:00.3465680Z         Returns:
2025-08-26T19:47:00.3465870Z             seq (sequence of Tensors): If the input has :math:`N`
2025-08-26T19:47:00.3466130Z             tensors of size :math:`S_0 \ldots S_{N-1}``, then the
2025-08-26T19:47:00.3466410Z             output will also have :math:`N` tensors, where each tensor
2025-08-26T19:47:00.3466670Z             is of shape :math:`(S_0, ..., S_{N-1})`.
2025-08-26T19:47:00.3466820Z 
2025-08-26T19:47:00.3466870Z         Example::
2025-08-26T19:47:00.3466960Z 
2025-08-26T19:47:00.3467020Z             >>> x = torch.tensor([1, 2, 3])
2025-08-26T19:47:00.3467210Z             >>> y = torch.tensor([4, 5, 6])
2025-08-26T19:47:00.3467430Z 
2025-08-26T19:47:00.3467550Z             Observe the element-wise pairings across the grid, (1, 4),
2025-08-26T19:47:00.3467820Z             (1, 5), ..., (3, 6). This is the same thing as the
2025-08-26T19:47:00.3468020Z             cartesian product.
2025-08-26T19:47:00.3468230Z             >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij')
2025-08-26T19:47:00.3468450Z             >>> grid_x
2025-08-26T19:47:00.3468590Z             tensor([[1, 1, 1],
2025-08-26T19:47:00.3468740Z                     [2, 2, 2],
2025-08-26T19:47:00.3468890Z                     [3, 3, 3]])
2025-08-26T19:47:00.3469040Z             >>> grid_y
2025-08-26T19:47:00.3469180Z             tensor([[4, 5, 6],
2025-08-26T19:47:00.3469530Z                     [4, 5, 6],
2025-08-26T19:47:00.3469700Z                     [4, 5, 6]])
2025-08-26T19:47:00.3469800Z 
2025-08-26T19:47:00.3469910Z             This correspondence can be seen when these grids are
2025-08-26T19:47:00.3470200Z             stacked properly.
2025-08-26T19:47:00.3470440Z             >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))),
2025-08-26T19:47:00.3470700Z             ...             torch.cartesian_prod(x, y))
2025-08-26T19:47:00.3470890Z             True
2025-08-26T19:47:00.3470970Z 
2025-08-26T19:47:00.3471080Z             `torch.meshgrid` is commonly used to produce a grid for
2025-08-26T19:47:00.3471300Z             plotting.
2025-08-26T19:47:00.3471470Z             >>> # xdoctest: +REQUIRES(module:matplotlib)
2025-08-26T19:47:00.3471690Z             >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW)
2025-08-26T19:47:00.3471910Z             >>> import matplotlib.pyplot as plt
2025-08-26T19:47:00.3472140Z             >>> xs = torch.linspace(-5, 5, steps=100)
2025-08-26T19:47:00.3472360Z             >>> ys = torch.linspace(-5, 5, steps=100)
2025-08-26T19:47:00.3472580Z             >>> x, y = torch.meshgrid(xs, ys, indexing='xy')
2025-08-26T19:47:00.3472810Z             >>> z = torch.sin(torch.sqrt(x * x + y * y))
2025-08-26T19:47:00.3473030Z             >>> ax = plt.axes(projection='3d')
2025-08-26T19:47:00.3473260Z             >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy())
2025-08-26T19:47:00.3473460Z             >>> plt.show()
2025-08-26T19:47:00.3473570Z 
2025-08-26T19:47:00.3473640Z         .. image:: ../_static/img/meshgrid.png
2025-08-26T19:47:00.3473830Z             :width: 512
2025-08-26T19:47:00.3473920Z 
2025-08-26T19:47:00.3473960Z         
2025-08-26T19:47:00.3474180Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.3474400Z 
2025-08-26T19:47:00.3474760Z msg = Cannot scrape callname=_unique_impl in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py line=793.
2025-08-26T19:47:00.3475350Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.3475800Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor]
2025-08-26T19:47:00.3476090Z 
2025-08-26T19:47:00.3476180Z     Returns the unique elements of the input tensor.
2025-08-26T19:47:00.3476340Z 
2025-08-26T19:47:00.3476520Z     .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that
2025-08-26T19:47:00.3476890Z         this function also eliminates non-consecutive duplicate values.
2025-08-26T19:47:00.3477080Z 
2025-08-26T19:47:00.3477220Z     .. note:: Currently in the CUDA implementation and the CPU implementation,
2025-08-26T19:47:00.3477600Z         `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument.
2025-08-26T19:47:00.3478020Z         Sorting could be slow, so if your input tensor is already sorted, it is recommended to use
2025-08-26T19:47:00.3478370Z         :func:`torch.unique_consecutive` which avoids the sorting.
2025-08-26T19:47:00.3478540Z 
2025-08-26T19:47:00.3478590Z     Args:
2025-08-26T19:47:00.3478720Z         input (Tensor): the input tensor
2025-08-26T19:47:00.3479030Z         sorted (bool): Whether to sort the unique elements in ascending order
2025-08-26T19:47:00.3479300Z             before returning as output.
2025-08-26T19:47:00.3479550Z         return_inverse (bool): Whether to also return the indices for where
2025-08-26T19:47:00.3479880Z             elements in the original input ended up in the returned unique list.
2025-08-26T19:47:00.3480220Z         return_counts (bool): Whether to also return the counts for each unique
2025-08-26T19:47:00.3480460Z             element.
2025-08-26T19:47:00.3480680Z         dim (int, optional): the dimension to operate upon. If ``None``, the
2025-08-26T19:47:00.3480990Z             unique of the flattened input is returned. Otherwise, each of the
2025-08-26T19:47:00.3481360Z             tensors indexed by the given dimension is treated as one of the
2025-08-26T19:47:00.3481680Z             elements to apply the unique operation upon. See examples for more
2025-08-26T19:47:00.3481970Z             details. Default: ``None``
2025-08-26T19:47:00.3482100Z 
2025-08-26T19:47:00.3482150Z     Returns:
2025-08-26T19:47:00.3482400Z         (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing
2025-08-26T19:47:00.3482640Z 
2025-08-26T19:47:00.3482760Z             - **output** (*Tensor*): the output list of unique scalar elements.
2025-08-26T19:47:00.3483030Z             - **inverse_indices** (*Tensor*): (optional) if
2025-08-26T19:47:00.3483290Z               :attr:`return_inverse` is True, there will be an additional
2025-08-26T19:47:00.3483600Z               returned tensor (same shape as input) representing the indices
2025-08-26T19:47:00.3483910Z               for where elements in the original input map to in the output;
2025-08-26T19:47:00.3484210Z               otherwise, this function will only return a single tensor.
2025-08-26T19:47:00.3484470Z             - **counts** (*Tensor*): (optional) if
2025-08-26T19:47:00.3484720Z               :attr:`return_counts` is True, there will be an additional
2025-08-26T19:47:00.3485010Z               returned tensor (same shape as output or output.size(dim),
2025-08-26T19:47:00.3485310Z               if dim was specified) representing the number of occurrences
2025-08-26T19:47:00.3485560Z               for each unique value or tensor.
2025-08-26T19:47:00.3485690Z 
2025-08-26T19:47:00.3485740Z     Example::
2025-08-26T19:47:00.3485810Z 
2025-08-26T19:47:00.3485940Z         >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long))
2025-08-26T19:47:00.3486180Z         >>> output
2025-08-26T19:47:00.3486310Z         tensor([1, 2, 3])
2025-08-26T19:47:00.3486410Z 
2025-08-26T19:47:00.3486490Z         >>> output, inverse_indices = torch.unique(
2025-08-26T19:47:00.3486780Z         ...     torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True)
2025-08-26T19:47:00.3487040Z         >>> output
2025-08-26T19:47:00.3487170Z         tensor([1, 2, 3])
2025-08-26T19:47:00.3487330Z         >>> inverse_indices
2025-08-26T19:47:00.3487490Z         tensor([0, 2, 1, 2])
2025-08-26T19:47:00.3487590Z 
2025-08-26T19:47:00.3487670Z         >>> output, inverse_indices = torch.unique(
2025-08-26T19:47:00.3487960Z         ...     torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True)
2025-08-26T19:47:00.3488210Z         >>> output
2025-08-26T19:47:00.3488340Z         tensor([1, 2, 3])
2025-08-26T19:47:00.3488490Z         >>> inverse_indices
2025-08-26T19:47:00.3488640Z         tensor([[0, 2],
2025-08-26T19:47:00.3488780Z                 [1, 2]])
2025-08-26T19:47:00.3488880Z 
2025-08-26T19:47:00.3488930Z         >>> a = torch.tensor([
2025-08-26T19:47:00.3489080Z         ...     [
2025-08-26T19:47:00.3489210Z         ...         [1, 1, 0, 0],
2025-08-26T19:47:00.3489370Z         ...         [1, 1, 0, 0],
2025-08-26T19:47:00.3489550Z         ...         [0, 0, 1, 1],
2025-08-26T19:47:00.3489700Z         ...     ],
2025-08-26T19:47:00.3489820Z         ...     [
2025-08-26T19:47:00.3489950Z         ...         [0, 0, 1, 1],
2025-08-26T19:47:00.3490150Z         ...         [0, 0, 1, 1],
2025-08-26T19:47:00.3490310Z         ...         [1, 1, 1, 1],
2025-08-26T19:47:00.3490460Z         ...     ],
2025-08-26T19:47:00.3490580Z         ...     [
2025-08-26T19:47:00.3490710Z         ...         [1, 1, 0, 0],
2025-08-26T19:47:00.3490860Z         ...         [1, 1, 0, 0],
2025-08-26T19:47:00.3491020Z         ...         [0, 0, 1, 1],
2025-08-26T19:47:00.3491170Z         ...     ],
2025-08-26T19:47:00.3491290Z         ... ])
2025-08-26T19:47:00.3491360Z 
2025-08-26T19:47:00.3491500Z         >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]`
2025-08-26T19:47:00.3491830Z         >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match
2025-08-26T19:47:00.3492140Z         >>> # each other, so one of them will be removed.
2025-08-26T19:47:00.3492360Z         >>> (a[0, :, :] == a[2, :, :]).all()
2025-08-26T19:47:00.3492540Z         tensor(True)
2025-08-26T19:47:00.3492740Z         >>> a_unique_dim0 = torch.unique(a, dim=0)
2025-08-26T19:47:00.3492940Z         >>> a_unique_dim0
2025-08-26T19:47:00.3493090Z         tensor([[[0, 0, 1, 1],
2025-08-26T19:47:00.3493240Z                  [0, 0, 1, 1],
2025-08-26T19:47:00.3493390Z                  [1, 1, 1, 1]],
2025-08-26T19:47:00.3493540Z                 [[1, 1, 0, 0],
2025-08-26T19:47:00.3493690Z                  [1, 1, 0, 0],
2025-08-26T19:47:00.3493840Z                  [0, 0, 1, 1]]])
2025-08-26T19:47:00.3493950Z 
2025-08-26T19:47:00.3494080Z         >>> # Notice which sub-tensors from `a` match with the sub-tensors from
2025-08-26T19:47:00.3494330Z         >>> # `a_unique_dim0`:
2025-08-26T19:47:00.3494510Z         >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all()
2025-08-26T19:47:00.3494700Z         tensor(True)
2025-08-26T19:47:00.3494870Z         >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all()
2025-08-26T19:47:00.3495050Z         tensor(True)
2025-08-26T19:47:00.3495140Z 
2025-08-26T19:47:00.3495270Z         >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are
2025-08-26T19:47:00.3495580Z         >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of
2025-08-26T19:47:00.3495820Z         >>> # them will be removed.
2025-08-26T19:47:00.3496000Z         >>> (a[:, 0, :] == a[:, 1, :]).all()
2025-08-26T19:47:00.3496170Z         tensor(True)
2025-08-26T19:47:00.3496320Z         >>> torch.unique(a, dim=1)
2025-08-26T19:47:00.3496490Z         tensor([[[0, 0, 1, 1],
2025-08-26T19:47:00.3496640Z                  [1, 1, 0, 0]],
2025-08-26T19:47:00.3496800Z                 [[1, 1, 1, 1],
2025-08-26T19:47:00.3496940Z                  [0, 0, 1, 1]],
2025-08-26T19:47:00.3497090Z                 [[0, 0, 1, 1],
2025-08-26T19:47:00.3497240Z                  [1, 1, 0, 0]]])
2025-08-26T19:47:00.3497350Z 
2025-08-26T19:47:00.3497480Z         >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared.
2025-08-26T19:47:00.3497790Z         >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and
2025-08-26T19:47:00.3498070Z         >>> # `a[:, :, 3]` match each other as well. So in this case, two of the
2025-08-26T19:47:00.3498310Z         >>> # sub-tensors will be removed.
2025-08-26T19:47:00.3498500Z         >>> (a[:, :, 0] == a[:, :, 1]).all()
2025-08-26T19:47:00.3498670Z         tensor(True)
2025-08-26T19:47:00.3498820Z         >>> (a[:, :, 2] == a[:, :, 3]).all()
2025-08-26T19:47:00.3498990Z         tensor(True)
2025-08-26T19:47:00.3499140Z         >>> torch.unique(a, dim=2)
2025-08-26T19:47:00.3499310Z         tensor([[[0, 1],
2025-08-26T19:47:00.3499460Z                  [0, 1],
2025-08-26T19:47:00.3499600Z                  [1, 0]],
2025-08-26T19:47:00.3499740Z                 [[1, 0],
2025-08-26T19:47:00.3499870Z                  [1, 0],
2025-08-26T19:47:00.3500010Z                  [1, 1]],
2025-08-26T19:47:00.3500160Z                 [[0, 1],
2025-08-26T19:47:00.3500290Z                  [0, 1],
2025-08-26T19:47:00.3500430Z                  [1, 0]]])
2025-08-26T19:47:00.3500610Z     
2025-08-26T19:47:00.3500820Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.3843960Z 
2025-08-26T19:47:00.3844510Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/serialization.py line=1285.
2025-08-26T19:47:00.3845120Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.3845570Z load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args)
2025-08-26T19:47:00.3845850Z 
2025-08-26T19:47:00.3845970Z     Loads an object saved with :func:`torch.save` from a file.
2025-08-26T19:47:00.3846170Z 
2025-08-26T19:47:00.3846490Z     :func:`torch.load` uses Python's unpickling facilities but treats storages,
2025-08-26T19:47:00.3846900Z     which underlie tensors, specially. They are first deserialized on the
2025-08-26T19:47:00.3847260Z     CPU and are then moved to the device they were saved from. If this fails
2025-08-26T19:47:00.3847710Z     (e.g. because the run time system doesn't have certain devices), an exception
2025-08-26T19:47:00.3848090Z     is raised. However, storages can be dynamically remapped to an alternative
2025-08-26T19:47:00.3848410Z     set of devices using the :attr:`map_location` argument.
2025-08-26T19:47:00.3848590Z 
2025-08-26T19:47:00.3848750Z     If :attr:`map_location` is a callable, it will be called once for each serialized
2025-08-26T19:47:00.3849130Z     storage with two arguments: storage and location. The storage argument
2025-08-26T19:47:00.3849500Z     will be the initial deserialization of the storage, residing on the CPU.
2025-08-26T19:47:00.3849850Z     Each serialized storage has a location tag associated with it which
2025-08-26T19:47:00.3850200Z     identifies the device it was saved from, and this tag is the second
2025-08-26T19:47:00.3850570Z     argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'``
2025-08-26T19:47:00.3850950Z     for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors.
2025-08-26T19:47:00.3851300Z     :attr:`map_location` should return either ``None`` or a storage. If
2025-08-26T19:47:00.3851660Z     :attr:`map_location` returns a storage, it will be used as the final deserialized
2025-08-26T19:47:00.3852070Z     object, already moved to the right device. Otherwise, :func:`torch.load` will
2025-08-26T19:47:00.3852440Z     fall back to the default behavior, as if :attr:`map_location` wasn't specified.
2025-08-26T19:47:00.3852670Z 
2025-08-26T19:47:00.3852820Z     If :attr:`map_location` is a :class:`torch.device` object or a string containing
2025-08-26T19:47:00.3853190Z     a device tag, it indicates the location where all tensors should be loaded.
2025-08-26T19:47:00.3853410Z 
2025-08-26T19:47:00.3853580Z     Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags
2025-08-26T19:47:00.3853950Z     appearing in the file (keys), to ones that specify where to put the
2025-08-26T19:47:00.3854210Z     storages (values).
2025-08-26T19:47:00.3854310Z 
2025-08-26T19:47:00.3854460Z     User extensions can register their own location tags and tagging and
2025-08-26T19:47:00.3854830Z     deserialization methods using :func:`torch.serialization.register_package`.
2025-08-26T19:47:00.3855070Z 
2025-08-26T19:47:00.3855230Z     See :ref:`layout-control` for more advanced tools to manipulate a checkpoint.
2025-08-26T19:47:00.3855460Z 
2025-08-26T19:47:00.3855500Z     Args:
2025-08-26T19:47:00.3855770Z         f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`),
2025-08-26T19:47:00.3856150Z             or a string or os.PathLike object containing a file name
2025-08-26T19:47:00.3856540Z         map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage
2025-08-26T19:47:00.3856860Z             locations
2025-08-26T19:47:00.3857110Z         pickle_module: module used for unpickling metadata and objects (has to
2025-08-26T19:47:00.3857540Z             match the :attr:`pickle_module` used to serialize file)
2025-08-26T19:47:00.3857870Z         weights_only: Indicates whether unpickler should be restricted to
2025-08-26T19:47:00.3858180Z             loading only tensors, primitive types, dictionaries
2025-08-26T19:47:00.3858490Z             and any types added via :func:`torch.serialization.add_safe_globals`.
2025-08-26T19:47:00.3864520Z             See :ref:`weights-only` for more details.
2025-08-26T19:47:00.3864890Z         mmap: Indicates whether the file should be mapped rather than loading all the storages into memory.
2025-08-26T19:47:00.3865380Z             Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they
2025-08-26T19:47:00.3865990Z             are moved to the location that they were tagged with when saving, or specified by ``map_location``. This
2025-08-26T19:47:00.3866480Z             second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the
2025-08-26T19:47:00.3867000Z             tensor storages from disk to CPU memory in the first step, ``f`` is mapped, which means tensor storages
2025-08-26T19:47:00.3867370Z             will be lazily loaded when their data is accessed.
2025-08-26T19:47:00.3867680Z         pickle_load_args: (Python 3 only) optional keyword arguments passed over to
2025-08-26T19:47:00.3868040Z             :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g.,
2025-08-26T19:47:00.3868290Z             :attr:`errors=...`.
2025-08-26T19:47:00.3868410Z 
2025-08-26T19:47:00.3868470Z     .. warning::
2025-08-26T19:47:00.3868680Z         :func:`torch.load()` unless `weights_only` parameter is set to `True`,
2025-08-26T19:47:00.3869010Z         uses ``pickle`` module implicitly, which is known to be insecure.
2025-08-26T19:47:00.3869370Z         It is possible to construct malicious pickle data which will execute arbitrary code
2025-08-26T19:47:00.3869750Z         during unpickling. Never load data that could have come from an untrusted
2025-08-26T19:47:00.3870140Z         source in an unsafe mode, or that could have been tampered with. **Only load data you trust**.
2025-08-26T19:47:00.3870390Z 
2025-08-26T19:47:00.3870430Z     .. note::
2025-08-26T19:47:00.3870670Z         When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors
2025-08-26T19:47:00.3871050Z         will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')``
2025-08-26T19:47:00.3871440Z         and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint.
2025-08-26T19:47:00.3871670Z 
2025-08-26T19:47:00.3871710Z     .. note::
2025-08-26T19:47:00.3871950Z         By default, we decode byte strings as ``utf-8``.  This is to avoid a common error
2025-08-26T19:47:00.3872300Z         case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...``
2025-08-26T19:47:00.3872630Z         when loading files saved by Python 2 in Python 3.  If this default
2025-08-26T19:47:00.3872980Z         is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how
2025-08-26T19:47:00.3873350Z         these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them
2025-08-26T19:47:00.3873710Z         to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them
2025-08-26T19:47:00.3874060Z         as byte arrays which can be decoded later with ``byte_array.decode(...)``.
2025-08-26T19:47:00.3874270Z 
2025-08-26T19:47:00.3874310Z     Example:
2025-08-26T19:47:00.3874470Z         >>> # xdoctest: +SKIP("undefined filepaths")
2025-08-26T19:47:00.3874700Z         >>> torch.load("tensors.pt", weights_only=True)
2025-08-26T19:47:00.3874910Z         # Load all tensors onto the CPU
2025-08-26T19:47:00.3875090Z         >>> torch.load(
2025-08-26T19:47:00.3875240Z         ...     "tensors.pt",
2025-08-26T19:47:00.3875440Z         ...     map_location=torch.device("cpu"),
2025-08-26T19:47:00.3875690Z         ...     weights_only=True,
2025-08-26T19:47:00.3875850Z         ... )
2025-08-26T19:47:00.3876020Z         # Load all tensors onto the CPU, using a function
2025-08-26T19:47:00.3876220Z         >>> torch.load(
2025-08-26T19:47:00.3876370Z         ...     "tensors.pt",
2025-08-26T19:47:00.3876560Z         ...     map_location=lambda storage, loc: storage,
2025-08-26T19:47:00.3876760Z         ...     weights_only=True,
2025-08-26T19:47:00.3876920Z         ... )
2025-08-26T19:47:00.3877050Z         # Load all tensors onto GPU 1
2025-08-26T19:47:00.3877220Z         >>> torch.load(
2025-08-26T19:47:00.3877370Z         ...     "tensors.pt",
2025-08-26T19:47:00.3877580Z         ...     map_location=lambda storage, loc: storage.cuda(1),
2025-08-26T19:47:00.3877850Z         ...     weights_only=True,
2025-08-26T19:47:00.3878040Z         ... )  # type: ignore[attr-defined]
2025-08-26T19:47:00.3878240Z         # Map tensors from GPU 1 to GPU 0
2025-08-26T19:47:00.3878470Z         >>> torch.load(
2025-08-26T19:47:00.3878610Z         ...     "tensors.pt",
2025-08-26T19:47:00.3878790Z         ...     map_location={"cuda:1": "cuda:0"},
2025-08-26T19:47:00.3878980Z         ...     weights_only=True,
2025-08-26T19:47:00.3879140Z         ... )
2025-08-26T19:47:00.3879290Z         # Load tensor from io.BytesIO object
2025-08-26T19:47:00.3879580Z         # Loading from a buffer setting weights_only=False, warning this can be unsafe
2025-08-26T19:47:00.3879870Z         >>> with open("tensor.pt", "rb") as f:
2025-08-26T19:47:00.3880080Z         ...     buffer = io.BytesIO(f.read())
2025-08-26T19:47:00.3880280Z         >>> torch.load(buffer, weights_only=False)
2025-08-26T19:47:00.3880520Z         # Load a module with 'ascii' encoding for unpickling
2025-08-26T19:47:00.3880830Z         # Loading from a module setting weights_only=False, warning this can be unsafe
2025-08-26T19:47:00.3881170Z         >>> torch.load("module.pt", encoding="ascii", weights_only=False)
2025-08-26T19:47:00.3881410Z     
2025-08-26T19:47:00.3881630Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.3881840Z 
2025-08-26T19:47:00.3882220Z msg = Cannot scrape callname=Future.then in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/futures/__init__.py line=101.
2025-08-26T19:47:00.3882810Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.3883040Z 
2025-08-26T19:47:00.3883180Z Append the given callback function to this ``Future``, which will be run
2025-08-26T19:47:00.3883510Z when the ``Future`` is completed.  Multiple callbacks can be added to
2025-08-26T19:47:00.3883830Z the same ``Future``, but the order in which they will be executed cannot
2025-08-26T19:47:00.3884130Z be guaranteed (to enforce a certain order consider chaining:
2025-08-26T19:47:00.3884430Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which
2025-08-26T19:47:00.3884740Z is the reference to this ``Future``. The callback function can use the
2025-08-26T19:47:00.3885070Z :meth:`value` method to get the value. Note that if this ``Future`` is
2025-08-26T19:47:00.3885390Z already completed, the given callback will be run immediately inline.
2025-08-26T19:47:00.3885590Z 
2025-08-26T19:47:00.3885710Z If the ``Future``'s value contains tensors that reside on GPUs, the
2025-08-26T19:47:00.3886030Z callback might be invoked while the async kernels that are populating
2025-08-26T19:47:00.3886360Z those tensors haven't yet finished executing on the device. However, the
2025-08-26T19:47:00.3886690Z callback will be invoked with some dedicated streams set as current
2025-08-26T19:47:00.3887010Z (fetched from a global pool) which will be synchronized with those
2025-08-26T19:47:00.3887340Z kernels. Hence any operation performed by the callback on these tensors
2025-08-26T19:47:00.3887680Z will be scheduled on the device after the kernels complete. In other
2025-08-26T19:47:00.3888000Z words, as long as the callback doesn't switch streams, it can safely
2025-08-26T19:47:00.3888380Z manipulate the result without any additional synchronization. This is
2025-08-26T19:47:00.3888680Z similar to the non-blocking behavior of :meth:`wait`.
2025-08-26T19:47:00.3888840Z 
2025-08-26T19:47:00.3888980Z Similarly, if the callback returns a value that contains tensors that
2025-08-26T19:47:00.3889290Z reside on a GPU, it can do so even if the kernels that are producing
2025-08-26T19:47:00.3889610Z these tensors are still running on the device, as long as the callback
2025-08-26T19:47:00.3889930Z didn't change streams during its execution. If one wants to change
2025-08-26T19:47:00.3890240Z streams, one must be careful to re-synchronize them with the original
2025-08-26T19:47:00.3890610Z streams, that is, those that were current when the callback was invoked.
2025-08-26T19:47:00.3890820Z 
2025-08-26T19:47:00.3890860Z Args:
2025-08-26T19:47:00.3891060Z     callback(``Callable``): a ``Callable`` that takes this ``Future`` as
2025-08-26T19:47:00.3891360Z                             the only argument.
2025-08-26T19:47:00.3891500Z 
2025-08-26T19:47:00.3891550Z Returns:
2025-08-26T19:47:00.3891720Z     A new ``Future`` object that holds the return value of the
2025-08-26T19:47:00.3892000Z     ``callback`` and will be marked as completed when the given
2025-08-26T19:47:00.3892230Z     ``callback`` finishes.
2025-08-26T19:47:00.3892330Z 
2025-08-26T19:47:00.3892470Z .. note:: Note that if the callback function throws, either
2025-08-26T19:47:00.3892790Z     through the original future being completed with an exception and
2025-08-26T19:47:00.3893120Z     calling ``fut.wait()``, or through other code in the callback, the
2025-08-26T19:47:00.3893440Z     future returned by ``then`` will be marked appropriately with the
2025-08-26T19:47:00.3893770Z     encountered error. However, if this callback later completes
2025-08-26T19:47:00.3894090Z     additional futures, those futures are not marked as completed with
2025-08-26T19:47:00.3894430Z     an error and the user is responsible for handling completion/waiting
2025-08-26T19:47:00.3894700Z     on those futures independently.
2025-08-26T19:47:00.3894830Z 
2025-08-26T19:47:00.3894880Z Example::
2025-08-26T19:47:00.3894960Z 
2025-08-26T19:47:00.3895050Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-08-26T19:47:00.3895270Z     >>> def callback(fut):
2025-08-26T19:47:00.3895470Z     ...     print(f"RPC return value is {fut.wait()}.")
2025-08-26T19:47:00.3895690Z     >>> fut = torch.futures.Future()
2025-08-26T19:47:00.3895920Z     >>> # The inserted callback will print the return value when
2025-08-26T19:47:00.3896170Z     >>> # receiving the response from "worker1"
2025-08-26T19:47:00.3896370Z     >>> cb_fut = fut.then(callback)
2025-08-26T19:47:00.3896550Z     >>> chain_cb_fut = cb_fut.then(
2025-08-26T19:47:00.3896770Z     ...     lambda x : print(f"Chained cb done. {x.wait()}")
2025-08-26T19:47:00.3896970Z     ... )
2025-08-26T19:47:00.3897090Z     >>> fut.set_result(5)
2025-08-26T19:47:00.3897250Z     RPC return value is 5.
2025-08-26T19:47:00.3897410Z     Chained cb done. None
2025-08-26T19:47:00.3897510Z 
2025-08-26T19:47:00.3897670Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.5163910Z 
2025-08-26T19:47:00.5164550Z msg = Cannot scrape callname=Future.set_result in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/futures/__init__.py line=211.
2025-08-26T19:47:00.5165220Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.5165460Z 
2025-08-26T19:47:00.5165600Z Set the result for this ``Future``, which will mark this ``Future`` as
2025-08-26T19:47:00.5165940Z completed and trigger all attached callbacks. Note that a ``Future``
2025-08-26T19:47:00.5166220Z cannot be marked completed twice.
2025-08-26T19:47:00.5166350Z 
2025-08-26T19:47:00.5166500Z If the result contains tensors that reside on GPUs, this method can be
2025-08-26T19:47:00.5166840Z called even if the asynchronous kernels that are populating those
2025-08-26T19:47:00.5167370Z tensors haven't yet completed running on the device, provided that the
2025-08-26T19:47:00.5167720Z streams on which those kernels were enqueued are set as the current ones
2025-08-26T19:47:00.5168070Z when this method is called. Put simply, it's safe to call this method
2025-08-26T19:47:00.5168420Z immediately after launching those kernels, without any additional
2025-08-26T19:47:00.5168770Z synchronization, as long as one doesn't change streams in between. This
2025-08-26T19:47:00.5169120Z method will record events on all the relevant current streams and will
2025-08-26T19:47:00.5169460Z use them to ensure proper scheduling for all the consumers of this
2025-08-26T19:47:00.5169710Z ``Future``.
2025-08-26T19:47:00.5169790Z 
2025-08-26T19:47:00.5169900Z Args:
2025-08-26T19:47:00.5170070Z     result (object): the result object of this ``Future``.
2025-08-26T19:47:00.5170250Z 
2025-08-26T19:47:00.5170310Z Example::
2025-08-26T19:47:00.5170460Z 
2025-08-26T19:47:00.5170560Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-08-26T19:47:00.5170760Z     >>> import threading
2025-08-26T19:47:00.5170900Z     >>> import time
2025-08-26T19:47:00.5171050Z     >>> def slow_set_future(fut, value):
2025-08-26T19:47:00.5171240Z     ...     time.sleep(0.5)
2025-08-26T19:47:00.5171400Z     ...     fut.set_result(value)
2025-08-26T19:47:00.5171580Z     >>> fut = torch.futures.Future()
2025-08-26T19:47:00.5171760Z     >>> t = threading.Thread(
2025-08-26T19:47:00.5171930Z     ...     target=slow_set_future,
2025-08-26T19:47:00.5172120Z     ...     args=(fut, torch.ones(2) * 3)
2025-08-26T19:47:00.5172290Z     ... )
2025-08-26T19:47:00.5172400Z     >>> t.start()
2025-08-26T19:47:00.5172540Z     >>> print(fut.wait())
2025-08-26T19:47:00.5172690Z     tensor([3., 3.])
2025-08-26T19:47:00.5172840Z     >>> t.join()
2025-08-26T19:47:00.5172920Z 
2025-08-26T19:47:00.5173080Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.5173300Z 
2025-08-26T19:47:00.5173680Z msg = Cannot scrape callname=compile_shader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/mps/__init__.py line=145.
2025-08-26T19:47:00.5174280Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.5174630Z Compiles compute shader from source and allows one to invoke kernels
2025-08-26T19:47:00.5174920Z     defined there from the comfort of Python runtime
2025-08-26T19:47:00.5175120Z     Example::
2025-08-26T19:47:00.5175200Z 
2025-08-26T19:47:00.5175280Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS)
2025-08-26T19:47:00.5175500Z         >>> lib = torch.mps.compile_shader(
2025-08-26T19:47:00.5175890Z         ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }"
2025-08-26T19:47:00.5176230Z         ...  )
2025-08-26T19:47:00.5176380Z         >>> x = torch.zeros(16, device="mps")
2025-08-26T19:47:00.5176580Z         >>> lib.full(x, 3.14)
2025-08-26T19:47:00.5176730Z     
2025-08-26T19:47:00.5176940Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.5177160Z 
2025-08-26T19:47:00.5177590Z msg = Cannot scrape callname=compute_required_storage_length in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_prims_common/__init__.py line=1877.
2025-08-26T19:47:00.5178240Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.5178600Z Computes the minimum storage size to hold the given tensor geometry.
2025-08-26T19:47:00.5178790Z 
2025-08-26T19:47:00.5178840Z     Example
2025-08-26T19:47:00.5178950Z     =======
2025-08-26T19:47:00.5179020Z 
2025-08-26T19:47:00.5179160Z     This is the size of a newly allocated tensor's storage, in units of elements
2025-08-26T19:47:00.5179370Z 
2025-08-26T19:47:00.5179430Z     >>> t = torch.empty((10, 20))
2025-08-26T19:47:00.5179780Z     >>> compute_required_storage_length(t.shape, t.stride(), t.storage_offset())
2025-08-26T19:47:00.5180040Z     200
2025-08-26T19:47:00.5180100Z 
2025-08-26T19:47:00.5180170Z     >>> # xdoctest: +SKIP(failing)
2025-08-26T19:47:00.5180380Z     >>> t2 = torch.empty_strided((1, 2, 3), (5, 7, 11))
2025-08-26T19:47:00.5180610Z     >>> size = compute_required_storage_length(
2025-08-26T19:47:00.5180830Z     ...     t2.shape, t2.stride(), t2.storage_offset()
2025-08-26T19:47:00.5181020Z     ... )
2025-08-26T19:47:00.5181140Z     >>> size == t.storage().size()
2025-08-26T19:47:00.5181300Z     True
2025-08-26T19:47:00.5181370Z 
2025-08-26T19:47:00.5181490Z     A valid tensor may have a larger storage size, but never smaller
2025-08-26T19:47:00.5181680Z 
2025-08-26T19:47:00.5181820Z     >>> slice = torch.empty(100)[20:40]
2025-08-26T19:47:00.5182010Z     >>> slice.storage().size()
2025-08-26T19:47:00.5182170Z     100
2025-08-26T19:47:00.5182230Z 
2025-08-26T19:47:00.5182360Z     >>> compute_required_storage_length(
2025-08-26T19:47:00.5182590Z     ...     slice.shape, slice.stride(), slice.storage_offset()
2025-08-26T19:47:00.5182810Z     ... )
2025-08-26T19:47:00.5182920Z     40
2025-08-26T19:47:00.5182980Z 
2025-08-26T19:47:00.5183020Z     
2025-08-26T19:47:00.5183230Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.5183450Z 
2025-08-26T19:47:00.5183800Z msg = Cannot scrape callname=cudart in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/__init__.py line=434.
2025-08-26T19:47:00.5184350Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:00.5184630Z Retrieves the CUDA runtime API module.
2025-08-26T19:47:00.5184760Z 
2025-08-26T19:47:00.5184770Z 
2025-08-26T19:47:00.5184920Z     This function initializes the CUDA runtime environment if it is not already
2025-08-26T19:47:00.5185290Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-08-26T19:47:00.5185640Z     runtime API module provides access to various CUDA runtime functions.
2025-08-26T19:47:00.5185840Z 
2025-08-26T19:47:00.5185880Z     Args:
2025-08-26T19:47:00.5185990Z         ``None``
2025-08-26T19:47:00.5186070Z 
2025-08-26T19:47:00.5186120Z     Returns:
2025-08-26T19:47:00.5186270Z         module: The CUDA runtime API module (_cudart).
2025-08-26T19:47:00.5186430Z 
2025-08-26T19:47:00.5186470Z     Raises:
2025-08-26T19:47:00.5186680Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-08-26T19:47:00.5187090Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-08-26T19:47:00.5187370Z 
2025-08-26T19:47:00.5187450Z     Example of CUDA operations with profiling:
2025-08-26T19:47:00.5187660Z         >>> import torch
2025-08-26T19:47:00.5187840Z         >>> from torch.cuda import cudart, check_error
2025-08-26T19:47:00.5188040Z         >>> import os
2025-08-26T19:47:00.5188170Z         >>>
2025-08-26T19:47:00.5188310Z         >>> os.environ["CUDA_PROFILE"] = "1"
2025-08-26T19:47:00.5188490Z         >>>
2025-08-26T19:47:00.5188640Z         >>> def perform_cuda_operations_with_streams():
2025-08-26T19:47:00.5188850Z         >>>     stream = torch.cuda.Stream()
2025-08-26T19:47:00.5189060Z         >>>     with torch.cuda.stream(stream):
2025-08-26T19:47:00.5189280Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-08-26T19:47:00.5189500Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-08-26T19:47:00.5189700Z         >>>         z = torch.mul(x, y)
2025-08-26T19:47:00.5189880Z         >>>     return z
2025-08-26T19:47:00.5190010Z         >>>
2025-08-26T19:47:00.5190150Z         >>> torch.cuda.synchronize()
2025-08-26T19:47:00.5190360Z         >>> print("====== Start nsys profiling ======")
2025-08-26T19:47:00.5190590Z         >>> check_error(cudart().cudaProfilerStart())
2025-08-26T19:47:00.5190830Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-08-26T19:47:00.5191140Z         >>>     result = perform_cuda_operations_with_streams()
2025-08-26T19:47:00.5191390Z         >>>     print("CUDA operations completed.")
2025-08-26T19:47:00.5191630Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-08-26T19:47:00.5191880Z         >>> print("====== End nsys profiling ======")
2025-08-26T19:47:00.5192030Z 
2025-08-26T19:47:00.5192150Z     To run this example and save the profiling information, execute:
2025-08-26T19:47:00.5192560Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-26T19:47:00.5192840Z 
2025-08-26T19:47:00.5193000Z     This command profiles the CUDA operations in the provided script and saves
2025-08-26T19:47:00.5193390Z     the profiling information to a file named `trace_name.prof`.
2025-08-26T19:47:00.5193730Z     The `--profile-from-start off` option ensures that profiling starts only
2025-08-26T19:47:00.5194040Z     after the `cudaProfilerStart` call in the script.
2025-08-26T19:47:00.5194380Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-08-26T19:47:00.5194670Z     CSV file and print a summary, respectively.
2025-08-26T19:47:00.5194970Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-08-26T19:47:00.5195290Z     overwrite of the output file if it already exists.
2025-08-26T19:47:00.5195480Z     
2025-08-26T19:47:00.5195930Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-08-26T19:47:00.5196370Z 
2025-08-26T19:47:00.5196580Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-26T19:47:00.5196900Z ^
2025-08-26T19:47:00.5197350Z msg = Cannot scrape callname=is_available in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/accelerator/__init__.py line=66.
2025-08-26T19:47:00.5197940Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:00.5198310Z Check if the current accelerator is available at runtime: it was build, all the
2025-08-26T19:47:00.5198670Z     required drivers are available and at least one device is visible.
2025-08-26T19:47:00.5198960Z     See :ref:`accelerator<accelerators>` for details.
2025-08-26T19:47:00.5199120Z 
2025-08-26T19:47:00.5199170Z     Returns:
2025-08-26T19:47:00.5199410Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-08-26T19:47:00.5199650Z 
2025-08-26T19:47:00.5199800Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-08-26T19:47:00.5200170Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-08-26T19:47:00.5200550Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-08-26T19:47:00.5200860Z         :ref:`multiprocessing-poison-fork-note`.
2025-08-26T19:47:00.5201010Z 
2025-08-26T19:47:00.5201060Z     Example::
2025-08-26T19:47:00.5201140Z 
2025-08-26T19:47:00.5201310Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T19:47:00.5201580Z     
2025-08-26T19:47:00.5201970Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-08-26T19:47:00.5202360Z 
2025-08-26T19:47:00.5202520Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T19:47:00.5208430Z                                         ^
2025-08-26T19:47:00.5208980Z msg = Cannot scrape callname=synchronize in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/accelerator/__init__.py line=212.
2025-08-26T19:47:00.5209580Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:00.5210020Z Wait for all kernels in all streams on the given device to complete.
2025-08-26T19:47:00.5210210Z 
2025-08-26T19:47:00.5210260Z     Args:
2025-08-26T19:47:00.5210520Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-08-26T19:47:00.5210930Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-08-26T19:47:00.5211270Z             use :func:`torch.accelerator.current_device_index` by default.
2025-08-26T19:47:00.5211460Z 
2025-08-26T19:47:00.5211650Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-08-26T19:47:00.5211910Z 
2025-08-26T19:47:00.5211950Z     Example::
2025-08-26T19:47:00.5212040Z 
2025-08-26T19:47:00.5212180Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-26T19:47:00.5212500Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T19:47:00.5212870Z         >>> start_event = torch.Event(enable_timing=True)
2025-08-26T19:47:00.5213110Z         >>> end_event = torch.Event(enable_timing=True)
2025-08-26T19:47:00.5213330Z         >>> start_event.record()
2025-08-26T19:47:00.5213590Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-08-26T19:47:00.5213870Z         >>> sum = torch.sum(tensor)
2025-08-26T19:47:00.5214050Z         >>> end_event.record()
2025-08-26T19:47:00.5214230Z         >>> torch.accelerator.synchronize()
2025-08-26T19:47:00.5214480Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-08-26T19:47:00.5214700Z     
2025-08-26T19:47:00.5215090Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-08-26T19:47:00.5215480Z 
2025-08-26T19:47:00.5215640Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T19:47:00.6287770Z                                         ^
2025-08-26T19:47:00.6288370Z msg = Cannot scrape callname=sum in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/sparse/__init__.py line=202.
2025-08-26T19:47:00.6288960Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.6289290Z Return the sum of each row of the given sparse tensor.
2025-08-26T19:47:00.6289460Z 
2025-08-26T19:47:00.6289600Z     Returns the sum of each row of the sparse tensor :attr:`input` in the given
2025-08-26T19:47:00.6289940Z     dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions,
2025-08-26T19:47:00.6290270Z     reduce over all of them. When sum over all ``sparse_dim``, this method
2025-08-26T19:47:00.6290580Z     returns a dense tensor instead of a sparse tensor.
2025-08-26T19:47:00.6290750Z 
2025-08-26T19:47:00.6290920Z     All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output
2025-08-26T19:47:00.6291280Z     tensor having :attr:`dim` fewer dimensions than :attr:`input`.
2025-08-26T19:47:00.6291470Z 
2025-08-26T19:47:00.6291620Z     During backward, only gradients at ``nnz`` locations of :attr:`input`
2025-08-26T19:47:00.6291980Z     will propagate back. Note that the gradients of :attr:`input` is coalesced.
2025-08-26T19:47:00.6292210Z 
2025-08-26T19:47:00.6292250Z     Args:
2025-08-26T19:47:00.6292400Z         input (Tensor): the input sparse tensor
2025-08-26T19:47:00.6292720Z         dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce
2025-08-26T19:47:00.6293020Z             over all dims.
2025-08-26T19:47:00.6293290Z         dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor.
2025-08-26T19:47:00.6293590Z             Default: dtype of :attr:`input`.
2025-08-26T19:47:00.6293730Z 
2025-08-26T19:47:00.6293800Z     Example::
2025-08-26T19:47:00.6293880Z 
2025-08-26T19:47:00.6293930Z         >>> nnz = 3
2025-08-26T19:47:00.6294070Z         >>> dims = [5, 5, 2, 3]
2025-08-26T19:47:00.6294460Z         >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)),
2025-08-26T19:47:00.6294750Z                            torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz)
2025-08-26T19:47:00.6295020Z         >>> V = torch.randn(nnz, dims[2], dims[3])
2025-08-26T19:47:00.6295220Z         >>> size = torch.Size(dims)
2025-08-26T19:47:00.6295430Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-26T19:47:00.6295660Z         >>> S = torch.sparse_coo_tensor(I, V, size)
2025-08-26T19:47:00.6295850Z         >>> S
2025-08-26T19:47:00.6295990Z         tensor(indices=tensor([[2, 0, 3],
2025-08-26T19:47:00.6296170Z                                [2, 4, 1]]),
2025-08-26T19:47:00.6296390Z                values=tensor([[[-0.6438, -1.6467,  1.4004],
2025-08-26T19:47:00.6296680Z                                [ 0.3411,  0.0918, -0.2312]],
2025-08-26T19:47:00.6296830Z 
2025-08-26T19:47:00.6296900Z                               [[ 0.5348,  0.0634, -2.0494],
2025-08-26T19:47:00.6297190Z                                [-0.7125, -1.0646,  2.1844]],
2025-08-26T19:47:00.6297330Z 
2025-08-26T19:47:00.6297400Z                               [[ 0.1276,  0.1874, -0.6334],
2025-08-26T19:47:00.6297600Z                                [-1.9682, -0.5340,  0.7483]]]),
2025-08-26T19:47:00.6297840Z                size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo)
2025-08-26T19:47:00.6297990Z 
2025-08-26T19:47:00.6298110Z         # when sum over only part of sparse_dims, return a sparse tensor
2025-08-26T19:47:00.6298360Z         >>> torch.sparse.sum(S, [1, 3])
2025-08-26T19:47:00.6298560Z         tensor(indices=tensor([[0, 2, 3]]),
2025-08-26T19:47:00.6298760Z                values=tensor([[-1.4512,  0.4073],
2025-08-26T19:47:00.6298950Z                               [-0.8901,  0.2017],
2025-08-26T19:47:00.6299150Z                               [-0.3183, -1.7539]]),
2025-08-26T19:47:00.6299370Z                size=(5, 2), nnz=3, layout=torch.sparse_coo)
2025-08-26T19:47:00.6299520Z 
2025-08-26T19:47:00.6299620Z         # when sum over all sparse dim, return a dense tensor
2025-08-26T19:47:00.6299840Z         # with summed dims squeezed
2025-08-26T19:47:00.6300030Z         >>> torch.sparse.sum(S, [0, 1, 3])
2025-08-26T19:47:00.6300210Z         tensor([-2.6596, -1.1450])
2025-08-26T19:47:00.6300370Z     
2025-08-26T19:47:00.6300590Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.6300810Z 
2025-08-26T19:47:00.6301210Z msg = Cannot scrape callname=as_sparse_gradcheck in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/sparse/__init__.py line=550.
2025-08-26T19:47:00.6301810Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.6302150Z Decorate function, to extend gradcheck for sparse tensors.
2025-08-26T19:47:00.6302330Z 
2025-08-26T19:47:00.6302470Z     Decorator for torch.autograd.gradcheck or its functools.partial
2025-08-26T19:47:00.6302800Z     variants that extends the gradcheck function with support to input
2025-08-26T19:47:00.6303100Z     functions that operate on or/and return sparse tensors.
2025-08-26T19:47:00.6303270Z 
2025-08-26T19:47:00.6303400Z     The specified gradcheck function itself is guaranteed to operate
2025-08-26T19:47:00.6303660Z     on strided tensors only.
2025-08-26T19:47:00.6303770Z 
2025-08-26T19:47:00.6303810Z     For example:
2025-08-26T19:47:00.6303900Z 
2025-08-26T19:47:00.6304050Z     >>> gradcheck = torch.sparse.as_sparse_gradcheck(torch.autograd.gradcheck)
2025-08-26T19:47:00.6304300Z     >>> x = (
2025-08-26T19:47:00.6304470Z     ...     torch.tensor([[0, 1], [2, 3]], dtype=torch.float64)
2025-08-26T19:47:00.6304690Z     ...     .to_sparse_coo()
2025-08-26T19:47:00.6304850Z     ...     .requires_grad_(True)
2025-08-26T19:47:00.6305020Z     ... )
2025-08-26T19:47:00.6305160Z     >>> gradcheck(lambda x: x.to_sparse_csr(), x)
2025-08-26T19:47:00.6305350Z     True
2025-08-26T19:47:00.6305460Z     
2025-08-26T19:47:00.6305670Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.6305960Z 
2025-08-26T19:47:00.6306320Z msg = Cannot scrape callname=vmap in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/apis.py line=39.
2025-08-26T19:47:00.6306880Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.6307110Z 
2025-08-26T19:47:00.6307250Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-08-26T19:47:00.6307570Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-08-26T19:47:00.6307900Z pushes the map into PyTorch operations called by ``func``, effectively
2025-08-26T19:47:00.6308160Z vectorizing those operations.
2025-08-26T19:47:00.6308280Z 
2025-08-26T19:47:00.6308480Z vmap is useful for handling batch dimensions: one can write a function
2025-08-26T19:47:00.6308810Z ``func`` that runs on examples and then lift it to a function that can
2025-08-26T19:47:00.6309170Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-08-26T19:47:00.6309470Z compute batched gradients when composed with autograd.
2025-08-26T19:47:00.6309640Z 
2025-08-26T19:47:00.6309680Z .. note::
2025-08-26T19:47:00.6309870Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-08-26T19:47:00.6310120Z     convenience. Use whichever one you'd like.
2025-08-26T19:47:00.6310270Z 
2025-08-26T19:47:00.6310310Z Args:
2025-08-26T19:47:00.6310500Z     func (function): A Python function that takes one or more arguments.
2025-08-26T19:47:00.6310760Z         Must return one or more Tensors.
2025-08-26T19:47:00.6311020Z     in_dims (int or nested structure): Specifies which dimension of the
2025-08-26T19:47:00.6311320Z         inputs should be mapped over. ``in_dims`` should have a
2025-08-26T19:47:00.6311620Z         structure like the inputs. If the ``in_dim`` for a particular
2025-08-26T19:47:00.6311920Z         input is None, then that indicates there is no map dimension.
2025-08-26T19:47:00.6312150Z         Default: 0.
2025-08-26T19:47:00.6312360Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-08-26T19:47:00.6312670Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-08-26T19:47:00.6312940Z         it should have one element per output. Default: 0.
2025-08-26T19:47:00.6313210Z     randomness (str): Specifies whether the randomness in this
2025-08-26T19:47:00.6313520Z         vmap should be the same or different across batches. If 'different',
2025-08-26T19:47:00.6313830Z         the randomness for each batch will be different. If 'same', the
2025-08-26T19:47:00.6314150Z         randomness will be the same across batches. If 'error', any calls to
2025-08-26T19:47:00.6314480Z         random functions will error. Default: 'error'. WARNING: this flag
2025-08-26T19:47:00.6314800Z         only applies to random PyTorch operations and does not apply to
2025-08-26T19:47:00.6315070Z         Python's random module or numpy randomness.
2025-08-26T19:47:00.6315370Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-08-26T19:47:00.6315710Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-08-26T19:47:00.6316060Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-08-26T19:47:00.6316440Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-08-26T19:47:00.6316670Z 
2025-08-26T19:47:00.6316720Z Returns:
2025-08-26T19:47:00.6316900Z     Returns a new "batched" function. It takes the same inputs as
2025-08-26T19:47:00.6317190Z     ``func``, except each input has an extra dimension at the index
2025-08-26T19:47:00.6317490Z     specified by ``in_dims``. It takes returns the same outputs as
2025-08-26T19:47:00.6317790Z     ``func``, except each output has an extra dimension at the index
2025-08-26T19:47:00.6318030Z     specified by ``out_dims``.
2025-08-26T19:47:00.6318150Z 
2025-08-26T19:47:00.6318240Z .. warning:
2025-08-26T19:47:00.6318430Z     :func:`vmap` works best with functional-style code. Please do not
2025-08-26T19:47:00.6318740Z     perform any side-effects in ``func``, with the exception of
2025-08-26T19:47:00.6319060Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-08-26T19:47:00.6319410Z     Python data structures and assigning values to variables not captured
2025-08-26T19:47:00.6319650Z     in ``func``.
2025-08-26T19:47:00.6319740Z 
2025-08-26T19:47:00.6319880Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-08-26T19:47:00.6320230Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-08-26T19:47:00.6320620Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-08-26T19:47:00.6320830Z 
2025-08-26T19:47:00.6320900Z     >>> torch.dot  # [D], [D] -> []
2025-08-26T19:47:00.6321150Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-08-26T19:47:00.6321470Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-26T19:47:00.6321680Z     >>> batched_dot(x, y)
2025-08-26T19:47:00.6321780Z 
2025-08-26T19:47:00.6321930Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-08-26T19:47:00.6322210Z model authoring experience.
2025-08-26T19:47:00.6322330Z 
2025-08-26T19:47:00.6322390Z     >>> batch_size, feature_size = 3, 5
2025-08-26T19:47:00.6322630Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-26T19:47:00.6322840Z     >>>
2025-08-26T19:47:00.6322960Z     >>> def model(feature_vec):
2025-08-26T19:47:00.6323150Z     >>> # Very simple linear model with activation
2025-08-26T19:47:00.6323380Z     >>>     return feature_vec.dot(weights).relu()
2025-08-26T19:47:00.6323570Z     >>>
2025-08-26T19:47:00.6323720Z     >>> examples = torch.randn(batch_size, feature_size)
2025-08-26T19:47:00.6323950Z     >>> result = torch.vmap(model)(examples)
2025-08-26T19:47:00.6324090Z 
2025-08-26T19:47:00.6324250Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-08-26T19:47:00.6324610Z or impossible to batch. One example is higher-order gradient computation.
2025-08-26T19:47:00.6324960Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-08-26T19:47:00.6325300Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-08-26T19:47:00.6325660Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-08-26T19:47:00.6326020Z we can vectorize the whole computation, computing the Jacobian in a single
2025-08-26T19:47:00.6326290Z call to ``autograd.grad``.
2025-08-26T19:47:00.6326400Z 
2025-08-26T19:47:00.6326450Z     >>> # Setup
2025-08-26T19:47:00.6326570Z     >>> N = 5
2025-08-26T19:47:00.6326700Z     >>> f = lambda x: x**2
2025-08-26T19:47:00.6326870Z     >>> x = torch.randn(N, requires_grad=True)
2025-08-26T19:47:00.6327060Z     >>> y = f(x)
2025-08-26T19:47:00.6327190Z     >>> I_N = torch.eye(N)
2025-08-26T19:47:00.6327390Z     >>>
2025-08-26T19:47:00.6327510Z     >>> # Sequential approach
2025-08-26T19:47:00.6327760Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-08-26T19:47:00.6328020Z     >>>                  for v in I_N.unbind()]
2025-08-26T19:47:00.6328240Z     >>> jacobian = torch.stack(jacobian_rows)
2025-08-26T19:47:00.6328420Z     >>>
2025-08-26T19:47:00.6328550Z     >>> # vectorized gradient computation
2025-08-26T19:47:00.6328730Z     >>> def get_vjp(v):
2025-08-26T19:47:00.6328900Z     >>>     return torch.autograd.grad(y, x, v)
2025-08-26T19:47:00.6329110Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-08-26T19:47:00.6329250Z 
2025-08-26T19:47:00.6329420Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-08-26T19:47:00.6329650Z 
2025-08-26T19:47:00.6329710Z     >>> torch.dot  # [D], [D] -> []
2025-08-26T19:47:00.6329900Z     >>> batched_dot = torch.vmap(
2025-08-26T19:47:00.6330070Z     ...     torch.vmap(torch.dot)
2025-08-26T19:47:00.6330320Z     ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-08-26T19:47:00.6330540Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-08-26T19:47:00.6330780Z     >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-08-26T19:47:00.6330920Z 
2025-08-26T19:47:00.6331070Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-08-26T19:47:00.6331380Z the dimension that each inputs are batched along as
2025-08-26T19:47:00.6331540Z 
2025-08-26T19:47:00.6331600Z     >>> torch.dot  # [N], [N] -> []
2025-08-26T19:47:00.6331860Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-08-26T19:47:00.6332140Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-26T19:47:00.6332320Z     >>> batched_dot(
2025-08-26T19:47:00.6332510Z     ...     x, y
2025-08-26T19:47:00.6332720Z     ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-08-26T19:47:00.6332910Z 
2025-08-26T19:47:00.6333120Z If there are multiple inputs each of which is batched along different dimensions,
2025-08-26T19:47:00.6333480Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-08-26T19:47:00.6333680Z 
2025-08-26T19:47:00.6333740Z     >>> torch.dot  # [D], [D] -> []
2025-08-26T19:47:00.6334010Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-08-26T19:47:00.6334300Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-26T19:47:00.6334490Z     >>> batched_dot(
2025-08-26T19:47:00.6334620Z     ...     x, y
2025-08-26T19:47:00.6334820Z     ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-08-26T19:47:00.6335010Z 
2025-08-26T19:47:00.6335160Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-08-26T19:47:00.6335440Z matching the shape of the input:
2025-08-26T19:47:00.6335560Z 
2025-08-26T19:47:00.6335650Z     >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-08-26T19:47:00.6335880Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-26T19:47:00.6336080Z     >>> input = {"x": x, "y": y}
2025-08-26T19:47:00.6336310Z     >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-08-26T19:47:00.6336550Z     >>> batched_dot(input)
2025-08-26T19:47:00.6336650Z 
2025-08-26T19:47:00.6336820Z By default, the output is batched along the first dimension. However, it can be batched
2025-08-26T19:47:00.6337130Z along any dimension by using ``out_dims``
2025-08-26T19:47:00.6337270Z 
2025-08-26T19:47:00.6337330Z     >>> f = lambda x: x**2
2025-08-26T19:47:00.6337490Z     >>> x = torch.randn(2, 5)
2025-08-26T19:47:00.6337670Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-08-26T19:47:00.6337870Z     >>> batched_pow(x)  # [5, 2]
2025-08-26T19:47:00.6337990Z 
2025-08-26T19:47:00.6338170Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-08-26T19:47:00.6338470Z accept kwargs
2025-08-26T19:47:00.6338550Z 
2025-08-26T19:47:00.6338620Z     >>> x = torch.randn([2, 5])
2025-08-26T19:47:00.6338790Z     >>> def fn(x, scale=4.):
2025-08-26T19:47:00.6338950Z     >>>   return x * scale
2025-08-26T19:47:00.6339100Z     >>>
2025-08-26T19:47:00.6339230Z     >>> batched_pow = torch.vmap(fn)
2025-08-26T19:47:00.6339440Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-08-26T19:47:00.6339730Z     >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-08-26T19:47:00.6339950Z 
2025-08-26T19:47:00.6340000Z .. note::
2025-08-26T19:47:00.6340200Z     vmap does not provide general autobatching or handle variable-length
2025-08-26T19:47:00.6340460Z     sequences out of the box.
2025-08-26T19:47:00.6340570Z 
2025-08-26T19:47:00.6340730Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.6340950Z 
2025-08-26T19:47:00.6341310Z msg = Cannot scrape callname=grad in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/apis.py line=306.
2025-08-26T19:47:00.6341930Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.6342310Z ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-08-26T19:47:00.6342640Z     input(s) specified by ``argnums``. This operator can be nested to
2025-08-26T19:47:00.6342900Z     compute higher-order gradients.
2025-08-26T19:47:00.6343030Z 
2025-08-26T19:47:00.6343080Z     Args:
2025-08-26T19:47:00.6343280Z         func (Callable): A Python function that takes one or more arguments.
2025-08-26T19:47:00.6343640Z             Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-08-26T19:47:00.6344040Z             function can return a tuple of single-element Tensor and other auxiliary objects:
2025-08-26T19:47:00.6344360Z             ``(output, aux)``.
2025-08-26T19:47:00.6344660Z         argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-08-26T19:47:00.6345030Z             ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-08-26T19:47:00.6345410Z         has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-08-26T19:47:00.6345720Z             auxiliary objects: ``(output, aux)``. Default: False.
2025-08-26T19:47:00.6345890Z 
2025-08-26T19:47:00.6345950Z     Returns:
2025-08-26T19:47:00.6346200Z         Function to compute gradients with respect to its inputs. By default, the output of
2025-08-26T19:47:00.6346590Z         the function is the gradient tensor(s) with respect to the first argument.
2025-08-26T19:47:00.6346970Z         If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-08-26T19:47:00.6347350Z         is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-08-26T19:47:00.6347660Z         respect to each ``argnums`` value is returned.
2025-08-26T19:47:00.6347820Z 
2025-08-26T19:47:00.6347880Z     Example of using ``grad``:
2025-08-26T19:47:00.6348000Z 
2025-08-26T19:47:00.6348050Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:00.6348220Z         >>> from torch.func import grad
2025-08-26T19:47:00.6348410Z         >>> x = torch.randn([])
2025-08-26T19:47:00.6348590Z         >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-08-26T19:47:00.6348810Z         >>> assert torch.allclose(cos_x, x.cos())
2025-08-26T19:47:00.6348990Z         >>>
2025-08-26T19:47:00.6349190Z         >>> # Second-order gradients
2025-08-26T19:47:00.6356010Z         >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-08-26T19:47:00.6356300Z         >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-08-26T19:47:00.6356450Z 
2025-08-26T19:47:00.6356610Z     When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-08-26T19:47:00.6356830Z 
2025-08-26T19:47:00.6356890Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:00.6357070Z         >>> from torch.func import grad, vmap
2025-08-26T19:47:00.6357280Z         >>> batch_size, feature_size = 3, 5
2025-08-26T19:47:00.6357450Z         >>>
2025-08-26T19:47:00.6357600Z         >>> def model(weights, feature_vec):
2025-08-26T19:47:00.6357810Z         >>> # Very simple linear model with activation
2025-08-26T19:47:00.6358020Z         >>>     assert feature_vec.dim() == 1
2025-08-26T19:47:00.6358230Z         >>>     return feature_vec.dot(weights).relu()
2025-08-26T19:47:00.6358420Z         >>>
2025-08-26T19:47:00.6358570Z         >>> def compute_loss(weights, example, target):
2025-08-26T19:47:00.6358780Z         >>>     y = model(weights, example)
2025-08-26T19:47:00.6359000Z         >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-08-26T19:47:00.6359190Z         >>>
2025-08-26T19:47:00.6359360Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-26T19:47:00.6359630Z         >>> examples = torch.randn(batch_size, feature_size)
2025-08-26T19:47:00.6359860Z         >>> targets = torch.randn(batch_size)
2025-08-26T19:47:00.6360070Z         >>> inputs = (weights, examples, targets)
2025-08-26T19:47:00.6360470Z         >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-08-26T19:47:00.6360730Z         ...     *inputs
2025-08-26T19:47:00.6360860Z         ... )
2025-08-26T19:47:00.6360940Z 
2025-08-26T19:47:00.6361050Z     Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-08-26T19:47:00.6361220Z 
2025-08-26T19:47:00.6361280Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:00.6361450Z         >>> from torch.func import grad
2025-08-26T19:47:00.6361640Z         >>> def my_loss_func(y, y_pred):
2025-08-26T19:47:00.6361850Z         >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-08-26T19:47:00.6362070Z         >>>    loss = loss_per_sample.mean()
2025-08-26T19:47:00.6362280Z         >>>    return loss, (y_pred, loss_per_sample)
2025-08-26T19:47:00.6362660Z         >>>
2025-08-26T19:47:00.6362830Z         >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-08-26T19:47:00.6363050Z         >>> y_true = torch.rand(4)
2025-08-26T19:47:00.6363300Z         >>> y_preds = torch.rand(4, requires_grad=True)
2025-08-26T19:47:00.6363510Z         >>> out = fn(y_true, y_preds)
2025-08-26T19:47:00.6363780Z         >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-08-26T19:47:00.6364000Z 
2025-08-26T19:47:00.6364050Z     .. note::
2025-08-26T19:47:00.6364240Z         Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-08-26T19:47:00.6364410Z 
2025-08-26T19:47:00.6364500Z         Case 1: Using ``torch.no_grad`` inside a function:
2025-08-26T19:47:00.6364660Z 
2025-08-26T19:47:00.6364710Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:00.6364880Z             >>> def f(x):
2025-08-26T19:47:00.6365040Z             >>>     with torch.no_grad():
2025-08-26T19:47:00.6365220Z             >>>         c = x ** 2
2025-08-26T19:47:00.6365390Z             >>>     return x - c
2025-08-26T19:47:00.6365500Z 
2025-08-26T19:47:00.6365620Z         In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-08-26T19:47:00.6365810Z 
2025-08-26T19:47:00.6365930Z         Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-08-26T19:47:00.6366110Z 
2025-08-26T19:47:00.6366160Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:00.6366340Z             >>> with torch.no_grad():
2025-08-26T19:47:00.6366510Z             >>>     grad(f)(x)
2025-08-26T19:47:00.6366620Z 
2025-08-26T19:47:00.6366750Z         In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-08-26T19:47:00.6367090Z         outer one. This is because ``grad`` is a "function transform": its result
2025-08-26T19:47:00.6367430Z         should not depend on the result of a context manager outside of ``f``.
2025-08-26T19:47:00.6367630Z 
2025-08-26T19:47:00.6367670Z     
2025-08-26T19:47:00.6367880Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.6368100Z 
2025-08-26T19:47:00.6368510Z msg = Cannot scrape callname=print_assert_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=286.
2025-08-26T19:47:00.6369130Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.6369350Z 
2025-08-26T19:47:00.6369490Z Test if two objects are equal, and print an error message if test fails.
2025-08-26T19:47:00.6369690Z 
2025-08-26T19:47:00.6369770Z The test is performed with ``actual == desired``.
2025-08-26T19:47:00.6369930Z 
2025-08-26T19:47:00.6369970Z Parameters
2025-08-26T19:47:00.6370090Z ----------
2025-08-26T19:47:00.6370200Z test_string : str
2025-08-26T19:47:00.6370350Z     The message supplied to AssertionError.
2025-08-26T19:47:00.6370540Z actual : object
2025-08-26T19:47:00.6370710Z     The object to test for equality against `desired`.
2025-08-26T19:47:00.6370910Z desired : object
2025-08-26T19:47:00.6371050Z     The expected result.
2025-08-26T19:47:00.6371150Z 
2025-08-26T19:47:00.6371190Z Examples
2025-08-26T19:47:00.6371300Z --------
2025-08-26T19:47:00.6371490Z >>> np.testing.print_assert_equal(
2025-08-26T19:47:00.6371680Z ...     "Test XYZ of func xyz", [0, 1], [0, 1]
2025-08-26T19:47:00.6371860Z ... )  # doctest: +SKIP
2025-08-26T19:47:00.6372020Z >>> np.testing.print_assert_equal(
2025-08-26T19:47:00.6372210Z ...     "Test XYZ of func xyz", [0, 1], [0, 2]
2025-08-26T19:47:00.6372390Z ... )  # doctest: +SKIP
2025-08-26T19:47:00.6372540Z Traceback (most recent call last):
2025-08-26T19:47:00.6372700Z ...
2025-08-26T19:47:00.6372830Z AssertionError: Test XYZ of func xyz failed
2025-08-26T19:47:00.6373010Z ACTUAL:
2025-08-26T19:47:00.6373120Z [0, 1]
2025-08-26T19:47:00.6373220Z DESIRED:
2025-08-26T19:47:00.6373320Z [0, 2]
2025-08-26T19:47:00.6373390Z 
2025-08-26T19:47:00.6373390Z 
2025-08-26T19:47:00.6373590Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.6373820Z 
2025-08-26T19:47:00.6374220Z msg = Cannot scrape callname=assert_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=331.
2025-08-26T19:47:00.6374880Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.6375100Z 
2025-08-26T19:47:00.6375230Z Raises an AssertionError if two items are not equal up to desired
2025-08-26T19:47:00.6375460Z precision.
2025-08-26T19:47:00.6375530Z 
2025-08-26T19:47:00.6375640Z .. note:: It is recommended to use one of `assert_allclose`,
2025-08-26T19:47:00.6375920Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-08-26T19:47:00.6376220Z           instead of this function for more consistent floating point
2025-08-26T19:47:00.6376450Z           comparisons.
2025-08-26T19:47:00.6376540Z 
2025-08-26T19:47:00.6376680Z The test verifies that the elements of `actual` and `desired` satisfy.
2025-08-26T19:47:00.6376870Z 
2025-08-26T19:47:00.6376970Z     ``abs(desired-actual) < float64(1.5 * 10**(-decimal))``
2025-08-26T19:47:00.6377130Z 
2025-08-26T19:47:00.6377280Z That is a looser test than originally documented, but agrees with what the
2025-08-26T19:47:00.6377620Z actual implementation in `assert_array_almost_equal` did up to rounding
2025-08-26T19:47:00.6377970Z vagaries. An exception is raised at conflicting values. For ndarrays this
2025-08-26T19:47:00.6378240Z delegates to assert_array_almost_equal
2025-08-26T19:47:00.6378380Z 
2025-08-26T19:47:00.6378420Z Parameters
2025-08-26T19:47:00.6378530Z ----------
2025-08-26T19:47:00.6378650Z actual : array_like
2025-08-26T19:47:00.6378780Z     The object to check.
2025-08-26T19:47:00.6378930Z desired : array_like
2025-08-26T19:47:00.6379070Z     The expected object.
2025-08-26T19:47:00.6379210Z decimal : int, optional
2025-08-26T19:47:00.6379370Z     Desired precision, default is 7.
2025-08-26T19:47:00.6379550Z err_msg : str, optional
2025-08-26T19:47:00.6379730Z     The error message to be printed in case of failure.
2025-08-26T19:47:00.6379950Z verbose : bool, optional
2025-08-26T19:47:00.6380170Z     If True, the conflicting values are appended to the error message.
2025-08-26T19:47:00.6380360Z 
2025-08-26T19:47:00.6380410Z Raises
2025-08-26T19:47:00.6380510Z ------
2025-08-26T19:47:00.6380620Z AssertionError
2025-08-26T19:47:00.6380820Z   If actual and desired are not equal up to specified precision.
2025-08-26T19:47:00.6381000Z 
2025-08-26T19:47:00.6381040Z See Also
2025-08-26T19:47:00.6381150Z --------
2025-08-26T19:47:00.6381350Z assert_allclose: Compare two array_like objects for equality with desired
2025-08-26T19:47:00.6381630Z                  relative and/or absolute precision.
2025-08-26T19:47:00.6381910Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-26T19:47:00.6382100Z 
2025-08-26T19:47:00.6382150Z Examples
2025-08-26T19:47:00.6382250Z --------
2025-08-26T19:47:00.6382420Z >>> from torch._numpy.testing import assert_almost_equal
2025-08-26T19:47:00.6382670Z >>> assert_almost_equal(2.3333333333333, 2.33333334)
2025-08-26T19:47:00.6382920Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10)
2025-08-26T19:47:00.6383200Z Traceback (most recent call last):
2025-08-26T19:47:00.6383360Z     ...
2025-08-26T19:47:00.6383470Z AssertionError:
2025-08-26T19:47:00.6383620Z Arrays are not almost equal to 10 decimals
2025-08-26T19:47:00.6383810Z  ACTUAL: 2.3333333333333
2025-08-26T19:47:00.6383950Z  DESIRED: 2.33333334
2025-08-26T19:47:00.6384040Z 
2025-08-26T19:47:00.6384090Z >>> assert_almost_equal(
2025-08-26T19:47:00.6384310Z ...     np.array([1.0, 2.3333333333333]), np.array([1.0, 2.33333334]), decimal=9
2025-08-26T19:47:00.6384540Z ... )
2025-08-26T19:47:00.6384660Z Traceback (most recent call last):
2025-08-26T19:47:00.6384830Z     ...
2025-08-26T19:47:00.6384940Z AssertionError:
2025-08-26T19:47:00.6385090Z Arrays are not almost equal to 9 decimals
2025-08-26T19:47:00.6385320Z <BLANKLINE>
2025-08-26T19:47:00.6385460Z Mismatched elements: 1 / 2 (50%)
2025-08-26T19:47:00.6385650Z Max absolute difference: 6.666699636781459e-09
2025-08-26T19:47:00.6385870Z Max relative difference: 2.8571569790287484e-09
2025-08-26T19:47:00.6386130Z  x: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-08-26T19:47:00.6386360Z  y: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-08-26T19:47:00.6386510Z 
2025-08-26T19:47:00.6386510Z 
2025-08-26T19:47:00.6386670Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.6386880Z 
2025-08-26T19:47:00.6387280Z msg = Cannot scrape callname=assert_approx_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=457.
2025-08-26T19:47:00.6387920Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.6388140Z 
2025-08-26T19:47:00.6388280Z Raises an AssertionError if two items are not equal up to significant
2025-08-26T19:47:00.6388530Z digits.
2025-08-26T19:47:00.6388590Z 
2025-08-26T19:47:00.6388700Z .. note:: It is recommended to use one of `assert_allclose`,
2025-08-26T19:47:00.6388980Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-08-26T19:47:00.6389270Z           instead of this function for more consistent floating point
2025-08-26T19:47:00.6389500Z           comparisons.
2025-08-26T19:47:00.6389600Z 
2025-08-26T19:47:00.6389710Z Given two numbers, check that they are approximately equal.
2025-08-26T19:47:00.6390020Z Approximately equal is defined as the number of significant digits
2025-08-26T19:47:00.6390260Z that agree.
2025-08-26T19:47:00.6390330Z 
2025-08-26T19:47:00.6390380Z Parameters
2025-08-26T19:47:00.6390490Z ----------
2025-08-26T19:47:00.6390600Z actual : scalar
2025-08-26T19:47:00.6390730Z     The object to check.
2025-08-26T19:47:00.6390880Z desired : scalar
2025-08-26T19:47:00.6391010Z     The expected object.
2025-08-26T19:47:00.6391160Z significant : int, optional
2025-08-26T19:47:00.6391330Z     Desired precision, default is 7.
2025-08-26T19:47:00.6391510Z err_msg : str, optional
2025-08-26T19:47:00.6391690Z     The error message to be printed in case of failure.
2025-08-26T19:47:00.6391910Z verbose : bool, optional
2025-08-26T19:47:00.6392130Z     If True, the conflicting values are appended to the error message.
2025-08-26T19:47:00.6392320Z 
2025-08-26T19:47:00.6392360Z Raises
2025-08-26T19:47:00.6392460Z ------
2025-08-26T19:47:00.6392570Z AssertionError
2025-08-26T19:47:00.6392770Z   If actual and desired are not equal up to specified precision.
2025-08-26T19:47:00.6392960Z 
2025-08-26T19:47:00.6393010Z See Also
2025-08-26T19:47:00.6393120Z --------
2025-08-26T19:47:00.6393340Z assert_allclose: Compare two array_like objects for equality with desired
2025-08-26T19:47:00.6393620Z                  relative and/or absolute precision.
2025-08-26T19:47:00.6393890Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-26T19:47:00.6394090Z 
2025-08-26T19:47:00.6394130Z Examples
2025-08-26T19:47:00.6394240Z --------
2025-08-26T19:47:00.6394360Z >>> np.testing.assert_approx_equal(
2025-08-26T19:47:00.6394550Z ...     0.12345677777777e-20, 0.1234567e-20
2025-08-26T19:47:00.6394780Z ... )  # doctest: +SKIP
2025-08-26T19:47:00.6394930Z >>> np.testing.assert_approx_equal(
2025-08-26T19:47:00.6395100Z ...     0.12345670e-20,
2025-08-26T19:47:00.6395260Z ...     0.12345671e-20,  # doctest: +SKIP
2025-08-26T19:47:00.6395430Z ...     significant=8,
2025-08-26T19:47:00.6395560Z ... )
2025-08-26T19:47:00.6395690Z >>> np.testing.assert_approx_equal(
2025-08-26T19:47:00.6395850Z ...     0.12345670e-20,
2025-08-26T19:47:00.6396000Z ...     0.12345672e-20,  # doctest: +SKIP
2025-08-26T19:47:00.6396170Z ...     significant=8,
2025-08-26T19:47:00.6396310Z ... )
2025-08-26T19:47:00.6396430Z Traceback (most recent call last):
2025-08-26T19:47:00.6396590Z     ...
2025-08-26T19:47:00.6396710Z AssertionError:
2025-08-26T19:47:00.6396900Z Items are not equal to 8 significant digits:
2025-08-26T19:47:00.6397090Z  ACTUAL: 1.234567e-21
2025-08-26T19:47:00.6397230Z  DESIRED: 1.2345672e-21
2025-08-26T19:47:00.6397330Z 
2025-08-26T19:47:00.6397450Z the evaluated condition that raises the exception is
2025-08-26T19:47:00.6397620Z 
2025-08-26T19:47:00.6397750Z >>> abs(0.12345670e-20 / 1e-21 - 0.12345672e-20 / 1e-21) >= 10 ** -(8 - 1)
2025-08-26T19:47:00.6397970Z True
2025-08-26T19:47:00.6398040Z 
2025-08-26T19:47:00.6398040Z 
2025-08-26T19:47:00.6398190Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.7987880Z 
2025-08-26T19:47:00.7988640Z msg = Cannot scrape callname=assert_array_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=744.
2025-08-26T19:47:00.7989320Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.7989560Z 
2025-08-26T19:47:00.7989720Z Raises an AssertionError if two array_like objects are not equal.
2025-08-26T19:47:00.7989930Z 
2025-08-26T19:47:00.7990100Z Given two array_like objects, check that the shape is equal and all
2025-08-26T19:47:00.7990440Z elements of these objects are equal (but see the Notes for the special
2025-08-26T19:47:00.7990790Z handling of a scalar). An exception is raised at shape mismatch or
2025-08-26T19:47:00.7991130Z conflicting values. In contrast to the standard usage in numpy, NaNs
2025-08-26T19:47:00.7991480Z are compared like numbers, no assertion is raised if both objects have
2025-08-26T19:47:00.7991750Z NaNs in the same positions.
2025-08-26T19:47:00.7991860Z 
2025-08-26T19:47:00.7992010Z The usual caution for verifying equality with floating point numbers is
2025-08-26T19:47:00.7992260Z advised.
2025-08-26T19:47:00.7992330Z 
2025-08-26T19:47:00.7992380Z Parameters
2025-08-26T19:47:00.7992500Z ----------
2025-08-26T19:47:00.7992620Z x : array_like
2025-08-26T19:47:00.7992760Z     The actual object to check.
2025-08-26T19:47:00.7992930Z y : array_like
2025-08-26T19:47:00.7993070Z     The desired, expected object.
2025-08-26T19:47:00.7993250Z err_msg : str, optional
2025-08-26T19:47:00.7993450Z     The error message to be printed in case of failure.
2025-08-26T19:47:00.7993680Z verbose : bool, optional
2025-08-26T19:47:00.7993920Z     If True, the conflicting values are appended to the error message.
2025-08-26T19:47:00.7994170Z strict : bool, optional
2025-08-26T19:47:00.7994400Z     If True, raise an AssertionError when either the shape or the data
2025-08-26T19:47:00.7994700Z     type of the array_like objects does not match. The special
2025-08-26T19:47:00.7995010Z     handling for scalars mentioned in the Notes section is disabled.
2025-08-26T19:47:00.7995210Z 
2025-08-26T19:47:00.7995250Z Raises
2025-08-26T19:47:00.7995360Z ------
2025-08-26T19:47:00.7995470Z AssertionError
2025-08-26T19:47:00.7995640Z     If actual and desired objects are not equal.
2025-08-26T19:47:00.7995790Z 
2025-08-26T19:47:00.7995840Z See Also
2025-08-26T19:47:00.7995950Z --------
2025-08-26T19:47:00.7996170Z assert_allclose: Compare two array_like objects for equality with desired
2025-08-26T19:47:00.7996470Z                  relative and/or absolute precision.
2025-08-26T19:47:00.7997050Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-26T19:47:00.7997260Z 
2025-08-26T19:47:00.7997300Z Notes
2025-08-26T19:47:00.7997410Z -----
2025-08-26T19:47:00.7997600Z When one of `x` and `y` is a scalar and the other is array_like, the
2025-08-26T19:47:00.7997920Z function checks that each element of the array_like object is equal to
2025-08-26T19:47:00.7998270Z the scalar. This behaviour can be disabled with the `strict` parameter.
2025-08-26T19:47:00.7998470Z 
2025-08-26T19:47:00.7998520Z Examples
2025-08-26T19:47:00.7998630Z --------
2025-08-26T19:47:00.7998780Z The first assert does not raise an exception:
2025-08-26T19:47:00.7998940Z 
2025-08-26T19:47:00.7999010Z >>> np.testing.assert_array_equal(
2025-08-26T19:47:00.7999320Z ...     [1.0, 2.33333, np.nan], [np.exp(0), 2.33333, np.nan]
2025-08-26T19:47:00.7999540Z ... )
2025-08-26T19:47:00.7999610Z 
2025-08-26T19:47:00.7999750Z Use `assert_allclose` or one of the nulp (number of floating point values)
2025-08-26T19:47:00.8000120Z functions for these cases instead:
2025-08-26T19:47:00.8000250Z 
2025-08-26T19:47:00.8000320Z >>> np.testing.assert_allclose(
2025-08-26T19:47:00.8000570Z ...     [1.0, np.pi, np.nan], [1, np.sqrt(np.pi) ** 2, np.nan], rtol=1e-10, atol=0
2025-08-26T19:47:00.8000810Z ... )
2025-08-26T19:47:00.8000870Z 
2025-08-26T19:47:00.8001010Z As mentioned in the Notes section, `assert_array_equal` has special
2025-08-26T19:47:00.8001350Z handling for scalars. Here the test checks that each value in `x` is 3:
2025-08-26T19:47:00.8001350Z 
2025-08-26T19:47:00.8001410Z >>> x = np.full((2, 5), fill_value=3)
2025-08-26T19:47:00.8001480Z >>> np.testing.assert_array_equal(x, 3)
2025-08-26T19:47:00.8001480Z 
2025-08-26T19:47:00.8001620Z Use `strict` to raise an AssertionError when comparing a scalar with an
2025-08-26T19:47:00.8001670Z array:
2025-08-26T19:47:00.8001670Z 
2025-08-26T19:47:00.8001760Z >>> np.testing.assert_array_equal(x, 3, strict=True)
2025-08-26T19:47:00.8001830Z Traceback (most recent call last):
2025-08-26T19:47:00.8001880Z     ...
2025-08-26T19:47:00.8001930Z AssertionError:
2025-08-26T19:47:00.8001980Z Arrays are not equal
2025-08-26T19:47:00.8002030Z <BLANKLINE>
2025-08-26T19:47:00.8002090Z (shapes (2, 5), () mismatch)
2025-08-26T19:47:00.8002150Z  x: torch.ndarray([[3, 3, 3, 3, 3],
2025-08-26T19:47:00.8002240Z         [3, 3, 3, 3, 3]])
2025-08-26T19:47:00.8002300Z  y: torch.ndarray(3)
2025-08-26T19:47:00.8002300Z 
2025-08-26T19:47:00.8002450Z The `strict` parameter also ensures that the array data types match:
2025-08-26T19:47:00.8002460Z 
2025-08-26T19:47:00.8002510Z >>> x = np.array([2, 2, 2])
2025-08-26T19:47:00.8002610Z >>> y = np.array([2.0, 2.0, 2.0], dtype=np.float32)
2025-08-26T19:47:00.8002720Z >>> np.testing.assert_array_equal(x, y, strict=True)
2025-08-26T19:47:00.8009630Z Traceback (most recent call last):
2025-08-26T19:47:00.8009690Z     ...
2025-08-26T19:47:00.8009750Z AssertionError:
2025-08-26T19:47:00.8009800Z Arrays are not equal
2025-08-26T19:47:00.8009850Z <BLANKLINE>
2025-08-26T19:47:00.8009940Z (dtypes dtype("int64"), dtype("float32") mismatch)
2025-08-26T19:47:00.8010000Z  x: torch.ndarray([2, 2, 2])
2025-08-26T19:47:00.8010060Z  y: torch.ndarray([2., 2., 2.])
2025-08-26T19:47:00.8010060Z 
2025-08-26T19:47:00.8010230Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.8010230Z 
2025-08-26T19:47:00.8010670Z msg = Cannot scrape callname=assert_array_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=851.
2025-08-26T19:47:00.8010830Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.8010840Z 
2025-08-26T19:47:00.8010970Z Raises an AssertionError if two objects are not equal up to desired
2025-08-26T19:47:00.8011020Z precision.
2025-08-26T19:47:00.8011020Z 
2025-08-26T19:47:00.8011160Z .. note:: It is recommended to use one of `assert_allclose`,
2025-08-26T19:47:00.8011280Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-08-26T19:47:00.8011490Z           instead of this function for more consistent floating point
2025-08-26T19:47:00.8011550Z           comparisons.
2025-08-26T19:47:00.8011550Z 
2025-08-26T19:47:00.8011700Z The test verifies identical shapes and that the elements of ``actual`` and
2025-08-26T19:47:00.8011750Z ``desired`` satisfy.
2025-08-26T19:47:00.8011760Z 
2025-08-26T19:47:00.8011850Z     ``abs(desired-actual) < 1.5 * 10**(-decimal)``
2025-08-26T19:47:00.8011850Z 
2025-08-26T19:47:00.8011990Z That is a looser test than originally documented, but agrees with what the
2025-08-26T19:47:00.8012150Z actual implementation did up to rounding vagaries. An exception is raised
2025-08-26T19:47:00.8012340Z at shape mismatch or conflicting values. In contrast to the standard usage
2025-08-26T19:47:00.8012490Z in numpy, NaNs are compared like numbers, no assertion is raised if both
2025-08-26T19:47:00.8012560Z objects have NaNs in the same positions.
2025-08-26T19:47:00.8012600Z 
2025-08-26T19:47:00.8012660Z Parameters
2025-08-26T19:47:00.8012700Z ----------
2025-08-26T19:47:00.8012750Z x : array_like
2025-08-26T19:47:00.8012810Z     The actual object to check.
2025-08-26T19:47:00.8012860Z y : array_like
2025-08-26T19:47:00.8012920Z     The desired, expected object.
2025-08-26T19:47:00.8012970Z decimal : int, optional
2025-08-26T19:47:00.8013040Z     Desired precision, default is 6.
2025-08-26T19:47:00.8013090Z err_msg : str, optional
2025-08-26T19:47:00.8013190Z   The error message to be printed in case of failure.
2025-08-26T19:47:00.8013250Z verbose : bool, optional
2025-08-26T19:47:00.8013380Z     If True, the conflicting values are appended to the error message.
2025-08-26T19:47:00.8013380Z 
2025-08-26T19:47:00.8013430Z Raises
2025-08-26T19:47:00.8013480Z ------
2025-08-26T19:47:00.8013530Z AssertionError
2025-08-26T19:47:00.8013650Z     If actual and desired are not equal up to specified precision.
2025-08-26T19:47:00.8013660Z 
2025-08-26T19:47:00.8013700Z See Also
2025-08-26T19:47:00.8013750Z --------
2025-08-26T19:47:00.8013900Z assert_allclose: Compare two array_like objects for equality with desired
2025-08-26T19:47:00.8013980Z                  relative and/or absolute precision.
2025-08-26T19:47:00.8014110Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-26T19:47:00.8014110Z 
2025-08-26T19:47:00.8014160Z Examples
2025-08-26T19:47:00.8014200Z --------
2025-08-26T19:47:00.8014280Z the first assert does not raise an exception
2025-08-26T19:47:00.8014280Z 
2025-08-26T19:47:00.8014440Z >>> np.testing.assert_array_almost_equal([1.0, 2.333, np.nan], [1.0, 2.333, np.nan])
2025-08-26T19:47:00.8014440Z 
2025-08-26T19:47:00.8014510Z >>> np.testing.assert_array_almost_equal(
2025-08-26T19:47:00.8014620Z ...     [1.0, 2.33333, np.nan], [1.0, 2.33339, np.nan], decimal=5
2025-08-26T19:47:00.8014660Z ... )
2025-08-26T19:47:00.8014730Z Traceback (most recent call last):
2025-08-26T19:47:00.8014770Z     ...
2025-08-26T19:47:00.8014820Z AssertionError:
2025-08-26T19:47:00.8014890Z Arrays are not almost equal to 5 decimals
2025-08-26T19:47:00.8014940Z <BLANKLINE>
2025-08-26T19:47:00.8015000Z Mismatched elements: 1 / 3 (33.3%)
2025-08-26T19:47:00.8015080Z Max absolute difference: 5.999999999994898e-05
2025-08-26T19:47:00.8015160Z Max relative difference: 2.5713661239633743e-05
2025-08-26T19:47:00.8015270Z  x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-08-26T19:47:00.8015370Z  y: torch.ndarray([1.0000, 2.3334,    nan], dtype=float64)
2025-08-26T19:47:00.8015370Z 
2025-08-26T19:47:00.8015440Z >>> np.testing.assert_array_almost_equal(
2025-08-26T19:47:00.8015530Z ...     [1.0, 2.33333, np.nan], [1.0, 2.33333, 5], decimal=5
2025-08-26T19:47:00.8015570Z ... )
2025-08-26T19:47:00.8015630Z Traceback (most recent call last):
2025-08-26T19:47:00.8015680Z     ...
2025-08-26T19:47:00.8015730Z AssertionError:
2025-08-26T19:47:00.8015800Z Arrays are not almost equal to 5 decimals
2025-08-26T19:47:00.8015840Z <BLANKLINE>
2025-08-26T19:47:00.8015900Z x and y nan location mismatch:
2025-08-26T19:47:00.8016050Z  x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-08-26T19:47:00.8016150Z  y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64)
2025-08-26T19:47:00.8016150Z 
2025-08-26T19:47:00.8016150Z 
2025-08-26T19:47:00.8016310Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.8016310Z 
2025-08-26T19:47:00.8016750Z msg = Cannot scrape callname=clear_and_catch_warnings in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=1848.
2025-08-26T19:47:00.8016920Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.8017050Z Context manager that resets warning registry for catching warnings
2025-08-26T19:47:00.8017100Z 
2025-08-26T19:47:00.8017260Z     Warnings can be slippery, because, whenever a warning is triggered, Python
2025-08-26T19:47:00.8017400Z     adds a ``__warningregistry__`` member to the *calling* module.  This makes
2025-08-26T19:47:00.8017590Z     it impossible to retrigger the warning in this module, whatever you put in
2025-08-26T19:47:00.8017740Z     the warnings filters.  This context manager accepts a sequence of `modules`
2025-08-26T19:47:00.8017830Z     as a keyword argument to its constructor and:
2025-08-26T19:47:00.8017830Z 
2025-08-26T19:47:00.8017970Z     * stores and removes any ``__warningregistry__`` entries in given `modules`
2025-08-26T19:47:00.8018020Z       on entry;
2025-08-26T19:47:00.8018140Z     * resets ``__warningregistry__`` to its previous state on exit.
2025-08-26T19:47:00.8018150Z 
2025-08-26T19:47:00.8018290Z     This makes it possible to trigger any warning afresh inside the context
2025-08-26T19:47:00.8018410Z     manager without disturbing the state of warnings outside.
2025-08-26T19:47:00.8018410Z 
2025-08-26T19:47:00.8018560Z     For compatibility with Python 3.0, please consider all arguments to be
2025-08-26T19:47:00.8018610Z     keyword-only.
2025-08-26T19:47:00.8018610Z 
2025-08-26T19:47:00.8018660Z     Parameters
2025-08-26T19:47:00.8018710Z     ----------
2025-08-26T19:47:00.8018770Z     record : bool, optional
2025-08-26T19:47:00.8018880Z         Specifies whether warnings should be captured by a custom
2025-08-26T19:47:00.8019030Z         implementation of ``warnings.showwarning()`` and be appended to a list
2025-08-26T19:47:00.8019170Z         returned by the context manager. Otherwise None is returned by the
2025-08-26T19:47:00.8019310Z         context manager. The objects appended to the list are arguments whose
2025-08-26T19:47:00.8019410Z         attributes mirror the arguments to ``showwarning()``.
2025-08-26T19:47:00.8019470Z     modules : sequence, optional
2025-08-26T19:47:00.8019620Z         Sequence of modules for which to reset warnings registry on entry and
2025-08-26T19:47:00.8019740Z         restore on exit. To work correctly, all 'ignore' filters should
2025-08-26T19:47:00.8019810Z         filter by one of these modules.
2025-08-26T19:47:00.8019820Z 
2025-08-26T19:47:00.8019860Z     Examples
2025-08-26T19:47:00.8019910Z     --------
2025-08-26T19:47:00.8019960Z     >>> import warnings
2025-08-26T19:47:00.8020080Z     >>> with np.testing.clear_and_catch_warnings(  # doctest: +SKIP
2025-08-26T19:47:00.8020150Z     ...     modules=[np.core.fromnumeric]
2025-08-26T19:47:00.8020190Z     ... ):
2025-08-26T19:47:00.8020260Z     ...     warnings.simplefilter("always")
2025-08-26T19:47:00.8020410Z     ...     warnings.filterwarnings("ignore", module="np.core.fromnumeric")
2025-08-26T19:47:00.8020520Z     ...     # do something that raises a warning but ignore those in
2025-08-26T19:47:00.8020580Z     ...     # np.core.fromnumeric
2025-08-26T19:47:00.8020620Z     
2025-08-26T19:47:00.8020780Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.8138100Z 
2025-08-26T19:47:00.8138710Z msg = Cannot scrape callname=calculate_gain in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py line=142.
2025-08-26T19:47:00.8138960Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.8139100Z Return the recommended gain value for the given nonlinearity function.
2025-08-26T19:47:00.8139100Z 
2025-08-26T19:47:00.8139160Z     The values are as follows:
2025-08-26T19:47:00.8139200Z 
2025-08-26T19:47:00.8139270Z     ================= ====================================================
2025-08-26T19:47:00.8139330Z     nonlinearity      gain
2025-08-26T19:47:00.8139410Z     ================= ====================================================
2025-08-26T19:47:00.8139470Z     Linear / Identity :math:`1`
2025-08-26T19:47:00.8139520Z     Conv{1,2,3}D      :math:`1`
2025-08-26T19:47:00.8139630Z     Sigmoid           :math:`1`
2025-08-26T19:47:00.8139690Z     Tanh              :math:`\frac{5}{3}`
2025-08-26T19:47:00.8139750Z     ReLU              :math:`\sqrt{2}`
2025-08-26T19:47:00.8139880Z     Leaky Relu        :math:`\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}`
2025-08-26T19:47:00.8139990Z     SELU              :math:`\frac{3}{4}`
2025-08-26T19:47:00.8140070Z     ================= ====================================================
2025-08-26T19:47:00.8140070Z 
2025-08-26T19:47:00.8140130Z     .. warning::
2025-08-26T19:47:00.8140240Z         In order to implement `Self-Normalizing Neural Networks`_ ,
2025-08-26T19:47:00.8140400Z         you should use ``nonlinearity='linear'`` instead of ``nonlinearity='selu'``.
2025-08-26T19:47:00.8140510Z         This gives the initial weights a variance of ``1 / N``,
2025-08-26T19:47:00.8140650Z         which is necessary to induce a stable fixed point in the forward pass.
2025-08-26T19:47:00.8140790Z         In contrast, the default gain for ``SELU`` sacrifices the normalization
2025-08-26T19:47:00.8140920Z         effect for more stable gradient flow in rectangular layers.
2025-08-26T19:47:00.8140920Z 
2025-08-26T19:47:00.8140970Z     Args:
2025-08-26T19:47:00.8141100Z         nonlinearity: the non-linear function (`nn.functional` name)
2025-08-26T19:47:00.8141210Z         param: optional parameter for the non-linear function
2025-08-26T19:47:00.8141210Z 
2025-08-26T19:47:00.8141260Z     Examples:
2025-08-26T19:47:00.8141330Z         >>> gain = nn.init.calculate_gain(
2025-08-26T19:47:00.8141390Z         ...     "leaky_relu", 0.2
2025-08-26T19:47:00.8141470Z         ... )  # leaky_relu with negative_slope=0.2
2025-08-26T19:47:00.8141470Z 
2025-08-26T19:47:00.8141780Z     .. _Self-Normalizing Neural Networks: https://papers.nips.cc/paper/2017/hash/5d44ee6f2c3f71b73125876103c8f6c4-Abstract.html
2025-08-26T19:47:00.8141820Z     
2025-08-26T19:47:00.8141980Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.8141990Z 
2025-08-26T19:47:00.8142460Z msg = Cannot scrape callname=DistributedDataParallel.join in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=1766.
2025-08-26T19:47:00.8142620Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.8142620Z 
2025-08-26T19:47:00.8142780Z Context manager for training with uneven inputs across processes in DDP.
2025-08-26T19:47:00.8142780Z 
2025-08-26T19:47:00.8142920Z This context manager will keep track of already-joined DDP processes,
2025-08-26T19:47:00.8143050Z and "shadow" the forward and backward passes by inserting collective
2025-08-26T19:47:00.8143190Z communication operations to match with the ones created by non-joined
2025-08-26T19:47:00.8143340Z DDP processes. This will ensure each collective call has a corresponding
2025-08-26T19:47:00.8143480Z call by already-joined DDP processes, preventing hangs or errors that
2025-08-26T19:47:00.8143610Z would otherwise happen when training with uneven inputs across
2025-08-26T19:47:00.8143750Z processes. Alternatively, if the flag ``throw_on_early_termination`` is
2025-08-26T19:47:00.8143890Z specified to be ``True``, all trainers will throw an error once one rank
2025-08-26T19:47:00.8144080Z runs out of inputs, allowing these errors to be caught and handled
2025-08-26T19:47:00.8144150Z according to application logic.
2025-08-26T19:47:00.8144150Z 
2025-08-26T19:47:00.8144280Z Once all DDP processes have joined, the context manager will broadcast
2025-08-26T19:47:00.8144430Z the model corresponding to the last joined process to all processes to
2025-08-26T19:47:00.8144520Z ensure the model is the same across all processes
2025-08-26T19:47:00.8144580Z (which is guaranteed by DDP).
2025-08-26T19:47:00.8144590Z 
2025-08-26T19:47:00.8144720Z To use this to enable training with uneven inputs across processes,
2025-08-26T19:47:00.8144860Z simply wrap this context manager around your training loop. No further
2025-08-26T19:47:00.8145030Z modifications to the model or data loading is required.
2025-08-26T19:47:00.8145030Z 
2025-08-26T19:47:00.8145090Z .. warning::
2025-08-26T19:47:00.8145220Z     If the model or training loop this context manager is wrapped around
2025-08-26T19:47:00.8145420Z     has additional distributed collective operations, such as
2025-08-26T19:47:00.8145540Z     ``SyncBatchNorm`` in the model's forward pass, then the flag
2025-08-26T19:47:00.8145670Z     ``throw_on_early_termination`` must be enabled. This is because this
2025-08-26T19:47:00.8145800Z     context manager is not aware of non-DDP collective communication.
2025-08-26T19:47:00.8145910Z     This flag will cause all ranks to throw when any one rank
2025-08-26T19:47:00.8146040Z     exhausts inputs, allowing these errors to be caught and recovered
2025-08-26T19:47:00.8146100Z     from across all ranks.
2025-08-26T19:47:00.8146100Z 
2025-08-26T19:47:00.8146140Z Args:
2025-08-26T19:47:00.8146260Z     divide_by_initial_world_size (bool): If ``True``, will divide
2025-08-26T19:47:00.8146400Z         gradients by the initial ``world_size`` DDP training was launched
2025-08-26T19:47:00.8146510Z         with. If ``False``, will compute the effective world size
2025-08-26T19:47:00.8146630Z         (number of ranks that have not depleted their inputs yet) and
2025-08-26T19:47:00.8146720Z         divide gradients by that during allreduce. Set
2025-08-26T19:47:00.8146840Z         ``divide_by_initial_world_size=True`` to ensure every input
2025-08-26T19:47:00.8146970Z         sample including the uneven inputs have equal weight in terms of
2025-08-26T19:47:00.8147080Z         how much they contribute to the global gradient. This is
2025-08-26T19:47:00.8147180Z         achieved by always dividing the gradient by the initial
2025-08-26T19:47:00.8147300Z         ``world_size`` even when we encounter uneven inputs. If you set
2025-08-26T19:47:00.8147410Z         this to ``False``, we divide the gradient by the remaining
2025-08-26T19:47:00.8147540Z         number of nodes. This ensures parity with training on a smaller
2025-08-26T19:47:00.8147650Z         ``world_size`` although it also means the uneven inputs would
2025-08-26T19:47:00.8147780Z         contribute more towards the global gradient. Typically, you
2025-08-26T19:47:00.8147900Z         would want to set this to ``True`` for cases where the last few
2025-08-26T19:47:00.8148030Z         inputs of your training job are uneven. In extreme cases, where
2025-08-26T19:47:00.8148150Z         there is a large discrepancy in the number of inputs, setting
2025-08-26T19:47:00.8148240Z         this to ``False`` might provide better results.
2025-08-26T19:47:00.8148370Z     enable (bool): Whether to enable uneven input detection or not. Pass
2025-08-26T19:47:00.8148480Z         in ``enable=False`` to disable in cases where you know that
2025-08-26T19:47:00.8148600Z         inputs are even across participating processes. Default is
2025-08-26T19:47:00.8148650Z         ``True``.
2025-08-26T19:47:00.8148770Z     throw_on_early_termination (bool): Whether to throw an error
2025-08-26T19:47:00.8148890Z         or continue training when at least one rank has exhausted
2025-08-26T19:47:00.8149000Z         inputs. If ``True``, will throw upon the first rank reaching end
2025-08-26T19:47:00.8149160Z         of data. If ``False``, will continue training with a smaller
2025-08-26T19:47:00.8149280Z         effective world size until all ranks are joined. Note that if
2025-08-26T19:47:00.8149360Z         this flag is specified, then the flag
2025-08-26T19:47:00.8149470Z         ``divide_by_initial_world_size`` would be ignored. Default
2025-08-26T19:47:00.8149520Z         is ``False``.
2025-08-26T19:47:00.8149520Z 
2025-08-26T19:47:00.8149520Z 
2025-08-26T19:47:00.8149580Z Example::
2025-08-26T19:47:00.8149580Z 
2025-08-26T19:47:00.8149640Z     >>> # xdoctest: +SKIP("Distributed")
2025-08-26T19:47:00.8149690Z     >>> import torch
2025-08-26T19:47:00.8149760Z     >>> import torch.distributed as dist
2025-08-26T19:47:00.8149810Z     >>> import os
2025-08-26T19:47:00.8149930Z     >>> import torch.multiprocessing as mp
2025-08-26T19:47:00.8149990Z     >>> import torch.nn as nn
2025-08-26T19:47:00.8150050Z     >>> # On each spawned worker
2025-08-26T19:47:00.8150140Z     >>> def worker(rank):
2025-08-26T19:47:00.8150260Z     >>>     dist.init_process_group("nccl", rank=rank, world_size=2)
2025-08-26T19:47:00.8150320Z     >>>     torch.cuda.set_device(rank)
2025-08-26T19:47:00.8150410Z     >>>     model = nn.Linear(1, 1, bias=False).to(rank)
2025-08-26T19:47:00.8150520Z     >>>     model = torch.nn.parallel.DistributedDataParallel(
2025-08-26T19:47:00.8150610Z     >>>         model, device_ids=[rank], output_device=rank
2025-08-26T19:47:00.8150650Z     >>>     )
2025-08-26T19:47:00.8150730Z     >>>     # Rank 1 gets one more input than rank 0.
2025-08-26T19:47:00.8150840Z     >>>     inputs = [torch.tensor([1]).float() for _ in range(10 + rank)]
2025-08-26T19:47:00.8150900Z     >>>     with model.join():
2025-08-26T19:47:00.8150960Z     >>>         for _ in range(5):
2025-08-26T19:47:00.8151020Z     >>>             for inp in inputs:
2025-08-26T19:47:00.8151090Z     >>>                 loss = model(inp).sum()
2025-08-26T19:47:00.8151140Z     >>>                 loss.backward()
2025-08-26T19:47:00.8151260Z     >>>     # Without the join() API, the below synchronization will hang
2025-08-26T19:47:00.8151350Z     >>>     # blocking for rank 1's allreduce to complete.
2025-08-26T19:47:00.8151420Z     >>>     torch.cuda.synchronize(device=rank)
2025-08-26T19:47:00.8151430Z 
2025-08-26T19:47:00.8151580Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.8151580Z 
2025-08-26T19:47:00.8152070Z msg = Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=2057.
2025-08-26T19:47:00.8152230Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.8152230Z 
2025-08-26T19:47:00.8152420Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction.
2025-08-26T19:47:00.8152420Z 
2025-08-26T19:47:00.8152550Z Registers an optimizer with DDP such that the optimization for a
2025-08-26T19:47:00.8152670Z parameter will run immediately when that parameter's gradient is
2025-08-26T19:47:00.8152790Z finished with reduction, instead of waiting for all parameters'
2025-08-26T19:47:00.8152930Z gradients to finish reduction. This can result in a training speedup
2025-08-26T19:47:00.8153050Z depending on your workload since the optimizer can run while gradient
2025-08-26T19:47:00.8153200Z reduction for other parameters are still ongoing. In addition, this has
2025-08-26T19:47:00.8153330Z the potential to reduce peak memory consumption during training, as it
2025-08-26T19:47:00.8153450Z only needs to load the per-parameter optimizer states of a single
2025-08-26T19:47:00.8153590Z parameter at a time, instead of loading all per-parameter optimizer
2025-08-26T19:47:00.8153630Z states at once.
2025-08-26T19:47:00.8153640Z 
2025-08-26T19:47:00.8153680Z Args:
2025-08-26T19:47:00.8153800Z     optim (Type): a ``torch.optim.Optimizer`` class to be registered
2025-08-26T19:47:00.8153890Z     as a fused optimizer.
2025-08-26T19:47:00.8154000Z     *args (Sequence[Any]): Arguments to forward to `optim`.
2025-08-26T19:47:00.8154130Z     optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters
2025-08-26T19:47:00.8154270Z     to optimize, similar to `params` argument of traditional `torch.optim`
2025-08-26T19:47:00.8154390Z     Optimizers. If this is omitted, all DDP model parameters will be
2025-08-26T19:47:00.8154440Z     optimized.
2025-08-26T19:47:00.8154560Z     **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`.
2025-08-26T19:47:00.8154560Z 
2025-08-26T19:47:00.8154610Z .. warning ::
2025-08-26T19:47:00.8154740Z     _register_fused_optim should only be called once on a DDP instance,
2025-08-26T19:47:00.8154910Z     and registering multiple fused optimizers for the same DDP model
2025-08-26T19:47:00.8154990Z     is not currently supported. Please ping
2025-08-26T19:47:00.8155130Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-08-26T19:47:00.8155220Z     for your use case.
2025-08-26T19:47:00.8155220Z 
2025-08-26T19:47:00.8155270Z .. warning ::
2025-08-26T19:47:00.8155390Z     _register_fused_optim and register_comm_hook currently do not
2025-08-26T19:47:00.8155510Z     compose together, meaning that custom DDP communication hooks are
2025-08-26T19:47:00.8155620Z     not supported with overlapped optimizers. Please ping
2025-08-26T19:47:00.8155750Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-08-26T19:47:00.8155810Z     for your use case.
2025-08-26T19:47:00.8155810Z 
2025-08-26T19:47:00.8155850Z .. warning ::
2025-08-26T19:47:00.8156000Z     Gradient accumulation and DDP `no_sync` are currently not supported
2025-08-26T19:47:00.8156070Z     with overlapped optimizer. Please ping
2025-08-26T19:47:00.8156200Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-08-26T19:47:00.8156250Z     for your use case.
2025-08-26T19:47:00.8156250Z 
2025-08-26T19:47:00.8156300Z Example::
2025-08-26T19:47:00.8156310Z 
2025-08-26T19:47:00.8156380Z     >>> # xdoctest: +SKIP("No rendezvous handler")
2025-08-26T19:47:00.8156570Z     >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...')
2025-08-26T19:47:00.8156690Z     >>> net = torch.nn.parallel.DistributedDataParallel(model, pg)
2025-08-26T19:47:00.8156740Z     >>> lr = 1e-2
2025-08-26T19:47:00.8156790Z     >>> betas = (0.9, 0.99)
2025-08-26T19:47:00.8156840Z     >>> eps = 1e-6
2025-08-26T19:47:00.8156970Z     >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps)
2025-08-26T19:47:00.8157040Z     >>> # Example with subset of parameters
2025-08-26T19:47:00.8157130Z     >>> params_to_opt = [list(net.parameters())[0]]
2025-08-26T19:47:00.8157200Z     >>> net._register_fused_optim(
2025-08-26T19:47:00.8157340Z     ...   torch.optim.Adam, lr, optim_params=params_to_opt,  betas=betas, eps=eps
2025-08-26T19:47:00.8157380Z     ... )
2025-08-26T19:47:00.8157390Z 
2025-08-26T19:47:00.8157550Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.8234110Z 
2025-08-26T19:47:00.8234730Z msg = Cannot scrape callname=register_parametrization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/parametrize.py line=424.
2025-08-26T19:47:00.8234940Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.8235050Z Register a parametrization to a tensor in a module.
2025-08-26T19:47:00.8235050Z 
2025-08-26T19:47:00.8235230Z     Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-08-26T19:47:00.8235410Z     the module will return the parametrized version ``parametrization(module.weight)``.
2025-08-26T19:47:00.8235580Z     If the original tensor requires a gradient, the backward pass will differentiate
2025-08-26T19:47:00.8235770Z     through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-08-26T19:47:00.8235870Z 
2025-08-26T19:47:00.8236060Z     The first time that a module registers a parametrization, this function will add an attribute
2025-08-26T19:47:00.8236230Z     ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-08-26T19:47:00.8236230Z 
2025-08-26T19:47:00.8236390Z     The list of parametrizations on the tensor ``weight`` will be accessible under
2025-08-26T19:47:00.8236460Z     ``module.parametrizations.weight``.
2025-08-26T19:47:00.8236470Z 
2025-08-26T19:47:00.8236550Z     The original tensor will be accessible under
2025-08-26T19:47:00.8236640Z     ``module.parametrizations.weight.original``.
2025-08-26T19:47:00.8236650Z 
2025-08-26T19:47:00.8236810Z     Parametrizations may be concatenated by registering several parametrizations
2025-08-26T19:47:00.8236920Z     on the same attribute.
2025-08-26T19:47:00.8236920Z 
2025-08-26T19:47:00.8237070Z     The training mode of a registered parametrization is updated on registration
2025-08-26T19:47:00.8237210Z     to match the training mode of the host module
2025-08-26T19:47:00.8237220Z 
2025-08-26T19:47:00.8237410Z     Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-08-26T19:47:00.8237490Z     using the context manager :func:`cached`.
2025-08-26T19:47:00.8237490Z 
2025-08-26T19:47:00.8237640Z     A :attr:`parametrization` may optionally implement a method with signature
2025-08-26T19:47:00.8237640Z 
2025-08-26T19:47:00.8237710Z     .. code-block:: python
2025-08-26T19:47:00.8237710Z 
2025-08-26T19:47:00.8237850Z         def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-08-26T19:47:00.8237850Z 
2025-08-26T19:47:00.8238020Z     This method is called on the unparametrized tensor when the first parametrization
2025-08-26T19:47:00.8238150Z     is registered to compute the initial value of the original tensor.
2025-08-26T19:47:00.8238350Z     If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-08-26T19:47:00.8238360Z 
2025-08-26T19:47:00.8238550Z     If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-08-26T19:47:00.8238730Z     to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-08-26T19:47:00.8238740Z 
2025-08-26T19:47:00.8238880Z     It is possible for the first parametrization to depend on several inputs.
2025-08-26T19:47:00.8239030Z     This may be implemented returning a tuple of tensors from ``right_inverse``
2025-08-26T19:47:00.8239180Z     (see the example implementation of a ``RankOne`` parametrization below).
2025-08-26T19:47:00.8239180Z 
2025-08-26T19:47:00.8239400Z     In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-08-26T19:47:00.8239480Z     with names ``original0``, ``original1``,...
2025-08-26T19:47:00.8239490Z 
2025-08-26T19:47:00.8239530Z     .. note::
2025-08-26T19:47:00.8239540Z 
2025-08-26T19:47:00.8239710Z         If unsafe=False (default) both the forward and right_inverse methods will be called
2025-08-26T19:47:00.8239810Z         once to perform a number of consistency checks.
2025-08-26T19:47:00.8239980Z         If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-08-26T19:47:00.8240050Z         and nothing will be called otherwise.
2025-08-26T19:47:00.8240050Z 
2025-08-26T19:47:00.8240100Z     .. note::
2025-08-26T19:47:00.8240100Z 
2025-08-26T19:47:00.8240230Z         In most situations, ``right_inverse`` will be a function such that
2025-08-26T19:47:00.8240310Z         ``forward(right_inverse(X)) == X`` (see
2025-08-26T19:47:00.8240490Z         `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-08-26T19:47:00.8240650Z         Sometimes, when the parametrization is not surjective, it may be reasonable
2025-08-26T19:47:00.8240710Z         to relax this.
2025-08-26T19:47:00.8240710Z 
2025-08-26T19:47:00.8240760Z     .. warning::
2025-08-26T19:47:00.8240760Z 
2025-08-26T19:47:00.8241000Z         If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-08-26T19:47:00.8241170Z         will register a number of new parameters. If such parametrization is registered
2025-08-26T19:47:00.8241340Z         after the optimizer is created, these new parameters will need to be added manually
2025-08-26T19:47:00.8241470Z         to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-08-26T19:47:00.8241470Z 
2025-08-26T19:47:00.8241520Z     Args:
2025-08-26T19:47:00.8241650Z         module (nn.Module): module on which to register the parametrization
2025-08-26T19:47:00.8241800Z         tensor_name (str): name of the parameter or buffer on which to register
2025-08-26T19:47:00.8241860Z             the parametrization
2025-08-26T19:47:00.8242050Z         parametrization (nn.Module): the parametrization to register
2025-08-26T19:47:00.8242110Z     Keyword args:
2025-08-26T19:47:00.8242250Z         unsafe (bool): a boolean flag that denotes whether the parametrization
2025-08-26T19:47:00.8242430Z             may change the dtype and shape of the tensor. Default: `False`
2025-08-26T19:47:00.8242600Z             Warning: the parametrization is not checked for consistency upon registration.
2025-08-26T19:47:00.8242670Z             Enable this flag at your own risk.
2025-08-26T19:47:00.8242680Z 
2025-08-26T19:47:00.8242720Z     Raises:
2025-08-26T19:47:00.8242900Z         ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-08-26T19:47:00.8242900Z 
2025-08-26T19:47:00.8242950Z     Examples:
2025-08-26T19:47:00.8243040Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-08-26T19:47:00.8243100Z         >>> import torch
2025-08-26T19:47:00.8243160Z         >>> import torch.nn as nn
2025-08-26T19:47:00.8243240Z         >>> import torch.nn.utils.parametrize as P
2025-08-26T19:47:00.8243290Z         >>>
2025-08-26T19:47:00.8243360Z         >>> class Symmetric(nn.Module):
2025-08-26T19:47:00.8243420Z         >>>     def forward(self, X):
2025-08-26T19:47:00.8243540Z         >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-08-26T19:47:00.8243590Z         >>>
2025-08-26T19:47:00.8243660Z         >>>     def right_inverse(self, A):
2025-08-26T19:47:00.8243710Z         >>>         return A.triu()
2025-08-26T19:47:00.8243760Z         >>>
2025-08-26T19:47:00.8243810Z         >>> m = nn.Linear(5, 5)
2025-08-26T19:47:00.8243920Z         >>> P.register_parametrization(m, "weight", Symmetric())
2025-08-26T19:47:00.8244080Z         >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-08-26T19:47:00.8244120Z         True
2025-08-26T19:47:00.8244180Z         >>> A = torch.rand(5, 5)
2025-08-26T19:47:00.8244250Z         >>> A = A + A.T  # A is now symmetric
2025-08-26T19:47:00.8244380Z         >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-08-26T19:47:00.8244450Z         >>> print(torch.allclose(m.weight, A))
2025-08-26T19:47:00.8244500Z         True
2025-08-26T19:47:00.8244500Z 
2025-08-26T19:47:00.8244570Z         >>> class RankOne(nn.Module):
2025-08-26T19:47:00.8244630Z         >>>     def forward(self, x, y):
2025-08-26T19:47:00.8244720Z         >>> # Form a rank 1 matrix multiplying two vectors
2025-08-26T19:47:00.8244810Z         >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-08-26T19:47:00.8244850Z         >>>
2025-08-26T19:47:00.8244920Z         >>>     def right_inverse(self, Z):
2025-08-26T19:47:00.8244990Z         >>> # Project Z onto the rank 1 matrices
2025-08-26T19:47:00.8245090Z         >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-08-26T19:47:00.8245160Z         >>> # Return rescaled singular vectors
2025-08-26T19:47:00.8245230Z         >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-08-26T19:47:00.8245330Z         >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-08-26T19:47:00.8245380Z         >>>
2025-08-26T19:47:00.8245470Z         >>> linear_rank_one = P.register_parametrization(
2025-08-26T19:47:00.8245590Z         ...     nn.Linear(4, 4), "weight", RankOne()
2025-08-26T19:47:00.8245630Z         ... )
2025-08-26T19:47:00.8245760Z         >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-08-26T19:47:00.8245800Z         1
2025-08-26T19:47:00.8245800Z 
2025-08-26T19:47:00.8245850Z     
2025-08-26T19:47:00.8246000Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.8246000Z 
2025-08-26T19:47:00.8246460Z msg = Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=14.
2025-08-26T19:47:00.8246660Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.8246810Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``.
2025-08-26T19:47:00.8246810Z 
2025-08-26T19:47:00.8246970Z     The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-08-26T19:47:00.8247180Z     Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-08-26T19:47:00.8247340Z     This function is used to facilitate the computation to adopt NHWC kernels, which
2025-08-26T19:47:00.8247530Z     provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-08-26T19:47:00.8247530Z 
2025-08-26T19:47:00.8247570Z     .. note::
2025-08-26T19:47:00.8247720Z         Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive
2025-08-26T19:47:00.8247860Z         than the utility function ``convert_conv2d_weight_memory_format``. Any
2025-08-26T19:47:00.8247990Z         layer with 4d weight will be affected by ``model.to``, which does not
2025-08-26T19:47:00.8248130Z         necessarily benefit from conversion to specified ``memory_format``.
2025-08-26T19:47:00.8248270Z         One place we are confident in is that NHWC(channels_last) conversion for
2025-08-26T19:47:00.8248410Z         convolution in cuDNN, as it is beneficial to run convolution in NHWC,
2025-08-26T19:47:00.8248530Z         even in cases where we have to apply permutation to input tensors.
2025-08-26T19:47:00.8248540Z 
2025-08-26T19:47:00.8248670Z         Hence our strategy here is to convert only the weight of convolution to
2025-08-26T19:47:00.8248740Z         channels_last. This ensures that;
2025-08-26T19:47:00.8248870Z         1. Fast convolution kernels will be used, the benefit of which could
2025-08-26T19:47:00.8249010Z         outweigh overhead of permutation (if input is not in the same format).
2025-08-26T19:47:00.8249160Z         2. No unnecessary permutations are applied on layers that do not benefit
2025-08-26T19:47:00.8249220Z         from memory_format conversion.
2025-08-26T19:47:00.8249230Z 
2025-08-26T19:47:00.8249370Z         The optimal case is that, layers between convolution layers are channels
2025-08-26T19:47:00.8249510Z         last compatible. Input tensor would be permuted to channels last when it
2025-08-26T19:47:00.8249660Z         encounters the first convolution layer and stay in that memory format.
2025-08-26T19:47:00.8249810Z         Hence following convolutions will not need to permute its input tensor.
2025-08-26T19:47:00.8249810Z 
2025-08-26T19:47:00.8249950Z         In case where a channels last incompatible layer is between convolution
2025-08-26T19:47:00.8250080Z         layers, we need to permute the input tensor back to contiguous format
2025-08-26T19:47:00.8250220Z         for that layer. The input tensor will go through the remaining layers in
2025-08-26T19:47:00.8250360Z         contiguous format and be permuted to channels last when it encounters
2025-08-26T19:47:00.8250490Z         another convolution layer. There's no point in propagating that
2025-08-26T19:47:00.8250630Z         permutation to an earlier layer, as most layers are quite agnostic to
2025-08-26T19:47:00.8250680Z         ``memory_format``.
2025-08-26T19:47:00.8250690Z 
2025-08-26T19:47:00.8250870Z         This claim might change when PyTorch supports fusion of permutation, as
2025-08-26T19:47:00.8251010Z         there might have been a better spot to fuse the permutation other than
2025-08-26T19:47:00.8251080Z         immediately before a convolution.
2025-08-26T19:47:00.8251080Z 
2025-08-26T19:47:00.8251130Z     Args:
2025-08-26T19:47:00.8251270Z         module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container
2025-08-26T19:47:00.8251330Z                             ``nn.Module``
2025-08-26T19:47:00.8251430Z         memory_format: user specified ``memory_format``,
2025-08-26T19:47:00.8251550Z             e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-08-26T19:47:00.8251550Z 
2025-08-26T19:47:00.8251600Z     Returns:
2025-08-26T19:47:00.8251740Z         The original module with updated ``nn.Conv2d``
2025-08-26T19:47:00.8251740Z 
2025-08-26T19:47:00.8251790Z     Example:
2025-08-26T19:47:00.8251880Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-26T19:47:00.8252020Z         >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-08-26T19:47:00.8252080Z         >>> input = torch.randint(
2025-08-26T19:47:00.8252180Z         ...     1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda"
2025-08-26T19:47:00.8252230Z         ... )
2025-08-26T19:47:00.8252280Z         >>> model = nn.Sequential(
2025-08-26T19:47:00.8252360Z         >>>     nn.Conv2d(8, 4, 3)).cuda().half()
2025-08-26T19:47:00.8252420Z         >>> # This is identical to:
2025-08-26T19:47:00.8252570Z         >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-08-26T19:47:00.8252670Z         >>> model = nn.utils.convert_conv2d_weight_memory_format(
2025-08-26T19:47:00.8252740Z         ...     model, torch.channels_last
2025-08-26T19:47:00.8252780Z         ... )
2025-08-26T19:47:00.8252840Z         >>> out = model(input)
2025-08-26T19:47:00.8252880Z     
2025-08-26T19:47:00.8253030Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.8513720Z 
2025-08-26T19:47:00.8514340Z msg = Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=93.
2025-08-26T19:47:00.8514540Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.8514670Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format``
2025-08-26T19:47:00.8514840Z     The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-08-26T19:47:00.8515020Z     Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-08-26T19:47:00.8515190Z     This function is used to facilitate the computation to adopt NHWC kernels, which
2025-08-26T19:47:00.8515390Z     provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-08-26T19:47:00.8515390Z 
2025-08-26T19:47:00.8515450Z     .. note::
2025-08-26T19:47:00.8515610Z         Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive
2025-08-26T19:47:00.8515760Z         than the utility function ``convert_conv3d_weight_memory_format``. Any
2025-08-26T19:47:00.8515890Z         layer with 4d weight will be affected by ``model.to``, which does not
2025-08-26T19:47:00.8516040Z         necessarily benefit from conversion to specified ``memory_format``.
2025-08-26T19:47:00.8516190Z         One place we are confident in is that NDHWC(channels_last_3d) conversion for
2025-08-26T19:47:00.8516330Z         convolution in cuDNN, as it is beneficial to run convolution in NDHWC,
2025-08-26T19:47:00.8516460Z         even in cases where we have to apply permutation to input tensors.
2025-08-26T19:47:00.8516460Z 
2025-08-26T19:47:00.8516610Z         Hence our strategy here is to convert only the weight of convolution to
2025-08-26T19:47:00.8516690Z         channels_last_3d. This ensures that;
2025-08-26T19:47:00.8516830Z         1. Fast convolution kernels will be used, the benefit of which could
2025-08-26T19:47:00.8517060Z         outweigh overhead of permutation (if input is not in the same format).
2025-08-26T19:47:00.8517210Z         2. No unnecessary permutations are applied on layers that do not benefit
2025-08-26T19:47:00.8517280Z         from memory_format conversion.
2025-08-26T19:47:00.8517280Z 
2025-08-26T19:47:00.8517430Z         The optimal case is that, layers between convolution layers are channels
2025-08-26T19:47:00.8517580Z         last compatible. Input tensor would be permuted to channels last when it
2025-08-26T19:47:00.8517720Z         encounters the first convolution layer and stay in that memory format.
2025-08-26T19:47:00.8517920Z         Hence following convolutions will not need to permute its input tensor.
2025-08-26T19:47:00.8517930Z 
2025-08-26T19:47:00.8518080Z         In case where a channels last incompatible layer is between convolution
2025-08-26T19:47:00.8518220Z         layers, we need to permute the input tensor back to contiguous format
2025-08-26T19:47:00.8518410Z         for that layer. The input tensor will go through the remaining layers in
2025-08-26T19:47:00.8518550Z         contiguous format and be permuted to channels last when it encounters
2025-08-26T19:47:00.8518690Z         another convolution layer. There's no point in propagating that
2025-08-26T19:47:00.8518830Z         permutation to an earlier layer, as most layers are quite agnostic to
2025-08-26T19:47:00.8518890Z         ``memory_format``.
2025-08-26T19:47:00.8518890Z 
2025-08-26T19:47:00.8519040Z         This claim might change when PyTorch supports fusion of permutation, as
2025-08-26T19:47:00.8519180Z         there might have been a better spot to fuse the permutation other than
2025-08-26T19:47:00.8519250Z         immediately before a convolution.
2025-08-26T19:47:00.8519250Z 
2025-08-26T19:47:00.8519300Z     Args:
2025-08-26T19:47:00.8519440Z         module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container
2025-08-26T19:47:00.8519500Z                             ``nn.Module``
2025-08-26T19:47:00.8522080Z         memory_format: user specified ``memory_format``,
2025-08-26T19:47:00.8522200Z             e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-08-26T19:47:00.8522210Z 
2025-08-26T19:47:00.8522260Z     Returns:
2025-08-26T19:47:00.8522350Z         The original module with updated ``nn.Conv3d``
2025-08-26T19:47:00.8522350Z 
2025-08-26T19:47:00.8522400Z     Example:
2025-08-26T19:47:00.8522490Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-26T19:47:00.8522590Z         >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-08-26T19:47:00.8522650Z         >>> input = torch.randint(
2025-08-26T19:47:00.8522760Z         ...     1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda"
2025-08-26T19:47:00.8522800Z         ... )
2025-08-26T19:47:00.8522870Z         >>> model = nn.Sequential(
2025-08-26T19:47:00.8522940Z         >>>     nn.Conv3d(8, 4, 3)).cuda().half()
2025-08-26T19:47:00.8523010Z         >>> # This is identical to:
2025-08-26T19:47:00.8523170Z         >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-08-26T19:47:00.8523290Z         >>> model = nn.utils.convert_conv3d_weight_memory_format(
2025-08-26T19:47:00.8523360Z         ...     model, torch.channels_last_3d
2025-08-26T19:47:00.8523410Z         ... )
2025-08-26T19:47:00.8523460Z         >>> out = model(input)
2025-08-26T19:47:00.8523510Z     
2025-08-26T19:47:00.8523720Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.8523720Z 
2025-08-26T19:47:00.8524110Z msg = Cannot scrape callname=ln_structured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py line=979.
2025-08-26T19:47:00.8524300Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.8531060Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension.
2025-08-26T19:47:00.8531070Z 
2025-08-26T19:47:00.8531220Z     Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-08-26T19:47:00.8531360Z     by removing the specified ``amount`` of (currently unpruned) channels
2025-08-26T19:47:00.8531470Z     along the specified ``dim`` with the lowest L\ ``n``-norm.
2025-08-26T19:47:00.8531590Z     Modifies module in place (and also return the modified module)
2025-08-26T19:47:00.8531630Z     by:
2025-08-26T19:47:00.8531640Z 
2025-08-26T19:47:00.8531760Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-08-26T19:47:00.8531900Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-08-26T19:47:00.8532230Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-08-26T19:47:00.8532360Z        original (unpruned) parameter is stored in a new parameter named
2025-08-26T19:47:00.8532420Z        ``name+'_orig'``.
2025-08-26T19:47:00.8532470Z 
2025-08-26T19:47:00.8532510Z     Args:
2025-08-26T19:47:00.8532630Z         module (nn.Module): module containing the tensor to prune
2025-08-26T19:47:00.8532750Z         name (str): parameter name within ``module`` on which pruning
2025-08-26T19:47:00.8532800Z                 will act.
2025-08-26T19:47:00.8532910Z         amount (int or float): quantity of parameters to prune.
2025-08-26T19:47:00.8533020Z             If ``float``, should be between 0.0 and 1.0 and represent the
2025-08-26T19:47:00.8533140Z             fraction of parameters to prune. If ``int``, it represents the
2025-08-26T19:47:00.8533230Z             absolute number of parameters to prune.
2025-08-26T19:47:00.8533350Z         n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid
2025-08-26T19:47:00.8533450Z             entries for argument ``p`` in :func:`torch.norm`.
2025-08-26T19:47:00.8533580Z         dim (int): index of the dim along which we define channels to prune.
2025-08-26T19:47:00.8533720Z         importance_scores (torch.Tensor): tensor of importance scores (of same
2025-08-26T19:47:00.8533860Z             shape as module parameter) used to compute mask for pruning.
2025-08-26T19:47:00.8534140Z             The values in this tensor indicate the importance of the corresponding
2025-08-26T19:47:00.8534220Z             elements in the parameter being pruned.
2025-08-26T19:47:00.8534360Z             If unspecified or None, the module parameter will be used in its place.
2025-08-26T19:47:00.8534360Z 
2025-08-26T19:47:00.8534410Z     Returns:
2025-08-26T19:47:00.8534540Z         module (nn.Module): modified (i.e. pruned) version of the input module
2025-08-26T19:47:00.8534550Z 
2025-08-26T19:47:00.8534600Z     Examples:
2025-08-26T19:47:00.8534670Z         >>> from torch.nn.utils import prune
2025-08-26T19:47:00.8534730Z         >>> m = prune.ln_structured(
2025-08-26T19:47:00.8534850Z         ...     nn.Conv2d(5, 3, 2), "weight", amount=0.3, dim=1, n=float("-inf")
2025-08-26T19:47:00.8534890Z         ... )
2025-08-26T19:47:00.8534940Z     
2025-08-26T19:47:00.8535090Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.8535100Z 
2025-08-26T19:47:00.8535500Z msg = Cannot scrape callname=global_unstructured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1026.
2025-08-26T19:47:00.8535660Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.8535660Z 
2025-08-26T19:47:00.8535920Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``.
2025-08-26T19:47:00.8535920Z 
2025-08-26T19:47:00.8535990Z Modifies modules in place by:
2025-08-26T19:47:00.8535990Z 
2025-08-26T19:47:00.8536120Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-08-26T19:47:00.8536260Z    binary mask applied to the parameter ``name`` by the pruning method.
2025-08-26T19:47:00.8536390Z 2) replacing the parameter ``name`` by its pruned version, while the
2025-08-26T19:47:00.8536520Z    original (unpruned) parameter is stored in a new parameter named
2025-08-26T19:47:00.8536570Z    ``name+'_orig'``.
2025-08-26T19:47:00.8536580Z 
2025-08-26T19:47:00.8536620Z Args:
2025-08-26T19:47:00.8536750Z     parameters (Iterable of (module, name) tuples): parameters of
2025-08-26T19:47:00.8536870Z         the model to prune in a global fashion, i.e. by aggregating all
2025-08-26T19:47:00.8536990Z         weights prior to deciding which ones to prune. module must be of
2025-08-26T19:47:00.8537090Z         type :class:`nn.Module`, and name must be a string.
2025-08-26T19:47:00.8537230Z     pruning_method (function): a valid pruning function from this module,
2025-08-26T19:47:00.8537380Z         or a custom one implemented by the user that satisfies the
2025-08-26T19:47:00.8537530Z         implementation guidelines and has ``PRUNING_TYPE='unstructured'``.
2025-08-26T19:47:00.8537670Z     importance_scores (dict): a dictionary mapping (module, name) tuples to
2025-08-26T19:47:00.8537850Z         the corresponding parameter's importance scores tensor. The tensor
2025-08-26T19:47:00.8537990Z         should be the same shape as the parameter, and is used for computing
2025-08-26T19:47:00.8538040Z         mask for pruning.
2025-08-26T19:47:00.8538170Z         If unspecified or None, the parameter will be used in place of its
2025-08-26T19:47:00.8538230Z         importance scores.
2025-08-26T19:47:00.8538300Z     kwargs: other keyword arguments such as:
2025-08-26T19:47:00.8538420Z         amount (int or float): quantity of parameters to prune across the
2025-08-26T19:47:00.8538470Z         specified parameters.
2025-08-26T19:47:00.8538590Z         If ``float``, should be between 0.0 and 1.0 and represent the
2025-08-26T19:47:00.8538710Z         fraction of parameters to prune. If ``int``, it represents the
2025-08-26T19:47:00.8538790Z         absolute number of parameters to prune.
2025-08-26T19:47:00.8538790Z 
2025-08-26T19:47:00.8538840Z Raises:
2025-08-26T19:47:00.8538930Z     TypeError: if ``PRUNING_TYPE != 'unstructured'``
2025-08-26T19:47:00.8539000Z 
2025-08-26T19:47:00.8539040Z Note:
2025-08-26T19:47:00.8539180Z     Since global structured pruning doesn't make much sense unless the
2025-08-26T19:47:00.8539300Z     norm is normalized by the size of the parameter, we now limit the
2025-08-26T19:47:00.8539390Z     scope of global pruning to unstructured methods.
2025-08-26T19:47:00.8539400Z 
2025-08-26T19:47:00.8539440Z Examples:
2025-08-26T19:47:00.8539510Z     >>> from torch.nn.utils import prune
2025-08-26T19:47:00.8539580Z     >>> from collections import OrderedDict
2025-08-26T19:47:00.8539630Z     >>> net = nn.Sequential(
2025-08-26T19:47:00.8539680Z     ...     OrderedDict(
2025-08-26T19:47:00.8539730Z     ...         [
2025-08-26T19:47:00.8539800Z     ...             ("first", nn.Linear(10, 4)),
2025-08-26T19:47:00.8539870Z     ...             ("second", nn.Linear(4, 1)),
2025-08-26T19:47:00.8539910Z     ...         ]
2025-08-26T19:47:00.8539950Z     ...     )
2025-08-26T19:47:00.8540000Z     ... )
2025-08-26T19:47:00.8540050Z     >>> parameters_to_prune = (
2025-08-26T19:47:00.8540120Z     ...     (net.first, "weight"),
2025-08-26T19:47:00.8540180Z     ...     (net.second, "weight"),
2025-08-26T19:47:00.8540220Z     ... )
2025-08-26T19:47:00.8540280Z     >>> prune.global_unstructured(
2025-08-26T19:47:00.8540340Z     ...     parameters_to_prune,
2025-08-26T19:47:00.8540420Z     ...     pruning_method=prune.L1Unstructured,
2025-08-26T19:47:00.8540460Z     ...     amount=10,
2025-08-26T19:47:00.8540500Z     ... )
2025-08-26T19:47:00.8540640Z     >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0))
2025-08-26T19:47:00.8540690Z     tensor(10)
2025-08-26T19:47:00.8540690Z 
2025-08-26T19:47:00.8540690Z 
2025-08-26T19:47:00.8540850Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.8881130Z 
2025-08-26T19:47:00.8881640Z msg = Cannot scrape callname=custom_from_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1149.
2025-08-26T19:47:00.8882310Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.8882790Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``.
2025-08-26T19:47:00.8883110Z 
2025-08-26T19:47:00.8883250Z     Modifies module in place (and also return the modified module) by:
2025-08-26T19:47:00.8883480Z 
2025-08-26T19:47:00.8883630Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-08-26T19:47:00.8883970Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-08-26T19:47:00.8884440Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-08-26T19:47:00.8884790Z        original (unpruned) parameter is stored in a new parameter named
2025-08-26T19:47:00.8885050Z        ``name+'_orig'``.
2025-08-26T19:47:00.8885220Z 
2025-08-26T19:47:00.8885270Z     Args:
2025-08-26T19:47:00.8885460Z         module (nn.Module): module containing the tensor to prune
2025-08-26T19:47:00.8885770Z         name (str): parameter name within ``module`` on which pruning
2025-08-26T19:47:00.8886000Z             will act.
2025-08-26T19:47:00.8886210Z         mask (Tensor): binary mask to be applied to the parameter.
2025-08-26T19:47:00.8886390Z 
2025-08-26T19:47:00.8886440Z     Returns:
2025-08-26T19:47:00.8886660Z         module (nn.Module): modified (i.e. pruned) version of the input module
2025-08-26T19:47:00.8886870Z 
2025-08-26T19:47:00.8886920Z     Examples:
2025-08-26T19:47:00.8887070Z         >>> from torch.nn.utils import prune
2025-08-26T19:47:00.8887280Z         >>> m = prune.custom_from_mask(
2025-08-26T19:47:00.8887530Z         ...     nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0])
2025-08-26T19:47:00.8887750Z         ... )
2025-08-26T19:47:00.8887890Z         >>> print(m.bias_mask)
2025-08-26T19:47:00.8888060Z         tensor([0., 1., 0.])
2025-08-26T19:47:00.8888170Z 
2025-08-26T19:47:00.8888250Z     
2025-08-26T19:47:00.8888590Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.8888820Z 
2025-08-26T19:47:00.8889220Z msg = Cannot scrape callname=pad_packed_sequence in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/rnn.py line=350.
2025-08-26T19:47:00.8889840Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.8890160Z Pad a packed batch of variable length sequences.
2025-08-26T19:47:00.8890310Z 
2025-08-26T19:47:00.8890430Z     It is an inverse operation to :func:`pack_padded_sequence`.
2025-08-26T19:47:00.8890610Z 
2025-08-26T19:47:00.8890790Z     The returned Tensor's data will be of size ``T x B x *`` (if :attr:`batch_first` is ``False``)
2025-08-26T19:47:00.8891190Z     or ``B x T x *`` (if :attr:`batch_first` is ``True``) , where ``T`` is the length of the longest
2025-08-26T19:47:00.8891480Z     sequence and ``B`` is the batch size.
2025-08-26T19:47:00.8891620Z 
2025-08-26T19:47:00.8891670Z     Example:
2025-08-26T19:47:00.8891900Z         >>> from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
2025-08-26T19:47:00.8892220Z         >>> seq = torch.tensor([[1, 2, 0], [3, 0, 0], [4, 5, 6]])
2025-08-26T19:47:00.8892440Z         >>> lens = [2, 1, 3]
2025-08-26T19:47:00.8892620Z         >>> packed = pack_padded_sequence(
2025-08-26T19:47:00.8892850Z         ...     seq, lens, batch_first=True, enforce_sorted=False
2025-08-26T19:47:00.8893060Z         ... )
2025-08-26T19:47:00.8893190Z         >>> packed
2025-08-26T19:47:00.8893420Z         PackedSequence(data=tensor([4, 1, 3, 5, 2, 6]), batch_sizes=tensor([3, 2, 1]),
2025-08-26T19:47:00.8893780Z                        sorted_indices=tensor([2, 0, 1]), unsorted_indices=tensor([1, 2, 0]))
2025-08-26T19:47:00.8894150Z         >>> seq_unpacked, lens_unpacked = pad_packed_sequence(packed, batch_first=True)
2025-08-26T19:47:00.8894430Z         >>> seq_unpacked
2025-08-26T19:47:00.8894580Z         tensor([[1, 2, 0],
2025-08-26T19:47:00.8894740Z                 [3, 0, 0],
2025-08-26T19:47:00.8894890Z                 [4, 5, 6]])
2025-08-26T19:47:00.8895040Z         >>> lens_unpacked
2025-08-26T19:47:00.8895200Z         tensor([2, 1, 3])
2025-08-26T19:47:00.8895300Z 
2025-08-26T19:47:00.8895360Z     .. note::
2025-08-26T19:47:00.8895520Z         :attr:`total_length` is useful to implement the
2025-08-26T19:47:00.8895830Z         ``pack sequence -> recurrent network -> unpack sequence`` pattern in a
2025-08-26T19:47:00.8896180Z         :class:`~torch.nn.Module` wrapped in :class:`~torch.nn.DataParallel`.
2025-08-26T19:47:00.8896550Z         See :ref:`this FAQ section <pack-rnn-unpack-with-data-parallelism>` for
2025-08-26T19:47:00.8896850Z         details.
2025-08-26T19:47:00.8896940Z 
2025-08-26T19:47:00.8896990Z     Args:
2025-08-26T19:47:00.8897130Z         sequence (PackedSequence): batch to pad
2025-08-26T19:47:00.8897480Z         batch_first (bool, optional): if ``True``, the output will be in ``B x T x *``
2025-08-26T19:47:00.8897780Z             format, ``T x B x *`` otherwise.
2025-08-26T19:47:00.8898040Z         padding_value (float, optional): values for padded elements.
2025-08-26T19:47:00.8898380Z         total_length (int, optional): if not ``None``, the output will be padded to
2025-08-26T19:47:00.8898740Z             have length :attr:`total_length`. This method will throw :class:`ValueError`
2025-08-26T19:47:00.8899090Z             if :attr:`total_length` is less than the max sequence length in
2025-08-26T19:47:00.8899340Z             :attr:`sequence`.
2025-08-26T19:47:00.8899450Z 
2025-08-26T19:47:00.8899500Z     Returns:
2025-08-26T19:47:00.8899690Z         Tuple of Tensor containing the padded sequence, and a Tensor
2025-08-26T19:47:00.8900010Z         containing the list of lengths of each sequence in the batch.
2025-08-26T19:47:00.8900350Z         Batch elements will be re-ordered as they were ordered originally when
2025-08-26T19:47:00.8900700Z         the batch was passed to ``pack_padded_sequence`` or ``pack_sequence``.
2025-08-26T19:47:00.8901010Z     
2025-08-26T19:47:00.8901240Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.8901460Z 
2025-08-26T19:47:00.8901860Z msg = Cannot scrape callname=Unflatten in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/flatten.py line=66.
2025-08-26T19:47:00.8902460Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.8902690Z 
2025-08-26T19:47:00.8902890Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`.
2025-08-26T19:47:00.8903150Z 
2025-08-26T19:47:00.8903320Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can
2025-08-26T19:47:00.8903710Z   be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively.
2025-08-26T19:47:00.8903930Z 
2025-08-26T19:47:00.8904130Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be
2025-08-26T19:47:00.8904550Z   a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input;  a `NamedShape`
2025-08-26T19:47:00.8904890Z   (tuple of `(name, size)` tuples) for `NamedTensor` input.
2025-08-26T19:47:00.8905070Z 
2025-08-26T19:47:00.8905110Z Shape:
2025-08-26T19:47:00.8905320Z     - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at
2025-08-26T19:47:00.8905680Z       dimension :attr:`dim` and :math:`*` means any number of dimensions including none.
2025-08-26T19:47:00.8906050Z     - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and
2025-08-26T19:47:00.8906340Z       :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`.
2025-08-26T19:47:00.8906490Z 
2025-08-26T19:47:00.8906540Z Args:
2025-08-26T19:47:00.8906700Z     dim (Union[int, str]): Dimension to be unflattened
2025-08-26T19:47:00.8907080Z     unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension
2025-08-26T19:47:00.8907370Z 
2025-08-26T19:47:00.8907420Z Examples:
2025-08-26T19:47:00.8907560Z     >>> input = torch.randn(2, 50)
2025-08-26T19:47:00.8907730Z     >>> # With tuple of ints
2025-08-26T19:47:00.8907890Z     >>> m = nn.Sequential(
2025-08-26T19:47:00.8908040Z     >>>     nn.Linear(50, 50),
2025-08-26T19:47:00.8908210Z     >>>     nn.Unflatten(1, (2, 5, 5))
2025-08-26T19:47:00.8908370Z     >>> )
2025-08-26T19:47:00.8908490Z     >>> output = m(input)
2025-08-26T19:47:00.8908640Z     >>> output.size()
2025-08-26T19:47:00.8908780Z     torch.Size([2, 2, 5, 5])
2025-08-26T19:47:00.8908940Z     >>> # With torch.Size
2025-08-26T19:47:00.8909090Z     >>> m = nn.Sequential(
2025-08-26T19:47:00.8909340Z     >>>     nn.Linear(50, 50),
2025-08-26T19:47:00.8909530Z     >>>     nn.Unflatten(1, torch.Size([2, 5, 5]))
2025-08-26T19:47:00.8909710Z     >>> )
2025-08-26T19:47:00.8909880Z     >>> output = m(input)
2025-08-26T19:47:00.8910030Z     >>> output.size()
2025-08-26T19:47:00.8910170Z     torch.Size([2, 2, 5, 5])
2025-08-26T19:47:00.8910350Z     >>> # With namedshape (tuple of tuples)
2025-08-26T19:47:00.8910570Z     >>> input = torch.randn(2, 50, names=("N", "features"))
2025-08-26T19:47:00.8910860Z     >>> unflatten = nn.Unflatten("features", (("C", 2), ("H", 5), ("W", 5)))
2025-08-26T19:47:00.8911110Z     >>> output = unflatten(input)
2025-08-26T19:47:00.8911280Z     >>> output.size()
2025-08-26T19:47:00.8911420Z     torch.Size([2, 2, 5, 5])
2025-08-26T19:47:00.8911530Z 
2025-08-26T19:47:00.8911680Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.8911910Z 
2025-08-26T19:47:00.8912300Z msg = Cannot scrape callname=SyncBatchNorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=603.
2025-08-26T19:47:00.8912910Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.8913240Z Applies Batch Normalization over a N-Dimensional input.
2025-08-26T19:47:00.8913500Z 
2025-08-26T19:47:00.8913710Z     The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper
2025-08-26T19:47:00.8914120Z     `Batch Normalization: Accelerating Deep Network Training by Reducing
2025-08-26T19:47:00.8914460Z     Internal Covariate Shift <https://arxiv.org/abs/1502.03167>`__ .
2025-08-26T19:47:00.8914660Z 
2025-08-26T19:47:00.8914710Z     .. math::
2025-08-26T19:47:00.8914780Z 
2025-08-26T19:47:00.8914930Z         y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta
2025-08-26T19:47:00.8915130Z 
2025-08-26T19:47:00.8915270Z     The mean and standard-deviation are calculated per-dimension over all
2025-08-26T19:47:00.8915620Z     mini-batches of the same process groups. :math:`\gamma` and :math:`\beta`
2025-08-26T19:47:00.8915970Z     are learnable parameter vectors of size `C` (where `C` is the input size).
2025-08-26T19:47:00.8916290Z     By default, the elements of :math:`\gamma` are sampled from
2025-08-26T19:47:00.8916600Z     :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0.
2025-08-26T19:47:00.8916950Z     The standard-deviation is calculated via the biased estimator, equivalent to
2025-08-26T19:47:00.8917230Z     `torch.var(input, unbiased=False)`.
2025-08-26T19:47:00.8917360Z 
2025-08-26T19:47:00.8917510Z     Also by default, during training this layer keeps running estimates of its
2025-08-26T19:47:00.8917860Z     computed mean and variance, which are then used for normalization during
2025-08-26T19:47:00.8918220Z     evaluation. The running estimates are kept with a default :attr:`momentum`
2025-08-26T19:47:00.8918480Z     of 0.1.
2025-08-26T19:47:00.8918550Z 
2025-08-26T19:47:00.8918690Z     If :attr:`track_running_stats` is set to ``False``, this layer then does not
2025-08-26T19:47:00.8919050Z     keep running estimates, and batch statistics are instead used during
2025-08-26T19:47:00.8919320Z     evaluation time as well.
2025-08-26T19:47:00.8919430Z 
2025-08-26T19:47:00.8919470Z     .. note::
2025-08-26T19:47:00.8919690Z         This :attr:`momentum` argument is different from one used in optimizer
2025-08-26T19:47:00.8920030Z         classes and the conventional notion of momentum. Mathematically, the
2025-08-26T19:47:00.8920310Z         update rule for running statistics here is
2025-08-26T19:47:00.8920620Z         :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`,
2025-08-26T19:47:00.8920970Z         where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the
2025-08-26T19:47:00.8921220Z         new observed value.
2025-08-26T19:47:00.8921320Z 
2025-08-26T19:47:00.8921560Z     Because the Batch Normalization is done for each channel in the ``C`` dimension, computing
2025-08-26T19:47:00.8921960Z     statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch
2025-08-26T19:47:00.8922330Z     Normalization or Spatio-temporal Batch Normalization.
2025-08-26T19:47:00.8922500Z 
2025-08-26T19:47:00.8922590Z     Currently :class:`SyncBatchNorm` only supports
2025-08-26T19:47:00.8922920Z     :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use
2025-08-26T19:47:00.8923290Z     :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert
2025-08-26T19:47:00.8923610Z     :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping
2025-08-26T19:47:00.8923850Z     Network with DDP.
2025-08-26T19:47:00.8923950Z 
2025-08-26T19:47:00.8923990Z     Args:
2025-08-26T19:47:00.8924170Z         num_features: :math:`C` from an expected input of size
2025-08-26T19:47:00.8924390Z             :math:`(N, C, +)`
2025-08-26T19:47:00.8924610Z         eps: a value added to the denominator for numerical stability.
2025-08-26T19:47:00.8924850Z             Default: ``1e-5``
2025-08-26T19:47:00.8925070Z         momentum: the value used for the running_mean and running_var
2025-08-26T19:47:00.8925390Z             computation. Can be set to ``None`` for cumulative moving average
2025-08-26T19:47:00.8925740Z             (i.e. simple average). Default: 0.1
2025-08-26T19:47:00.8926000Z         affine: a boolean value that when set to ``True``, this module has
2025-08-26T19:47:00.8926280Z             learnable affine parameters. Default: ``True``
2025-08-26T19:47:00.8926560Z         track_running_stats: a boolean value that when set to ``True``, this
2025-08-26T19:47:00.8926900Z             module tracks the running mean and variance, and when set to ``False``,
2025-08-26T19:47:00.8927240Z             this module does not track such statistics, and initializes statistics
2025-08-26T19:47:00.8927570Z             buffers :attr:`running_mean` and :attr:`running_var` as ``None``.
2025-08-26T19:47:00.8927910Z             When these buffers are ``None``, this module always uses batch statistics.
2025-08-26T19:47:00.8928210Z             in both training and eval modes. Default: ``True``
2025-08-26T19:47:00.8928520Z         process_group: synchronization of stats happen within each process group
2025-08-26T19:47:00.8928870Z             individually. Default behavior is synchronization across the whole
2025-08-26T19:47:00.8929120Z             world
2025-08-26T19:47:00.8929200Z 
2025-08-26T19:47:00.8929250Z     Shape:
2025-08-26T19:47:00.8929380Z         - Input: :math:`(N, C, +)`
2025-08-26T19:47:00.8929590Z         - Output: :math:`(N, C, +)` (same shape as input)
2025-08-26T19:47:00.8929750Z 
2025-08-26T19:47:00.8929850Z     .. note::
2025-08-26T19:47:00.8930090Z         Synchronization of batchnorm statistics occurs only while training, i.e.
2025-08-26T19:47:00.8930440Z         synchronization is disabled when ``model.eval()`` is set or if
2025-08-26T19:47:00.8930710Z         ``self.training`` is otherwise ``False``.
2025-08-26T19:47:00.8930860Z 
2025-08-26T19:47:00.8930910Z     Examples::
2025-08-26T19:47:00.8931000Z 
2025-08-26T19:47:00.8931060Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:00.8931240Z         >>> # With Learnable Parameters
2025-08-26T19:47:00.8931430Z         >>> m = nn.SyncBatchNorm(100)
2025-08-26T19:47:00.8931640Z         >>> # creating process group (optional)
2025-08-26T19:47:00.8931880Z         >>> # ranks is a list of int identifying rank ids.
2025-08-26T19:47:00.8932100Z         >>> ranks = list(range(8))
2025-08-26T19:47:00.8932290Z         >>> r1, r2 = ranks[:4], ranks[4:]
2025-08-26T19:47:00.8932510Z         >>> # Note: every rank calls into new_group for every
2025-08-26T19:47:00.8932770Z         >>> # process group created, even if that rank is not
2025-08-26T19:47:00.8932990Z         >>> # part of the group.
2025-08-26T19:47:00.8933260Z         >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-08-26T19:47:00.8933690Z         >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-08-26T19:47:00.8933970Z         >>> # Without Learnable Parameters
2025-08-26T19:47:00.8934240Z         >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group)
2025-08-26T19:47:00.8934560Z         >>> input = torch.randn(20, 100, 35, 45, 10)
2025-08-26T19:47:00.8934760Z         >>> output = m(input)
2025-08-26T19:47:00.8934870Z 
2025-08-26T19:47:00.8934940Z         >>> # network is nn.BatchNorm layer
2025-08-26T19:47:00.8935260Z         >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group)
2025-08-26T19:47:00.8935600Z         >>> # only single gpu per process is currently supported
2025-08-26T19:47:00.8935920Z         >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel(
2025-08-26T19:47:00.8936200Z         >>>                         sync_bn_network,
2025-08-26T19:47:00.8936430Z         >>>                         device_ids=[args.local_rank],
2025-08-26T19:47:00.8936670Z         >>>                         output_device=args.local_rank)
2025-08-26T19:47:00.8936870Z     
2025-08-26T19:47:00.8937180Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.9047670Z 
2025-08-26T19:47:00.9048360Z msg = Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=830.
2025-08-26T19:47:00.9049330Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.9049760Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers.
2025-08-26T19:47:00.9050030Z 
2025-08-26T19:47:00.9050070Z         Args:
2025-08-26T19:47:00.9050310Z             module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers
2025-08-26T19:47:00.9050680Z             process_group (optional): process group to scope synchronization,
2025-08-26T19:47:00.9050960Z                 default is the whole world
2025-08-26T19:47:00.9051100Z 
2025-08-26T19:47:00.9051150Z         Returns:
2025-08-26T19:47:00.9051390Z             The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm`
2025-08-26T19:47:00.9051770Z             layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer,
2025-08-26T19:47:00.9052110Z             a new :class:`torch.nn.SyncBatchNorm` layer object will be returned
2025-08-26T19:47:00.9052360Z             instead.
2025-08-26T19:47:00.9052460Z 
2025-08-26T19:47:00.9052510Z         Example::
2025-08-26T19:47:00.9052610Z 
2025-08-26T19:47:00.9052680Z             >>> # Network with nn.BatchNorm layer
2025-08-26T19:47:00.9052920Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-26T19:47:00.9053160Z             >>> module = torch.nn.Sequential(
2025-08-26T19:47:00.9053380Z             >>>            torch.nn.Linear(20, 100),
2025-08-26T19:47:00.9053600Z             >>>            torch.nn.BatchNorm1d(100),
2025-08-26T19:47:00.9053800Z             >>>          ).cuda()
2025-08-26T19:47:00.9054000Z             >>> # creating process group (optional)
2025-08-26T19:47:00.9054250Z             >>> # ranks is a list of int identifying rank ids.
2025-08-26T19:47:00.9054470Z             >>> ranks = list(range(8))
2025-08-26T19:47:00.9054660Z             >>> r1, r2 = ranks[:4], ranks[4:]
2025-08-26T19:47:00.9054890Z             >>> # Note: every rank calls into new_group for every
2025-08-26T19:47:00.9055150Z             >>> # process group created, even if that rank is not
2025-08-26T19:47:00.9055370Z             >>> # part of the group.
2025-08-26T19:47:00.9055570Z             >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:00.9055870Z             >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-08-26T19:47:00.9056230Z             >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-08-26T19:47:00.9056680Z             >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group)
2025-08-26T19:47:00.9056940Z 
2025-08-26T19:47:00.9056990Z         
2025-08-26T19:47:00.9057210Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.9057490Z 
2025-08-26T19:47:00.9057890Z msg = Cannot scrape callname=MaxUnpool2d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py line=410.
2025-08-26T19:47:00.9058510Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.9058820Z Computes a partial inverse of :class:`MaxPool2d`.
2025-08-26T19:47:00.9058970Z 
2025-08-26T19:47:00.9059130Z     :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost.
2025-08-26T19:47:00.9059360Z 
2025-08-26T19:47:00.9059500Z     :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d`
2025-08-26T19:47:00.9059850Z     including the indices of the maximal values and computes a partial inverse
2025-08-26T19:47:00.9060150Z     in which all non-maximal values are set to zero.
2025-08-26T19:47:00.9060310Z 
2025-08-26T19:47:00.9060350Z     Note:
2025-08-26T19:47:00.9060600Z         This operation may behave nondeterministically when the input indices has repeat values.
2025-08-26T19:47:00.9061140Z         See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information.
2025-08-26T19:47:00.9061430Z 
2025-08-26T19:47:00.9061580Z     .. note:: :class:`MaxPool2d` can map several input sizes to the same output
2025-08-26T19:47:00.9061890Z               sizes. Hence, the inversion process can get ambiguous.
2025-08-26T19:47:00.9062180Z               To accommodate this, you can provide the needed output size
2025-08-26T19:47:00.9062500Z               as an additional argument :attr:`output_size` in the forward call.
2025-08-26T19:47:00.9062760Z               See the Inputs and Example below.
2025-08-26T19:47:00.9062900Z 
2025-08-26T19:47:00.9062950Z     Args:
2025-08-26T19:47:00.9063130Z         kernel_size (int or tuple): Size of the max pooling window.
2025-08-26T19:47:00.9063410Z         stride (int or tuple): Stride of the max pooling window.
2025-08-26T19:47:00.9063660Z             It is set to :attr:`kernel_size` by default.
2025-08-26T19:47:00.9063930Z         padding (int or tuple): Padding that was added to the input
2025-08-26T19:47:00.9064110Z 
2025-08-26T19:47:00.9064150Z     Inputs:
2025-08-26T19:47:00.9064290Z         - `input`: the input Tensor to invert
2025-08-26T19:47:00.9064550Z         - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d`
2025-08-26T19:47:00.9064840Z         - `output_size` (optional): the targeted output size
2025-08-26T19:47:00.9065000Z 
2025-08-26T19:47:00.9065050Z     Shape:
2025-08-26T19:47:00.9065240Z         - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`.
2025-08-26T19:47:00.9065560Z         - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where
2025-08-26T19:47:00.9065760Z 
2025-08-26T19:47:00.9065810Z           .. math::
2025-08-26T19:47:00.9066060Z             H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]}
2025-08-26T19:47:00.9066290Z 
2025-08-26T19:47:00.9066330Z           .. math::
2025-08-26T19:47:00.9066570Z             W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]}
2025-08-26T19:47:00.9066790Z 
2025-08-26T19:47:00.9066900Z           or as given by :attr:`output_size` in the call operator
2025-08-26T19:47:00.9067070Z 
2025-08-26T19:47:00.9067110Z     Example::
2025-08-26T19:47:00.9067190Z 
2025-08-26T19:47:00.9067290Z         >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True)
2025-08-26T19:47:00.9067530Z         >>> unpool = nn.MaxUnpool2d(2, stride=2)
2025-08-26T19:47:00.9067760Z         >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.],
2025-08-26T19:47:00.9067980Z                                     [ 5.,  6.,  7.,  8.],
2025-08-26T19:47:00.9068260Z                                     [ 9., 10., 11., 12.],
2025-08-26T19:47:00.9068470Z                                     [13., 14., 15., 16.]]]])
2025-08-26T19:47:00.9068770Z         >>> output, indices = pool(input)
2025-08-26T19:47:00.9068970Z         >>> unpool(output, indices)
2025-08-26T19:47:00.9069150Z         tensor([[[[  0.,   0.,   0.,   0.],
2025-08-26T19:47:00.9069330Z                   [  0.,   6.,   0.,   8.],
2025-08-26T19:47:00.9069510Z                   [  0.,   0.,   0.,   0.],
2025-08-26T19:47:00.9069690Z                   [  0.,  14.,   0.,  16.]]]])
2025-08-26T19:47:00.9069940Z         >>> # Now using output_size to resolve an ambiguous size for the inverse
2025-08-26T19:47:00.9070220Z         >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.,  5.],
2025-08-26T19:47:00.9070450Z                                     [ 6.,  7.,  8.,  9., 10.],
2025-08-26T19:47:00.9070650Z                                     [11., 12., 13., 14., 15.],
2025-08-26T19:47:00.9070860Z                                     [16., 17., 18., 19., 20.]]]])
2025-08-26T19:47:00.9071070Z         >>> output, indices = pool(input)
2025-08-26T19:47:00.9071300Z         >>> # This call will not work without specifying output_size
2025-08-26T19:47:00.9071570Z         >>> unpool(output, indices, output_size=input.size())
2025-08-26T19:47:00.9071870Z         tensor([[[[ 0.,  0.,  0.,  0.,  0.],
2025-08-26T19:47:00.9072050Z                   [ 0.,  7.,  0.,  9.,  0.],
2025-08-26T19:47:00.9072230Z                   [ 0.,  0.,  0.,  0.,  0.],
2025-08-26T19:47:00.9072410Z                   [ 0., 17.,  0., 19.,  0.]]]])
2025-08-26T19:47:00.9072540Z 
2025-08-26T19:47:00.9072540Z 
2025-08-26T19:47:00.9072580Z     
2025-08-26T19:47:00.9072800Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.9073010Z 
2025-08-26T19:47:00.9073450Z msg = Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1798.
2025-08-26T19:47:00.9074100Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.9074440Z Creates a criterion that measures the triplet loss given input
2025-08-26T19:47:00.9074750Z     tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor,
2025-08-26T19:47:00.9075070Z     positive, and negative examples, respectively), and a nonnegative,
2025-08-26T19:47:00.9075420Z     real-valued function ("distance function") used to compute the relationship
2025-08-26T19:47:00.9075770Z     between the anchor and positive example ("positive distance") and the
2025-08-26T19:47:00.9076060Z     anchor and negative example ("negative distance").
2025-08-26T19:47:00.9076220Z 
2025-08-26T19:47:00.9076340Z     The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``)
2025-08-26T19:47:00.9076590Z     can be described as:
2025-08-26T19:47:00.9076690Z 
2025-08-26T19:47:00.9076740Z     .. math::
2025-08-26T19:47:00.9076900Z         \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad
2025-08-26T19:47:00.9077150Z         l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\}
2025-08-26T19:47:00.9077310Z 
2025-08-26T19:47:00.9077470Z     where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function
2025-08-26T19:47:00.9077870Z     quantifying the closeness of two tensors, referred to as the :attr:`distance_function`;
2025-08-26T19:47:00.9078260Z     and :math:`margin` is a nonnegative margin representing the minimum difference
2025-08-26T19:47:00.9078620Z     between the positive and negative distances that is required for the loss to
2025-08-26T19:47:00.9078970Z     be 0.  The input tensors have :math:`N` elements each and can be of any shape
2025-08-26T19:47:00.9079250Z     that the distance function can handle.
2025-08-26T19:47:00.9079380Z 
2025-08-26T19:47:00.9079450Z     If :attr:`reduction` is not ``'none'``
2025-08-26T19:47:00.9079640Z     (default ``'mean'``), then:
2025-08-26T19:47:00.9079760Z 
2025-08-26T19:47:00.9079850Z     .. math::
2025-08-26T19:47:00.9079990Z         \ell(x, y) =
2025-08-26T19:47:00.9080130Z         \begin{cases}
2025-08-26T19:47:00.9080340Z             \operatorname{mean}(L), &  \text{if reduction} = \text{`mean';}\\
2025-08-26T19:47:00.9080680Z             \operatorname{sum}(L),  &  \text{if reduction} = \text{`sum'.}
2025-08-26T19:47:00.9080900Z         \end{cases}
2025-08-26T19:47:00.9080990Z 
2025-08-26T19:47:00.9081130Z     See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet
2025-08-26T19:47:00.9081500Z     loss for input tensors using the :math:`l_p` distance as the distance function.
2025-08-26T19:47:00.9081720Z 
2025-08-26T19:47:00.9081760Z     Args:
2025-08-26T19:47:00.9082000Z         distance_function (Callable, optional): A nonnegative, real-valued function that
2025-08-26T19:47:00.9082350Z             quantifies the closeness of two tensors. If not specified,
2025-08-26T19:47:00.9082640Z             `nn.PairwiseDistance` will be used.  Default: ``None``
2025-08-26T19:47:00.9082970Z         margin (float, optional): A nonnegative margin representing the minimum difference
2025-08-26T19:47:00.9083370Z             between the positive and negative distances required for the loss to be 0. Larger
2025-08-26T19:47:00.9083770Z             margins penalize cases where the negative examples are not distant enough from the
2025-08-26T19:47:00.9084190Z             anchors, relative to the positives. Default: :math:`1`.
2025-08-26T19:47:00.9084520Z         swap (bool, optional): Whether to use the distance swap described in the paper
2025-08-26T19:47:00.9084890Z             `Learning shallow convolutional feature descriptors with triplet losses` by
2025-08-26T19:47:00.9085260Z             V. Balntas, E. Riba et al. If True, and if the positive example is closer to the
2025-08-26T19:47:00.9085640Z             negative example than the anchor is, swaps the positive example and the anchor in
2025-08-26T19:47:00.9085950Z             the loss computation. Default: ``False``.
2025-08-26T19:47:00.9086270Z         reduction (str, optional): Specifies the (optional) reduction to apply to the output:
2025-08-26T19:47:00.9086620Z             ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-08-26T19:47:00.9086920Z             ``'mean'``: the sum of the output will be divided by the number of
2025-08-26T19:47:00.9087240Z             elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'``
2025-08-26T19:47:00.9087460Z 
2025-08-26T19:47:00.9087460Z 
2025-08-26T19:47:00.9087500Z     Shape:
2025-08-26T19:47:00.9087720Z         - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions
2025-08-26T19:47:00.9088010Z           as supported by the distance function.
2025-08-26T19:47:00.9088310Z         - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar
2025-08-26T19:47:00.9088580Z           otherwise.
2025-08-26T19:47:00.9088670Z 
2025-08-26T19:47:00.9088720Z     Examples:
2025-08-26T19:47:00.9088790Z 
2025-08-26T19:47:00.9088850Z     >>> # Initialize embeddings
2025-08-26T19:47:00.9089040Z     >>> embedding = nn.Embedding(1000, 128)
2025-08-26T19:47:00.9089250Z     >>> anchor_ids = torch.randint(0, 1000, (1,))
2025-08-26T19:47:00.9089470Z     >>> positive_ids = torch.randint(0, 1000, (1,))
2025-08-26T19:47:00.9089690Z     >>> negative_ids = torch.randint(0, 1000, (1,))
2025-08-26T19:47:00.9089890Z     >>> anchor = embedding(anchor_ids)
2025-08-26T19:47:00.9090090Z     >>> positive = embedding(positive_ids)
2025-08-26T19:47:00.9090290Z     >>> negative = embedding(negative_ids)
2025-08-26T19:47:00.9090460Z     >>>
2025-08-26T19:47:00.9090580Z     >>> # Built-in Distance Function
2025-08-26T19:47:00.9090750Z     >>> triplet_loss = \
2025-08-26T19:47:00.9091020Z     >>>     nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance())
2025-08-26T19:47:00.9091340Z     >>> output = triplet_loss(anchor, positive, negative)
2025-08-26T19:47:00.9091600Z     >>> output.backward()
2025-08-26T19:47:00.9091750Z     >>>
2025-08-26T19:47:00.9091870Z     >>> # Custom Distance Function
2025-08-26T19:47:00.9092050Z     >>> def l_infinity(x1, x2):
2025-08-26T19:47:00.9092280Z     >>>     return torch.max(torch.abs(x1 - x2), dim=1).values
2025-08-26T19:47:00.9092490Z     >>>
2025-08-26T19:47:00.9092670Z     >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time")
2025-08-26T19:47:00.9092900Z     >>> triplet_loss = (
2025-08-26T19:47:00.9093160Z     >>>     nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5))
2025-08-26T19:47:00.9093490Z     >>> output = triplet_loss(anchor, positive, negative)
2025-08-26T19:47:00.9093690Z     >>> output.backward()
2025-08-26T19:47:00.9093840Z     >>>
2025-08-26T19:47:00.9093960Z     >>> # Custom Distance Function (Lambda)
2025-08-26T19:47:00.9094150Z     >>> triplet_loss = (
2025-08-26T19:47:00.9094320Z     >>>     nn.TripletMarginWithDistanceLoss(
2025-08-26T19:47:00.9094600Z     >>>         distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y)))
2025-08-26T19:47:00.9094890Z     >>> output = triplet_loss(anchor, positive, negative)
2025-08-26T19:47:00.9095100Z     >>> output.backward()
2025-08-26T19:47:00.9095200Z 
2025-08-26T19:47:00.9095250Z     Reference:
2025-08-26T19:47:00.9095510Z         V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses:
2025-08-26T19:47:00.9095970Z         https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html
2025-08-26T19:47:00.9096200Z     
2025-08-26T19:47:00.9096420Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17))
2025-08-26T19:47:00.9860170Z 
2025-08-26T19:47:00.9860750Z msg = Cannot scrape callname=CTCLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1933.
2025-08-26T19:47:00.9861400Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.9861740Z The Connectionist Temporal Classification loss.
2025-08-26T19:47:00.9861900Z 
2025-08-26T19:47:00.9862130Z     Calculates loss between a continuous (unsegmented) time series and a target sequence. CTCLoss sums over the
2025-08-26T19:47:00.9862640Z     probability of possible alignments of input to target, producing a loss value which is differentiable
2025-08-26T19:47:00.9863120Z     with respect to each input node. The alignment of input to target is assumed to be "many-to-one", which
2025-08-26T19:47:00.9863570Z     limits the length of the target sequence such that it must be :math:`\leq` the input length.
2025-08-26T19:47:00.9863810Z 
2025-08-26T19:47:00.9863860Z     Args:
2025-08-26T19:47:00.9864030Z         blank (int, optional): blank label. Default :math:`0`.
2025-08-26T19:47:00.9864340Z         reduction (str, optional): Specifies the reduction to apply to the output:
2025-08-26T19:47:00.9864670Z             ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-08-26T19:47:00.9864990Z             ``'mean'``: the output losses will be divided by the target lengths and
2025-08-26T19:47:00.9865340Z             then the mean over the batch is taken, ``'sum'``: the output losses will be summed.
2025-08-26T19:47:00.9865610Z             Default: ``'mean'``
2025-08-26T19:47:00.9865790Z         zero_infinity (bool, optional):
2025-08-26T19:47:00.9866040Z             Whether to zero infinite losses and the associated gradients.
2025-08-26T19:47:00.9866280Z             Default: ``False``
2025-08-26T19:47:00.9866500Z             Infinite losses mainly occur when the inputs are too short
2025-08-26T19:47:00.9866740Z             to be aligned to the targets.
2025-08-26T19:47:00.9866870Z 
2025-08-26T19:47:00.9866910Z     Shape:
2025-08-26T19:47:00.9867100Z         - Log_probs: Tensor of size :math:`(T, N, C)` or :math:`(T, C)`,
2025-08-26T19:47:00.9867350Z           where :math:`T = \text{input length}`,
2025-08-26T19:47:00.9867560Z           :math:`N = \text{batch size}`, and
2025-08-26T19:47:00.9867940Z           :math:`C = \text{number of classes (including blank)}`.
2025-08-26T19:47:00.9868250Z           The logarithmized probabilities of the outputs (e.g. obtained with
2025-08-26T19:47:00.9868580Z           :func:`torch.nn.functional.log_softmax`).
2025-08-26T19:47:00.9868810Z         - Targets: Tensor of size :math:`(N, S)` or
2025-08-26T19:47:00.9869050Z           :math:`(\operatorname{sum}(\text{target\_lengths}))`,
2025-08-26T19:47:00.9869290Z           where :math:`N = \text{batch size}` and
2025-08-26T19:47:00.9869530Z           :math:`S = \text{max target length, if shape is } (N, S)`.
2025-08-26T19:47:00.9869820Z           It represents the target sequences. Each element in the target
2025-08-26T19:47:00.9870150Z           sequence is a class index. And the target index cannot be blank (default=0).
2025-08-26T19:47:00.9870460Z           In the :math:`(N, S)` form, targets are padded to the
2025-08-26T19:47:00.9870710Z           length of the longest sequence, and stacked.
2025-08-26T19:47:00.9870980Z           In the :math:`(\operatorname{sum}(\text{target\_lengths}))` form,
2025-08-26T19:47:00.9871250Z           the targets are assumed to be un-padded and
2025-08-26T19:47:00.9871470Z           concatenated within 1 dimension.
2025-08-26T19:47:00.9871730Z         - Input_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-08-26T19:47:00.9872180Z           where :math:`N = \text{batch size}`. It represents the lengths of the
2025-08-26T19:47:00.9872490Z           inputs (must each be :math:`\leq T`). And the lengths are specified
2025-08-26T19:47:00.9872830Z           for each sequence to achieve masking under the assumption that sequences
2025-08-26T19:47:00.9873100Z           are padded to equal lengths.
2025-08-26T19:47:00.9873360Z         - Target_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-08-26T19:47:00.9873680Z           where :math:`N = \text{batch size}`. It represents lengths of the targets.
2025-08-26T19:47:00.9874020Z           Lengths are specified for each sequence to achieve masking under the
2025-08-26T19:47:00.9874370Z           assumption that sequences are padded to equal lengths. If target shape is
2025-08-26T19:47:00.9874730Z           :math:`(N,S)`, target_lengths are effectively the stop index
2025-08-26T19:47:00.9875080Z           :math:`s_n` for each target sequence, such that ``target_n = targets[n,0:s_n]`` for
2025-08-26T19:47:00.9875430Z           each target in a batch. Lengths must each be :math:`\leq S`
2025-08-26T19:47:00.9875750Z           If the targets are given as a 1d tensor that is the concatenation of individual
2025-08-26T19:47:00.9876110Z           targets, the target_lengths must add up to the total length of the tensor.
2025-08-26T19:47:00.9876450Z         - Output: scalar if :attr:`reduction` is ``'mean'`` (default) or
2025-08-26T19:47:00.9876800Z           ``'sum'``. If :attr:`reduction` is ``'none'``, then :math:`(N)` if input is batched or
2025-08-26T19:47:00.9877140Z           :math:`()` if input is unbatched, where :math:`N = \text{batch size}`.
2025-08-26T19:47:00.9877320Z 
2025-08-26T19:47:00.9877370Z     Examples:
2025-08-26T19:47:00.9877450Z 
2025-08-26T19:47:00.9877510Z         >>> # Target are to be padded
2025-08-26T19:47:00.9877710Z         >>> T = 50  # Input sequence length
2025-08-26T19:47:00.9877920Z         >>> C = 20  # Number of classes (including blank)
2025-08-26T19:47:00.9878130Z         >>> N = 16  # Batch size
2025-08-26T19:47:00.9878400Z         >>> S = 30  # Target sequence length of longest target in batch (padding length)
2025-08-26T19:47:00.9878750Z         >>> S_min = 10  # Minimum target length, for demonstration purposes
2025-08-26T19:47:00.9878980Z         >>>
2025-08-26T19:47:00.9879180Z         >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-08-26T19:47:00.9879500Z         >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-08-26T19:47:00.9879730Z         >>>
2025-08-26T19:47:00.9880020Z         >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-08-26T19:47:00.9880340Z         >>> target = torch.randint(low=1, high=C, size=(N, S), dtype=torch.long)
2025-08-26T19:47:00.9880590Z         >>>
2025-08-26T19:47:00.9880840Z         >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-08-26T19:47:00.9881100Z         >>> target_lengths = torch.randint(
2025-08-26T19:47:00.9881290Z         ...     low=S_min,
2025-08-26T19:47:00.9881440Z         ...     high=S,
2025-08-26T19:47:00.9881580Z         ...     size=(N,),
2025-08-26T19:47:00.9881740Z         ...     dtype=torch.long,
2025-08-26T19:47:00.9881900Z         ... )
2025-08-26T19:47:00.9882020Z         >>> ctc_loss = nn.CTCLoss()
2025-08-26T19:47:00.9882260Z         >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-08-26T19:47:00.9882490Z         >>> loss.backward()
2025-08-26T19:47:00.9882640Z         >>>
2025-08-26T19:47:00.9889350Z         >>>
2025-08-26T19:47:00.9889490Z         >>> # Target are to be un-padded
2025-08-26T19:47:00.9889690Z         >>> T = 50  # Input sequence length
2025-08-26T19:47:00.9889910Z         >>> C = 20  # Number of classes (including blank)
2025-08-26T19:47:00.9890100Z         >>> N = 16  # Batch size
2025-08-26T19:47:00.9890260Z         >>>
2025-08-26T19:47:00.9890450Z         >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-08-26T19:47:00.9890880Z         >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-08-26T19:47:00.9891210Z         >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-08-26T19:47:00.9891460Z         >>>
2025-08-26T19:47:00.9891640Z         >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-08-26T19:47:00.9891980Z         >>> target_lengths = torch.randint(low=1, high=T, size=(N,), dtype=torch.long)
2025-08-26T19:47:00.9892260Z         >>> target = torch.randint(
2025-08-26T19:47:00.9892430Z         ...     low=1,
2025-08-26T19:47:00.9892560Z         ...     high=C,
2025-08-26T19:47:00.9892720Z         ...     size=(sum(target_lengths),),
2025-08-26T19:47:00.9892910Z         ...     dtype=torch.long,
2025-08-26T19:47:00.9893060Z         ... )
2025-08-26T19:47:00.9893190Z         >>> ctc_loss = nn.CTCLoss()
2025-08-26T19:47:00.9893430Z         >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-08-26T19:47:00.9893670Z         >>> loss.backward()
2025-08-26T19:47:00.9893820Z         >>>
2025-08-26T19:47:00.9893920Z         >>>
2025-08-26T19:47:00.9894100Z         >>> # Target are to be un-padded and unbatched (effectively N=1)
2025-08-26T19:47:00.9894350Z         >>> T = 50  # Input sequence length
2025-08-26T19:47:00.9894560Z         >>> C = 20  # Number of classes (including blank)
2025-08-26T19:47:00.9894750Z         >>>
2025-08-26T19:47:00.9894940Z         >>> # Initialize random batch of input vectors, for *size = (T,C)
2025-08-26T19:47:00.9895210Z         >>> # xdoctest: +SKIP("FIXME: error in doctest")
2025-08-26T19:47:00.9895480Z         >>> input = torch.randn(T, C).log_softmax(1).detach().requires_grad_()
2025-08-26T19:47:00.9895770Z         >>> input_lengths = torch.tensor(T, dtype=torch.long)
2025-08-26T19:47:00.9895980Z         >>>
2025-08-26T19:47:00.9896170Z         >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-08-26T19:47:00.9896500Z         >>> target_lengths = torch.randint(low=1, high=T, size=(), dtype=torch.long)
2025-08-26T19:47:00.9896770Z         >>> target = torch.randint(
2025-08-26T19:47:00.9896930Z         ...     low=1,
2025-08-26T19:47:00.9897070Z         ...     high=C,
2025-08-26T19:47:00.9897220Z         ...     size=(target_lengths,),
2025-08-26T19:47:00.9897400Z         ...     dtype=torch.long,
2025-08-26T19:47:00.9897560Z         ... )
2025-08-26T19:47:00.9897690Z         >>> ctc_loss = nn.CTCLoss()
2025-08-26T19:47:00.9897930Z         >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-08-26T19:47:00.9898160Z         >>> loss.backward()
2025-08-26T19:47:00.9898160Z 
2025-08-26T19:47:00.9898210Z     Reference:
2025-08-26T19:47:00.9898360Z         A. Graves et al.: Connectionist Temporal Classification:
2025-08-26T19:47:00.9898510Z         Labelling Unsegmented Sequence Data with Recurrent Neural Networks:
2025-08-26T19:47:00.9898640Z         https://www.cs.toronto.edu/~graves/icml_2006.pdf
2025-08-26T19:47:00.9898650Z 
2025-08-26T19:47:00.9898690Z     Note:
2025-08-26T19:47:00.9898840Z         In order to use CuDNN, the following must be satisfied: :attr:`targets` must be
2025-08-26T19:47:00.9899000Z         in concatenated format, all :attr:`input_lengths` must be `T`.  :math:`blank=0`,
2025-08-26T19:47:00.9899140Z         :attr:`target_lengths` :math:`\leq 256`, the integer arguments must be of
2025-08-26T19:47:00.9899210Z         dtype :attr:`torch.int32`.
2025-08-26T19:47:00.9899210Z 
2025-08-26T19:47:00.9899370Z         The regular implementation uses the (more common in PyTorch) `torch.long` dtype.
2025-08-26T19:47:00.9899370Z 
2025-08-26T19:47:00.9899370Z 
2025-08-26T19:47:00.9899420Z     Note:
2025-08-26T19:47:00.9899570Z         In some circumstances when using the CUDA backend with CuDNN, this operator
2025-08-26T19:47:00.9899730Z         may select a nondeterministic algorithm to increase performance. If this is
2025-08-26T19:47:00.9899880Z         undesirable, you can try to make the operation deterministic (potentially at
2025-08-26T19:47:00.9900090Z         a performance cost) by setting ``torch.backends.cudnn.deterministic =
2025-08-26T19:47:00.9900130Z         True``.
2025-08-26T19:47:00.9900260Z         Please see the notes on :doc:`/notes/randomness` for background.
2025-08-26T19:47:00.9900300Z     
2025-08-26T19:47:00.9900450Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.9900450Z 
2025-08-26T19:47:00.9900880Z msg = Cannot scrape callname=Transformer.forward in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/transformer.py line=186.
2025-08-26T19:47:00.9901040Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.9901130Z Take in and process masked source/target sequences.
2025-08-26T19:47:00.9901130Z 
2025-08-26T19:47:00.9901200Z         .. note::
2025-08-26T19:47:00.9901200Z 
2025-08-26T19:47:00.9901430Z             If a boolean tensor is provided for any of the [src/tgt/memory]_mask arguments, positions with a ``True`` value are
2025-08-26T19:47:00.9901520Z             not allowed to participate in the attention,
2025-08-26T19:47:00.9901650Z             which is the opposite of the definition for :attr:`attn_mask`
2025-08-26T19:47:00.9901760Z             in :func:`torch.nn.functional.scaled_dot_product_attention`.
2025-08-26T19:47:00.9901760Z 
2025-08-26T19:47:00.9901810Z         Args:
2025-08-26T19:47:00.9901890Z             src: the sequence to the encoder (required).
2025-08-26T19:47:00.9901970Z             tgt: the sequence to the decoder (required).
2025-08-26T19:47:00.9902090Z             src_mask: the additive mask for the src sequence (optional).
2025-08-26T19:47:00.9902200Z             tgt_mask: the additive mask for the tgt sequence (optional).
2025-08-26T19:47:00.9902320Z             memory_mask: the additive mask for the encoder output (optional).
2025-08-26T19:47:00.9902460Z             src_key_padding_mask: the Tensor mask for src keys per batch (optional).
2025-08-26T19:47:00.9902610Z             tgt_key_padding_mask: the Tensor mask for tgt keys per batch (optional).
2025-08-26T19:47:00.9902760Z             memory_key_padding_mask: the Tensor mask for memory keys per batch (optional).
2025-08-26T19:47:00.9902890Z             src_is_causal: If specified, applies a causal mask as ``src_mask``.
2025-08-26T19:47:00.9902980Z                 Default: ``None``; try to detect a causal mask.
2025-08-26T19:47:00.9903030Z                 Warning:
2025-08-26T19:47:00.9903130Z                 ``src_is_causal`` provides a hint that ``src_mask`` is
2025-08-26T19:47:00.9903240Z                 the causal mask. Providing incorrect hints can result in
2025-08-26T19:47:00.9903400Z                 incorrect execution, including forward and backward
2025-08-26T19:47:00.9903460Z                 compatibility.
2025-08-26T19:47:00.9903620Z             tgt_is_causal: If specified, applies a causal mask as ``tgt_mask``.
2025-08-26T19:47:00.9903710Z                 Default: ``None``; try to detect a causal mask.
2025-08-26T19:47:00.9903760Z                 Warning:
2025-08-26T19:47:00.9903860Z                 ``tgt_is_causal`` provides a hint that ``tgt_mask`` is
2025-08-26T19:47:00.9903980Z                 the causal mask. Providing incorrect hints can result in
2025-08-26T19:47:00.9904080Z                 incorrect execution, including forward and backward
2025-08-26T19:47:00.9904130Z                 compatibility.
2025-08-26T19:47:00.9904240Z             memory_is_causal: If specified, applies a causal mask as
2025-08-26T19:47:00.9904300Z                 ``memory_mask``.
2025-08-26T19:47:00.9904350Z                 Default: ``False``.
2025-08-26T19:47:00.9904400Z                 Warning:
2025-08-26T19:47:00.9904490Z                 ``memory_is_causal`` provides a hint that
2025-08-26T19:47:00.9904590Z                 ``memory_mask`` is the causal mask. Providing incorrect
2025-08-26T19:47:00.9904700Z                 hints can result in incorrect execution, including
2025-08-26T19:47:00.9904830Z                 forward and backward compatibility.
2025-08-26T19:47:00.9904830Z 
2025-08-26T19:47:00.9904880Z         Shape:
2025-08-26T19:47:00.9905040Z             - src: :math:`(S, E)` for unbatched input, :math:`(S, N, E)` if `batch_first=False` or
2025-08-26T19:47:00.9905110Z               `(N, S, E)` if `batch_first=True`.
2025-08-26T19:47:00.9905260Z             - tgt: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-08-26T19:47:00.9905330Z               `(N, T, E)` if `batch_first=True`.
2025-08-26T19:47:00.9905450Z             - src_mask: :math:`(S, S)` or :math:`(N\cdot\text{num\_heads}, S, S)`.
2025-08-26T19:47:00.9905570Z             - tgt_mask: :math:`(T, T)` or :math:`(N\cdot\text{num\_heads}, T, T)`.
2025-08-26T19:47:00.9905640Z             - memory_mask: :math:`(T, S)`.
2025-08-26T19:47:00.9905790Z             - src_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-08-26T19:47:00.9905940Z             - tgt_key_padding_mask: :math:`(T)` for unbatched input otherwise :math:`(N, T)`.
2025-08-26T19:47:00.9906100Z             - memory_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-08-26T19:47:00.9906100Z 
2025-08-26T19:47:00.9906290Z             Note: [src/tgt/memory]_mask ensures that position :math:`i` is allowed to attend the unmasked
2025-08-26T19:47:00.9906420Z             positions. If a BoolTensor is provided, positions with ``True``
2025-08-26T19:47:00.9906590Z             are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor
2025-08-26T19:47:00.9906690Z             is provided, it will be added to the attention weight.
2025-08-26T19:47:00.9906880Z             [src/tgt/memory]_key_padding_mask provides specified elements in the key to be ignored by
2025-08-26T19:47:00.9907010Z             the attention. If a BoolTensor is provided, the positions with the
2025-08-26T19:47:00.9907210Z             value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged.
2025-08-26T19:47:00.9907210Z 
2025-08-26T19:47:00.9907370Z             - output: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-08-26T19:47:00.9907440Z               `(N, T, E)` if `batch_first=True`.
2025-08-26T19:47:00.9907440Z 
2025-08-26T19:47:00.9907600Z             Note: Due to the multi-head attention architecture in the transformer model,
2025-08-26T19:47:00.9907740Z             the output sequence length of a transformer is same as the input sequence
2025-08-26T19:47:00.9907810Z             (i.e. target) length of the decoder.
2025-08-26T19:47:00.9907820Z 
2025-08-26T19:47:00.9908050Z             where :math:`S` is the source sequence length, :math:`T` is the target sequence length, :math:`N` is the
2025-08-26T19:47:00.9908140Z             batch size, :math:`E` is the feature number
2025-08-26T19:47:00.9908160Z 
2025-08-26T19:47:00.9908210Z         Examples:
2025-08-26T19:47:00.9908260Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:00.9908330Z             >>> output = transformer_model(
2025-08-26T19:47:00.9908430Z             ...     src, tgt, src_mask=src_mask, tgt_mask=tgt_mask
2025-08-26T19:47:00.9908480Z             ... )
2025-08-26T19:47:00.9908520Z         
2025-08-26T19:47:00.9908670Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.9926220Z 
2025-08-26T19:47:00.9926850Z msg = Cannot scrape callname=EmbeddingBag in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/sparse.py line=272.
2025-08-26T19:47:00.9927060Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.9927270Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings.
2025-08-26T19:47:00.9927270Z 
2025-08-26T19:47:00.9927490Z     For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`,
2025-08-26T19:47:00.9927680Z     and with 2D inputs, this class
2025-08-26T19:47:00.9927680Z 
2025-08-26T19:47:00.9927890Z         * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``,
2025-08-26T19:47:00.9928100Z         * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``,
2025-08-26T19:47:00.9928290Z         * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``.
2025-08-26T19:47:00.9928290Z 
2025-08-26T19:47:00.9928520Z     However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these
2025-08-26T19:47:00.9928570Z     operations.
2025-08-26T19:47:00.9928580Z 
2025-08-26T19:47:00.9928750Z     EmbeddingBag also supports per-sample weights as an argument to the forward
2025-08-26T19:47:00.9928910Z     pass. This scales the output of the Embedding before performing a weighted
2025-08-26T19:47:00.9929070Z     reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the
2025-08-26T19:47:00.9929230Z     only supported ``mode`` is ``"sum"``, which computes a weighted sum according to
2025-08-26T19:47:00.9929290Z     :attr:`per_sample_weights`.
2025-08-26T19:47:00.9929290Z 
2025-08-26T19:47:00.9929340Z     Args:
2025-08-26T19:47:00.9929460Z         num_embeddings (int): size of the dictionary of embeddings
2025-08-26T19:47:00.9929570Z         embedding_dim (int): the size of each embedding vector
2025-08-26T19:47:00.9929770Z         max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm`
2025-08-26T19:47:00.9929880Z                                     is renormalized to have norm :attr:`max_norm`.
2025-08-26T19:47:00.9930100Z         norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``.
2025-08-26T19:47:00.9930310Z         scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of
2025-08-26T19:47:00.9930430Z                                                 the words in the mini-batch. Default ``False``.
2025-08-26T19:47:00.9930550Z                                                 Note: this option is not supported when ``mode="max"``.
2025-08-26T19:47:00.9930720Z         mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag.
2025-08-26T19:47:00.9930860Z                                  ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights`
2025-08-26T19:47:00.9931010Z                                  into consideration. ``"mean"`` computes the average of the values
2025-08-26T19:47:00.9931300Z                                  in the bag, ``"max"`` computes the max value over each bag.
2025-08-26T19:47:00.9931390Z                                  Default: ``"mean"``
2025-08-26T19:47:00.9931590Z         sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See
2025-08-26T19:47:00.9931810Z                                  Notes for more details regarding sparse gradients. Note: this option is not
2025-08-26T19:47:00.9931890Z                                  supported when ``mode="max"``.
2025-08-26T19:47:00.9932130Z         include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element
2025-08-26T19:47:00.9932280Z                                       is equivalent to the size of `indices`. This matches the CSR format.
2025-08-26T19:47:00.9932490Z         padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the
2025-08-26T19:47:00.9932670Z                                      gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated
2025-08-26T19:47:00.9932830Z                                      during training, i.e. it remains as a fixed "pad". For a newly constructed
2025-08-26T19:47:00.9933000Z                                      EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all
2025-08-26T19:47:00.9933250Z                                      zeros, but can be updated to another value to be used as the padding vector.
2025-08-26T19:47:00.9933410Z                                      Note that the embedding vector at :attr:`padding_idx` is excluded from the
2025-08-26T19:47:00.9933480Z                                      reduction.
2025-08-26T19:47:00.9933480Z 
2025-08-26T19:47:00.9933530Z     Attributes:
2025-08-26T19:47:00.9933730Z         weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)`
2025-08-26T19:47:00.9933830Z                          initialized from :math:`\mathcal{N}(0, 1)`.
2025-08-26T19:47:00.9933840Z 
2025-08-26T19:47:00.9933900Z     Examples::
2025-08-26T19:47:00.9933900Z 
2025-08-26T19:47:00.9934010Z         >>> # an EmbeddingBag module containing 10 tensors of size 3
2025-08-26T19:47:00.9934120Z         >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum')
2025-08-26T19:47:00.9934200Z         >>> # a batch of 2 samples of 4 indices each
2025-08-26T19:47:00.9934330Z         >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long)
2025-08-26T19:47:00.9934420Z         >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-08-26T19:47:00.9934510Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-26T19:47:00.9934580Z         >>> embedding_sum(input, offsets)
2025-08-26T19:47:00.9934650Z         tensor([[-0.8861, -5.4350, -0.0523],
2025-08-26T19:47:00.9934720Z                 [ 1.1306, -2.5798, -1.0044]])
2025-08-26T19:47:00.9934720Z 
2025-08-26T19:47:00.9934780Z         >>> # Example with padding_idx
2025-08-26T19:47:00.9934920Z         >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2)
2025-08-26T19:47:00.9935040Z         >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long)
2025-08-26T19:47:00.9935130Z         >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-08-26T19:47:00.9935200Z         >>> embedding_sum(input, offsets)
2025-08-26T19:47:00.9935260Z         tensor([[ 0.0000,  0.0000,  0.0000],
2025-08-26T19:47:00.9935320Z                 [-0.7082,  3.2145, -2.6251]])
2025-08-26T19:47:00.9935330Z 
2025-08-26T19:47:00.9935440Z         >>> # An EmbeddingBag can be loaded from an Embedding like so
2025-08-26T19:47:00.9935530Z         >>> embedding = nn.Embedding(10, 3, padding_idx=2)
2025-08-26T19:47:00.9935640Z         >>> embedding_sum = nn.EmbeddingBag.from_pretrained(
2025-08-26T19:47:00.9935700Z                 embedding.weight,
2025-08-26T19:47:00.9935780Z                 padding_idx=embedding.padding_idx,
2025-08-26T19:47:00.9935830Z                 mode='sum')
2025-08-26T19:47:00.9935880Z     
2025-08-26T19:47:00.9936090Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.9936100Z 
2025-08-26T19:47:00.9936550Z msg = Cannot scrape callname=batch_isend_irecv in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2710.
2025-08-26T19:47:00.9936750Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.9936750Z 
2025-08-26T19:47:00.9936910Z Send or Receive a batch of tensors asynchronously and return a list of requests.
2025-08-26T19:47:00.9936920Z 
2025-08-26T19:47:00.9937070Z Process each of the operations in ``p2p_op_list`` and return the corresponding
2025-08-26T19:47:00.9937190Z requests. NCCL, Gloo, and UCC backend are currently supported.
2025-08-26T19:47:00.9937190Z 
2025-08-26T19:47:00.9937240Z Args:
2025-08-26T19:47:00.9937380Z     p2p_op_list: A list of point-to-point operations(type of each operator is
2025-08-26T19:47:00.9937520Z         ``torch.distributed.P2POp``). The order of the isend/irecv in the list
2025-08-26T19:47:00.9937660Z         matters and it needs to match with corresponding isend/irecv on the
2025-08-26T19:47:00.9937710Z         remote end.
2025-08-26T19:47:00.9937710Z 
2025-08-26T19:47:00.9937760Z Returns:
2025-08-26T19:47:00.9937970Z     A list of distributed request objects returned by calling the corresponding
2025-08-26T19:47:00.9938030Z     op in the op_list.
2025-08-26T19:47:00.9938030Z 
2025-08-26T19:47:00.9938070Z Examples:
2025-08-26T19:47:00.9938140Z     >>> # xdoctest: +SKIP("no rank")
2025-08-26T19:47:00.9938260Z     >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank
2025-08-26T19:47:00.9938360Z     >>> recv_tensor = torch.randn(2, dtype=torch.float32)
2025-08-26T19:47:00.9938490Z     >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size)
2025-08-26T19:47:00.9938550Z     >>> recv_op = dist.P2POp(
2025-08-26T19:47:00.9938670Z     ...     dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size
2025-08-26T19:47:00.9938710Z     ... )
2025-08-26T19:47:00.9938800Z     >>> reqs = batch_isend_irecv([send_op, recv_op])
2025-08-26T19:47:00.9938850Z     >>> for req in reqs:
2025-08-26T19:47:00.9938900Z     >>>     req.wait()
2025-08-26T19:47:00.9938950Z     >>> recv_tensor
2025-08-26T19:47:00.9939000Z     tensor([2, 3])     # Rank 0
2025-08-26T19:47:00.9939060Z     tensor([0, 1])     # Rank 1
2025-08-26T19:47:00.9939060Z 
2025-08-26T19:47:00.9939210Z .. note:: Note that when this API is used with the NCCL PG backend, users must set
2025-08-26T19:47:00.9939350Z     the current GPU device with `torch.cuda.set_device`, otherwise it will
2025-08-26T19:47:00.9939410Z     lead to unexpected hang issues.
2025-08-26T19:47:00.9939410Z 
2025-08-26T19:47:00.9939540Z     In addition, if this API is the first collective call in the ``group``
2025-08-26T19:47:00.9939680Z     passed to ``dist.P2POp``, all ranks of the ``group`` must participate in
2025-08-26T19:47:00.9939820Z     this API call; otherwise, the behavior is undefined. If this API call is
2025-08-26T19:47:00.9939960Z     not the first collective call in the ``group``, batched P2P operations
2025-08-26T19:47:00.9940090Z     involving only a subset of ranks of the ``group`` are allowed.
2025-08-26T19:47:00.9940090Z 
2025-08-26T19:47:00.9940240Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:00.9940250Z 
2025-08-26T19:47:00.9940660Z msg = Cannot scrape callname=all_reduce in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2842.
2025-08-26T19:47:00.9940820Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:00.9940820Z 
2025-08-26T19:47:00.9940980Z Reduces the tensor data across all machines in a way that all get the final result.
2025-08-26T19:47:00.9940990Z 
2025-08-26T19:47:00.9941130Z After the call ``tensor`` is going to be bitwise identical in all processes.
2025-08-26T19:47:00.9941180Z 
2025-08-26T19:47:00.9941250Z Complex tensors are supported.
2025-08-26T19:47:00.9941250Z 
2025-08-26T19:47:00.9941290Z Args:
2025-08-26T19:47:00.9941420Z     tensor (Tensor): Input and output of the collective. The function
2025-08-26T19:47:00.9941500Z         operates in-place.
2025-08-26T19:47:00.9941570Z     op (optional): One of the values from
2025-08-26T19:47:00.9941640Z         ``torch.distributed.ReduceOp``
2025-08-26T19:47:00.9941770Z         enum.  Specifies an operation used for element-wise reductions.
2025-08-26T19:47:00.9941910Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-08-26T19:47:00.9941990Z         the default process group will be used.
2025-08-26T19:47:00.9942110Z     async_op (bool, optional): Whether this op should be an async op
2025-08-26T19:47:00.9942110Z 
2025-08-26T19:47:00.9942160Z Returns:
2025-08-26T19:47:00.9942240Z     Async work handle, if async_op is set to True.
2025-08-26T19:47:00.9942330Z     None, if not async_op or if not part of the group
2025-08-26T19:47:00.9942340Z 
2025-08-26T19:47:00.9942380Z Examples:
2025-08-26T19:47:00.9942440Z     >>> # xdoctest: +SKIP("no rank")
2025-08-26T19:47:00.9942530Z     >>> # All tensors below are of torch.int64 type.
2025-08-26T19:47:00.9942600Z     >>> # We have 2 process groups, 2 ranks.
2025-08-26T19:47:00.9942750Z     >>> device = torch.device(f"cuda:{rank}")
2025-08-26T19:47:00.9942900Z     >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-08-26T19:47:00.9942940Z     >>> tensor
2025-08-26T19:47:00.9943010Z     tensor([1, 2], device='cuda:0') # Rank 0
2025-08-26T19:47:00.9943070Z     tensor([3, 4], device='cuda:1') # Rank 1
2025-08-26T19:47:00.9943150Z     >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-08-26T19:47:00.9943190Z     >>> tensor
2025-08-26T19:47:00.9943260Z     tensor([4, 6], device='cuda:0') # Rank 0
2025-08-26T19:47:00.9943320Z     tensor([4, 6], device='cuda:1') # Rank 1
2025-08-26T19:47:00.9943320Z 
2025-08-26T19:47:00.9943410Z     >>> # All tensors below are of torch.cfloat type.
2025-08-26T19:47:00.9943480Z     >>> # We have 2 process groups, 2 ranks.
2025-08-26T19:47:00.9943540Z     >>> tensor = torch.tensor(
2025-08-26T19:47:00.9943640Z     ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-08-26T19:47:00.9943690Z     ... ) + 2 * rank * (1 + 1j)
2025-08-26T19:47:00.9943740Z     >>> tensor
2025-08-26T19:47:00.9943820Z     tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-08-26T19:47:00.9943910Z     tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-08-26T19:47:00.9943980Z     >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-08-26T19:47:00.9944030Z     >>> tensor
2025-08-26T19:47:00.9944110Z     tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0
2025-08-26T19:47:00.9944190Z     tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1
2025-08-26T19:47:00.9944190Z 
2025-08-26T19:47:00.9944190Z 
2025-08-26T19:47:00.9944350Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.0042040Z 
2025-08-26T19:47:01.0042620Z msg = Cannot scrape callname=gather_object in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3202.
2025-08-26T19:47:01.0042830Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.0042830Z 
2025-08-26T19:47:01.0042980Z Gathers picklable objects from the whole group in a single process.
2025-08-26T19:47:01.0042980Z 
2025-08-26T19:47:01.0043130Z Similar to :func:`gather`, but Python objects can be passed in. Note that the
2025-08-26T19:47:01.0043220Z object must be picklable in order to be gathered.
2025-08-26T19:47:01.0043220Z 
2025-08-26T19:47:01.0043260Z Args:
2025-08-26T19:47:01.0043350Z     obj (Any): Input object. Must be picklable.
2025-08-26T19:47:01.0043480Z     object_gather_list (list[Any]): Output list. On the ``dst`` rank, it
2025-08-26T19:47:01.0043690Z         should be correctly sized as the size of the group for this
2025-08-26T19:47:01.0043830Z         collective and will contain the output. Must be ``None`` on non-dst
2025-08-26T19:47:01.0043900Z         ranks. (default is ``None``)
2025-08-26T19:47:01.0044120Z     dst (int, optional): Destination rank on global process group (regardless of ``group`` argument).
2025-08-26T19:47:01.0044260Z         (If both ``dst`` and ``group_dst`` are None, default is global rank 0)
2025-08-26T19:47:01.0044400Z     group: (ProcessGroup, optional): The process group to work on. If None,
2025-08-26T19:47:01.0044530Z         the default process group will be used. Default is ``None``.
2025-08-26T19:47:01.0044740Z     group_dst (int, optional): Destination rank on ``group``.  Invalid to specify both ``dst`` and ``group_dst``
2025-08-26T19:47:01.0044750Z 
2025-08-26T19:47:01.0044790Z Returns:
2025-08-26T19:47:01.0044910Z     None. On the ``dst`` rank, ``object_gather_list`` will contain the
2025-08-26T19:47:01.0044970Z     output of the collective.
2025-08-26T19:47:01.0044970Z 
2025-08-26T19:47:01.0045110Z .. note:: Note that this API differs slightly from the gather collective
2025-08-26T19:47:01.0045260Z     since it does not provide an async_op handle and thus will be a blocking
2025-08-26T19:47:01.0045300Z     call.
2025-08-26T19:47:01.0045300Z 
2025-08-26T19:47:01.0045450Z .. note:: For NCCL-based processed groups, internal tensor representations
2025-08-26T19:47:01.0045660Z     of objects must be moved to the GPU device before communication takes
2025-08-26T19:47:01.0045760Z     place. In this case, the device used is given by
2025-08-26T19:47:01.0045900Z     ``torch.cuda.current_device()`` and it is the user's responsibility to
2025-08-26T19:47:01.0046030Z     ensure that this is set so that each rank has an individual GPU, via
2025-08-26T19:47:01.0046090Z     ``torch.cuda.set_device()``.
2025-08-26T19:47:01.0046090Z 
2025-08-26T19:47:01.0046140Z .. warning::
2025-08-26T19:47:01.0046290Z     Object collectives have a number of serious performance and scalability
2025-08-26T19:47:01.0046410Z     limitations.  See :ref:`object_collectives` for details.
2025-08-26T19:47:01.0046410Z 
2025-08-26T19:47:01.0046460Z .. warning::
2025-08-26T19:47:01.0046590Z     :func:`gather_object` uses ``pickle`` module implicitly, which is
2025-08-26T19:47:01.0046730Z     known to be insecure. It is possible to construct malicious pickle data
2025-08-26T19:47:01.0046870Z     which will execute arbitrary code during unpickling. Only call this
2025-08-26T19:47:01.0046930Z     function with data you trust.
2025-08-26T19:47:01.0046930Z 
2025-08-26T19:47:01.0046980Z .. warning::
2025-08-26T19:47:01.0047110Z     Calling :func:`gather_object` with GPU tensors is not well supported
2025-08-26T19:47:01.0047270Z     and inefficient as it incurs GPU -> CPU transfer since tensors would be
2025-08-26T19:47:01.0047380Z     pickled. Please consider using :func:`gather` instead.
2025-08-26T19:47:01.0047380Z 
2025-08-26T19:47:01.0047430Z Example::
2025-08-26T19:47:01.0047520Z     >>> # xdoctest: +SKIP("need process group init")
2025-08-26T19:47:01.0047630Z     >>> # Note: Process group initialization omitted on each rank.
2025-08-26T19:47:01.0047710Z     >>> import torch.distributed as dist
2025-08-26T19:47:01.0047770Z     >>> # Assumes world_size of 3.
2025-08-26T19:47:01.0047880Z     >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object
2025-08-26T19:47:01.0047960Z     >>> output = [None for _ in gather_objects]
2025-08-26T19:47:01.0048010Z     >>> dist.gather_object(
2025-08-26T19:47:01.0048080Z     ...     gather_objects[dist.get_rank()],
2025-08-26T19:47:01.0048170Z     ...     output if dist.get_rank() == 0 else None,
2025-08-26T19:47:01.0048210Z     ...     dst=0
2025-08-26T19:47:01.0048250Z     ... )
2025-08-26T19:47:01.0048300Z     >>> # On rank 0
2025-08-26T19:47:01.0048350Z     >>> output
2025-08-26T19:47:01.0048400Z     ['foo', 12, {1: 2}]
2025-08-26T19:47:01.0048400Z 
2025-08-26T19:47:01.0048560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.0048560Z 
2025-08-26T19:47:01.0049060Z msg = Cannot scrape callname=all_gather in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3798.
2025-08-26T19:47:01.0049250Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.0049260Z 
2025-08-26T19:47:01.0049350Z Gathers tensors from the whole group in a list.
2025-08-26T19:47:01.0049350Z 
2025-08-26T19:47:01.0049430Z Complex and uneven sized tensors are supported.
2025-08-26T19:47:01.0049440Z 
2025-08-26T19:47:01.0049480Z Args:
2025-08-26T19:47:01.0049590Z     tensor_list (list[Tensor]): Output list. It should contain
2025-08-26T19:47:01.0049730Z         correctly-sized tensors to be used for output of the collective.
2025-08-26T19:47:01.0049800Z         Uneven sized tensors are supported.
2025-08-26T19:47:01.0049920Z     tensor (Tensor): Tensor to be broadcast from current process.
2025-08-26T19:47:01.0050060Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-08-26T19:47:01.0050150Z         the default process group will be used.
2025-08-26T19:47:01.0050270Z     async_op (bool, optional): Whether this op should be an async op
2025-08-26T19:47:01.0050270Z 
2025-08-26T19:47:01.0050330Z Returns:
2025-08-26T19:47:01.0050480Z     Async work handle, if async_op is set to True.
2025-08-26T19:47:01.0050580Z     None, if not async_op or if not part of the group
2025-08-26T19:47:01.0050580Z 
2025-08-26T19:47:01.0050620Z Examples:
2025-08-26T19:47:01.0050710Z     >>> # xdoctest: +SKIP("need process group init")
2025-08-26T19:47:01.0050790Z     >>> # All tensors below are of torch.int64 dtype.
2025-08-26T19:47:01.0050860Z     >>> # We have 2 process groups, 2 ranks.
2025-08-26T19:47:01.0050930Z     >>> device = torch.device(f"cuda:{rank}")
2025-08-26T19:47:01.0050980Z     >>> tensor_list = [
2025-08-26T19:47:01.0051120Z     ...     torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2)
2025-08-26T19:47:01.0051160Z     ... ]
2025-08-26T19:47:01.0051210Z     >>> tensor_list
2025-08-26T19:47:01.0051340Z     [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0
2025-08-26T19:47:01.0051470Z     [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1
2025-08-26T19:47:01.0051610Z     >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-08-26T19:47:01.0051660Z     >>> tensor
2025-08-26T19:47:01.0051730Z     tensor([1, 2], device='cuda:0') # Rank 0
2025-08-26T19:47:01.0051800Z     tensor([3, 4], device='cuda:1') # Rank 1
2025-08-26T19:47:01.0051870Z     >>> dist.all_gather(tensor_list, tensor)
2025-08-26T19:47:01.0051920Z     >>> tensor_list
2025-08-26T19:47:01.0052040Z     [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0
2025-08-26T19:47:01.0052170Z     [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1
2025-08-26T19:47:01.0052170Z 
2025-08-26T19:47:01.0052260Z     >>> # All tensors below are of torch.cfloat dtype.
2025-08-26T19:47:01.0052330Z     >>> # We have 2 process groups, 2 ranks.
2025-08-26T19:47:01.0052380Z     >>> tensor_list = [
2025-08-26T19:47:01.0052520Z     ...     torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2)
2025-08-26T19:47:01.0052560Z     ... ]
2025-08-26T19:47:01.0052610Z     >>> tensor_list
2025-08-26T19:47:01.0052770Z     [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0
2025-08-26T19:47:01.0052920Z     [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1
2025-08-26T19:47:01.0052980Z     >>> tensor = torch.tensor(
2025-08-26T19:47:01.0053070Z     ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-08-26T19:47:01.0053120Z     ... ) + 2 * rank * (1 + 1j)
2025-08-26T19:47:01.0053160Z     >>> tensor
2025-08-26T19:47:01.0053250Z     tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-08-26T19:47:01.0053330Z     tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-08-26T19:47:01.0053450Z     >>> dist.all_gather(tensor_list, tensor)
2025-08-26T19:47:01.0053490Z     >>> tensor_list
2025-08-26T19:47:01.0053650Z     [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0
2025-08-26T19:47:01.0053810Z     [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1
2025-08-26T19:47:01.0053820Z 
2025-08-26T19:47:01.0053820Z 
2025-08-26T19:47:01.0053980Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.0053980Z 
2025-08-26T19:47:01.0054400Z msg = Cannot scrape callname=all_to_all_single in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4504.
2025-08-26T19:47:01.0054560Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.0054570Z 
2025-08-26T19:47:01.0054720Z Split input tensor and then scatter the split list to all processes in a group.
2025-08-26T19:47:01.0054730Z 
2025-08-26T19:47:01.0054890Z Later the received tensors are concatenated from all the processes in the group
2025-08-26T19:47:01.0054950Z and returned as a single output tensor.
2025-08-26T19:47:01.0054960Z 
2025-08-26T19:47:01.0055020Z Complex tensors are supported.
2025-08-26T19:47:01.0055070Z 
2025-08-26T19:47:01.0055120Z Args:
2025-08-26T19:47:01.0055220Z     output (Tensor): Gathered concatenated output tensor.
2025-08-26T19:47:01.0055300Z     input (Tensor): Input tensor to scatter.
2025-08-26T19:47:01.0055430Z     output_split_sizes: (list[Int], optional): Output split sizes for dim 0
2025-08-26T19:47:01.0055560Z         if specified None or empty, dim 0 of ``output`` tensor must divide
2025-08-26T19:47:01.0055620Z         equally by ``world_size``.
2025-08-26T19:47:01.0055750Z     input_split_sizes: (list[Int], optional): Input split sizes for dim 0
2025-08-26T19:47:01.0055870Z         if specified None or empty, dim 0 of ``input`` tensor must divide
2025-08-26T19:47:01.0055940Z         equally by ``world_size``.
2025-08-26T19:47:01.0056080Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-08-26T19:47:01.0056160Z         the default process group will be used.
2025-08-26T19:47:01.0056280Z     async_op (bool, optional): Whether this op should be an async op.
2025-08-26T19:47:01.0056280Z 
2025-08-26T19:47:01.0056330Z Returns:
2025-08-26T19:47:01.0056410Z     Async work handle, if async_op is set to True.
2025-08-26T19:47:01.0056500Z     None, if not async_op or if not part of the group.
2025-08-26T19:47:01.0056500Z 
2025-08-26T19:47:01.0056550Z .. warning::
2025-08-26T19:47:01.0056660Z     `all_to_all_single` is experimental and subject to change.
2025-08-26T19:47:01.0056660Z 
2025-08-26T19:47:01.0056700Z Examples:
2025-08-26T19:47:01.0056770Z     >>> # xdoctest: +SKIP("Undefined rank")
2025-08-26T19:47:01.0056840Z     >>> input = torch.arange(4) + rank * 4
2025-08-26T19:47:01.0056880Z     >>> input
2025-08-26T19:47:01.0056940Z     tensor([0, 1, 2, 3])     # Rank 0
2025-08-26T19:47:01.0057000Z     tensor([4, 5, 6, 7])     # Rank 1
2025-08-26T19:47:01.0057050Z     tensor([8, 9, 10, 11])   # Rank 2
2025-08-26T19:47:01.0057110Z     tensor([12, 13, 14, 15]) # Rank 3
2025-08-26T19:47:01.0057200Z     >>> output = torch.empty([4], dtype=torch.int64)
2025-08-26T19:47:01.0057270Z     >>> dist.all_to_all_single(output, input)
2025-08-26T19:47:01.0057320Z     >>> output
2025-08-26T19:47:01.0057370Z     tensor([0, 4, 8, 12])    # Rank 0
2025-08-26T19:47:01.0057420Z     tensor([1, 5, 9, 13])    # Rank 1
2025-08-26T19:47:01.0057480Z     tensor([2, 6, 10, 14])   # Rank 2
2025-08-26T19:47:01.0057530Z     tensor([3, 7, 11, 15])   # Rank 3
2025-08-26T19:47:01.0057530Z 
2025-08-26T19:47:01.0057640Z     >>> # Essentially, it is similar to following operation:
2025-08-26T19:47:01.0057720Z     >>> scatter_list = list(input.chunk(world_size))
2025-08-26T19:47:01.0057810Z     >>> gather_list = list(output.chunk(world_size))
2025-08-26T19:47:01.0057910Z     >>> for i in range(world_size):
2025-08-26T19:47:01.0058060Z     >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i)
2025-08-26T19:47:01.0058060Z 
2025-08-26T19:47:01.0058150Z     >>> # Another example with uneven split
2025-08-26T19:47:01.0058200Z     >>> input
2025-08-26T19:47:01.0058300Z     tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-08-26T19:47:01.0058400Z     tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-08-26T19:47:01.0058500Z     tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-08-26T19:47:01.0058600Z     tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-08-26T19:47:01.0058650Z     >>> input_splits
2025-08-26T19:47:01.0058730Z     [2, 2, 1, 1]                                                     # Rank 0
2025-08-26T19:47:01.0058810Z     [3, 2, 2, 2]                                                     # Rank 1
2025-08-26T19:47:01.0058890Z     [2, 1, 1, 1]                                                     # Rank 2
2025-08-26T19:47:01.0058970Z     [2, 2, 2, 1]                                                     # Rank 3
2025-08-26T19:47:01.0059020Z     >>> output_splits
2025-08-26T19:47:01.0059100Z     [2, 3, 2, 2]                                                     # Rank 0
2025-08-26T19:47:01.0059240Z     [2, 2, 1, 2]                                                     # Rank 1
2025-08-26T19:47:01.0059320Z     [1, 2, 1, 2]                                                     # Rank 2
2025-08-26T19:47:01.0059400Z     [1, 2, 1, 1]                                                     # Rank 3
2025-08-26T19:47:01.0059450Z     >>> output = ...
2025-08-26T19:47:01.0059580Z     >>> dist.all_to_all_single(output, input, output_splits, input_splits)
2025-08-26T19:47:01.0059620Z     >>> output
2025-08-26T19:47:01.0059720Z     tensor([ 0,  1, 10, 11, 12, 20, 21, 30, 31])                     # Rank 0
2025-08-26T19:47:01.0059820Z     tensor([ 2,  3, 13, 14, 22, 32, 33])                             # Rank 1
2025-08-26T19:47:01.0059920Z     tensor([ 4, 15, 16, 23, 34, 35])                                 # Rank 2
2025-08-26T19:47:01.0060020Z     tensor([ 5, 17, 18, 24, 36])                                     # Rank 3
2025-08-26T19:47:01.0060020Z 
2025-08-26T19:47:01.0060020Z 
2025-08-26T19:47:01.0060120Z     >>> # Another example with tensors of torch.cfloat type.
2025-08-26T19:47:01.0060180Z     >>> input = torch.tensor(
2025-08-26T19:47:01.0060270Z     ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-08-26T19:47:01.0060320Z     ... ) + 4 * rank * (1 + 1j)
2025-08-26T19:47:01.0060370Z     >>> input
2025-08-26T19:47:01.0060480Z     tensor([1+1j, 2+2j, 3+3j, 4+4j])                                # Rank 0
2025-08-26T19:47:01.0060590Z     tensor([5+5j, 6+6j, 7+7j, 8+8j])                                # Rank 1
2025-08-26T19:47:01.0060700Z     tensor([9+9j, 10+10j, 11+11j, 12+12j])                          # Rank 2
2025-08-26T19:47:01.0060820Z     tensor([13+13j, 14+14j, 15+15j, 16+16j])                        # Rank 3
2025-08-26T19:47:01.0060970Z     >>> output = torch.empty([4], dtype=torch.int64)
2025-08-26T19:47:01.0061060Z     >>> dist.all_to_all_single(output, input)
2025-08-26T19:47:01.0061100Z     >>> output
2025-08-26T19:47:01.0067770Z     tensor([1+1j, 5+5j, 9+9j, 13+13j])                              # Rank 0
2025-08-26T19:47:01.0067900Z     tensor([2+2j, 6+6j, 10+10j, 14+14j])                            # Rank 1
2025-08-26T19:47:01.0068020Z     tensor([3+3j, 7+7j, 11+11j, 15+15j])                            # Rank 2
2025-08-26T19:47:01.0068130Z     tensor([4+4j, 8+8j, 12+12j, 16+16j])                            # Rank 3
2025-08-26T19:47:01.0068130Z 
2025-08-26T19:47:01.0068280Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.0288280Z 
2025-08-26T19:47:01.0289130Z msg = Cannot scrape callname=all_to_all in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4646.
2025-08-26T19:47:01.0289310Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.0289320Z 
2025-08-26T19:47:01.0289610Z Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list.
2025-08-26T19:47:01.0289650Z 
2025-08-26T19:47:01.0289730Z Complex tensors are supported.
2025-08-26T19:47:01.0289730Z 
2025-08-26T19:47:01.0289770Z Args:
2025-08-26T19:47:01.0289920Z     output_tensor_list (list[Tensor]): List of tensors to be gathered one
2025-08-26T19:47:01.0289970Z         per rank.
2025-08-26T19:47:01.0290130Z     input_tensor_list (list[Tensor]): List of tensors to scatter one per rank.
2025-08-26T19:47:01.0290270Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-08-26T19:47:01.0290360Z         the default process group will be used.
2025-08-26T19:47:01.0290490Z     async_op (bool, optional): Whether this op should be an async op.
2025-08-26T19:47:01.0290490Z 
2025-08-26T19:47:01.0290540Z Returns:
2025-08-26T19:47:01.0290630Z     Async work handle, if async_op is set to True.
2025-08-26T19:47:01.0290730Z     None, if not async_op or if not part of the group.
2025-08-26T19:47:01.0290740Z 
2025-08-26T19:47:01.0290800Z .. warning::
2025-08-26T19:47:01.0291030Z     `all_to_all` is experimental and subject to change.
2025-08-26T19:47:01.0291030Z 
2025-08-26T19:47:01.0291080Z Examples:
2025-08-26T19:47:01.0291160Z     >>> # xdoctest: +SKIP("Undefined rank")
2025-08-26T19:47:01.0291220Z     >>> input = torch.arange(4) + rank * 4
2025-08-26T19:47:01.0291290Z     >>> input = list(input.chunk(4))
2025-08-26T19:47:01.0291330Z     >>> input
2025-08-26T19:47:01.0291440Z     [tensor([0]), tensor([1]), tensor([2]), tensor([3])]     # Rank 0
2025-08-26T19:47:01.0291550Z     [tensor([4]), tensor([5]), tensor([6]), tensor([7])]     # Rank 1
2025-08-26T19:47:01.0291660Z     [tensor([8]), tensor([9]), tensor([10]), tensor([11])]   # Rank 2
2025-08-26T19:47:01.0291770Z     [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3
2025-08-26T19:47:01.0291880Z     >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-08-26T19:47:01.0291950Z     >>> dist.all_to_all(output, input)
2025-08-26T19:47:01.0292000Z     >>> output
2025-08-26T19:47:01.0292110Z     [tensor([0]), tensor([4]), tensor([8]), tensor([12])]    # Rank 0
2025-08-26T19:47:01.0292210Z     [tensor([1]), tensor([5]), tensor([9]), tensor([13])]    # Rank 1
2025-08-26T19:47:01.0292320Z     [tensor([2]), tensor([6]), tensor([10]), tensor([14])]   # Rank 2
2025-08-26T19:47:01.0292420Z     [tensor([3]), tensor([7]), tensor([11]), tensor([15])]   # Rank 3
2025-08-26T19:47:01.0292420Z 
2025-08-26T19:47:01.0292530Z     >>> # Essentially, it is similar to following operation:
2025-08-26T19:47:01.0292580Z     >>> scatter_list = input
2025-08-26T19:47:01.0292640Z     >>> gather_list = output
2025-08-26T19:47:01.0292700Z     >>> for i in range(world_size):
2025-08-26T19:47:01.0292850Z     >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i)
2025-08-26T19:47:01.0292860Z 
2025-08-26T19:47:01.0292900Z     >>> input
2025-08-26T19:47:01.0293010Z     tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-08-26T19:47:01.0293110Z     tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-08-26T19:47:01.0293220Z     tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-08-26T19:47:01.0293320Z     tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-08-26T19:47:01.0293370Z     >>> input_splits
2025-08-26T19:47:01.0293450Z     [2, 2, 1, 1]                                                     # Rank 0
2025-08-26T19:47:01.0293530Z     [3, 2, 2, 2]                                                     # Rank 1
2025-08-26T19:47:01.0293610Z     [2, 1, 1, 1]                                                     # Rank 2
2025-08-26T19:47:01.0293780Z     [2, 2, 2, 1]                                                     # Rank 3
2025-08-26T19:47:01.0293840Z     >>> output_splits
2025-08-26T19:47:01.0293920Z     [2, 3, 2, 2]                                                     # Rank 0
2025-08-26T19:47:01.0294040Z     [2, 2, 1, 2]                                                     # Rank 1
2025-08-26T19:47:01.0294120Z     [1, 2, 1, 2]                                                     # Rank 2
2025-08-26T19:47:01.0294200Z     [1, 2, 1, 1]                                                     # Rank 3
2025-08-26T19:47:01.0294280Z     >>> input = list(input.split(input_splits))
2025-08-26T19:47:01.0294320Z     >>> input
2025-08-26T19:47:01.0294450Z     [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])]                   # Rank 0
2025-08-26T19:47:01.0294580Z     [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1
2025-08-26T19:47:01.0294700Z     [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])]                 # Rank 2
2025-08-26T19:47:01.0294830Z     [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])]         # Rank 3
2025-08-26T19:47:01.0294870Z     >>> output = ...
2025-08-26T19:47:01.0294940Z     >>> dist.all_to_all(output, input)
2025-08-26T19:47:01.0294980Z     >>> output
2025-08-26T19:47:01.0295100Z     [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])]   # Rank 0
2025-08-26T19:47:01.0295300Z     [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])]           # Rank 1
2025-08-26T19:47:01.0295430Z     [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])]              # Rank 2
2025-08-26T19:47:01.0295550Z     [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])]                  # Rank 3
2025-08-26T19:47:01.0295550Z 
2025-08-26T19:47:01.0295650Z     >>> # Another example with tensors of torch.cfloat type.
2025-08-26T19:47:01.0295710Z     >>> input = torch.tensor(
2025-08-26T19:47:01.0295800Z     ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-08-26T19:47:01.0295860Z     ... ) + 4 * rank * (1 + 1j)
2025-08-26T19:47:01.0295920Z     >>> input = list(input.chunk(4))
2025-08-26T19:47:01.0295970Z     >>> input
2025-08-26T19:47:01.0296100Z     [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])]            # Rank 0
2025-08-26T19:47:01.0296230Z     [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])]            # Rank 1
2025-08-26T19:47:01.0296370Z     [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])]      # Rank 2
2025-08-26T19:47:01.0296510Z     [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])]    # Rank 3
2025-08-26T19:47:01.0296620Z     >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-08-26T19:47:01.0296690Z     >>> dist.all_to_all(output, input)
2025-08-26T19:47:01.0296730Z     >>> output
2025-08-26T19:47:01.0296860Z     [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])]          # Rank 0
2025-08-26T19:47:01.0296990Z     [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])]        # Rank 1
2025-08-26T19:47:01.0297110Z     [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])]        # Rank 2
2025-08-26T19:47:01.0297240Z     [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])]        # Rank 3
2025-08-26T19:47:01.0297240Z 
2025-08-26T19:47:01.0297240Z 
2025-08-26T19:47:01.0297410Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.0297410Z 
2025-08-26T19:47:01.0297780Z msg = Cannot scrape callname=__doc__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/launch.py line=2.
2025-08-26T19:47:01.0297940Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.0297950Z 
2025-08-26T19:47:01.0298010Z Module ``torch.distributed.launch``.
2025-08-26T19:47:01.0298020Z 
2025-08-26T19:47:01.0298180Z ``torch.distributed.launch`` is a module that spawns up multiple distributed
2025-08-26T19:47:01.0298310Z training processes on each of the training nodes.
2025-08-26T19:47:01.0298310Z 
2025-08-26T19:47:01.0298370Z .. warning::
2025-08-26T19:47:01.0298370Z 
2025-08-26T19:47:01.0298530Z     This module is going to be deprecated in favor of :ref:`torchrun <launcher-api>`.
2025-08-26T19:47:01.0298550Z 
2025-08-26T19:47:01.0298710Z The utility can be used for single-node distributed training, in which one or
2025-08-26T19:47:01.0298850Z more processes per node will be spawned. The utility can be used for either
2025-08-26T19:47:01.0298990Z CPU training or GPU training. If the utility is used for GPU training,
2025-08-26T19:47:01.0299140Z each distributed process will be operating on a single GPU. This can achieve
2025-08-26T19:47:01.0299280Z well-improved single-node training performance. It can also be used in
2025-08-26T19:47:01.0299440Z multi-node distributed training, by spawning up multiple processes on each node
2025-08-26T19:47:01.0299590Z for well-improved multi-node distributed training performance as well.
2025-08-26T19:47:01.0299730Z This will especially be beneficial for systems with multiple Infiniband
2025-08-26T19:47:01.0299880Z interfaces that have direct-GPU support, since all of them can be utilized for
2025-08-26T19:47:01.0299950Z aggregated communication bandwidth.
2025-08-26T19:47:01.0299950Z 
2025-08-26T19:47:01.0300160Z In both cases of single-node distributed training or multi-node distributed
2025-08-26T19:47:01.0300310Z training, this utility will launch the given number of processes per node
2025-08-26T19:47:01.0300450Z (``--nproc-per-node``). If used for GPU training, this number needs to be less
2025-08-26T19:47:01.0300590Z or equal to the number of GPUs on the current system (``nproc_per_node``),
2025-08-26T19:47:01.0300710Z and each process will be operating on a single GPU from *GPU 0 to
2025-08-26T19:47:01.0300770Z GPU (nproc_per_node - 1)*.
2025-08-26T19:47:01.0300780Z 
2025-08-26T19:47:01.0300830Z **How to use this module:**
2025-08-26T19:47:01.0300840Z 
2025-08-26T19:47:01.0300930Z 1. Single-Node multi-process distributed training
2025-08-26T19:47:01.0300930Z 
2025-08-26T19:47:01.0300980Z ::
2025-08-26T19:47:01.0300980Z 
2025-08-26T19:47:01.0301130Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-08-26T19:47:01.0301260Z                YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other
2025-08-26T19:47:01.0301340Z                arguments of your training script)
2025-08-26T19:47:01.0301340Z 
2025-08-26T19:47:01.0301470Z 2. Multi-Node multi-process distributed training: (e.g. two nodes)
2025-08-26T19:47:01.0301470Z 
2025-08-26T19:47:01.0301470Z 
2025-08-26T19:47:01.0301560Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)*
2025-08-26T19:47:01.0301570Z 
2025-08-26T19:47:01.0301610Z ::
2025-08-26T19:47:01.0301610Z 
2025-08-26T19:47:01.0301750Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-08-26T19:47:01.0301860Z                --nnodes=2 --node-rank=0 --master-addr="192.168.1.1"
2025-08-26T19:47:01.0302000Z                --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-08-26T19:47:01.0302090Z                and all other arguments of your training script)
2025-08-26T19:47:01.0302100Z 
2025-08-26T19:47:01.0302150Z Node 2:
2025-08-26T19:47:01.0302150Z 
2025-08-26T19:47:01.0302190Z ::
2025-08-26T19:47:01.0302190Z 
2025-08-26T19:47:01.0302340Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-08-26T19:47:01.0302440Z                --nnodes=2 --node-rank=1 --master-addr="192.168.1.1"
2025-08-26T19:47:01.0302560Z                --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-08-26T19:47:01.0302660Z                and all other arguments of your training script)
2025-08-26T19:47:01.0302660Z 
2025-08-26T19:47:01.0302760Z 3. To look up what optional arguments this module offers:
2025-08-26T19:47:01.0302770Z 
2025-08-26T19:47:01.0302810Z ::
2025-08-26T19:47:01.0302810Z 
2025-08-26T19:47:01.0302890Z     python -m torch.distributed.launch --help
2025-08-26T19:47:01.0302940Z 
2025-08-26T19:47:01.0302940Z 
2025-08-26T19:47:01.0302990Z **Important Notices:**
2025-08-26T19:47:01.0303000Z 
2025-08-26T19:47:01.0303120Z 1. This utility and multi-process distributed (single-node or
2025-08-26T19:47:01.0303290Z multi-node) GPU training currently only achieves the best performance using
2025-08-26T19:47:01.0303450Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to
2025-08-26T19:47:01.0303500Z use for GPU training.
2025-08-26T19:47:01.0303500Z 
2025-08-26T19:47:01.0303640Z 2. In your training program, you must parse the command-line argument:
2025-08-26T19:47:01.0303780Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module.
2025-08-26T19:47:01.0303920Z If your training program uses GPUs, you should ensure that your code only
2025-08-26T19:47:01.0304040Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by:
2025-08-26T19:47:01.0304050Z 
2025-08-26T19:47:01.0304110Z Parsing the local_rank argument
2025-08-26T19:47:01.0304120Z 
2025-08-26T19:47:01.0304160Z ::
2025-08-26T19:47:01.0304160Z 
2025-08-26T19:47:01.0304220Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:01.0304270Z     >>> import argparse
2025-08-26T19:47:01.0304340Z     >>> parser = argparse.ArgumentParser()
2025-08-26T19:47:01.0304470Z     >>> parser.add_argument("--local-rank", "--local_rank", type=int)
2025-08-26T19:47:01.0304590Z     >>> args = parser.parse_args()
2025-08-26T19:47:01.0304590Z 
2025-08-26T19:47:01.0304660Z Set your device to local rank using either
2025-08-26T19:47:01.0304660Z 
2025-08-26T19:47:01.0304710Z ::
2025-08-26T19:47:01.0304710Z 
2025-08-26T19:47:01.0304840Z     >>> torch.cuda.set_device(args.local_rank)  # before your code runs
2025-08-26T19:47:01.0304850Z 
2025-08-26T19:47:01.0304890Z or
2025-08-26T19:47:01.0304890Z 
2025-08-26T19:47:01.0304930Z ::
2025-08-26T19:47:01.0304940Z 
2025-08-26T19:47:01.0305020Z     >>> with torch.cuda.device(args.local_rank):
2025-08-26T19:47:01.0305080Z     >>>    # your code to run
2025-08-26T19:47:01.0305120Z     >>>    ...
2025-08-26T19:47:01.0305130Z 
2025-08-26T19:47:01.0305190Z .. versionchanged:: 2.0.0
2025-08-26T19:47:01.0305190Z 
2025-08-26T19:47:01.0305340Z     The launcher will passes the ``--local-rank=<rank>`` argument to your script.
2025-08-26T19:47:01.0305490Z     From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the
2025-08-26T19:47:01.0305580Z     previously used underscored ``--local_rank``.
2025-08-26T19:47:01.0305590Z 
2025-08-26T19:47:01.0305730Z     For backward compatibility, it may be necessary for users to handle both
2025-08-26T19:47:01.0305900Z     cases in their argument parsing code. This means including both ``"--local-rank"``
2025-08-26T19:47:01.0306030Z     and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is
2025-08-26T19:47:01.0306180Z     provided, the launcher will trigger an error: "error: unrecognized arguments:
2025-08-26T19:47:01.0306330Z     --local-rank=<rank>". For training code that only supports PyTorch 2.0.0+,
2025-08-26T19:47:01.0306430Z     including ``"--local-rank"`` should be sufficient.
2025-08-26T19:47:01.0306430Z 
2025-08-26T19:47:01.0306580Z 3. In your training program, you are supposed to call the following function
2025-08-26T19:47:01.0306730Z at the beginning to start the distributed backend. It is strongly recommended
2025-08-26T19:47:01.0306960Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work,
2025-08-26T19:47:01.0307090Z but ``env://`` is the one that is officially supported by this module.
2025-08-26T19:47:01.0307090Z 
2025-08-26T19:47:01.0307140Z ::
2025-08-26T19:47:01.0307140Z 
2025-08-26T19:47:01.0307270Z     >>> torch.distributed.init_process_group(backend='YOUR BACKEND',
2025-08-26T19:47:01.0307370Z     >>>                                      init_method='env://')
2025-08-26T19:47:01.0307370Z 
2025-08-26T19:47:01.0307530Z 4. In your training program, you can either use regular distributed functions
2025-08-26T19:47:01.0307720Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your
2025-08-26T19:47:01.0307860Z training program uses GPUs for training and you would like to use
2025-08-26T19:47:01.0307990Z :func:`torch.nn.parallel.DistributedDataParallel` module,
2025-08-26T19:47:01.0308070Z here is how to configure it.
2025-08-26T19:47:01.0308080Z 
2025-08-26T19:47:01.0308130Z ::
2025-08-26T19:47:01.0308130Z 
2025-08-26T19:47:01.0308260Z     >>> model = torch.nn.parallel.DistributedDataParallel(model,
2025-08-26T19:47:01.0308360Z     >>>                                                   device_ids=[args.local_rank],
2025-08-26T19:47:01.0308470Z     >>>                                                   output_device=args.local_rank)
2025-08-26T19:47:01.0308470Z 
2025-08-26T19:47:01.0308640Z Please ensure that ``device_ids`` argument is set to be the only GPU device id
2025-08-26T19:47:01.0308790Z that your code will be operating on. This is generally the local rank of the
2025-08-26T19:47:01.0308950Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``,
2025-08-26T19:47:01.0309090Z and ``output_device`` needs to be ``args.local_rank`` in order to use this
2025-08-26T19:47:01.0309140Z utility
2025-08-26T19:47:01.0309140Z 
2025-08-26T19:47:01.0309300Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable
2025-08-26T19:47:01.0309510Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with
2025-08-26T19:47:01.0309660Z ``--use-env=True``. You must adjust the subprocess example above to replace
2025-08-26T19:47:01.0309790Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher
2025-08-26T19:47:01.0309900Z will not pass ``--local-rank`` when you specify this flag.
2025-08-26T19:47:01.0309900Z 
2025-08-26T19:47:01.0309950Z .. warning::
2025-08-26T19:47:01.0309960Z 
2025-08-26T19:47:01.0310090Z     ``local_rank`` is NOT globally unique: it is only unique per process
2025-08-26T19:47:01.0310220Z     on a machine.  Thus, don't use it to decide if you should, e.g.,
2025-08-26T19:47:01.0310290Z     write to a networked filesystem.  See
2025-08-26T19:47:01.0310440Z     https://github.com/pytorch/pytorch/issues/12042 for an example of
2025-08-26T19:47:01.0310550Z     how things can go wrong if you don't do this correctly.
2025-08-26T19:47:01.0310550Z 
2025-08-26T19:47:01.0310550Z 
2025-08-26T19:47:01.0310560Z 
2025-08-26T19:47:01.0310560Z 
2025-08-26T19:47:01.0310720Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.0483900Z 
2025-08-26T19:47:01.0484530Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/device_mesh.py line=721.
2025-08-26T19:47:01.0484700Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:01.0484700Z 
2025-08-26T19:47:01.0484870Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-08-26T19:47:01.0485050Z The submesh created consists of the dimensions and the communicators indicated by
2025-08-26T19:47:01.0485100Z ``mesh_dim_names``
2025-08-26T19:47:01.0485100Z 
2025-08-26T19:47:01.0485150Z Args:
2025-08-26T19:47:01.0485300Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-08-26T19:47:01.0485420Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-08-26T19:47:01.0485470Z Returns:
2025-08-26T19:47:01.0485540Z     A :class:`DeviceMesh` object
2025-08-26T19:47:01.0485540Z 
2025-08-26T19:47:01.0485720Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-08-26T19:47:01.0485770Z In the first example:
2025-08-26T19:47:01.0485970Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-08-26T19:47:01.0486120Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-08-26T19:47:01.0486270Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-08-26T19:47:01.0486560Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-08-26T19:47:01.0486710Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-08-26T19:47:01.0486900Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-08-26T19:47:01.0486910Z 
2025-08-26T19:47:01.0486960Z In the second example:
2025-08-26T19:47:01.0487130Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-08-26T19:47:01.0487290Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-08-26T19:47:01.0487460Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-08-26T19:47:01.0487620Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-08-26T19:47:01.0487620Z 
2025-08-26T19:47:01.0487680Z Example::
2025-08-26T19:47:01.0487680Z 
2025-08-26T19:47:01.0487750Z     >>> # xdoctest: +SKIP("no rank")
2025-08-26T19:47:01.0487870Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-08-26T19:47:01.0487910Z     >>>
2025-08-26T19:47:01.0488040Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-08-26T19:47:01.0488240Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-08-26T19:47:01.0488410Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-26T19:47:01.0488460Z     >>> tp_mesh = mesh_2d["tp"]
2025-08-26T19:47:01.0488530Z     >>> dp_mesh = mesh_2d["dp"]
2025-08-26T19:47:01.0488570Z     >>>
2025-08-26T19:47:01.0488630Z     >>> # Initialize a 3D mesh.
2025-08-26T19:47:01.0488800Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-08-26T19:47:01.0489000Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-08-26T19:47:01.0489060Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-08-26T19:47:01.0489130Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-08-26T19:47:01.0489130Z 
2025-08-26T19:47:01.0489540Z Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-08-26T19:47:01.0489540Z 
2025-08-26T19:47:01.0489710Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-26T19:47:01.0489790Z                                                                                  ^
2025-08-26T19:47:01.0490280Z msg = Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=40.
2025-08-26T19:47:01.0490450Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.0490450Z 
2025-08-26T19:47:01.0490640Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint
2025-08-26T19:47:01.0490800Z on the coordinator rank, and then broadcast and shard each tensor to all ranks.
2025-08-26T19:47:01.0490800Z 
2025-08-26T19:47:01.0490910Z . N.B. Intended to be used with DynamicMetaLoadPlanner
2025-08-26T19:47:01.0490910Z 
2025-08-26T19:47:01.0490960Z .. warning::
2025-08-26T19:47:01.0491070Z     Current implementation only supports loading Tensors.
2025-08-26T19:47:01.0491070Z 
2025-08-26T19:47:01.0491140Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:01.0491190Z >>> sd = {"mode": model}
2025-08-26T19:47:01.0491240Z >>> dcp.load(
2025-08-26T19:47:01.0491290Z >>>    sd,
2025-08-26T19:47:01.0491380Z >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-08-26T19:47:01.0491450Z >>>    planner=DynamicMetaLoadPlanner(),
2025-08-26T19:47:01.0491520Z >>>    checkpoint_id="path_to_model.pt"
2025-08-26T19:47:01.0491560Z >>> )
2025-08-26T19:47:01.0491570Z 
2025-08-26T19:47:01.0491770Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.0491780Z 
2025-08-26T19:47:01.0492260Z msg = Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=151.
2025-08-26T19:47:01.0492460Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.0492460Z 
2025-08-26T19:47:01.0492690Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict,
2025-08-26T19:47:01.0492890Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a
2025-08-26T19:47:01.0492960Z metadata file, like Torch Save files.
2025-08-26T19:47:01.0492960Z 
2025-08-26T19:47:01.0493070Z . N.B. Intended to be used with BroadcastingTorchSaveReader
2025-08-26T19:47:01.0493070Z 
2025-08-26T19:47:01.0493120Z .. warning::
2025-08-26T19:47:01.0493230Z     Current implementation only supports loading Tensors.
2025-08-26T19:47:01.0493230Z 
2025-08-26T19:47:01.0493300Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:01.0493360Z >>> sd = {"mode": model}
2025-08-26T19:47:01.0493410Z >>> dcp.load(
2025-08-26T19:47:01.0493450Z >>>    sd,
2025-08-26T19:47:01.0493610Z >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-08-26T19:47:01.0493680Z >>>    planner=DynamicMetaLoadPlanner(),
2025-08-26T19:47:01.0493750Z >>>    checkpoint_id="path_to_model.pt"
2025-08-26T19:47:01.0493790Z >>> )
2025-08-26T19:47:01.0493790Z 
2025-08-26T19:47:01.0493950Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.0493950Z 
2025-08-26T19:47:01.0494390Z msg = Cannot scrape callname=SavePlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-08-26T19:47:01.0494550Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.0494550Z 
2025-08-26T19:47:01.0494730Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-08-26T19:47:01.0494730Z 
2025-08-26T19:47:01.0494900Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-08-26T19:47:01.0494910Z 
2025-08-26T19:47:01.0495080Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-26T19:47:01.0495150Z will be visible to the whole process.
2025-08-26T19:47:01.0495150Z 
2025-08-26T19:47:01.0495320Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-08-26T19:47:01.0495320Z 
2025-08-26T19:47:01.0495390Z 1) set_up_planner - called on all ranks.
2025-08-26T19:47:01.0495460Z     Signals the start of a checkpoint save.
2025-08-26T19:47:01.0495470Z 
2025-08-26T19:47:01.0495540Z 2) create_local_plan - called on all ranks.
2025-08-26T19:47:01.0495720Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-08-26T19:47:01.0495720Z 
2025-08-26T19:47:01.0495830Z 3) create_global_plan - called on the coordinator rank only.
2025-08-26T19:47:01.0495960Z     Takes the SavePlan from all ranks and make any global decision.
2025-08-26T19:47:01.0495970Z 
2025-08-26T19:47:01.0496030Z 4) finish_plan - called on all ranks.
2025-08-26T19:47:01.0496160Z     This gives each rank a chance to adjust to global planning decisions.
2025-08-26T19:47:01.0496170Z 
2025-08-26T19:47:01.0496260Z 5) resolve_data - called multiple times on each rank
2025-08-26T19:47:01.0496390Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-08-26T19:47:01.0496390Z 
2025-08-26T19:47:01.0496570Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-08-26T19:47:01.0496690Z most changes can be expressed by changes in a single method.
2025-08-26T19:47:01.0496690Z 
2025-08-26T19:47:01.0496760Z There are 3 usual patterns of extension:
2025-08-26T19:47:01.0496800Z 
2025-08-26T19:47:01.0496960Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-08-26T19:47:01.0497110Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-08-26T19:47:01.0497130Z 
2025-08-26T19:47:01.0497200Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:01.0497280Z >>> class RenamePlanner(DefaultSavePlanner):
2025-08-26T19:47:01.0497330Z >>>     def set_up_planner(
2025-08-26T19:47:01.0497380Z >>>         self,
2025-08-26T19:47:01.0497440Z >>>         state_dict: STATE_DICT_TYPE,
2025-08-26T19:47:01.0497520Z >>>         storage_meta: Optional[StorageMeta],
2025-08-26T19:47:01.0497570Z >>>         is_coordinator: bool,
2025-08-26T19:47:01.0497620Z >>>     ) -> None:
2025-08-26T19:47:01.0497680Z >>> # prefix all keys with `foo_``
2025-08-26T19:47:01.0497860Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-08-26T19:47:01.0497870Z 
2025-08-26T19:47:01.0498070Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-08-26T19:47:01.0498070Z 
2025-08-26T19:47:01.0498140Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:01.0498210Z >>> class FP16Planner(DefaultSavePlanner):
2025-08-26T19:47:01.0498330Z >>>     def create_local_plan(self):
2025-08-26T19:47:01.0498410Z >>>         plan = super().create_local_plan()
2025-08-26T19:47:01.0498460Z >>>         for p in plan:
2025-08-26T19:47:01.0498530Z >>>             if p.tensor_data is not None:
2025-08-26T19:47:01.0498630Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-08-26T19:47:01.0498680Z >>>         return plan
2025-08-26T19:47:01.0498720Z >>>
2025-08-26T19:47:01.0498790Z >>>     def resolve_data(self, write_item):
2025-08-26T19:47:01.0498870Z >>>         item = super().resolve_data(write_item)
2025-08-26T19:47:01.0499040Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-08-26T19:47:01.0499040Z 
2025-08-26T19:47:01.0499250Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-08-26T19:47:01.0499250Z 
2025-08-26T19:47:01.0499310Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:01.0499380Z >>> from itertools import zip_longest
2025-08-26T19:47:01.0499450Z >>> from dataclasses import replace
2025-08-26T19:47:01.0499550Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-08-26T19:47:01.0499720Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-08-26T19:47:01.0499800Z >>> # This sample doesn't handle ShardedTensors
2025-08-26T19:47:01.0499880Z >>>     def create_global_plan(self, all_plans):
2025-08-26T19:47:01.0499970Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-08-26T19:47:01.0500030Z >>>         items_per_rank = [
2025-08-26T19:47:01.0500120Z >>>             [item for item in items if item is not None]
2025-08-26T19:47:01.0500220Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-08-26T19:47:01.0500260Z >>>         ]
2025-08-26T19:47:01.0500320Z >>>         all_plans = [
2025-08-26T19:47:01.0500380Z >>>             replace(plan, items=items)
2025-08-26T19:47:01.0500500Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-08-26T19:47:01.0500550Z >>>         ]
2025-08-26T19:47:01.0500640Z >>>         return super().create_global_plan(all_plans)
2025-08-26T19:47:01.0500640Z 
2025-08-26T19:47:01.0500800Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-08-26T19:47:01.0500970Z accomplished by having each rank contribute their data items in the local plan and
2025-08-26T19:47:01.0501030Z the global planner aggregate them:
2025-08-26T19:47:01.0501030Z 
2025-08-26T19:47:01.0501100Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:01.0501190Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-08-26T19:47:01.0501310Z >>>     def create_local_plan(self) -> SavePlan:
2025-08-26T19:47:01.0501390Z >>>         plan = super().create_local_plan()
2025-08-26T19:47:01.0501490Z >>>         return replace(plan, planner_data="per-rank-data")
2025-08-26T19:47:01.0501550Z >>>
2025-08-26T19:47:01.0501740Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-08-26T19:47:01.0501860Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-08-26T19:47:01.0501960Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-08-26T19:47:01.0502070Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-08-26T19:47:01.0502130Z >>>         return global_plan, metadata
2025-08-26T19:47:01.0502130Z 
2025-08-26T19:47:01.0502290Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.0647980Z 
2025-08-26T19:47:01.0648590Z msg = Cannot scrape callname=LoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-08-26T19:47:01.0648800Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.0648810Z 
2025-08-26T19:47:01.0648990Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-08-26T19:47:01.0649120Z 
2025-08-26T19:47:01.0649310Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-08-26T19:47:01.0649310Z 
2025-08-26T19:47:01.0649490Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-26T19:47:01.0649560Z will be visible to the whole process.
2025-08-26T19:47:01.0649560Z 
2025-08-26T19:47:01.0649740Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-08-26T19:47:01.0649740Z 
2025-08-26T19:47:01.0649810Z 1) set_up_planner - called on all ranks.
2025-08-26T19:47:01.0649900Z     Signals the start of loading a checkpoint.
2025-08-26T19:47:01.0649900Z 
2025-08-26T19:47:01.0649980Z 2) create_local_plan - called on all ranks.
2025-08-26T19:47:01.0650170Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-08-26T19:47:01.0650170Z 
2025-08-26T19:47:01.0650280Z 3) create_global_plan - called on the coordinator rank only.
2025-08-26T19:47:01.0650420Z     Takes the LoadPlan from all ranks and make any global decision.
2025-08-26T19:47:01.0650420Z 
2025-08-26T19:47:01.0650510Z 4) load_bytes - called multiple times on each rank
2025-08-26T19:47:01.0650620Z     This is called once per non-tensor value in state_dict.
2025-08-26T19:47:01.0650620Z 
2025-08-26T19:47:01.0650770Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-08-26T19:47:01.0650880Z     They are called in pair for each Tensor value in state_dict.
2025-08-26T19:47:01.0650890Z 
2025-08-26T19:47:01.0651080Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-08-26T19:47:01.0651200Z most changes can be expressed by changes in a single method.
2025-08-26T19:47:01.0651200Z 
2025-08-26T19:47:01.0651280Z There are two usual patterns of extension:
2025-08-26T19:47:01.0651290Z 
2025-08-26T19:47:01.0651460Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-08-26T19:47:01.0651620Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-08-26T19:47:01.0651760Z to keep a reference to the original state_dict as load happens in place so
2025-08-26T19:47:01.0651840Z we need to be able to perform it in place
2025-08-26T19:47:01.0651840Z 
2025-08-26T19:47:01.0651900Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:01.0651990Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-08-26T19:47:01.0652050Z >>>     def set_up_planner(
2025-08-26T19:47:01.0652100Z >>>         self,
2025-08-26T19:47:01.0652160Z >>>         state_dict: STATE_DICT_TYPE,
2025-08-26T19:47:01.0652220Z >>>         metadata: Metadata,
2025-08-26T19:47:01.0652450Z >>>         is_coordinator: bool,
2025-08-26T19:47:01.0652500Z >>>     ) -> None:
2025-08-26T19:47:01.0652590Z >>>         self.original_state_dict = state_dict
2025-08-26T19:47:01.0652740Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-08-26T19:47:01.0652790Z >>>
2025-08-26T19:47:01.0652870Z >>>         if self.flatten_sharded_tensors:
2025-08-26T19:47:01.0652970Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-08-26T19:47:01.0653010Z >>>
2025-08-26T19:47:01.0653080Z >>>         if self.flatten_state_dict:
2025-08-26T19:47:01.0653200Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-08-26T19:47:01.0653240Z >>>
2025-08-26T19:47:01.0653310Z >>>         self.state_dict = state_dict
2025-08-26T19:47:01.0653370Z >>>         self.metadata = metadata
2025-08-26T19:47:01.0653450Z >>>         self.is_coordinator = is_coordinator
2025-08-26T19:47:01.0653490Z >>>
2025-08-26T19:47:01.0653570Z >>>     def load_bytes(self, read_item, value):
2025-08-26T19:47:01.0653630Z >>> # Remove the "foo_" prefix
2025-08-26T19:47:01.0653840Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-08-26T19:47:01.0653840Z 
2025-08-26T19:47:01.0653840Z 
2025-08-26T19:47:01.0654010Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-08-26T19:47:01.0654080Z 
2025-08-26T19:47:01.0654150Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:01.0654250Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-08-26T19:47:01.0654320Z >>>     def resolve_tensor(self, read_item):
2025-08-26T19:47:01.0654410Z >>>         tensor = super().resolve_tensor(read_item)
2025-08-26T19:47:01.0654500Z >>>         return torch.empty_like(tensor, device="cpu")
2025-08-26T19:47:01.0654550Z >>>
2025-08-26T19:47:01.0654630Z >>>     def commit_tensor(self, read_item, tensor):
2025-08-26T19:47:01.0654730Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-08-26T19:47:01.0654730Z 
2025-08-26T19:47:01.0654890Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.0654890Z 
2025-08-26T19:47:01.0655350Z msg = Cannot scrape callname=get_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py line=1118.
2025-08-26T19:47:01.0655520Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.0655520Z 
2025-08-26T19:47:01.0655620Z Return the model state_dict and optimizers state_dict.
2025-08-26T19:47:01.0655630Z 
2025-08-26T19:47:01.0655770Z ``get_state_dict`` can process any module that is parallelized by PyTorch
2025-08-26T19:47:01.0655930Z FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any
2025-08-26T19:47:01.0656080Z combination of these parallelisms. The main functions of ``get_state_dict``
2025-08-26T19:47:01.0656230Z are: 1.) returning a model and optimizer state_dict that can be resharded
2025-08-26T19:47:01.0656360Z with a different number of trainers and/or different parallelisms.
2025-08-26T19:47:01.0656520Z 2.) hiding the parallelism-specific state_dict APIs. Users don't have to call
2025-08-26T19:47:01.0656570Z these APIs.
2025-08-26T19:47:01.0656640Z 3.) sanity checking the result state_dict.
2025-08-26T19:47:01.0656650Z 
2025-08-26T19:47:01.0656780Z The keys of the result state dictionary are the canonical FQNs (Fully
2025-08-26T19:47:01.0656940Z Qualified Names).  A canonical FQN refers to the FQN based on a parameter's
2025-08-26T19:47:01.0657090Z position in an nn.Module hierarchy. More specifically, a canonical FQN to a
2025-08-26T19:47:01.0657220Z parameter is the FQN returned by ``module.named_parameters()`` or
2025-08-26T19:47:01.0657350Z ``module.named_buffers()`` when the module is not distributed by any
2025-08-26T19:47:01.0657520Z parallelisms. Since the optimizer internally uses parameter IDs to represent
2025-08-26T19:47:01.0657700Z a parameter, there will be a conversion from the parameter IDs to the
2025-08-26T19:47:01.0657770Z canonical FQNs when calling this API.
2025-08-26T19:47:01.0657780Z 
2025-08-26T19:47:01.0657920Z ``get_state_dict`` can also process a module that is not parallelized. In
2025-08-26T19:47:01.0658090Z such a case, ``get_state_dict`` only performs one function -- converting the
2025-08-26T19:47:01.0658180Z optimizer parameter IDs to the canonical FQNs.
2025-08-26T19:47:01.0658180Z 
2025-08-26T19:47:01.0658230Z Example:
2025-08-26T19:47:01.0658290Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:01.0658340Z     >>> import torch
2025-08-26T19:47:01.0658490Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-26T19:47:01.0658620Z     >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-08-26T19:47:01.0658760Z     >>> from torch.distributed.checkpoint.state_dict import get_state_dict
2025-08-26T19:47:01.0658770Z 
2025-08-26T19:47:01.0658840Z     >>> fsdp_model = FSDP(copy.deepcopy(model))
2025-08-26T19:47:01.0658970Z     >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-08-26T19:47:01.0659040Z     >>> ddp_model = DDP(copy.deepcopy(model))
2025-08-26T19:47:01.0659160Z     >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-08-26T19:47:01.0659160Z 
2025-08-26T19:47:01.0659220Z 
2025-08-26T19:47:01.0659370Z     >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim)
2025-08-26T19:47:01.0659480Z     >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict(
2025-08-26T19:47:01.0659540Z     ...     fsdp_model, fsdp_optim
2025-08-26T19:47:01.0659580Z     ... )
2025-08-26T19:47:01.0659580Z 
2025-08-26T19:47:01.0659720Z     >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(),
2025-08-26T19:47:01.0659780Z     >>> # the asserts will fail.
2025-08-26T19:47:01.0659850Z     >>> assert ddp_state_dict == fsdp_state_dict
2025-08-26T19:47:01.0659950Z     >>> assert ddp_optim_state == fsdp_optim_state_dict
2025-08-26T19:47:01.0659950Z 
2025-08-26T19:47:01.0659950Z 
2025-08-26T19:47:01.0660000Z Args:
2025-08-26T19:47:01.0660080Z     model (nn.Module): the nn.Module to the model.
2025-08-26T19:47:01.0660190Z     optimizers (Union[None, Optimizer, Iterable[Optimizer]]):
2025-08-26T19:47:01.0660290Z         The optimizers that are used to optimize ``model``.
2025-08-26T19:47:01.0660460Z     submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters
2025-08-26T19:47:01.0660530Z         that belong to the submodules.
2025-08-26T19:47:01.0660640Z     options (StateDictOptions): the options to control how
2025-08-26T19:47:01.0660770Z         model state_dict and optimizer state_dict should be returned. See
2025-08-26T19:47:01.0660840Z         `StateDictOptions` for the details.
2025-08-26T19:47:01.0660840Z 
2025-08-26T19:47:01.0660890Z Returns:
2025-08-26T19:47:01.0661010Z     ``Tuple`` that contain model state_dict and optimizer state_dict.
2025-08-26T19:47:01.0661010Z 
2025-08-26T19:47:01.0661160Z :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType]
2025-08-26T19:47:01.0661160Z 
2025-08-26T19:47:01.0661320Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.0661320Z 
2025-08-26T19:47:01.0661750Z msg = Cannot scrape callname=save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=97.
2025-08-26T19:47:01.0661910Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.0661920Z 
2025-08-26T19:47:01.0661980Z Save a distributed model in SPMD style.
2025-08-26T19:47:01.0661990Z 
2025-08-26T19:47:01.0662100Z This function is different from ``torch.save()`` as it handles
2025-08-26T19:47:01.0662260Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards.
2025-08-26T19:47:01.0662270Z 
2025-08-26T19:47:01.0662430Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-08-26T19:47:01.0662570Z save will call ``state_dict`` before serialization.
2025-08-26T19:47:01.0662570Z 
2025-08-26T19:47:01.0662620Z .. warning::
2025-08-26T19:47:01.0662780Z     There is no guarantees of Backwards Compatibility across PyTorch versions
2025-08-26T19:47:01.0662860Z     for saved state_dicts.
2025-08-26T19:47:01.0662860Z 
2025-08-26T19:47:01.0662910Z .. warning::
2025-08-26T19:47:01.0663040Z     If using the `process_group` argument, make sure that only its ranks
2025-08-26T19:47:01.0663170Z     call `save_state_dict` and that all data in state_dict belong to it.
2025-08-26T19:47:01.0663170Z 
2025-08-26T19:47:01.0663210Z .. note::
2025-08-26T19:47:01.0663380Z     When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of
2025-08-26T19:47:01.0663540Z     the shard_group should be calling `save_state_dict` and the corresponding process
2025-08-26T19:47:01.0663600Z     group needs to be passed in.
2025-08-26T19:47:01.0663610Z 
2025-08-26T19:47:01.0663650Z .. note::
2025-08-26T19:47:01.0663820Z     If no process group is available, this function assumes the intention is to save the
2025-08-26T19:47:01.0663880Z      state_dict in the local process.
2025-08-26T19:47:01.0663890Z 
2025-08-26T19:47:01.0663930Z .. note:
2025-08-26T19:47:01.0664020Z     Rank 0 is assumed to be the coordinator rank.
2025-08-26T19:47:01.0664080Z 
2025-08-26T19:47:01.0664080Z 
2025-08-26T19:47:01.0664120Z Args:
2025-08-26T19:47:01.0664230Z     state_dict (Dict[str, Any]): The state_dict to save.
2025-08-26T19:47:01.0664320Z     checkpoint_id (Union[str, os.PathLike, None]):
2025-08-26T19:47:01.0664460Z         The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-08-26T19:47:01.0664580Z         depends on the storage. It can be a path to a folder or to a file.
2025-08-26T19:47:01.0664690Z         It can also be a key if the storage is a key-value store.
2025-08-26T19:47:01.0664740Z         (Default: ``None``)
2025-08-26T19:47:01.0664820Z     storage_writer (Optional[StorageWriter]):
2025-08-26T19:47:01.0664950Z         Instance of StorageWriter used to perform writes. If this is not
2025-08-26T19:47:01.0665080Z         specified, DCP will automatically infer the writer based on the
2025-08-26T19:47:01.0665210Z         checkpoint_id. If checkpoint_id is also None, an exception will
2025-08-26T19:47:01.0665280Z         be raised. (Default: ``None``)
2025-08-26T19:47:01.0665350Z     planner (Optional[SavePlanner]):
2025-08-26T19:47:01.0665480Z         Instance of SavePlanner. If this is not specified, the default
2025-08-26T19:47:01.0665550Z         planner will be used. (Default: ``None``)
2025-08-26T19:47:01.0665630Z     process_group (Optional[ProcessGroup]):
2025-08-26T19:47:01.0665750Z         ProcessGroup to be used for cross-rank synchronization.
2025-08-26T19:47:01.0665800Z         (Default: ``None``)
2025-08-26T19:47:01.0665850Z     no_dist (bool):
2025-08-26T19:47:01.0672560Z         If ``True``, this function will assume the intent is to load
2025-08-26T19:47:01.0672670Z         a checkpoint on a single rank/process.
2025-08-26T19:47:01.0672730Z         (Default: ``False``)
2025-08-26T19:47:01.0672900Z     use_collectives (bool): If ``False``, this function will assume the intent is to save
2025-08-26T19:47:01.0673010Z         a checkpoint without using cross-rank synchronization.
2025-08-26T19:47:01.0673070Z         (Default: ``True``)
2025-08-26T19:47:01.0673210Z         This configuration is experimental and should be used with caution.
2025-08-26T19:47:01.0673380Z         It will change the format of the saved checkpoint and may not be backward compatible.
2025-08-26T19:47:01.0673380Z 
2025-08-26T19:47:01.0673430Z Returns:
2025-08-26T19:47:01.0673530Z     Metadata: Metadata object for the saved checkpoint.
2025-08-26T19:47:01.0673530Z 
2025-08-26T19:47:01.0673570Z Example:
2025-08-26T19:47:01.0673630Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:01.0673680Z     >>> my_model = MyModule()
2025-08-26T19:47:01.0673690Z 
2025-08-26T19:47:01.0673750Z     >>> state_dict = {"model": my_model}
2025-08-26T19:47:01.0673830Z 
2025-08-26T19:47:01.0673980Z     >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-08-26T19:47:01.0674030Z     ...     "/checkpoint/1"
2025-08-26T19:47:01.0674100Z     ... )
2025-08-26T19:47:01.0674180Z     >>> torch.distributed.checkpoint.save(
2025-08-26T19:47:01.0674250Z     >>>     state_dict=state_dict,
2025-08-26T19:47:01.0674320Z     >>>     storage_writer=fs_storage_writer,
2025-08-26T19:47:01.0674360Z     >>> )
2025-08-26T19:47:01.0674360Z 
2025-08-26T19:47:01.0674410Z .. note::
2025-08-26T19:47:01.0674540Z     save_state_dict uses collectives to coordinate writes across ranks.
2025-08-26T19:47:01.0674680Z     For NCCL-based process groups, internal tensor representations of
2025-08-26T19:47:01.0674820Z     objects must be moved to the GPU device before communication takes place.
2025-08-26T19:47:01.0674960Z     In this case, the device used is given by ``torch.cuda.current_device()``
2025-08-26T19:47:01.0675090Z     and it is the user's responsibility to ensure that this is set so that
2025-08-26T19:47:01.0675210Z     each rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-08-26T19:47:01.0675210Z 
2025-08-26T19:47:01.0675370Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.0868150Z 
2025-08-26T19:47:01.0868800Z msg = Cannot scrape callname=async_save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=230.
2025-08-26T19:47:01.0869010Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.0869180Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the
2025-08-26T19:47:01.0869360Z     staging storage (defaults to CPU memory), and then calls the `save` in a separate thread.
2025-08-26T19:47:01.0869360Z 
2025-08-26T19:47:01.0869420Z     .. warning::
2025-08-26T19:47:01.0869520Z         This feature is experimental and subject to change.
2025-08-26T19:47:01.0869620Z         MUST CALL CLOSE AFTER LAST CHECKPOINT IS SAVED
2025-08-26T19:47:01.0869620Z 
2025-08-26T19:47:01.0869670Z     Args:
2025-08-26T19:47:01.0869770Z         state_dict (Dict[str, Any]): The state_dict to save.
2025-08-26T19:47:01.0869860Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-08-26T19:47:01.0870010Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-08-26T19:47:01.0870140Z             depends on the storage. It can be a path to a folder or to a file.
2025-08-26T19:47:01.0870250Z             It can also be a key if the storage is a key-value store.
2025-08-26T19:47:01.0870310Z             (Default: ``None``)
2025-08-26T19:47:01.0870390Z         storage_writer (Optional[StorageWriter]):
2025-08-26T19:47:01.0870520Z             Instance of StorageWriter used to perform 'stage' and  'save'. If
2025-08-26T19:47:01.0870670Z             this is not specified, DCP will automatically infer the writer based on the
2025-08-26T19:47:01.0870800Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-08-26T19:47:01.0870870Z             be raised. (Default: ``None``)
2025-08-26T19:47:01.0870940Z         planner (Optional[SavePlanner]):
2025-08-26T19:47:01.0871060Z             Instance of SavePlanner. If this is not specified, the default
2025-08-26T19:47:01.0871150Z             planner will be used. (Default: ``None``)
2025-08-26T19:47:01.0871230Z         process_group (Optional[ProcessGroup]):
2025-08-26T19:47:01.0871350Z             ProcessGroup to be used for cross-rank synchronization.
2025-08-26T19:47:01.0871400Z             (Default: ``None``)
2025-08-26T19:47:01.0871500Z         async_checkpointer_type (AsyncCheckpointerType):
2025-08-26T19:47:01.0871610Z             whether to do checkpoint in separate thread or process
2025-08-26T19:47:01.0871700Z             (Default: ``AsyncCheckpointerType.THREAD``)
2025-08-26T19:47:01.0871760Z         async_stager (AsyncStager):
2025-08-26T19:47:01.0872030Z             provides staging implementation. If storage_writer implements AsyncStager
2025-08-26T19:47:01.0872170Z             and async_stager is provided, async_stager will be used for staging
2025-08-26T19:47:01.0872260Z         no_dist (bool):
2025-08-26T19:47:01.0872370Z             If ``True``, this function will assume the intent is to save
2025-08-26T19:47:01.0872450Z             a checkpoint on a single rank/process.
2025-08-26T19:47:01.0872510Z             (Default: ``False``)
2025-08-26T19:47:01.0872700Z         use_collectives: If False, Save the checkpoint without rank coordination. (Default: ``True``)
2025-08-26T19:47:01.0872840Z             This configuration is experimental and should be used with caution.
2025-08-26T19:47:01.0873010Z             It will change the format of the saved checkpoint and may not be backward compatible.
2025-08-26T19:47:01.0873010Z 
2025-08-26T19:47:01.0873060Z     Returns:
2025-08-26T19:47:01.0873190Z         Future: A future holding the resultant Metadata object from `save`.
2025-08-26T19:47:01.0873190Z 
2025-08-26T19:47:01.0873240Z     Example:
2025-08-26T19:47:01.0873300Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:01.0873350Z         >>> my_model = MyModule()
2025-08-26T19:47:01.0873360Z 
2025-08-26T19:47:01.0873420Z         >>> state_dict = {"model": my_model}
2025-08-26T19:47:01.0873510Z 
2025-08-26T19:47:01.0873670Z         >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-08-26T19:47:01.0873720Z         ...     "/checkpoint/1"
2025-08-26T19:47:01.0873770Z         ... )
2025-08-26T19:47:01.0873900Z         >>> checkpoint_future = torch.distributed.checkpoint.async_save(
2025-08-26T19:47:01.0873960Z         >>>     state_dict=state_dict,
2025-08-26T19:47:01.0874040Z         >>>     storage_writer=fs_storage_writer,
2025-08-26T19:47:01.0874080Z         >>> )
2025-08-26T19:47:01.0874120Z         >>>
2025-08-26T19:47:01.0874180Z         >>> # ... do some work ...
2025-08-26T19:47:01.0874220Z         >>>
2025-08-26T19:47:01.0874290Z         >>> checkpoint_future.result()
2025-08-26T19:47:01.0874290Z 
2025-08-26T19:47:01.0874330Z     
2025-08-26T19:47:01.0874480Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.0874490Z 
2025-08-26T19:47:01.0874920Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=69.
2025-08-26T19:47:01.0875080Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.0875080Z 
2025-08-26T19:47:01.0875200Z Load a checkpoint into a distributed state dict in SPMD style.
2025-08-26T19:47:01.0875200Z 
2025-08-26T19:47:01.0875340Z Each rank must have the same keys in their ``state_dict`` provided to this
2025-08-26T19:47:01.0875470Z API. Mismatched keys may result in hangs or errors. If unsure, you can use
2025-08-26T19:47:01.0875610Z the ``utils._assert_same_keys`` API to check (but may incur communication
2025-08-26T19:47:01.0875660Z costs).
2025-08-26T19:47:01.0875660Z 
2025-08-26T19:47:01.0875770Z Each rank will try to read the least amount of data necessary
2025-08-26T19:47:01.0875920Z to fulfill the requested `state_dict`. When loading :class:`ShardedTensor`
2025-08-26T19:47:01.0876070Z or :class:`DTensor` instances, each rank only reads data for their local shards.
2025-08-26T19:47:01.0876070Z 
2025-08-26T19:47:01.0876240Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-08-26T19:47:01.0876390Z load will first call ``state_dict`` before attempting deserialization, followed by
2025-08-26T19:47:01.0876500Z ``load_state_dict`` once the deserialization is complete.
2025-08-26T19:47:01.0876660Z For each non-``Stateful`` object, load will deserialize the object, and then replace
2025-08-26T19:47:01.0876750Z it in the ``state_dict`` with the deserialized object.
2025-08-26T19:47:01.0876750Z 
2025-08-26T19:47:01.0876800Z .. warning::
2025-08-26T19:47:01.0876960Z     All tensors in ``state_dict`` must be allocated on their
2025-08-26T19:47:01.0877060Z     destination device *prior to* calling this function.
2025-08-26T19:47:01.0877060Z 
2025-08-26T19:47:01.0877230Z     All non-tensor data is loaded using `torch.load()` and modified in place
2025-08-26T19:47:01.0877280Z     on state_dict.
2025-08-26T19:47:01.0877290Z 
2025-08-26T19:47:01.0877330Z .. warning::
2025-08-26T19:47:01.0877460Z     Users must call `load_state_dict` on the root module to ensure load
2025-08-26T19:47:01.0877570Z     pos-processing and non-tensor data properly propagates.
2025-08-26T19:47:01.0877570Z 
2025-08-26T19:47:01.0877620Z .. note:
2025-08-26T19:47:01.0877760Z     If no process group is initialized, this function will assume the intent
2025-08-26T19:47:01.0877890Z     is to load a checkpoint into the local process. This can be useful in the
2025-08-26T19:47:01.0878040Z     case of local inference, and when using regular Tensors (as opposed to DTensor
2025-08-26T19:47:01.0878100Z      or ShardedTensor)
2025-08-26T19:47:01.0878100Z 
2025-08-26T19:47:01.0878140Z .. note:
2025-08-26T19:47:01.0878230Z     Rank 0 is assumed to be the coordinator rank.
2025-08-26T19:47:01.0878230Z 
2025-08-26T19:47:01.0878270Z Args:
2025-08-26T19:47:01.0878400Z     state_dict (Dict[str, Any]): The state_dict to load the checkpoint into.
2025-08-26T19:47:01.0878560Z     checkpoint_id (Union[str, os.PathLike, None]):
2025-08-26T19:47:01.0878690Z         The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-08-26T19:47:01.0878810Z         depends on the storage. It can be a path to a folder or to a file.
2025-08-26T19:47:01.0878920Z         It can also be a key if the storage is a key-value store.
2025-08-26T19:47:01.0878970Z         (Default: ``None``)
2025-08-26T19:47:01.0879050Z     storage_reader (Optional[StorageReader]):
2025-08-26T19:47:01.0879170Z         Instance of StorageWriter used to perform reads. If this is not
2025-08-26T19:47:01.0879300Z         specified, DCP will automatically infer the reader based on the
2025-08-26T19:47:01.0879420Z         checkpoint_id. If checkpoint_id is also None, an exception will
2025-08-26T19:47:01.0879490Z         be raised. (Default: ``None``)
2025-08-26T19:47:01.0879560Z     planner (Optional[LoadPlanner]):
2025-08-26T19:47:01.0879680Z         Instance of LoadPlanner. If this is not specified, the default
2025-08-26T19:47:01.0879750Z         planner will be used. (Default: ``None``)
2025-08-26T19:47:01.0879830Z     process_group (Optional[ProcessGroup]):
2025-08-26T19:47:01.0879940Z         ProcessGroup to be used for cross-rank synchronization.
2025-08-26T19:47:01.0879990Z         (Default: ``None``)
2025-08-26T19:47:01.0880120Z     no_dist (bool): If ``True``, this function will assume the intent is to load
2025-08-26T19:47:01.0880280Z         a checkpoint without using cross-rank synchronization. (Default: ``False``)
2025-08-26T19:47:01.0880320Z Returns:
2025-08-26T19:47:01.0880360Z     None.
2025-08-26T19:47:01.0880360Z 
2025-08-26T19:47:01.0880410Z Examples
2025-08-26T19:47:01.0880460Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:01.0880520Z     >>> my_model = MyModule()
2025-08-26T19:47:01.0880600Z     >>> optimizer = Adagrad(my_model.parameters())
2025-08-26T19:47:01.0880680Z     >>> model_state_dict = my_model.state_dict()
2025-08-26T19:47:01.0880820Z     >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader(
2025-08-26T19:47:01.0880880Z     ...     "/checkpoint/1"
2025-08-26T19:47:01.0880920Z     ... )
2025-08-26T19:47:01.0880920Z 
2025-08-26T19:47:01.0881020Z     >>> torch.distributed.checkpoint.load_state_dict(
2025-08-26T19:47:01.0881080Z     >>>     state_dict=model_state_dict,
2025-08-26T19:47:01.0881150Z     >>>     storage_reader=fs_storage_reader,
2025-08-26T19:47:01.0881190Z     >>> )
2025-08-26T19:47:01.0881190Z 
2025-08-26T19:47:01.0881310Z     >>> # module.load_state_dict() function might have customized steps
2025-08-26T19:47:01.0881380Z     >>> # to flush the state_dict, must call it to
2025-08-26T19:47:01.0881490Z     >>> # ensure correct behavior.
2025-08-26T19:47:01.0881570Z     >>> my_model.load_state_dict(model_state_dict)
2025-08-26T19:47:01.0881580Z 
2025-08-26T19:47:01.0881620Z .. note::
2025-08-26T19:47:01.0881800Z     load_state_dict uses collectives to coordinate reads across ranks.
2025-08-26T19:47:01.0881930Z     For NCCL-based process groups, internal tensor representations of
2025-08-26T19:47:01.0882070Z     objects must be moved to the GPU device before communication takes place.
2025-08-26T19:47:01.0882200Z     In this case, the device used is given by ``torch.cuda.current_device()``
2025-08-26T19:47:01.0882350Z     and it is the user's responsibility to ensure that this is set so that each
2025-08-26T19:47:01.0882460Z     rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-08-26T19:47:01.0882460Z 
2025-08-26T19:47:01.0882620Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.0882620Z 
2025-08-26T19:47:01.0883100Z msg = Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/optimizer.py line=221.
2025-08-26T19:47:01.0883260Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.0883260Z 
2025-08-26T19:47:01.0883460Z Load a state_dict in conjunction with FSDP sharded optimizer state.
2025-08-26T19:47:01.0883460Z 
2025-08-26T19:47:01.0883560Z This is the current recommended way to checkpoint FSDP.
2025-08-26T19:47:01.0883610Z >>> # xdoctest: +SKIP
2025-08-26T19:47:01.0883710Z >>> import torch.distributed.checkpoint as dist_cp
2025-08-26T19:47:01.0883750Z >>> # Save
2025-08-26T19:47:01.0883810Z >>> model: torch.nn.Model
2025-08-26T19:47:01.0883870Z >>> optim_params = model.parameters()
2025-08-26T19:47:01.0883960Z >>> optim = torch.optim.SGD(optim_params, lr=0.01)
2025-08-26T19:47:01.0884000Z >>> # Save
2025-08-26T19:47:01.0884130Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT):
2025-08-26T19:47:01.0884180Z >>>     state_dict = {
2025-08-26T19:47:01.0884280Z >>>         "optimizer": FSDP.optim_state_dict(model, optim),
2025-08-26T19:47:01.0884350Z >>>         "model": model.state_dict()
2025-08-26T19:47:01.0884390Z >>>     }
2025-08-26T19:47:01.0884450Z >>>     dist_cp.save_state_dict(
2025-08-26T19:47:01.0884510Z >>>         state_dict=optim_state,
2025-08-26T19:47:01.0884620Z >>>         storage_writer=dist_cp.FileSystemWriter("checkpoint"),
2025-08-26T19:47:01.0884700Z >>>         planner=dist_cp.DefaultSavePlanner(),
2025-08-26T19:47:01.0884740Z >>>     )
2025-08-26T19:47:01.0884780Z >>>
2025-08-26T19:47:01.0884820Z >>> # Load
2025-08-26T19:47:01.0884960Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT):
2025-08-26T19:47:01.0885050Z >>>     model_state_dict = model_tp.state_dict()
2025-08-26T19:47:01.0885090Z >>>     checkpoint = {
2025-08-26T19:47:01.0885150Z >>>         "model": model_state_dict
2025-08-26T19:47:01.0885190Z >>>     }
2025-08-26T19:47:01.0885250Z >>>     dist_cp.load_state_dict(
2025-08-26T19:47:01.0885310Z >>>         state_dict=checkpoint,
2025-08-26T19:47:01.0885430Z >>>         storage_reader=dist_cp.FileSystemReader(checkpoint_file),
2025-08-26T19:47:01.0885510Z >>>         planner=dist_cp.DefaultLoadPlanner(),
2025-08-26T19:47:01.0885550Z >>>     )
2025-08-26T19:47:01.0885640Z >>>     model.load_state_dict(checkpoint["model_state"])
2025-08-26T19:47:01.0885680Z >>>
2025-08-26T19:47:01.0885790Z >>>     optim_state = dist_cp.load_sharded_optimizer_state_dict(
2025-08-26T19:47:01.0885840Z >>>         model_state_dict,
2025-08-26T19:47:01.0885910Z >>>         optimizer_key="optimizer",
2025-08-26T19:47:01.0886020Z >>>         storage_reader=dist_cp.FileSystemReader("checkpoint"),
2025-08-26T19:47:01.0886060Z >>>     )
2025-08-26T19:47:01.0886100Z >>>
2025-08-26T19:47:01.0886190Z >>>     flattened_osd = FSDP.optim_state_dict_to_load(
2025-08-26T19:47:01.0886260Z >>>        model, optim, optim_state["optimizer"]
2025-08-26T19:47:01.0886350Z >>>     )
2025-08-26T19:47:01.0886400Z >>>
2025-08-26T19:47:01.0886470Z >>>     optim.load_state_dict(flattened_osd)
2025-08-26T19:47:01.0886470Z 
2025-08-26T19:47:01.0886620Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.1685220Z 
2025-08-26T19:47:01.1685910Z msg = Cannot scrape callname=_RemoteModule.__init__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=129.
2025-08-26T19:47:01.1686130Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.1686140Z 
2025-08-26T19:47:01.1686290Z RemoteModule instance can only be created after RPC initialization.
2025-08-26T19:47:01.1686290Z 
2025-08-26T19:47:01.1686420Z It creates a user-specified module on a specified remote node.
2025-08-26T19:47:01.1686570Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-08-26T19:47:01.1686650Z executed on the remote node.
2025-08-26T19:47:01.1686800Z It takes care of autograd recording to ensure the backward pass propagates
2025-08-26T19:47:01.1686900Z gradients back to the corresponding remote module.
2025-08-26T19:47:01.1687140Z It can be shared across processors using `RPC framework <https://pytorch.org/docs/stable/rpc.html>`__,
2025-08-26T19:47:01.1687560Z without incurring any overheads of copying the actual module,
2025-08-26T19:47:01.1687700Z which is equivalent to an :class:`~torch.distributed.rpc.RRef`
2025-08-26T19:47:01.1687760Z pointing to the remote module.
2025-08-26T19:47:01.1687760Z 
2025-08-26T19:47:01.1687900Z The arguments of ``forward_async`` and ``forward`` are the same as
2025-08-26T19:47:01.1688040Z the ``forward`` method of the module returned by the ``module_cls``.
2025-08-26T19:47:01.1688040Z 
2025-08-26T19:47:01.1688240Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now.
2025-08-26T19:47:01.1688240Z 
2025-08-26T19:47:01.1688400Z Particularly, to create a hybrid model, typically the local modules should be
2025-08-26T19:47:01.1688640Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``).
2025-08-26T19:47:01.1688690Z Hybrid Example:
2025-08-26T19:47:01.1688770Z         >>> class HybridModel(nn.Module):
2025-08-26T19:47:01.1688840Z         >>>     def __init__(self) -> None:
2025-08-26T19:47:01.1688910Z         >>>         nn.Module.__init__(self)
2025-08-26T19:47:01.1689000Z         >>>         self.remote_embedding = RemoteModule(...)
2025-08-26T19:47:01.1689090Z         >>>         self.local_linear = nn.Linear(...)
2025-08-26T19:47:01.1689090Z 
2025-08-26T19:47:01.1689220Z For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-08-26T19:47:01.1689380Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``,
2025-08-26T19:47:01.1689510Z the generated ``RemoteModule`` will have 2 methods in signature of
2025-08-26T19:47:01.1689600Z ``def forward(input: Tensor) -> Tensor:`` and
2025-08-26T19:47:01.1689700Z ``def forward_async(input: Tensor) -> Future[Tensor]:``.
2025-08-26T19:47:01.1689700Z 
2025-08-26T19:47:01.1689770Z .. note::
2025-08-26T19:47:01.1689860Z     If the remote module is placed on a cuda device,
2025-08-26T19:47:01.1690010Z     any input CPU tensors will be automatically moved to the same cuda device,
2025-08-26T19:47:01.1690260Z     and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend.
2025-08-26T19:47:01.1690270Z 
2025-08-26T19:47:01.1690310Z Args:
2025-08-26T19:47:01.1690510Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-08-26T19:47:01.1690700Z         The device can be a local device or a remote device specified by one of the following remote
2025-08-26T19:47:01.1690750Z         formats:
2025-08-26T19:47:01.1690750Z 
2025-08-26T19:47:01.1690840Z             1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-08-26T19:47:01.1691100Z             2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-08-26T19:47:01.1691110Z 
2025-08-26T19:47:01.1691270Z         In addition, the device field can be optional and the default value is "cpu".
2025-08-26T19:47:01.1691410Z     module_cls (nn.Module): For example,
2025-08-26T19:47:01.1691470Z         >>> class MyModule(nn.Module):
2025-08-26T19:47:01.1691540Z         >>>     def forward(input):
2025-08-26T19:47:01.1691590Z         >>>         return input + 1
2025-08-26T19:47:01.1691640Z         >>>
2025-08-26T19:47:01.1691700Z         >>> module_cls = MyModule
2025-08-26T19:47:01.1691830Z     args (Sequence, optional): args to be passed to ``module_cls``.
2025-08-26T19:47:01.1691960Z     kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-08-26T19:47:01.1692140Z     _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-08-26T19:47:01.1692290Z         to be created. The type object should be decorated by @torch.jit.interface.
2025-08-26T19:47:01.1692440Z         If not provided, the generated RemoteModule is not torchscript-able.
2025-08-26T19:47:01.1692590Z         Warning, this is an experimental API and susceptible to frequent changes.
2025-08-26T19:47:01.1692590Z 
2025-08-26T19:47:01.1692640Z Returns:
2025-08-26T19:47:01.1692890Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-08-26T19:47:01.1693040Z     user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-08-26T19:47:01.1693210Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-08-26T19:47:01.1693300Z     on the user-provided module on the remote side.
2025-08-26T19:47:01.1693300Z 
2025-08-26T19:47:01.1693360Z Example::
2025-08-26T19:47:01.1693450Z     Run the following code in two different processes:
2025-08-26T19:47:01.1693450Z 
2025-08-26T19:47:01.1693520Z     >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:01.1693570Z     >>> # On worker 0:
2025-08-26T19:47:01.1693630Z     >>> import torch
2025-08-26T19:47:01.1693700Z     >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:01.1693780Z     >>> from torch import nn, Tensor
2025-08-26T19:47:01.1693920Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-08-26T19:47:01.1693970Z     >>>
2025-08-26T19:47:01.1694060Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-26T19:47:01.1694130Z     >>> remote_linear_module = RemoteModule(
2025-08-26T19:47:01.1694210Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-08-26T19:47:01.1694250Z     >>> )
2025-08-26T19:47:01.1694320Z     >>> input = torch.randn(128, 20)
2025-08-26T19:47:01.1694410Z     >>> ret_fut = remote_linear_module.forward_async(input)
2025-08-26T19:47:01.1694470Z     >>> ret = ret_fut.wait()
2025-08-26T19:47:01.1694520Z     >>> rpc.shutdown()
2025-08-26T19:47:01.1694520Z 
2025-08-26T19:47:01.1694570Z     >>> # On worker 1:
2025-08-26T19:47:01.1694620Z     >>> import torch
2025-08-26T19:47:01.1694700Z     >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:01.1694740Z     >>>
2025-08-26T19:47:01.1694830Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-26T19:47:01.1694880Z     >>> rpc.shutdown()
2025-08-26T19:47:01.1694890Z 
2025-08-26T19:47:01.1695050Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.1695050Z 
2025-08-26T19:47:01.1695550Z msg = Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=506.
2025-08-26T19:47:01.1695720Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.1695720Z 
2025-08-26T19:47:01.1695920Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef.
2025-08-26T19:47:01.1695920Z 
2025-08-26T19:47:01.1696160Z This alternate initialization method can be particularly useful if we want to create multiple
2025-08-26T19:47:01.1696360Z RemoteModule instances that share the same underlying module and reduce memory consumption.
2025-08-26T19:47:01.1696360Z 
2025-08-26T19:47:01.1696560Z Moreover, this also provides a workaround for passing script RemoteModule over RPC,
2025-08-26T19:47:01.1696670Z which is not supported. The recommended way is as follows:
2025-08-26T19:47:01.1696680Z 
2025-08-26T19:47:01.1696750Z     1. the sender creates a RemoteModule;
2025-08-26T19:47:01.1696830Z     2. the sender sends its ``module_rref`` over RPC;
2025-08-26T19:47:01.1697030Z     3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``.
2025-08-26T19:47:01.1697040Z 
2025-08-26T19:47:01.1697080Z Example::
2025-08-26T19:47:01.1697180Z     Run the following code in two different processes:
2025-08-26T19:47:01.1697180Z 
2025-08-26T19:47:01.1697240Z     >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:01.1697290Z     >>> # On worker 0:
2025-08-26T19:47:01.1697340Z     >>> import torch
2025-08-26T19:47:01.1697410Z     >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:01.1697470Z     >>> from torch import nn, Tensor
2025-08-26T19:47:01.1697600Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-08-26T19:47:01.1697650Z     >>>
2025-08-26T19:47:01.1697800Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-26T19:47:01.1697870Z     >>> remote_module = RemoteModule(
2025-08-26T19:47:01.1697950Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-08-26T19:47:01.1697990Z     >>> )
2025-08-26T19:47:01.1698040Z     >>>
2025-08-26T19:47:01.1698100Z     >>> remote_module1 = rpc.rpc_sync(
2025-08-26T19:47:01.1698150Z     >>>     "worker1/cpu",
2025-08-26T19:47:01.1698230Z     >>>     RemoteModule.init_from_module_rref,
2025-08-26T19:47:01.1698320Z     >>>     ("worker1/cpu", remote_module1.get_module_rref()),
2025-08-26T19:47:01.1698360Z     >>> )
2025-08-26T19:47:01.1698410Z     >>> rpc.shutdown()
2025-08-26T19:47:01.1698410Z 
2025-08-26T19:47:01.1698460Z     >>> # On worker 1:
2025-08-26T19:47:01.1698510Z     >>> import torch
2025-08-26T19:47:01.1698580Z     >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:01.1698620Z     >>>
2025-08-26T19:47:01.1698700Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-26T19:47:01.1698750Z     >>> rpc.shutdown()
2025-08-26T19:47:01.1698760Z 
2025-08-26T19:47:01.1698800Z Args:
2025-08-26T19:47:01.1698980Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-08-26T19:47:01.1699160Z         The device can be a local device or a remote device specified by one of the following remote
2025-08-26T19:47:01.1699210Z         formats:
2025-08-26T19:47:01.1699210Z 
2025-08-26T19:47:01.1699300Z             1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-08-26T19:47:01.1699400Z             2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-08-26T19:47:01.1699400Z 
2025-08-26T19:47:01.1699550Z         In addition, the device field can be optional and the default value is "cpu".
2025-08-26T19:47:01.1699700Z     module_rref (RRef[nn.Module]): The module reference shared by both the caller and
2025-08-26T19:47:01.1699760Z         the created remote module.
2025-08-26T19:47:01.1699930Z     _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-08-26T19:47:01.1700090Z         to be created. The type object should be decorated by @torch.jit.interface.
2025-08-26T19:47:01.1700240Z         If not provided, the generated RemoteModule is not torchscript-able.
2025-08-26T19:47:01.1700390Z         Warning, this is an experimental API and susceptible to frequent changes.
2025-08-26T19:47:01.1700390Z 
2025-08-26T19:47:01.1700440Z Returns:
2025-08-26T19:47:01.1700620Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-08-26T19:47:01.1700780Z     user-provided ``module_rref``, it has a blocking ``forward`` method and an
2025-08-26T19:47:01.1701000Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-08-26T19:47:01.1701200Z     on the user-provided module on the remote side.
2025-08-26T19:47:01.1701200Z 
2025-08-26T19:47:01.1701360Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.1701390Z 
2025-08-26T19:47:01.1701850Z msg = Cannot scrape callname=RemoteModule in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=598.
2025-08-26T19:47:01.1702020Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.1702020Z 
2025-08-26T19:47:01.1702170Z     A RemoteModule instance can only be created after RPC initialization.
2025-08-26T19:47:01.1702170Z 
2025-08-26T19:47:01.1702300Z     It creates a user-specified module on a specified remote node.
2025-08-26T19:47:01.1702460Z     It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-08-26T19:47:01.1702540Z     executed on the remote node.
2025-08-26T19:47:01.1702710Z     It takes care of autograd recording to ensure the backward pass propagates
2025-08-26T19:47:01.1702810Z     gradients back to the corresponding remote module.
2025-08-26T19:47:01.1702810Z 
2025-08-26T19:47:01.1702950Z     It generates two methods ``forward_async`` and ``forward`` based on the
2025-08-26T19:47:01.1703160Z     signature of the ``forward`` method of ``module_cls``. ``forward_async``
2025-08-26T19:47:01.1703310Z     runs asynchronously and returns a Future. The arguments of ``forward_async``
2025-08-26T19:47:01.1703440Z     and ``forward`` are the same as the ``forward`` method of the module
2025-08-26T19:47:01.1703500Z     returned by the ``module_cls``.
2025-08-26T19:47:01.1703500Z 
2025-08-26T19:47:01.1703630Z     For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-08-26T19:47:01.1703790Z     that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``,
2025-08-26T19:47:01.1703930Z     the generated ``RemoteModule`` will have 2 methods with the signatures:
2025-08-26T19:47:01.1703940Z 
2025-08-26T19:47:01.1704020Z     | ``def forward(input: Tensor) -> Tensor:``
2025-08-26T19:47:01.1704130Z     | ``def forward_async(input: Tensor) -> Future[Tensor]:``
2025-08-26T19:47:01.1704130Z 
2025-08-26T19:47:01.1704180Z Args:
2025-08-26T19:47:01.1704370Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-08-26T19:47:01.1704590Z         The format should be "<workername>/<device>", where the device field can be parsed as torch.device type.
2025-08-26T19:47:01.1704680Z         E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0".
2025-08-26T19:47:01.1704830Z         In addition, the device field can be optional and the default value is "cpu".
2025-08-26T19:47:01.1704990Z     module_cls (nn.Module): Class for the module to be created remotely. For example,
2025-08-26T19:47:01.1704990Z 
2025-08-26T19:47:01.1705050Z         >>> class MyModule(nn.Module):
2025-08-26T19:47:01.1705110Z         >>>     def forward(input):
2025-08-26T19:47:01.1705180Z         >>>         return input + 1
2025-08-26T19:47:01.1705220Z         >>>
2025-08-26T19:47:01.1705280Z         >>> module_cls = MyModule
2025-08-26T19:47:01.1705290Z 
2025-08-26T19:47:01.1705410Z     args (Sequence, optional): args to be passed to ``module_cls``.
2025-08-26T19:47:01.1705540Z     kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-08-26T19:47:01.1705540Z 
2025-08-26T19:47:01.1705580Z Returns:
2025-08-26T19:47:01.1705740Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-08-26T19:47:01.1705880Z     user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-08-26T19:47:01.1706050Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-08-26T19:47:01.1706140Z     on the user-provided module on the remote side.
2025-08-26T19:47:01.1706140Z 
2025-08-26T19:47:01.1706200Z Example::
2025-08-26T19:47:01.1706330Z     Run the following code in two different processes:
2025-08-26T19:47:01.1706330Z 
2025-08-26T19:47:01.1706410Z     >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:01.1706450Z     >>> # On worker 0:
2025-08-26T19:47:01.1706520Z     >>> import torch
2025-08-26T19:47:01.1706600Z     >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:01.1706670Z     >>> from torch import nn, Tensor
2025-08-26T19:47:01.1706800Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-08-26T19:47:01.1706840Z     >>>
2025-08-26T19:47:01.1706930Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-26T19:47:01.1707000Z     >>> remote_linear_module = RemoteModule(
2025-08-26T19:47:01.1707080Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-08-26T19:47:01.1707120Z     >>> )
2025-08-26T19:47:01.1707180Z     >>> input = torch.randn(128, 20)
2025-08-26T19:47:01.1707270Z     >>> ret_fut = remote_linear_module.forward_async(input)
2025-08-26T19:47:01.1707340Z     >>> ret = ret_fut.wait()
2025-08-26T19:47:01.1707390Z     >>> rpc.shutdown()
2025-08-26T19:47:01.1707390Z 
2025-08-26T19:47:01.1707440Z     >>> # On worker 1:
2025-08-26T19:47:01.1707480Z     >>> import torch
2025-08-26T19:47:01.1707560Z     >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:01.1707600Z     >>>
2025-08-26T19:47:01.1707740Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-26T19:47:01.1707790Z     >>> rpc.shutdown()
2025-08-26T19:47:01.1707790Z 
2025-08-26T19:47:01.1707910Z     Furthermore, a more practical example that is combined with
2025-08-26T19:47:01.1708190Z     `DistributedDataParallel <https://pytorch.org/docs/stable/nn.html#torch.nn.parallel.DistributedDataParallel>`__ (DDP)
2025-08-26T19:47:01.1708400Z     can be found in this `tutorial <https://pytorch.org/tutorials/advanced/rpc_ddp_tutorial.html>`__.
2025-08-26T19:47:01.1708400Z 
2025-08-26T19:47:01.1708560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.1872200Z 
2025-08-26T19:47:01.1872910Z msg = Cannot scrape callname=construct_and_record_rdzv_event in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/elastic/events/__init__.py line=94.
2025-08-26T19:47:01.1873100Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.1873110Z 
2025-08-26T19:47:01.1873240Z Initialize rendezvous event object and record its operations.
2025-08-26T19:47:01.1873240Z 
2025-08-26T19:47:01.1873290Z Args:
2025-08-26T19:47:01.1873370Z     run_id (str): The run id of the rendezvous.
2025-08-26T19:47:01.1873460Z     message (str): The message describing the event.
2025-08-26T19:47:01.1873630Z     node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED).
2025-08-26T19:47:01.1873760Z     name (str): Event name. (E.g. Current action being performed).
2025-08-26T19:47:01.1873830Z     hostname (str): Hostname of the node.
2025-08-26T19:47:01.1873930Z     pid (Optional[int]): The process id of the node.
2025-08-26T19:47:01.1874090Z     master_endpoint (str): The master endpoint for the rendezvous store, if known.
2025-08-26T19:47:01.1874260Z     local_id (Optional[int]):  The local_id of the node, if defined in dynamic_rendezvous.py
2025-08-26T19:47:01.1874360Z     rank (Optional[int]): The rank of the node, if known.
2025-08-26T19:47:01.1874410Z Returns:
2025-08-26T19:47:01.1874460Z     None
2025-08-26T19:47:01.1874500Z Example:
2025-08-26T19:47:01.1874620Z     >>> # See DynamicRendezvousHandler class
2025-08-26T19:47:01.1874670Z     >>> def _record(
2025-08-26T19:47:01.1874720Z     ...     self,
2025-08-26T19:47:01.1874770Z     ...     message: str,
2025-08-26T19:47:01.1874860Z     ...     node_state: NodeState = NodeState.RUNNING,
2025-08-26T19:47:01.1874930Z     ...     rank: Optional[int] = None,
2025-08-26T19:47:01.1874980Z     ... ) -> None:
2025-08-26T19:47:01.1875050Z     ...     construct_and_record_rdzv_event(
2025-08-26T19:47:01.1875410Z     ...         name=f"{self.__class__.__name__}.{get_method_name()}",
2025-08-26T19:47:01.1875490Z     ...         run_id=self._settings.run_id,
2025-08-26T19:47:01.1875550Z     ...         message=message,
2025-08-26T19:47:01.1875610Z     ...         node_state=node_state,
2025-08-26T19:47:01.1875770Z     ...         hostname=self._this_node.addr,
2025-08-26T19:47:01.1875830Z     ...         pid=self._this_node.pid,
2025-08-26T19:47:01.1875910Z     ...         local_id=self._this_node.local_id,
2025-08-26T19:47:01.1875960Z     ...         rank=rank,
2025-08-26T19:47:01.1876010Z     ...     )
2025-08-26T19:47:01.1876010Z 
2025-08-26T19:47:01.1876180Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.1876180Z 
2025-08-26T19:47:01.1876640Z msg = Cannot scrape callname=_CustomReducer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py line=29.
2025-08-26T19:47:01.1876800Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.1876810Z 
2025-08-26T19:47:01.1876960Z Custom reducer class that can be used to specify a custom operation that
2025-08-26T19:47:01.1877070Z reduces losses of multiple microbatches into one value.
2025-08-26T19:47:01.1877070Z 
2025-08-26T19:47:01.1877120Z Example:
2025-08-26T19:47:01.1877350Z >>> # xdoctest: +SKIP
2025-08-26T19:47:01.1877410Z >>> sum_reducer = _CustomReducer(
2025-08-26T19:47:01.1877480Z >>>     torch.tensor(0.0),
2025-08-26T19:47:01.1877530Z >>>     lambda a, b: a + b
2025-08-26T19:47:01.1877580Z >>> )
2025-08-26T19:47:01.1877580Z 
2025-08-26T19:47:01.1877740Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.1877750Z 
2025-08-26T19:47:01.1878270Z msg = Cannot scrape callname=PeriodicModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38.
2025-08-26T19:47:01.1878430Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.1878430Z 
2025-08-26T19:47:01.1878550Z Averages parameters periodically after the warm-up stage.
2025-08-26T19:47:01.1878550Z 
2025-08-26T19:47:01.1878720Z This can be used for running `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-08-26T19:47:01.1878850Z by running :class:`~torch.nn.DistributedDataParallel` (DDP)
2025-08-26T19:47:01.1879000Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`.
2025-08-26T19:47:01.1879000Z 
2025-08-26T19:47:01.1879050Z Args:
2025-08-26T19:47:01.1879150Z     period (int): The number of steps per model averaging.
2025-08-26T19:47:01.1879330Z                   Usually the period should be greater than ``1`` to reduce the communication cost.
2025-08-26T19:47:01.1879420Z                   Otherwise, only DDP needs to be used.
2025-08-26T19:47:01.1879550Z     warmup_steps (int): The number of warm-up steps. During this stage,
2025-08-26T19:47:01.1879630Z                         model averaging is skipped.
2025-08-26T19:47:01.1879760Z     process_group: The process group to be used for all-reduce.
2025-08-26T19:47:01.1879850Z                    If ``None``, the default process group, which
2025-08-26T19:47:01.1879970Z                    is created by :func:`torch.distributed.init_process_group`,
2025-08-26T19:47:01.1880060Z                    will be used. (default: ``None``)
2025-08-26T19:47:01.1880060Z 
2025-08-26T19:47:01.1880130Z Example::
2025-08-26T19:47:01.1880130Z 
2025-08-26T19:47:01.1880210Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:01.1887810Z     >>> import torch
2025-08-26T19:47:01.1887910Z     >>> import torch.distributed as dist
2025-08-26T19:47:01.1888110Z     >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD
2025-08-26T19:47:01.1888280Z     >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-08-26T19:47:01.1888350Z     >>> import torch.nn as nn
2025-08-26T19:47:01.1888490Z     >>>
2025-08-26T19:47:01.1888610Z     >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-08-26T19:47:01.1888670Z     >>> torch.cuda.set_device(rank)
2025-08-26T19:47:01.1888790Z     >>> module = nn.Linear(1, 1, bias=False).cuda()
2025-08-26T19:47:01.1888890Z     >>> model = nn.parallel.DistributedDataParallel(
2025-08-26T19:47:01.1888980Z     >>>    module, device_ids=[rank], output_device=rank
2025-08-26T19:47:01.1889030Z     >>> )
2025-08-26T19:47:01.1889120Z     >>> # Register a post-localSGD communication hook.
2025-08-26T19:47:01.1889310Z     >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-08-26T19:47:01.1889410Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-08-26T19:47:01.1889450Z     >>>
2025-08-26T19:47:01.1889610Z     >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-08-26T19:47:01.1889710Z     >>> # After 100 steps, run model averaging every 4 steps.
2025-08-26T19:47:01.1889910Z     >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-08-26T19:47:01.1890070Z     >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-08-26T19:47:01.1890130Z     >>> for step in range(0, 200):
2025-08-26T19:47:01.1890290Z     >>>    optimizer.zero_grad()
2025-08-26T19:47:01.1890360Z     >>>    loss = loss_fn(output, labels)
2025-08-26T19:47:01.1890410Z     >>>    loss.backward()
2025-08-26T19:47:01.1890470Z     >>>    optimizer.step()
2025-08-26T19:47:01.1890590Z     >>>    # Will average model parameters globally every 4 steps. Thus,
2025-08-26T19:47:01.1890710Z     >>>    # inter-node communication only occurs every 4 iterations after
2025-08-26T19:47:01.1890790Z     >>>    # the initial ``warmup_steps`` period.
2025-08-26T19:47:01.1890880Z     >>>    averager.average_parameters(model.parameters())
2025-08-26T19:47:01.1890890Z 
2025-08-26T19:47:01.1891040Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.1891040Z 
2025-08-26T19:47:01.1891610Z msg = Cannot scrape callname=HierarchicalModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19.
2025-08-26T19:47:01.1891770Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.1891770Z 
2025-08-26T19:47:01.1891980Z Runs hierarchical model averaging (`hierarchical SGD <https://arxiv.org/pdf/2010.12998.pdf>`_).
2025-08-26T19:47:01.1891980Z 
2025-08-26T19:47:01.1892170Z Process groups of different sizes are organized in a hierarchy, and they average parameters
2025-08-26T19:47:01.1892300Z by using different periods concurrently after the warm-up stage.
2025-08-26T19:47:01.1892540Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`
2025-08-26T19:47:01.1892750Z that supports `post-local SGD <https://arxiv.org/abs/1808.07217>`_, which essentially only supports
2025-08-26T19:47:01.1892940Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine
2025-08-26T19:47:01.1893150Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`.
2025-08-26T19:47:01.1893330Z Similarly, the process groups within this class do not have such an intra-machine process
2025-08-26T19:47:01.1893500Z subgroup, which should be embedded by the post-local SGD communication hook instead.
2025-08-26T19:47:01.1893500Z 
2025-08-26T19:47:01.1893540Z Args:
2025-08-26T19:47:01.1893700Z     period_group_size_dict: An ordered dict mapping keys of model averaging period to
2025-08-26T19:47:01.1893830Z                             process group size, used for initializing process groups of
2025-08-26T19:47:01.1893970Z                             different sizes in a hierarchy to average parameters concurrently.
2025-08-26T19:47:01.1894170Z                             Particularly, at each iteration, there will be at most a single
2025-08-26T19:47:01.1894320Z                             process group that runs averaging -- the period of such group should
2025-08-26T19:47:01.1894480Z                             have the largest period which the current step can be divided by.
2025-08-26T19:47:01.1894590Z                             For example, if the dict has three keys: 2, 4, and 8,
2025-08-26T19:47:01.1894720Z                             then this means totally three process groups will be created to
2025-08-26T19:47:01.1894850Z                             average parameters every 2, 4, and 8 iterations, respectively.
2025-08-26T19:47:01.1894970Z                             At the 4th iteration, only the second process group will run
2025-08-26T19:47:01.1895080Z                             averaging, because the first process group should be a
2025-08-26T19:47:01.1895220Z                             subset of the second process group, and no need to execute the first
2025-08-26T19:47:01.1895300Z                             process group redundantly.
2025-08-26T19:47:01.1895420Z                             On the other hand, the third process group can only be triggered
2025-08-26T19:47:01.1895560Z                             every 8 iterations, so it will not be triggered at the 4th iteration.
2025-08-26T19:47:01.1895830Z     warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped.
2025-08-26T19:47:01.1896100Z     process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging.
2025-08-26T19:47:01.1896210Z                                             If ``None``, the default process group, which is created
2025-08-26T19:47:01.1896340Z                                             by :func:`torch.distributed.init_process_group`, will be used.
2025-08-26T19:47:01.1896420Z                                             (default: ``None``)
2025-08-26T19:47:01.1896430Z 
2025-08-26T19:47:01.1896480Z Example::
2025-08-26T19:47:01.1896550Z     >>> # xdoctest: +SKIP('undefined rank')
2025-08-26T19:47:01.1896620Z     >>> from collections import OrderedDict
2025-08-26T19:47:01.1896660Z     >>> import torch
2025-08-26T19:47:01.1896730Z     >>> import torch.distributed as dist
2025-08-26T19:47:01.1896900Z     >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-08-26T19:47:01.1896960Z     >>>     PostLocalSGDState,
2025-08-26T19:47:01.1897020Z     >>>     post_localSGD_hook,
2025-08-26T19:47:01.1897060Z     >>> )
2025-08-26T19:47:01.1897280Z     >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD
2025-08-26T19:47:01.1897340Z     >>> import torch.nn as nn
2025-08-26T19:47:01.1897380Z     >>>
2025-08-26T19:47:01.1897490Z     >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-08-26T19:47:01.1897560Z     >>> torch.cuda.set_device(rank)
2025-08-26T19:47:01.1897640Z     >>> module = nn.Linear(1, 1, bias=False).to(rank)
2025-08-26T19:47:01.1897740Z     >>> model = nn.parallel.DistributedDataParallel(
2025-08-26T19:47:01.1897820Z     >>>    module, device_ids=[rank], output_device=rank
2025-08-26T19:47:01.1897870Z     >>> )
2025-08-26T19:47:01.1897950Z     >>> # Register a post-localSGD communication hook.
2025-08-26T19:47:01.1898120Z     >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4.
2025-08-26T19:47:01.1898190Z     >>> subgroup, _ = dist.new_subgroups()
2025-08-26T19:47:01.1898380Z     >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100)
2025-08-26T19:47:01.1898470Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-08-26T19:47:01.1898520Z     >>>
2025-08-26T19:47:01.1898690Z     >>> # Average parameters among each group of 8 processes every 4 iterations, and among all
2025-08-26T19:47:01.1898760Z     >>> # the 16 processes every 16 iterations.
2025-08-26T19:47:01.1898920Z     >>> averager = hierarchicalSGD.HierarchicalModelAverager(
2025-08-26T19:47:01.1899060Z     >>>     period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100)
2025-08-26T19:47:01.1899260Z     >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-08-26T19:47:01.1899440Z     >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-08-26T19:47:01.1899540Z     >>> # After 100 steps, run model averaging at two levels.
2025-08-26T19:47:01.1899600Z     >>> for step in range(0, 200):
2025-08-26T19:47:01.1899660Z     >>>    optimizer.zero_grad()
2025-08-26T19:47:01.1899720Z     >>>    loss = loss_fn(output, labels)
2025-08-26T19:47:01.1899780Z     >>>    loss.backward()
2025-08-26T19:47:01.1899830Z     >>>    optimizer.step()
2025-08-26T19:47:01.1899920Z     >>>    # Average parameters after ``optimizer.step()``.
2025-08-26T19:47:01.1900100Z     >>>    # Thus, the inter-node communication only occurs periodically after ``warmup_steps``.
2025-08-26T19:47:01.1900190Z     >>>    averager.average_parameters(model.parameters())
2025-08-26T19:47:01.1900200Z 
2025-08-26T19:47:01.1900250Z .. warning ::
2025-08-26T19:47:01.1900400Z     The last group size in the dict must be the size of the provided ``process_group``,
2025-08-26T19:47:01.1900610Z     which indicates model averaging at the highest level of the hierarchy.
2025-08-26T19:47:01.1900790Z     If ``process_group`` is not provided, then the last group size should be equal to the world size.
2025-08-26T19:47:01.1900790Z 
2025-08-26T19:47:01.1900840Z .. warning ::
2025-08-26T19:47:01.1900980Z     `HierarchicalModelAverager` is experimental and subject to change.
2025-08-26T19:47:01.1900980Z 
2025-08-26T19:47:01.1901140Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.2370740Z 
2025-08-26T19:47:01.2372910Z msg = Cannot scrape callname=post_localSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72.
2025-08-26T19:47:01.2373440Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.2373550Z 
2025-08-26T19:47:01.2373750Z Run post-localSGD algorithm.
2025-08-26T19:47:01.2373760Z 
2025-08-26T19:47:01.2374160Z This DDP communication hook is used for running post-localSGD algorithm,
2025-08-26T19:47:01.2374440Z by combining with a model averaging component (e.g.,
2025-08-26T19:47:01.2374980Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`)
2025-08-26T19:47:01.2375180Z that runs after the optimizer step.
2025-08-26T19:47:01.2375180Z 
2025-08-26T19:47:01.2375320Z Args:
2025-08-26T19:47:01.2375700Z     state (PostLocalSGDState): State information to run post-localSGD.
2025-08-26T19:47:01.2376210Z         Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD.
2025-08-26T19:47:01.2376530Z     bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-08-26T19:47:01.2376710Z         Note that since DDP comm hook only supports single process single device mode,
2025-08-26T19:47:01.2376820Z         only exactly one tensor is stored in this bucket.
2025-08-26T19:47:01.2376830Z 
2025-08-26T19:47:01.2376880Z Returns:
2025-08-26T19:47:01.2377030Z     Future handler of the communication, which updates the gradients in place.
2025-08-26T19:47:01.2377040Z 
2025-08-26T19:47:01.2377100Z Example::
2025-08-26T19:47:01.2377150Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:01.2377310Z     >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup,
2025-08-26T19:47:01.2377390Z                               start_localSGD_iter=10)
2025-08-26T19:47:01.2377510Z     >>> ddp_model.register_comm_hook(state, post_localSGD_hook)
2025-08-26T19:47:01.2377720Z     >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``.
2025-08-26T19:47:01.2378310Z     >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module.
2025-08-26T19:47:01.2378310Z 
2025-08-26T19:47:01.2378530Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.2378530Z 
2025-08-26T19:47:01.2379030Z msg = Cannot scrape callname=powerSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342.
2025-08-26T19:47:01.2379190Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.2379200Z 
2025-08-26T19:47:01.2379260Z Implement PowerSGD algorithm.
2025-08-26T19:47:01.2379270Z 
2025-08-26T19:47:01.2379410Z This DDP communication hook implements PowerSGD gradient compression
2025-08-26T19:47:01.2379560Z algorithm described in the `paper <https://arxiv.org/abs/1905.13727>`_.
2025-08-26T19:47:01.2379720Z Once gradient tensors are aggregated across all workers, this hook applies
2025-08-26T19:47:01.2379780Z compression as follows:
2025-08-26T19:47:01.2379780Z 
2025-08-26T19:47:01.2380050Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups:
2025-08-26T19:47:01.2380160Z 
2025-08-26T19:47:01.2380420Z     1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth.
2025-08-26T19:47:01.2380420Z 
2025-08-26T19:47:01.2380670Z     1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases).
2025-08-26T19:47:01.2380670Z 
2025-08-26T19:47:01.2380730Z 2. Handles uncompressed tensors:
2025-08-26T19:47:01.2380730Z 
2025-08-26T19:47:01.2381040Z     2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression;
2025-08-26T19:47:01.2381040Z 
2025-08-26T19:47:01.2381250Z     2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor.
2025-08-26T19:47:01.2381250Z 
2025-08-26T19:47:01.2381400Z 3. Handles the tensors that should be compressed by PowerSGD compression:
2025-08-26T19:47:01.2381410Z 
2025-08-26T19:47:01.2381560Z     3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M,
2025-08-26T19:47:01.2381760Z     such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized;
2025-08-26T19:47:01.2381760Z 
2025-08-26T19:47:01.2381850Z     3.2. Computes each P in Ps, which is equal to MQ;
2025-08-26T19:47:01.2381860Z 
2025-08-26T19:47:01.2381930Z     3.3. Allreduces Ps as a batch;
2025-08-26T19:47:01.2381930Z 
2025-08-26T19:47:01.2381990Z     3.4. Orthogonalizes each P in Ps;
2025-08-26T19:47:01.2382000Z 
2025-08-26T19:47:01.2382120Z     3.5. Computes each Q in Qs, which is approximately equal to M^TP;
2025-08-26T19:47:01.2382120Z 
2025-08-26T19:47:01.2382180Z     3.6. Allreduces Qs as a batch;
2025-08-26T19:47:01.2382190Z 
2025-08-26T19:47:01.2382370Z     3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T.
2025-08-26T19:47:01.2382370Z 
2025-08-26T19:47:01.2382620Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations.
2025-08-26T19:47:01.2382800Z This not only gives the user more control over the tradeoff between speedup and accuracy,
2025-08-26T19:47:01.2383060Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers.
2025-08-26T19:47:01.2383060Z 
2025-08-26T19:47:01.2383100Z Args:
2025-08-26T19:47:01.2383360Z     state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc.
2025-08-26T19:47:01.2383580Z         To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter``
2025-08-26T19:47:01.2383690Z         and ``min_compression_rate``.
2025-08-26T19:47:01.2383950Z     bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-08-26T19:47:01.2384130Z         Note that since DDP comm hook only supports single process single device mode,
2025-08-26T19:47:01.2384240Z         only exactly one tensor is stored in this bucket.
2025-08-26T19:47:01.2384240Z 
2025-08-26T19:47:01.2384280Z Returns:
2025-08-26T19:47:01.2384440Z     Future handler of the communication, which updates the gradients in place.
2025-08-26T19:47:01.2384440Z 
2025-08-26T19:47:01.2384490Z Example::
2025-08-26T19:47:01.2384540Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:01.2384710Z     >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1,
2025-08-26T19:47:01.2384820Z                               start_powerSGD_iter=10, min_compression_rate=0.5)
2025-08-26T19:47:01.2384920Z     >>> ddp_model.register_comm_hook(state, powerSGD_hook)
2025-08-26T19:47:01.2384920Z 
2025-08-26T19:47:01.2385080Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.2385080Z 
2025-08-26T19:47:01.2385580Z msg = Cannot scrape callname=PostLocalSGDOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9.
2025-08-26T19:47:01.2385810Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.2385820Z 
2025-08-26T19:47:01.2386060Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-08-26T19:47:01.2386160Z This optimizer runs local optimizer at every step.
2025-08-26T19:47:01.2386360Z After the warm-up stage, it averages parameters periodically after the local optimizer is applied.
2025-08-26T19:47:01.2386370Z 
2025-08-26T19:47:01.2386410Z Args:
2025-08-26T19:47:01.2386470Z     optim: The local optimizer.
2025-08-26T19:47:01.2386610Z     averager: A model averager instance to run post-localSGD algorithm.
2025-08-26T19:47:01.2386620Z 
2025-08-26T19:47:01.2386660Z Example::
2025-08-26T19:47:01.2386670Z 
2025-08-26T19:47:01.2386750Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:01.2386800Z     >>> import torch
2025-08-26T19:47:01.2386870Z     >>> import torch.distributed as dist
2025-08-26T19:47:01.2387040Z     >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-08-26T19:47:01.2387100Z     >>> import torch.nn as nn
2025-08-26T19:47:01.2387230Z     >>> from torch.distributed.optim import PostLocalSGDOptimizer
2025-08-26T19:47:01.2387400Z     >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-08-26T19:47:01.2387460Z     >>>   PostLocalSGDState,
2025-08-26T19:47:01.2387510Z     >>>   post_localSGD_hook,
2025-08-26T19:47:01.2387560Z     >>> )
2025-08-26T19:47:01.2387600Z     >>>
2025-08-26T19:47:01.2387700Z     >>> model = nn.parallel.DistributedDataParallel(
2025-08-26T19:47:01.2387790Z     >>>    module, device_ids=[rank], output_device=rank
2025-08-26T19:47:01.2387840Z     >>> )
2025-08-26T19:47:01.2387880Z     >>>
2025-08-26T19:47:01.2387970Z     >>> # Register a post-localSGD communication hook.
2025-08-26T19:47:01.2388160Z     >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-08-26T19:47:01.2388260Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-08-26T19:47:01.2388310Z     >>>
2025-08-26T19:47:01.2388430Z     >>> # Create a post-localSGD optimizer that wraps a local optimizer.
2025-08-26T19:47:01.2388600Z     >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as
2025-08-26T19:47:01.2388700Z     >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-08-26T19:47:01.2388830Z     >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01)
2025-08-26T19:47:01.2388900Z     >>> opt = PostLocalSGDOptimizer(
2025-08-26T19:47:01.2388960Z     >>>     optim=local_optim,
2025-08-26T19:47:01.2389160Z     >>>     averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-08-26T19:47:01.2389210Z     >>> )
2025-08-26T19:47:01.2389250Z     >>>
2025-08-26T19:47:01.2389430Z     >>> # In the first 100 steps, DDP runs global gradient averaging at every step.
2025-08-26T19:47:01.2389610Z     >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default),
2025-08-26T19:47:01.2389840Z     >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer.
2025-08-26T19:47:01.2389900Z     >>> for step in range(0, 200):
2025-08-26T19:47:01.2389960Z     >>>    opt.zero_grad()
2025-08-26T19:47:01.2390030Z     >>>    loss = loss_fn(output, labels)
2025-08-26T19:47:01.2390090Z     >>>    loss.backward()
2025-08-26T19:47:01.2390140Z     >>>    opt.step()
2025-08-26T19:47:01.2390140Z 
2025-08-26T19:47:01.2390290Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.2390300Z 
2025-08-26T19:47:01.2390750Z msg = Cannot scrape callname=DistributedOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/optim/optimizer.py line=129.
2025-08-26T19:47:01.2390910Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.2390970Z 
2025-08-26T19:47:01.2391120Z DistributedOptimizer takes remote references to parameters scattered
2025-08-26T19:47:01.2391270Z across workers and applies the given optimizer locally for each parameter.
2025-08-26T19:47:01.2391270Z 
2025-08-26T19:47:01.2391420Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order
2025-08-26T19:47:01.2391510Z to retrieve the gradients for specific parameters.
2025-08-26T19:47:01.2391510Z 
2025-08-26T19:47:01.2391560Z Concurrent calls to
2025-08-26T19:47:01.2391690Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`,
2025-08-26T19:47:01.2391780Z either from the same or different clients, will
2025-08-26T19:47:01.2391920Z be serialized on each worker -- as each worker's optimizer can only work
2025-08-26T19:47:01.2392050Z on one set of gradients at a time. However, there is no guarantee that
2025-08-26T19:47:01.2392190Z the full forward-backward-optimizer sequence will execute for one client
2025-08-26T19:47:01.2392330Z at a time. This means that the gradients being applied may not correspond
2025-08-26T19:47:01.2392470Z to the latest forward pass executed on a given worker. Also, there is no
2025-08-26T19:47:01.2392540Z guaranteed ordering across workers.
2025-08-26T19:47:01.2392540Z 
2025-08-26T19:47:01.2392700Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled
2025-08-26T19:47:01.2392840Z by default, so that optimizer updates are not blocked by the Python Global
2025-08-26T19:47:01.2392990Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed
2025-08-26T19:47:01.2393140Z Model Parallel). This feature is currently enabled for most optimizers. You
2025-08-26T19:47:01.2393300Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support
2025-08-26T19:47:01.2393360Z for your own custom optimizers.
2025-08-26T19:47:01.2393360Z 
2025-08-26T19:47:01.2393400Z Args:
2025-08-26T19:47:01.2393530Z     optimizer_class (optim.Optimizer): the class of optimizer to
2025-08-26T19:47:01.2393590Z         instantiate on each worker.
2025-08-26T19:47:01.2393720Z     params_rref (list[RRef]): list of RRefs to local or remote parameters
2025-08-26T19:47:01.2393770Z         to optimize.
2025-08-26T19:47:01.2393900Z     args: arguments to pass to the optimizer constructor on each worker.
2025-08-26T19:47:01.2394030Z     kwargs: arguments to pass to the optimizer constructor on each worker.
2025-08-26T19:47:01.2394040Z 
2025-08-26T19:47:01.2394080Z Example::
2025-08-26T19:47:01.2394150Z     >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:01.2394250Z     >>> import torch.distributed.autograd as dist_autograd
2025-08-26T19:47:01.2394360Z     >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:01.2394420Z     >>> from torch import optim
2025-08-26T19:47:01.2394540Z     >>> from torch.distributed.optim import DistributedOptimizer
2025-08-26T19:47:01.2394610Z     >>>
2025-08-26T19:47:01.2394690Z     >>> with dist_autograd.context() as context_id:
2025-08-26T19:47:01.2394750Z     >>>   # Forward pass.
2025-08-26T19:47:01.2394870Z     >>>   rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3))
2025-08-26T19:47:01.2394990Z     >>>   rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1))
2025-08-26T19:47:01.2395070Z     >>>   loss = rref1.to_here() + rref2.to_here()
2025-08-26T19:47:01.2395120Z     >>>
2025-08-26T19:47:01.2395170Z     >>>   # Backward pass.
2025-08-26T19:47:01.2395260Z     >>>   dist_autograd.backward(context_id, [loss.sum()])
2025-08-26T19:47:01.2395300Z     >>>
2025-08-26T19:47:01.2395360Z     >>>   # Optimizer.
2025-08-26T19:47:01.2395430Z     >>>   dist_optim = DistributedOptimizer(
2025-08-26T19:47:01.2395480Z     >>>      optim.SGD,
2025-08-26T19:47:01.2395540Z     >>>      [rref1, rref2],
2025-08-26T19:47:01.2395590Z     >>>      lr=0.05,
2025-08-26T19:47:01.2395630Z     >>>   )
2025-08-26T19:47:01.2395700Z     >>>   dist_optim.step(context_id)
2025-08-26T19:47:01.2395700Z 
2025-08-26T19:47:01.2395850Z __ https://github.com/pytorch/tutorials/pull/1465
2025-08-26T19:47:01.2395860Z 
2025-08-26T19:47:01.2396020Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.2551330Z 
2025-08-26T19:47:01.2552120Z msg = Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284.
2025-08-26T19:47:01.2552300Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.2552300Z 
2025-08-26T19:47:01.2552580Z Wrap an arbitrary :class:`optim.Optimizer <torch.optim.Optimizer>` and shards its states across ranks in the group.
2025-08-26T19:47:01.2552590Z 
2025-08-26T19:47:01.2552760Z The sharing is done as described by `ZeRO <https://arxiv.org/abs/1910.02054>`_.
2025-08-26T19:47:01.2552770Z 
2025-08-26T19:47:01.2552860Z The local optimizer instance in each rank is only
2025-08-26T19:47:01.2553020Z responsible for updating approximately ``1 / world_size`` parameters and
2025-08-26T19:47:01.2553160Z hence only needs to keep ``1 / world_size`` optimizer states. After
2025-08-26T19:47:01.2553310Z parameters are updated locally, each rank will broadcast its parameters to
2025-08-26T19:47:01.2553430Z all other peers to keep all model replicas in the same state.
2025-08-26T19:47:01.2553560Z ``ZeroRedundancyOptimizer`` can be used in conjunction with
2025-08-26T19:47:01.2553720Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak
2025-08-26T19:47:01.2553780Z memory consumption.
2025-08-26T19:47:01.2553780Z 
2025-08-26T19:47:01.2553940Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number
2025-08-26T19:47:01.2554100Z of parameters at each rank. Each parameter belongs to a single rank and is
2025-08-26T19:47:01.2554240Z not divided among ranks. The partition is arbitrary and might not match the
2025-08-26T19:47:01.2554320Z the parameter registration or usage order.
2025-08-26T19:47:01.2554330Z 
2025-08-26T19:47:01.2554380Z Arguments:
2025-08-26T19:47:01.2554500Z     params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s
2025-08-26T19:47:01.2554630Z         or :class:`dict` s giving all parameters, which will be sharded
2025-08-26T19:47:01.2554670Z         across ranks.
2025-08-26T19:47:01.2554680Z 
2025-08-26T19:47:01.2554730Z Keyword Args:
2025-08-26T19:47:01.2554870Z     optimizer_class (:class:`torch.nn.Optimizer`): the class of the local
2025-08-26T19:47:01.2554920Z         optimizer.
2025-08-26T19:47:01.2555050Z     process_group (``ProcessGroup``, optional): ``torch.distributed``
2025-08-26T19:47:01.2555390Z         ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by
2025-08-26T19:47:01.2555490Z         :meth:`torch.distributed.init_process_group`).
2025-08-26T19:47:01.2555640Z     parameters_as_bucket_view (bool, optional): if ``True``, parameters are
2025-08-26T19:47:01.2555830Z         packed into buckets to speed up communication, and ``param.data``
2025-08-26T19:47:01.2555960Z         fields point to bucket views at different offsets; if ``False``,
2025-08-26T19:47:01.2556090Z         each individual parameter is communicated separately, and each
2025-08-26T19:47:01.2556190Z         ``params.data`` stays intact (default: ``False``).
2025-08-26T19:47:01.2556340Z     overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is
2025-08-26T19:47:01.2556470Z         overlapped with :class:`DistributedDataParallel` 's gradient
2025-08-26T19:47:01.2556600Z         synchronization; this requires (1) either a functional optimizer
2025-08-26T19:47:01.2556720Z         for the ``optimizer_class`` argument or one with a functional
2025-08-26T19:47:01.2556830Z         equivalent and (2) registering a DDP communication hook
2025-08-26T19:47:01.2556970Z         constructed from one of the functions in ``ddp_zero_hook.py``;
2025-08-26T19:47:01.2557070Z         parameters are packed into buckets matching those in
2025-08-26T19:47:01.2557180Z         :class:`DistributedDataParallel`, meaning that the
2025-08-26T19:47:01.2557420Z         ``parameters_as_bucket_view`` argument is ignored.
2025-08-26T19:47:01.2557550Z         If ``False``, :meth:`step` runs disjointly after the backward pass
2025-08-26T19:47:01.2557600Z         (per normal).
2025-08-26T19:47:01.2557660Z         (default: ``False``)
2025-08-26T19:47:01.2557800Z     **defaults: any trailing arguments, which are forwarded to the local
2025-08-26T19:47:01.2557850Z         optimizer.
2025-08-26T19:47:01.2557850Z 
2025-08-26T19:47:01.2557910Z Example::
2025-08-26T19:47:01.2557910Z 
2025-08-26T19:47:01.2557970Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:01.2558020Z     >>> import torch.nn as nn
2025-08-26T19:47:01.2558160Z     >>> from torch.distributed.optim import ZeroRedundancyOptimizer
2025-08-26T19:47:01.2558290Z     >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-08-26T19:47:01.2558440Z     >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)])
2025-08-26T19:47:01.2558510Z     >>> ddp = DDP(model, device_ids=[rank])
2025-08-26T19:47:01.2558580Z     >>> opt = ZeroRedundancyOptimizer(
2025-08-26T19:47:01.2558640Z     >>>     ddp.parameters(),
2025-08-26T19:47:01.2558720Z     >>>     optimizer_class=torch.optim.Adam,
2025-08-26T19:47:01.2558770Z     >>>     lr=0.01
2025-08-26T19:47:01.2558810Z     >>> )
2025-08-26T19:47:01.2558870Z     >>> ddp(inputs).sum().backward()
2025-08-26T19:47:01.2558920Z     >>> opt.step()
2025-08-26T19:47:01.2558920Z 
2025-08-26T19:47:01.2558970Z .. warning::
2025-08-26T19:47:01.2559100Z     Currently, ``ZeroRedundancyOptimizer`` requires that all of the
2025-08-26T19:47:01.2559190Z     passed-in parameters are the same dense type.
2025-08-26T19:47:01.2559200Z 
2025-08-26T19:47:01.2559240Z .. warning::
2025-08-26T19:47:01.2559380Z     If you pass ``overlap_with_ddp=True``, be wary of the following: Given
2025-08-26T19:47:01.2559510Z     the way that overlapping :class:`DistributedDataParallel` with
2025-08-26T19:47:01.2559660Z     :class:`ZeroRedundancyOptimizer` is currently implemented, the first
2025-08-26T19:47:01.2559790Z     two or three training iterations do not perform parameter updates in
2025-08-26T19:47:01.2559920Z     the optimizer step, depending on if ``static_graph=False`` or
2025-08-26T19:47:01.2560030Z     ``static_graph=True``, respectively. This is because it needs
2025-08-26T19:47:01.2560150Z     information about the gradient bucketing strategy used by
2025-08-26T19:47:01.2560290Z     :class:`DistributedDataParallel`, which is not finalized until the
2025-08-26T19:47:01.2560410Z     second forward pass if ``static_graph=False`` or until the third
2025-08-26T19:47:01.2560590Z     forward pass if ``static_graph=True``. To adjust for this, one option
2025-08-26T19:47:01.2560660Z     is to prepend dummy inputs.
2025-08-26T19:47:01.2560660Z 
2025-08-26T19:47:01.2560820Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change.
2025-08-26T19:47:01.2560850Z 
2025-08-26T19:47:01.2561010Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.2561010Z 
2025-08-26T19:47:01.2561590Z msg = Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=634.
2025-08-26T19:47:01.2561750Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.2561910Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-08-26T19:47:01.2561920Z 
2025-08-26T19:47:01.2562080Z         Also takes (optional) configuration for the model's and optimizer's state dict.
2025-08-26T19:47:01.2562210Z         The target module does not have to be a FSDP module. If the target
2025-08-26T19:47:01.2562340Z         module is a FSDP module, its ``state_dict_type`` will also be changed.
2025-08-26T19:47:01.2562340Z 
2025-08-26T19:47:01.2562470Z         .. note:: This API should be called for only the top-level (root)
2025-08-26T19:47:01.2562580Z             module.
2025-08-26T19:47:01.2562580Z 
2025-08-26T19:47:01.2562710Z         .. note:: This API enables users to transparently use the conventional
2025-08-26T19:47:01.2562830Z             ``state_dict`` API to take model checkpoints in cases where the
2025-08-26T19:47:01.2562960Z             root FSDP module is wrapped by another ``nn.Module``. For example,
2025-08-26T19:47:01.2563090Z             the following will ensure ``state_dict`` is called on all non-FSDP
2025-08-26T19:47:01.2563230Z             instances, while dispatching into `sharded_state_dict` implementation
2025-08-26T19:47:01.2563280Z             for FSDP:
2025-08-26T19:47:01.2563280Z 
2025-08-26T19:47:01.2563330Z         Example::
2025-08-26T19:47:01.2563340Z 
2025-08-26T19:47:01.2563420Z             >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:01.2563480Z             >>> model = DDP(FSDP(...))
2025-08-26T19:47:01.2563550Z             >>> FSDP.set_state_dict_type(
2025-08-26T19:47:01.2563600Z             >>>     model,
2025-08-26T19:47:01.2563680Z             >>>     StateDictType.SHARDED_STATE_DICT,
2025-08-26T19:47:01.2563820Z             >>>     state_dict_config = ShardedStateDictConfig(offload_to_cpu=True),
2025-08-26T19:47:01.2563950Z             >>>     optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True),
2025-08-26T19:47:01.2564000Z             >>> )
2025-08-26T19:47:01.2564080Z             >>> param_state_dict = model.state_dict()
2025-08-26T19:47:01.2564180Z             >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-08-26T19:47:01.2564190Z 
2025-08-26T19:47:01.2564230Z         Args:
2025-08-26T19:47:01.2564310Z             module (torch.nn.Module): Root module.
2025-08-26T19:47:01.2564450Z             state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-08-26T19:47:01.2564600Z             state_dict_config (Optional[StateDictConfig]): the configuration for the
2025-08-26T19:47:01.2564670Z                 target ``state_dict_type``.
2025-08-26T19:47:01.2564820Z             optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration
2025-08-26T19:47:01.2564890Z                 for the optimizer state dict.
2025-08-26T19:47:01.2564900Z 
2025-08-26T19:47:01.2564940Z         Returns:
2025-08-26T19:47:01.2565080Z             A StateDictSettings that include the previous state_dict type and
2025-08-26T19:47:01.2565140Z             configuration for the module.
2025-08-26T19:47:01.2565190Z         
2025-08-26T19:47:01.2565340Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.2565340Z 
2025-08-26T19:47:01.2565930Z msg = Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=792.
2025-08-26T19:47:01.2566110Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.2566270Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-08-26T19:47:01.2566270Z 
2025-08-26T19:47:01.2566460Z         This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of
2025-08-26T19:47:01.2566540Z         :meth:`set_state_dict_type` for the detail.
2025-08-26T19:47:01.2566550Z 
2025-08-26T19:47:01.2566590Z         Example::
2025-08-26T19:47:01.2566590Z 
2025-08-26T19:47:01.2566680Z             >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:01.2566740Z             >>> model = DDP(FSDP(...))
2025-08-26T19:47:01.2566800Z             >>> with FSDP.state_dict_type(
2025-08-26T19:47:01.2566850Z             >>>     model,
2025-08-26T19:47:01.2566930Z             >>>     StateDictType.SHARDED_STATE_DICT,
2025-08-26T19:47:01.2566980Z             >>> ):
2025-08-26T19:47:01.2567060Z             >>>     checkpoint = model.state_dict()
2025-08-26T19:47:01.2567060Z 
2025-08-26T19:47:01.2567160Z         Args:
2025-08-26T19:47:01.2567240Z             module (torch.nn.Module): Root module.
2025-08-26T19:47:01.2567390Z             state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-08-26T19:47:01.2567540Z             state_dict_config (Optional[StateDictConfig]): the model ``state_dict``
2025-08-26T19:47:01.2567640Z                 configuration for the target ``state_dict_type``.
2025-08-26T19:47:01.2567780Z             optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer
2025-08-26T19:47:01.2567910Z                ``state_dict`` configuration for the target ``state_dict_type``.
2025-08-26T19:47:01.2567950Z         
2025-08-26T19:47:01.2568110Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.3154780Z 
2025-08-26T19:47:01.3155540Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1805.
2025-08-26T19:47:01.3155790Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.3155790Z 
2025-08-26T19:47:01.3155950Z Transform the state-dict of an optimizer corresponding to a sharded model.
2025-08-26T19:47:01.3155950Z 
2025-08-26T19:47:01.3156080Z The given state-dict can be transformed to one of three types:
2025-08-26T19:47:01.3156270Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict.
2025-08-26T19:47:01.3156280Z 
2025-08-26T19:47:01.3156420Z For full optimizer state_dict, all states are unflattened and not sharded.
2025-08-26T19:47:01.3156570Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to
2025-08-26T19:47:01.3156610Z avoid OOM.
2025-08-26T19:47:01.3156620Z 
2025-08-26T19:47:01.3156770Z For sharded optimizer state_dict, all states are unflattened but sharded.
2025-08-26T19:47:01.3156900Z CPU only can be specified via :meth:`state_dict_type` to further save
2025-08-26T19:47:01.3156950Z memory.
2025-08-26T19:47:01.3156950Z 
2025-08-26T19:47:01.3157090Z For local state_dict, no transformation will be performed. But a state
2025-08-26T19:47:01.3157240Z will be converted from nn.Tensor to ShardedTensor to represent its sharding
2025-08-26T19:47:01.3157310Z nature (this is not supported yet).
2025-08-26T19:47:01.3157310Z 
2025-08-26T19:47:01.3157380Z Example::
2025-08-26T19:47:01.3157380Z 
2025-08-26T19:47:01.3157460Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:01.3157610Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-26T19:47:01.3157880Z     >>> from torch.distributed.fsdp import StateDictType
2025-08-26T19:47:01.3158000Z     >>> from torch.distributed.fsdp import FullStateDictConfig
2025-08-26T19:47:01.3158130Z     >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-08-26T19:47:01.3158240Z     >>> # Save a checkpoint
2025-08-26T19:47:01.3158290Z     >>> model, optim = ...
2025-08-26T19:47:01.3158360Z     >>> FSDP.set_state_dict_type(
2025-08-26T19:47:01.3158410Z     >>>     model,
2025-08-26T19:47:01.3158480Z     >>>     StateDictType.FULL_STATE_DICT,
2025-08-26T19:47:01.3158560Z     >>>     FullStateDictConfig(rank0_only=False),
2025-08-26T19:47:01.3158650Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-26T19:47:01.3158690Z     >>> )
2025-08-26T19:47:01.3158760Z     >>> state_dict = model.state_dict()
2025-08-26T19:47:01.3158870Z     >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-08-26T19:47:01.3158950Z     >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-08-26T19:47:01.3159010Z     >>> # Load a checkpoint
2025-08-26T19:47:01.3159070Z     >>> model, optim = ...
2025-08-26T19:47:01.3159170Z     >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-08-26T19:47:01.3159230Z     >>> FSDP.set_state_dict_type(
2025-08-26T19:47:01.3159270Z     >>>     model,
2025-08-26T19:47:01.3159340Z     >>>     StateDictType.FULL_STATE_DICT,
2025-08-26T19:47:01.3159560Z     >>>     FullStateDictConfig(rank0_only=False),
2025-08-26T19:47:01.3159650Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-26T19:47:01.3159700Z     >>> )
2025-08-26T19:47:01.3159770Z     >>> model.load_state_dict(state_dict)
2025-08-26T19:47:01.3159860Z     >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-08-26T19:47:01.3159930Z     >>>     model, optim, optim_state_dict
2025-08-26T19:47:01.3159970Z     >>> )
2025-08-26T19:47:01.3160040Z     >>> optim.load_state_dict(optim_state_dict)
2025-08-26T19:47:01.3160050Z 
2025-08-26T19:47:01.3160090Z Args:
2025-08-26T19:47:01.3160220Z     model (torch.nn.Module): Root module (which may or may not be a
2025-08-26T19:47:01.3160350Z         :class:`FullyShardedDataParallel` instance) whose parameters
2025-08-26T19:47:01.3160430Z         were passed into the optimizer ``optim``.
2025-08-26T19:47:01.3160560Z     optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-08-26T19:47:01.3160600Z         parameters.
2025-08-26T19:47:01.3160740Z     optim_state_dict (Dict[str, Any]): the target optimizer state_dict to
2025-08-26T19:47:01.3160880Z         transform. If the value is None, optim.state_dict() will be used. (
2025-08-26T19:47:01.3160930Z         Default: ``None``)
2025-08-26T19:47:01.3161090Z     group (dist.ProcessGroup): Model's process group across which parameters
2025-08-26T19:47:01.3161210Z         are sharded or ``None`` if using the default process group. (
2025-08-26T19:47:01.3161260Z         Default: ``None``)
2025-08-26T19:47:01.3161260Z 
2025-08-26T19:47:01.3161300Z Returns:
2025-08-26T19:47:01.3161430Z     Dict[str, Any]: A :class:`dict` containing the optimizer state for
2025-08-26T19:47:01.3161530Z     ``model``. The sharding of the optimizer state is based on
2025-08-26T19:47:01.3161590Z     ``state_dict_type``.
2025-08-26T19:47:01.3161590Z 
2025-08-26T19:47:01.3161750Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.3161750Z 
2025-08-26T19:47:01.3162330Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1903.
2025-08-26T19:47:01.3162500Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.3162500Z 
2025-08-26T19:47:01.3162720Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model.
2025-08-26T19:47:01.3162720Z 
2025-08-26T19:47:01.3162830Z Given a ``optim_state_dict`` that is transformed through
2025-08-26T19:47:01.3163050Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer
2025-08-26T19:47:01.3163190Z state_dict that can be loaded to ``optim`` which is the optimizer for
2025-08-26T19:47:01.3163320Z ``model``. ``model`` must be sharded by FullyShardedDataParallel.
2025-08-26T19:47:01.3163360Z 
2025-08-26T19:47:01.3163440Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:01.3163600Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-26T19:47:01.3163690Z     >>> from torch.distributed.fsdp import StateDictType
2025-08-26T19:47:01.3163810Z     >>> from torch.distributed.fsdp import FullStateDictConfig
2025-08-26T19:47:01.3163940Z     >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-08-26T19:47:01.3164000Z     >>> # Save a checkpoint
2025-08-26T19:47:01.3164050Z     >>> model, optim = ...
2025-08-26T19:47:01.3164110Z     >>> FSDP.set_state_dict_type(
2025-08-26T19:47:01.3164160Z     >>>     model,
2025-08-26T19:47:01.3164220Z     >>>     StateDictType.FULL_STATE_DICT,
2025-08-26T19:47:01.3164310Z     >>>     FullStateDictConfig(rank0_only=False),
2025-08-26T19:47:01.3164400Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-26T19:47:01.3164500Z     >>> )
2025-08-26T19:47:01.3164580Z     >>> state_dict = model.state_dict()
2025-08-26T19:47:01.3164650Z     >>> original_osd = optim.state_dict()
2025-08-26T19:47:01.3164830Z     >>> optim_state_dict = FSDP.optim_state_dict(
2025-08-26T19:47:01.3164890Z     >>>     model,
2025-08-26T19:47:01.3164930Z     >>>     optim,
2025-08-26T19:47:01.3165010Z     >>>     optim_state_dict=original_osd
2025-08-26T19:47:01.3165070Z     >>> )
2025-08-26T19:47:01.3165180Z     >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-08-26T19:47:01.3165230Z     >>> # Load a checkpoint
2025-08-26T19:47:01.3165300Z     >>> model, optim = ...
2025-08-26T19:47:01.3165410Z     >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-08-26T19:47:01.3165480Z     >>> FSDP.set_state_dict_type(
2025-08-26T19:47:01.3165520Z     >>>     model,
2025-08-26T19:47:01.3165600Z     >>>     StateDictType.FULL_STATE_DICT,
2025-08-26T19:47:01.3165720Z     >>>     FullStateDictConfig(rank0_only=False),
2025-08-26T19:47:01.3165800Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-26T19:47:01.3171530Z     >>> )
2025-08-26T19:47:01.3171620Z     >>> model.load_state_dict(state_dict)
2025-08-26T19:47:01.3171720Z     >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-08-26T19:47:01.3171790Z     >>>     model, optim, optim_state_dict
2025-08-26T19:47:01.3171830Z     >>> )
2025-08-26T19:47:01.3171910Z     >>> optim.load_state_dict(optim_state_dict)
2025-08-26T19:47:01.3171910Z 
2025-08-26T19:47:01.3171960Z Args:
2025-08-26T19:47:01.3172080Z     model (torch.nn.Module): Root module (which may or may not be a
2025-08-26T19:47:01.3172210Z         :class:`FullyShardedDataParallel` instance) whose parameters
2025-08-26T19:47:01.3172290Z         were passed into the optimizer ``optim``.
2025-08-26T19:47:01.3172410Z     optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-08-26T19:47:01.3172460Z         parameters.
2025-08-26T19:47:01.3172600Z     optim_state_dict (Dict[str, Any]): The optimizer states to be loaded.
2025-08-26T19:47:01.3172730Z     is_named_optimizer (bool): Is this optimizer a NamedOptimizer or
2025-08-26T19:47:01.3172850Z         KeyedOptimizer. Only set to True if ``optim`` is TorchRec's
2025-08-26T19:47:01.3172960Z         KeyedOptimizer or torch.distributed's NamedOptimizer.
2025-08-26T19:47:01.3173090Z     load_directly (bool): If this is set to True, this API will also
2025-08-26T19:47:01.3173210Z         call optim.load_state_dict(result) before returning the result.
2025-08-26T19:47:01.3173360Z         Otherwise, users are responsible to call ``optim.load_state_dict()``
2025-08-26T19:47:01.3173410Z         (Default: ``False``)
2025-08-26T19:47:01.3173560Z     group (dist.ProcessGroup): Model's process group across which parameters
2025-08-26T19:47:01.3173680Z         are sharded or ``None`` if using the default process group. (
2025-08-26T19:47:01.3173820Z         Default: ``None``)
2025-08-26T19:47:01.3173830Z 
2025-08-26T19:47:01.3173990Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.3174010Z 
2025-08-26T19:47:01.3174440Z msg = Cannot scrape callname=MixedPrecision in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=114.
2025-08-26T19:47:01.3174600Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.3174610Z 
2025-08-26T19:47:01.3174710Z This configures FSDP-native mixed precision training.
2025-08-26T19:47:01.3174710Z 
2025-08-26T19:47:01.3174760Z Attributes:
2025-08-26T19:47:01.3174910Z     param_dtype (Optional[torch.dtype]): This specifies the dtype for model
2025-08-26T19:47:01.3175040Z         parameters during forward and backward and thus the dtype for
2025-08-26T19:47:01.3175180Z         forward and backward computation. Outside forward and backward, the
2025-08-26T19:47:01.3175310Z         *sharded* parameters are kept in full precision (e.g. for the
2025-08-26T19:47:01.3175430Z         optimizer step), and for model checkpointing, the parameters are
2025-08-26T19:47:01.3175540Z         always saved in full precision. (Default: ``None``)
2025-08-26T19:47:01.3175750Z     reduce_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-08-26T19:47:01.3175890Z         gradient reduction (i.e. reduce-scatter or all-reduce). If this is
2025-08-26T19:47:01.3176000Z         ``None`` but ``param_dtype`` is not ``None``, then this takes on
2025-08-26T19:47:01.3176130Z         the ``param_dtype`` value, still running gradient reduction in low
2025-08-26T19:47:01.3176260Z         precision. This is permitted to differ from ``param_dtype``, e.g.
2025-08-26T19:47:01.3176380Z         to force gradient reduction to run in full precision. (Default:
2025-08-26T19:47:01.3176430Z         ``None``)
2025-08-26T19:47:01.3176570Z     buffer_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-08-26T19:47:01.3176690Z         buffers. FSDP does not shard buffers. Rather, FSDP casts them to
2025-08-26T19:47:01.3176810Z         ``buffer_dtype`` in the first forward pass and keeps them in that
2025-08-26T19:47:01.3176940Z         dtype thereafter. For model checkpointing, the buffers are saved
2025-08-26T19:47:01.3177050Z         in full precision except for ``LOCAL_STATE_DICT``. (Default:
2025-08-26T19:47:01.3177100Z         ``None``)
2025-08-26T19:47:01.3177220Z     keep_low_precision_grads (bool): If ``False``, then FSDP upcasts
2025-08-26T19:47:01.3177350Z         gradients to full precision after the backward pass in preparation
2025-08-26T19:47:01.3177480Z         for the optimizer step. If ``True``, then FSDP keeps the gradients
2025-08-26T19:47:01.3177600Z         in the dtype used for gradient reduction, which can save memory if
2025-08-26T19:47:01.3177720Z         using a custom optimizer that supports running in low precision.
2025-08-26T19:47:01.3177780Z         (Default: ``False``)
2025-08-26T19:47:01.3177910Z     cast_forward_inputs (bool): If ``True``, then this FSDP module casts
2025-08-26T19:47:01.3178030Z         its forward args and kwargs to ``param_dtype``. This is to ensure
2025-08-26T19:47:01.3178160Z         that parameter and input dtypes match for forward computation, as
2025-08-26T19:47:01.3178290Z         required by many ops. This may need to be set to ``True`` when only
2025-08-26T19:47:01.3178420Z         applying mixed precision to some but not all FSDP modules, in which
2025-08-26T19:47:01.3178560Z         case a mixed-precision FSDP submodule needs to recast its inputs.
2025-08-26T19:47:01.3178610Z         (Default: ``False``)
2025-08-26T19:47:01.3178750Z     cast_root_forward_inputs (bool): If ``True``, then the root FSDP module
2025-08-26T19:47:01.3178870Z         casts its forward args and kwargs to ``param_dtype``, overriding
2025-08-26T19:47:01.3178990Z         the value of ``cast_forward_inputs``. For non-root FSDP modules,
2025-08-26T19:47:01.3179120Z         this does not do anything. (Default: ``True``)
2025-08-26T19:47:01.3179260Z     _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies
2025-08-26T19:47:01.3179400Z         module classes to ignore for mixed precision when using an
2025-08-26T19:47:01.3179520Z         ``auto_wrap_policy``: Modules of these classes will have FSDP
2025-08-26T19:47:01.3179650Z         applied to them separately with mixed precision disabled (meaning
2025-08-26T19:47:01.3179770Z         that the final FSDP construction would deviate from the specified
2025-08-26T19:47:01.3179890Z         policy). If ``auto_wrap_policy`` is not specified, then this does
2025-08-26T19:47:01.3180010Z         not do anything. This API is experimental and subject to change.
2025-08-26T19:47:01.3180070Z         (Default: ``(_BatchNorm,)``)
2025-08-26T19:47:01.3180080Z 
2025-08-26T19:47:01.3180180Z .. note:: This API is experimental and subject to change.
2025-08-26T19:47:01.3180180Z 
2025-08-26T19:47:01.3180320Z .. note:: Only floating point tensors are cast to their specified dtypes.
2025-08-26T19:47:01.3180320Z 
2025-08-26T19:47:01.3180440Z .. note:: In ``summon_full_params``, parameters are forced to full
2025-08-26T19:47:01.3180500Z     precision, but buffers are not.
2025-08-26T19:47:01.3180500Z 
2025-08-26T19:47:01.3180710Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when
2025-08-26T19:47:01.3180840Z     their inputs are in a low precision like ``float16`` or ``bfloat16``.
2025-08-26T19:47:01.3180990Z     Disabling FSDP's mixed precision for those norm modules only means that
2025-08-26T19:47:01.3181120Z     the affine parameters are kept in ``float32``. However, this incurs
2025-08-26T19:47:01.3181260Z     separate all-gathers and reduce-scatters for those norm modules, which
2025-08-26T19:47:01.3181400Z     may be inefficient, so if the workload permits, the user should prefer
2025-08-26T19:47:01.3181490Z     to still apply mixed precision to those modules.
2025-08-26T19:47:01.3181490Z 
2025-08-26T19:47:01.3181620Z .. note:: By default, if the user passes a model with any ``_BatchNorm``
2025-08-26T19:47:01.3181740Z     modules and specifies an ``auto_wrap_policy``, then the batch norm
2025-08-26T19:47:01.3181880Z     modules will have FSDP applied to them separately with mixed precision
2025-08-26T19:47:01.3181990Z     disabled. See the ``_module_classes_to_ignore`` argument.
2025-08-26T19:47:01.3181990Z 
2025-08-26T19:47:01.3182110Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and
2025-08-26T19:47:01.3182240Z     ``cast_forward_inputs=False`` by default. For the root FSDP instance,
2025-08-26T19:47:01.3182360Z     its ``cast_root_forward_inputs`` takes precedence over its
2025-08-26T19:47:01.3182460Z     ``cast_forward_inputs``. For non-root FSDP instances, their
2025-08-26T19:47:01.3182600Z     ``cast_root_forward_inputs`` values are ignored. The default setting is
2025-08-26T19:47:01.3182730Z     sufficient for the typical case where each FSDP instance has the same
2025-08-26T19:47:01.3182870Z     ``MixedPrecision`` configuration and only needs to cast inputs to the
2025-08-26T19:47:01.3182990Z     ``param_dtype`` at the beginning of the model's forward pass.
2025-08-26T19:47:01.3182990Z 
2025-08-26T19:47:01.3183120Z .. note:: For nested FSDP instances with different ``MixedPrecision``
2025-08-26T19:47:01.3183260Z     configurations, we recommend setting individual ``cast_forward_inputs``
2025-08-26T19:47:01.3183400Z     values to configure casting inputs or not before each instance's
2025-08-26T19:47:01.3183520Z     forward. In such a case, since the casts happen before each FSDP
2025-08-26T19:47:01.3183650Z     instance's forward, a parent FSDP instance should have its non-FSDP
2025-08-26T19:47:01.3183790Z     submodules run before its FSDP submodules to avoid the activation dtype
2025-08-26T19:47:01.3183920Z     being changed due to a different ``MixedPrecision`` configuration.
2025-08-26T19:47:01.3183920Z 
2025-08-26T19:47:01.3183970Z     Example::
2025-08-26T19:47:01.3184020Z 
2025-08-26T19:47:01.3184110Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:01.3184210Z         >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3))
2025-08-26T19:47:01.3184300Z         >>> model[1] = FSDP(
2025-08-26T19:47:01.3184350Z         >>>     model[1],
2025-08-26T19:47:01.3184540Z         >>>     mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True),
2025-08-26T19:47:01.3184580Z         >>> )
2025-08-26T19:47:01.3184640Z         >>> model = FSDP(
2025-08-26T19:47:01.3184680Z         >>>     model,
2025-08-26T19:47:01.3184870Z         >>>     mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True),
2025-08-26T19:47:01.3184920Z         >>> )
2025-08-26T19:47:01.3184920Z 
2025-08-26T19:47:01.3185050Z     The above shows a working example. On the other hand, if ``model[1]``
2025-08-26T19:47:01.3185180Z     were replaced with ``model[0]``, meaning that the submodule using
2025-08-26T19:47:01.3185310Z     different ``MixedPrecision`` ran its forward first, then ``model[1]``
2025-08-26T19:47:01.3185450Z     would incorrectly see ``float16`` activations instead of ``bfloat16``
2025-08-26T19:47:01.3185490Z     ones.
2025-08-26T19:47:01.3185490Z 
2025-08-26T19:47:01.3185500Z 
2025-08-26T19:47:01.3185660Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.3704190Z 
2025-08-26T19:47:01.3704800Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=295.
2025-08-26T19:47:01.3705010Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.3705010Z 
2025-08-26T19:47:01.3705140Z ``FullStateDictConfig`` is a config class meant to be used with
2025-08-26T19:47:01.3705270Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-08-26T19:47:01.3705410Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-08-26T19:47:01.3705550Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-08-26T19:47:01.3705680Z is meant to be used via the :func:`state_dict_type` context manager as
2025-08-26T19:47:01.3705730Z follows:
2025-08-26T19:47:01.3705730Z 
2025-08-26T19:47:01.3705820Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:01.3705970Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-26T19:47:01.3706050Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-08-26T19:47:01.3706180Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-08-26T19:47:01.3706320Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-08-26T19:47:01.3706390Z     >>>     state = fsdp.state_dict()
2025-08-26T19:47:01.3706530Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-08-26T19:47:01.3706680Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-08-26T19:47:01.3706830Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-08-26T19:47:01.3706890Z     >>> if dist.get_rank() == 0:
2025-08-26T19:47:01.3707010Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-08-26T19:47:01.3707100Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-08-26T19:47:01.3707180Z     >>>     model.load_state_dict(state_dict)
2025-08-26T19:47:01.3707330Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-08-26T19:47:01.3707490Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-08-26T19:47:01.3707540Z     >>> fsdp = FSDP(
2025-08-26T19:47:01.3707590Z     ...     model,
2025-08-26T19:47:01.3707680Z     ...     device_id=torch.cuda.current_device(),
2025-08-26T19:47:01.3707740Z     ...     auto_wrap_policy=...,
2025-08-26T19:47:01.3707810Z     ...     sync_module_states=True,
2025-08-26T19:47:01.3707850Z     ... )
2025-08-26T19:47:01.3708130Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-08-26T19:47:01.3708130Z 
2025-08-26T19:47:01.3708190Z Attributes:
2025-08-26T19:47:01.3708380Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-08-26T19:47:01.3708510Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-08-26T19:47:01.3708610Z         ranks save the full state dict. (Default: ``False``)
2025-08-26T19:47:01.3708620Z 
2025-08-26T19:47:01.3708770Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.3708780Z 
2025-08-26T19:47:01.3709260Z msg = Cannot scrape callname=init_from_local_shards in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361.
2025-08-26T19:47:01.3709420Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.3709420Z 
2025-08-26T19:47:01.3709580Z Creates an :class:`ShardedTensor` from local shards and the global metadata.
2025-08-26T19:47:01.3709670Z Needs to be called on all ranks in an SPMD fashion.
2025-08-26T19:47:01.3709670Z 
2025-08-26T19:47:01.3709720Z Args:
2025-08-26T19:47:01.3709900Z     local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list
2025-08-26T19:47:01.3710130Z         of shards that represent the local shards on this rank.
2025-08-26T19:47:01.3710270Z     global_size (int...):  a list, tuple, or `torch.Size` of integers defining the
2025-08-26T19:47:01.3710340Z         shape of the overall sharded tensor.
2025-08-26T19:47:01.3710340Z 
2025-08-26T19:47:01.3710380Z Keyword args:
2025-08-26T19:47:01.3710540Z     process_group (ProcessGroup, optional): The process group to work on. If None,
2025-08-26T19:47:01.3710620Z         the default process group will be used.
2025-08-26T19:47:01.3710720Z     init_rrefs (bool, optional): Whether or not to initialize
2025-08-26T19:47:01.3710850Z         :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-08-26T19:47:01.3710970Z         Need to initialize the RPC Framework if specified as ``True``.
2025-08-26T19:47:01.3711030Z         Default: ``False``.
2025-08-26T19:47:01.3711030Z 
2025-08-26T19:47:01.3711070Z Returns:
2025-08-26T19:47:01.3711170Z     A :class:`ShardedTensor` object handle on this rank
2025-08-26T19:47:01.3711170Z 
2025-08-26T19:47:01.3711170Z 
2025-08-26T19:47:01.3711210Z Examples:
2025-08-26T19:47:01.3711370Z     Suppose we want construct a sharded tensor on two ranks, global size = (10, 5),
2025-08-26T19:47:01.3711480Z     each shard have a (5, 5) local tensor, we can do it like below:
2025-08-26T19:47:01.3711480Z 
2025-08-26T19:47:01.3711530Z     on rank 0:
2025-08-26T19:47:01.3711600Z     >>> # xdoctest: +SKIP("not distributed")
2025-08-26T19:47:01.3711670Z     >>> local_shard_metadata = ShardMetadata(
2025-08-26T19:47:01.3711730Z     >>>     shard_offsets=[0, 0],
2025-08-26T19:47:01.3711790Z     >>>     shard_lengths=[5, 5],
2025-08-26T19:47:01.3711850Z     >>>     placement="rank:0/cuda:0"
2025-08-26T19:47:01.3711890Z     >>> )
2025-08-26T19:47:01.3712010Z     >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-08-26T19:47:01.3712140Z     >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-08-26T19:47:01.3712140Z 
2025-08-26T19:47:01.3712180Z     on rank 1:
2025-08-26T19:47:01.3712260Z     >>> # xdoctest: +SKIP("not distributed")
2025-08-26T19:47:01.3712330Z     >>> local_shard_metadata = ShardMetadata(
2025-08-26T19:47:01.3712390Z     >>>     shard_offsets=[5, 0],
2025-08-26T19:47:01.3712440Z     >>>     shard_lengths=[5, 5],
2025-08-26T19:47:01.3712500Z     >>>     placement="rank:1/cuda:1"
2025-08-26T19:47:01.3712540Z     >>> )
2025-08-26T19:47:01.3712660Z     >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-08-26T19:47:01.3712790Z     >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-08-26T19:47:01.3712790Z 
2025-08-26T19:47:01.3712990Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.3713000Z 
2025-08-26T19:47:01.3713500Z msg = Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835.
2025-08-26T19:47:01.3713690Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.3713690Z 
2025-08-26T19:47:01.3713850Z Initialize a ShardedTensor given only one local tensor, global sharded tensor
2025-08-26T19:47:01.3713910Z size and sharding spec on each rank.
2025-08-26T19:47:01.3713920Z 
2025-08-26T19:47:01.3713960Z Args:
2025-08-26T19:47:01.3714100Z     local_tensor (Tensor): Single tensor of local shard stored in each rank.
2025-08-26T19:47:01.3714260Z     sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`):
2025-08-26T19:47:01.3714360Z         The specification describing how to shard the Tensor.
2025-08-26T19:47:01.3714470Z     global_size (Sequence[int]): Size of the sharded tensor.
2025-08-26T19:47:01.3714620Z     process_group (ProcessGroup, optional): The process group to aggregate on.
2025-08-26T19:47:01.3714670Z         Default: None
2025-08-26T19:47:01.3714840Z     init_rrefs (bool, optional): Whether or not to initialize
2025-08-26T19:47:01.3714970Z         :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-08-26T19:47:01.3715090Z         Need to initialize the RPC Framework if specified as ``True``.
2025-08-26T19:47:01.3715150Z         Default: ``False``.
2025-08-26T19:47:01.3715150Z 
2025-08-26T19:47:01.3715190Z Returns:
2025-08-26T19:47:01.3715340Z     A :class:`ShardedTensor` sharded based on the given sharding_spec with local
2025-08-26T19:47:01.3715410Z         tensor stored in the current rank.
2025-08-26T19:47:01.3715410Z 
2025-08-26T19:47:01.3715450Z Examples:
2025-08-26T19:47:01.3715510Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:01.3715590Z     >>> # All tensors below are of torch.int64 type.
2025-08-26T19:47:01.3715660Z     >>> # We have 2 process groups, 2 ranks.
2025-08-26T19:47:01.3715770Z     >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank
2025-08-26T19:47:01.3715900Z     >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2]))
2025-08-26T19:47:01.3715950Z     >>> local_tensor
2025-08-26T19:47:01.3716000Z     tensor([[1, 2, 3, 4]]) # Rank 0
2025-08-26T19:47:01.3716060Z     tensor([[3, 4, 5, 6]]) # Rank 1
2025-08-26T19:47:01.3716110Z     >>> sharding_dim = 0
2025-08-26T19:47:01.3716180Z     >>> sharding_spec = ChunkShardingSpec(
2025-08-26T19:47:01.3716230Z             dim=sharding_dim,
2025-08-26T19:47:01.3716280Z             placements=[
2025-08-26T19:47:01.3716340Z                 "rank:0/cuda:0",
2025-08-26T19:47:01.3716390Z                 "rank:1/cuda:1",
2025-08-26T19:47:01.3716440Z             ],
2025-08-26T19:47:01.3716480Z         )
2025-08-26T19:47:01.3716570Z     >>> st = ShardedTensor._init_from_local_tensor(
2025-08-26T19:47:01.3716640Z     ...     local_tensor, sharding_spec, [2, 4]
2025-08-26T19:47:01.3716680Z     ... )
2025-08-26T19:47:01.3716730Z     >>> st
2025-08-26T19:47:01.3716780Z     ShardedTensor(
2025-08-26T19:47:01.3716840Z         ShardedTensorMetadata(
2025-08-26T19:47:01.3716890Z             shards_metadata=[
2025-08-26T19:47:01.3717070Z                 ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0),
2025-08-26T19:47:01.3717230Z                 ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1),
2025-08-26T19:47:01.3717280Z             ],
2025-08-26T19:47:01.3717340Z             size=torch.Size([2, 4])
2025-08-26T19:47:01.3717380Z     )
2025-08-26T19:47:01.3717440Z     >>> st.local_tensor()
2025-08-26T19:47:01.3717490Z     tensor([1, 2, 3, 4]) # Rank 0
2025-08-26T19:47:01.3717540Z     tensor([3, 4, 5, 6]) # Rank 1
2025-08-26T19:47:01.3717550Z 
2025-08-26T19:47:01.3717770Z Warning: This API is experimental and subject to change. It lacks of a fully across
2025-08-26T19:47:01.3717920Z          rank validations, and we only validate the local shard on the current rank.
2025-08-26T19:47:01.3718060Z          We fully rely on the user to ensure local tensor is sharded based on the
2025-08-26T19:47:01.3718140Z          sharding spec.
2025-08-26T19:47:01.3718140Z 
2025-08-26T19:47:01.3718300Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.3718300Z 
2025-08-26T19:47:01.3718770Z msg = Cannot scrape callname=ShardedTensor.reshard in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076.
2025-08-26T19:47:01.3718930Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.3718930Z 
2025-08-26T19:47:01.3719100Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support
2025-08-26T19:47:01.3719140Z single local shard.
2025-08-26T19:47:01.3719150Z 
2025-08-26T19:47:01.3719290Z If ``resharding_spec`` is same as the original one, this becomes a no-op.
2025-08-26T19:47:01.3719440Z If only ``resharding_spec`` shares the same sharding dim with the original one,
2025-08-26T19:47:01.3719500Z we swap local shards directly.
2025-08-26T19:47:01.3719720Z For more generic cases, we merge different shards across different ranks and split
2025-08-26T19:47:01.3719890Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API.
2025-08-26T19:47:01.3719890Z 
2025-08-26T19:47:01.3719930Z Args:
2025-08-26T19:47:01.3720110Z     resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The
2025-08-26T19:47:01.3720210Z         specification describing how the tensor is sharded.
2025-08-26T19:47:01.3720220Z 
2025-08-26T19:47:01.3720260Z Returns:
2025-08-26T19:47:01.3720390Z     A :class:`ShardedTensor` object whose local shards are resharded.
2025-08-26T19:47:01.3720390Z 
2025-08-26T19:47:01.3720440Z Examples:
2025-08-26T19:47:01.3720490Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:01.3720560Z     >>> # We have 2 process groups, 2 ranks.
2025-08-26T19:47:01.3720670Z     >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank
2025-08-26T19:47:01.3720740Z     >>> tensor = torch.stack([tensor, tensor])
2025-08-26T19:47:01.3720790Z     >>> tensor
2025-08-26T19:47:01.3720860Z     tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0
2025-08-26T19:47:01.3720930Z     tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1
2025-08-26T19:47:01.3721000Z     tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2
2025-08-26T19:47:01.3721070Z     tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3
2025-08-26T19:47:01.3721130Z     >>> sharding_dim = 0
2025-08-26T19:47:01.3721190Z     >>> spec = ChunkShardingSpec(
2025-08-26T19:47:01.3721240Z             dim=sharding_dim,
2025-08-26T19:47:01.3721300Z             placements=[
2025-08-26T19:47:01.3721350Z                 "rank:0/cuda:0",
2025-08-26T19:47:01.3721400Z                 "rank:1/cuda:1",
2025-08-26T19:47:01.3721460Z                 "rank:2/cuda:2",
2025-08-26T19:47:01.3721510Z                 "rank:3/cuda:3",
2025-08-26T19:47:01.3721560Z             ],
2025-08-26T19:47:01.3721600Z         )
2025-08-26T19:47:01.3721650Z     >>> current_offsets = [0] * 2
2025-08-26T19:47:01.3721710Z     >>> current_offsets[0] = rank * 2
2025-08-26T19:47:01.3721780Z     >>> shard_metadata = ShardMetadata(
2025-08-26T19:47:01.3721870Z             shard_offsets=copy.deepcopy(current_offsets),
2025-08-26T19:47:01.3721930Z             shard_sizes=tensor.size(),
2025-08-26T19:47:01.3722000Z             placement=spec.placements[rank],
2025-08-26T19:47:01.3722050Z         )
2025-08-26T19:47:01.3722100Z     >>> local_shards = [
2025-08-26T19:47:01.3722140Z             Shard(
2025-08-26T19:47:01.3722190Z                 tensor=tensor,
2025-08-26T19:47:01.3722260Z                 metadata=shard_metadata,
2025-08-26T19:47:01.3722300Z             )
2025-08-26T19:47:01.3722340Z         ]
2025-08-26T19:47:01.3722520Z     >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size())
2025-08-26T19:47:01.3722570Z     >>> sharding_dim = 1
2025-08-26T19:47:01.3722650Z     >>> resharding_spec = ChunkShardingSpec(
2025-08-26T19:47:01.3722730Z             dim=sharding_dim,
2025-08-26T19:47:01.3722780Z             placements=[
2025-08-26T19:47:01.3722840Z                 "rank:0/cuda:0",
2025-08-26T19:47:01.3722900Z                 "rank:1/cuda:1",
2025-08-26T19:47:01.3722950Z                 "rank:2/cuda:2",
2025-08-26T19:47:01.3723000Z                 "rank:3/cuda:3",
2025-08-26T19:47:01.3723040Z             ],
2025-08-26T19:47:01.3723080Z         )
2025-08-26T19:47:01.3723140Z     >>> st.reshard(resharding_spec)
2025-08-26T19:47:01.3723210Z     >>> tensor = st.local_shards()[0].tensor
2025-08-26T19:47:01.3723260Z     >>> tensor
2025-08-26T19:47:01.3723350Z     tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0
2025-08-26T19:47:01.3723430Z     tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1
2025-08-26T19:47:01.3723520Z     tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2
2025-08-26T19:47:01.3723600Z     tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3
2025-08-26T19:47:01.3723610Z 
2025-08-26T19:47:01.3723760Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.3776650Z 
2025-08-26T19:47:01.3777340Z msg = Cannot scrape callname=ShardingPlan in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12.
2025-08-26T19:47:01.3777540Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.3777550Z 
2025-08-26T19:47:01.3777690Z Representation of a sharding plan, describes how to shard a module
2025-08-26T19:47:01.3777870Z across hosts. `plan` is used to shard module parameters according to the spec provided,
2025-08-26T19:47:01.3778050Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output
2025-08-26T19:47:01.3778230Z layout of a module with a spec, and when to convert back to data parallel fashion.
2025-08-26T19:47:01.3778230Z 
2025-08-26T19:47:01.3778280Z Args:
2025-08-26T19:47:01.3778450Z     plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`,
2025-08-26T19:47:01.3778560Z           :class:`torch.distributed._shard.sharder.Sharder`]):
2025-08-26T19:47:01.3778740Z         a dict describes how to shard a module, there're currently two ways to shard a module:
2025-08-26T19:47:01.3778900Z             1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of
2025-08-26T19:47:01.3778980Z                a parameter to a `ShardingSpec`.
2025-08-26T19:47:01.3779140Z             2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module
2025-08-26T19:47:01.3779210Z                to a `Sharder` object.
2025-08-26T19:47:01.3779410Z     output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional):
2025-08-26T19:47:01.3779590Z         a dict specifies the layout of a module's output which produces a ShardedTensor,
2025-08-26T19:47:01.3779730Z         keyed by the name of module to ShardingSpec("" in key means the root module).
2025-08-26T19:47:01.3779800Z         Default: `None`
2025-08-26T19:47:01.3779950Z     return_local_tensor (List[str], optional): a list of string, each element enables
2025-08-26T19:47:01.3780110Z         a module's sharded output to be returned as a Tensor from its local shards to
2025-08-26T19:47:01.3780270Z         ensure further processing in a data parallel fashion. ("" in list means the
2025-08-26T19:47:01.3780320Z         root module).
2025-08-26T19:47:01.3780360Z         Default: None
2025-08-26T19:47:01.3780410Z Example:
2025-08-26T19:47:01.3780590Z   Suppose we want to shard a module with two linear layers and then run it with DDP, we also
2025-08-26T19:47:01.3780760Z   want to convert the output of the second linear layer back to DDP, we can do it as follows:
2025-08-26T19:47:01.3780970Z 
2025-08-26T19:47:01.3781090Z     >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d)
2025-08-26T19:47:01.3781150Z     >>> class MyModule(nn.Module):
2025-08-26T19:47:01.3781260Z     >>>     def __init__(self) -> None:
2025-08-26T19:47:01.3781320Z     >>>        super().__init__()
2025-08-26T19:47:01.3781380Z     >>>        self.fc1 = nn.Linear()
2025-08-26T19:47:01.3781440Z     >>>        self.gelu = nn.GELU()
2025-08-26T19:47:01.3781500Z     >>>        self.fc2 = nn.Linear()
2025-08-26T19:47:01.3781560Z     >>>        self.relu = nn.Linear()
2025-08-26T19:47:01.3781600Z     >>>
2025-08-26T19:47:01.3781660Z     >>>     def forward(self, input):
2025-08-26T19:47:01.3781770Z     >>>         return self.relu(self.fc2(self.gelu(self.fc1(input))))
2025-08-26T19:47:01.3781780Z 
2025-08-26T19:47:01.3781780Z 
2025-08-26T19:47:01.3781860Z     >>> # xdoctest: +SKIP("Undefined spec1, spec2)
2025-08-26T19:47:01.3781920Z     >>> sharding_plan = ShardingPlan(
2025-08-26T19:47:01.3781970Z     >>>    plan={
2025-08-26T19:47:01.3782030Z     >>>        "fc1.weight": spec1,
2025-08-26T19:47:01.3782090Z     >>>        "fc2.weight": spec2
2025-08-26T19:47:01.3782130Z     >>>    },
2025-08-26T19:47:01.3782180Z     >>>    output_plan={
2025-08-26T19:47:01.3782240Z     >>>        "fc2": output_spec
2025-08-26T19:47:01.3782350Z     >>>    },
2025-08-26T19:47:01.3782420Z     >>>    return_local_tensor=["fc2"]
2025-08-26T19:47:01.3782460Z     >>> )
2025-08-26T19:47:01.3782460Z 
2025-08-26T19:47:01.3782620Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.3782620Z 
2025-08-26T19:47:01.3783130Z msg = Cannot scrape callname=register_sharding in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=25.
2025-08-26T19:47:01.3783300Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.3783300Z 
2025-08-26T19:47:01.3783480Z :meth:`register_sharding` is an experimental API that allows users to register sharding
2025-08-26T19:47:01.3783630Z strategies for an operator when the tensor inputs and outputs are DTensor.
2025-08-26T19:47:01.3783800Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``,
2025-08-26T19:47:01.3783960Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2)
2025-08-26T19:47:01.3784130Z when users would like to overwrite default sharding strategies of existing operators.
2025-08-26T19:47:01.3784130Z 
2025-08-26T19:47:01.3784170Z Args:
2025-08-26T19:47:01.3784250Z     op (Union[OpOverload, List[OpOverload]]):
2025-08-26T19:47:01.3784380Z         An op or a list of ops to register the customized sharding function.
2025-08-26T19:47:01.3784380Z 
2025-08-26T19:47:01.3784430Z Returns:
2025-08-26T19:47:01.3784600Z     A function decorator which can be used to wrap a function that defines the sharding
2025-08-26T19:47:01.3784770Z     strategy for the operator specified in ``op``. The defined sharding strategy will be
2025-08-26T19:47:01.3784940Z     registered to DTensor and will override the default sharding strategy if DTensor has
2025-08-26T19:47:01.3785150Z     already implemented the operator. The customized sharding function takes the same inputs
2025-08-26T19:47:01.3785300Z     as the original op (except that if an arg is a :class:`torch.Tensor`, it will be
2025-08-26T19:47:01.3785480Z     replaced by a tensor-like object that DTensor uses internally). The function should
2025-08-26T19:47:01.3785650Z     return a sequence of 2-tuples, each specifying acceptable output placements and its
2025-08-26T19:47:01.3785730Z     corresponding input placements.
2025-08-26T19:47:01.3785730Z 
2025-08-26T19:47:01.3785770Z Example:
2025-08-26T19:47:01.3785840Z     >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:01.3785920Z     >>> @register_sharding(aten._softmax.default)
2025-08-26T19:47:01.3786020Z     >>> def custom_softmax_sharding(x, dim, half_to_float):
2025-08-26T19:47:01.3786160Z     >>>     softmax_dim = dim if dim >= 0 else dim + x.ndim
2025-08-26T19:47:01.3786230Z     >>>     acceptable_shardings = []
2025-08-26T19:47:01.3786280Z     >>>
2025-08-26T19:47:01.3786420Z     >>>     all_replicate = ([Replicate()], [Replicate(), None, None])
2025-08-26T19:47:01.3786520Z     >>>     acceptable_shardings.append(all_replicate)
2025-08-26T19:47:01.3786560Z     >>>
2025-08-26T19:47:01.3786640Z     >>>     for sharding_dim in range(x.ndim):
2025-08-26T19:47:01.3786710Z     >>>         if sharding_dim != softmax_dim:
2025-08-26T19:47:01.3786770Z     >>>             all_sharded = (
2025-08-26T19:47:01.3786840Z     >>>                 [Shard(sharding_dim)],
2025-08-26T19:47:01.3786920Z     >>>                 [Shard(sharding_dim), None, None],
2025-08-26T19:47:01.3786970Z     >>>             )
2025-08-26T19:47:01.3787060Z     >>>             acceptable_shardings.append(all_sharded)
2025-08-26T19:47:01.3787100Z     >>>
2025-08-26T19:47:01.3787170Z     >>>     return acceptable_shardings
2025-08-26T19:47:01.3787170Z 
2025-08-26T19:47:01.3787300Z .. note:: This API is currently experimental and subject to change
2025-08-26T19:47:01.3787300Z 
2025-08-26T19:47:01.3787460Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.3787470Z 
2025-08-26T19:47:01.3787990Z msg = Cannot scrape callname=local_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_func_map.py line=35.
2025-08-26T19:47:01.3788160Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.3788160Z 
2025-08-26T19:47:01.3788330Z :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s
2025-08-26T19:47:01.3788500Z to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting
2025-08-26T19:47:01.3788670Z the local components of :class:`DTensor`, call the function, and wrap the outputs to
2025-08-26T19:47:01.3788780Z :class:`DTensor` according to the ``out_placements``.
2025-08-26T19:47:01.3788780Z 
2025-08-26T19:47:01.3788830Z Args:
2025-08-26T19:47:01.3788960Z     func (Callable): the function to be applied on each local shard of
2025-08-26T19:47:01.3789020Z         :class:`DTensor` s.
2025-08-26T19:47:01.3789160Z     out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]):
2025-08-26T19:47:01.3789330Z         the desired placements of the :class:`DTensor` s in ``func``'s flattened output.
2025-08-26T19:47:01.3789480Z         If the flattened ``output`` is a single value, the ``out_placements`` should be
2025-08-26T19:47:01.3789630Z         of type `PlacementType`. Otherwise if the flattened ``output`` has multiple
2025-08-26T19:47:01.3789790Z         values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1
2025-08-26T19:47:01.3789860Z         mapping to the flattened ``output``.
2025-08-26T19:47:01.3789990Z         Besides, for :class:`Tensor` output, we use `PlacementType` as its
2025-08-26T19:47:01.3790170Z         placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType`
2025-08-26T19:47:01.3790220Z         should be `None`.
2025-08-26T19:47:01.3790380Z         Note that the only exception is when no :class:`DTensor` argument is passed
2025-08-26T19:47:01.3790520Z         in. In this case, even if `out_placements` is not `None`, the result function
2025-08-26T19:47:01.3790680Z         should ignore the desired placements because the function is not running with
2025-08-26T19:47:01.3790740Z         :class:`DTensor` s.
2025-08-26T19:47:01.3790840Z     in_placements (Tuple[`PlacementType`, ...], optional):
2025-08-26T19:47:01.3791010Z         the required placements of the :class:`DTensor` s in the flattened inputs of ``func``.
2025-08-26T19:47:01.3791170Z         If ``in_placements`` is specified, :meth:`local_map` would examine whether the
2025-08-26T19:47:01.3791350Z         placements of each :class:`DTensor` argument is the same as the required
2025-08-26T19:47:01.3791480Z         placements or not. If the placements are not the same and
2025-08-26T19:47:01.3791630Z         ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if
2025-08-26T19:47:01.3791800Z         ``redistribute_inputs`` is ``True``, the argument will be first redistributed to
2025-08-26T19:47:01.3791960Z         the required sharding placements before passing its local tensor to ``func``.
2025-08-26T19:47:01.3792090Z         The only exception is when required placements are not ``None`` and the
2025-08-26T19:47:01.3792240Z         argument is a :class:`torch.Tensor`. In this case, the placements examination
2025-08-26T19:47:01.3792370Z         will be skipped and the argument will be directly passed to ``func``.
2025-08-26T19:47:01.3792510Z         If ``in_placements`` is ``None``, no placements examination will be performed.
2025-08-26T19:47:01.3792560Z         Default: None
2025-08-26T19:47:01.3792670Z     in_grad_placements (Tuple[`PlacementType`, ...], optional):
2025-08-26T19:47:01.3792800Z         the placements hint of the :class:`DTensor` s gradient corresponds
2025-08-26T19:47:01.3792930Z         to the flattened input DTensor. This argument is the hint that user
2025-08-26T19:47:01.3793040Z         can give to :meth:`to_local` in case the gradient layout of the
2025-08-26T19:47:01.3793240Z         local tensor input does not match its :class:`DTensor` input layout.
2025-08-26T19:47:01.3793360Z         If not specified, we will assume the gradient layout of the local
2025-08-26T19:47:01.3793500Z         tensor input remains the same as the original :class:`DTensor` input
2025-08-26T19:47:01.3793600Z         and use that for gradient computation. Default: None.
2025-08-26T19:47:01.3793690Z     device_mesh (:class:`DeviceMesh`, optional):
2025-08-26T19:47:01.3793820Z         the device mesh that the output :class:`DTensor` s are placed on. If not
2025-08-26T19:47:01.3793980Z         specified, this will be inferred from the first input :class:`DTensor`'s device
2025-08-26T19:47:01.3794040Z         mesh. Default: None.
2025-08-26T19:47:01.3794040Z 
2025-08-26T19:47:01.3794080Z Keyword Args:
2025-08-26T19:47:01.3794160Z     redistribute_inputs (bool, optional):
2025-08-26T19:47:01.3794310Z         the bool value indicating whether to reshard the input :class:`DTensor` s when
2025-08-26T19:47:01.3794460Z         their placements are different from the required input placements. If this
2025-08-26T19:47:01.3794600Z         value is ``False`` and some :class:`DTensor` input has a different placement,
2025-08-26T19:47:01.3794690Z         an exception will be raised. Default: False.
2025-08-26T19:47:01.3794690Z 
2025-08-26T19:47:01.3794730Z Returns:
2025-08-26T19:47:01.3794890Z     A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor`
2025-08-26T19:47:01.3795040Z     and returns a :class:`DTensor` constructed from the return value of ``func``.
2025-08-26T19:47:01.3795040Z 
2025-08-26T19:47:01.3795090Z Raises:
2025-08-26T19:47:01.3795230Z     AssertionError: For any non-DTensor output, we require its corresponding
2025-08-26T19:47:01.3795390Z         output placement in ``out_placements`` be None. An AssertionError will be raised
2025-08-26T19:47:01.3795450Z         if this is not the case.
2025-08-26T19:47:01.3795460Z 
2025-08-26T19:47:01.3795620Z     ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs
2025-08-26T19:47:01.3795710Z         a redistribution according to ``in_placements``.
2025-08-26T19:47:01.3795710Z 
2025-08-26T19:47:01.3795760Z Example:
2025-08-26T19:47:01.3795830Z     >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:01.3795910Z     >>> def mm_allreduce_forward(device_mesh, W, X):
2025-08-26T19:47:01.3795990Z     >>>     partial_sum_tensor = torch.mm(W, X)
2025-08-26T19:47:01.3796140Z     >>>     reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh)
2025-08-26T19:47:01.3796190Z     >>>     return reduced_tensor
2025-08-26T19:47:01.3796230Z     >>>
2025-08-26T19:47:01.3796350Z     >>> W = torch.randn(12, 8, requires_grad=False)
2025-08-26T19:47:01.3796420Z     >>> X = torch.randn(8, 16, requires_grad=False)
2025-08-26T19:47:01.3796480Z     >>> Y = torch.mm(W, X)
2025-08-26T19:47:01.3796620Z     >>> row_wise = [Shard(0)]  # row-wise sharding placements on 1-d mesh
2025-08-26T19:47:01.3796750Z     >>> col_wise = [Shard(1)]  # col-wise sharding placements on 1-d mesh
2025-08-26T19:47:01.3796800Z     >>>
2025-08-26T19:47:01.3796970Z     >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor conversion
2025-08-26T19:47:01.3797040Z     >>> local_mm_allreduce_forward = local_map(
2025-08-26T19:47:01.3797110Z     >>>     mm_allreduce_forward,
2025-08-26T19:47:01.3797170Z     >>>     out_placements=[Replicate()],
2025-08-26T19:47:01.3797250Z     >>>     in_placements=[col_wise, row_wise],
2025-08-26T19:47:01.3797300Z     >>>     device_mesh=device_mesh,
2025-08-26T19:47:01.3797350Z     >>> )
2025-08-26T19:47:01.3797390Z     >>>
2025-08-26T19:47:01.3797450Z     >>> W_dt = distribute_tensor(
2025-08-26T19:47:01.3797510Z     ...     W, device_mesh, (col_wise)
2025-08-26T19:47:01.3797570Z     ... )  # col-wisely sharded W tensor
2025-08-26T19:47:01.3797630Z     >>> X_dt = distribute_tensor(
2025-08-26T19:47:01.3797690Z     ...     X, device_mesh, (row_wise)
2025-08-26T19:47:01.3797820Z     ... )  # row-wisely sharded X tensor
2025-08-26T19:47:01.3797890Z     >>> Y_dt = local_mm_allreduce_forward(
2025-08-26T19:47:01.3797950Z     ...     device_mesh, W_dt, X_dt
2025-08-26T19:47:01.3798040Z     ... )  # apply local_mm_allreduce_forward to DTensors
2025-08-26T19:47:01.3798040Z 
2025-08-26T19:47:01.3798160Z .. note:: This API is currently experimental and subject to change
2025-08-26T19:47:01.3798160Z 
2025-08-26T19:47:01.3798320Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.4135900Z 
2025-08-26T19:47:01.4136570Z msg = Cannot scrape callname=PrepareModuleInput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=428.
2025-08-26T19:47:01.4137300Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.4137540Z 
2025-08-26T19:47:01.4137780Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to
2025-08-26T19:47:01.4138280Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``.
2025-08-26T19:47:01.4138550Z 
2025-08-26T19:47:01.4138600Z Keyword Args:
2025-08-26T19:47:01.4138810Z     input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-26T19:47:01.4139210Z         The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-08-26T19:47:01.4139720Z         DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-08-26T19:47:01.4140080Z         as a placeholder. default: None.
2025-08-26T19:47:01.4140370Z     desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-26T19:47:01.4140820Z         The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-26T19:47:01.4141370Z         have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-08-26T19:47:01.4141770Z     input_kwarg_layouts (Dict[str, Placement]):
2025-08-26T19:47:01.4142150Z         The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-08-26T19:47:01.4142490Z         default: None
2025-08-26T19:47:01.4142680Z     desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-08-26T19:47:01.4143060Z         The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-26T19:47:01.4143430Z         have the desired DTensor layouts. default: None.
2025-08-26T19:47:01.4143800Z     use_local_output (bool, optional):
2025-08-26T19:47:01.4144160Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-08-26T19:47:01.4144560Z Returns:
2025-08-26T19:47:01.4144820Z     A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs.
2025-08-26T19:47:01.4145080Z 
2025-08-26T19:47:01.4145140Z Example::
2025-08-26T19:47:01.4145270Z     >>> # xdoctest: +SKIP(failing)
2025-08-26T19:47:01.4145570Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput
2025-08-26T19:47:01.4145940Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-08-26T19:47:01.4146170Z     >>> ...
2025-08-26T19:47:01.4146430Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-08-26T19:47:01.4146750Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-08-26T19:47:01.4146940Z     >>>
2025-08-26T19:47:01.4147210Z     >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor
2025-08-26T19:47:01.4147560Z     >>> # and then redistributed to Replicated DTensor.
2025-08-26T19:47:01.4147780Z     >>> parallelize_module(
2025-08-26T19:47:01.4147960Z     >>>     block, # this can be a submodule or module
2025-08-26T19:47:01.4148270Z     >>>     tp_mesh,
2025-08-26T19:47:01.4148420Z     >>>     parallelize_plan={
2025-08-26T19:47:01.4148600Z     >>>         "attn": PrepareModuleInput(
2025-08-26T19:47:01.4148820Z     >>>             input_layouts=(Shard(0), None, None, ...),
2025-08-26T19:47:01.4149070Z     >>>             desired_input_layouts=(Replicate(), None, None, ...)
2025-08-26T19:47:01.4149290Z     >>>         ),
2025-08-26T19:47:01.4149410Z     >>>     }
2025-08-26T19:47:01.4149530Z     >>> )
2025-08-26T19:47:01.4149590Z 
2025-08-26T19:47:01.4149750Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.4149960Z 
2025-08-26T19:47:01.4150420Z msg = Cannot scrape callname=PrepareModuleOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=597.
2025-08-26T19:47:01.4151090Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.4151310Z 
2025-08-26T19:47:01.4151550Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to
2025-08-26T19:47:01.4152040Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``.
2025-08-26T19:47:01.4152310Z 
2025-08-26T19:47:01.4152350Z Keyword Args:
2025-08-26T19:47:01.4152530Z     output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-26T19:47:01.4152890Z         The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-08-26T19:47:01.4153380Z         DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-08-26T19:47:01.4153760Z         ``None`` need to be specified as a placeholder.
2025-08-26T19:47:01.4154040Z     desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-26T19:47:01.4154450Z         The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-08-26T19:47:01.4154810Z         have the desired DTensor layouts.
2025-08-26T19:47:01.4155010Z     use_local_output (bool, optional):
2025-08-26T19:47:01.4155360Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-08-26T19:47:01.4155680Z Returns:
2025-08-26T19:47:01.4155930Z     A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs.
2025-08-26T19:47:01.4156190Z 
2025-08-26T19:47:01.4156240Z Example::
2025-08-26T19:47:01.4156370Z     >>> # xdoctest: +SKIP(failing)
2025-08-26T19:47:01.4156730Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput
2025-08-26T19:47:01.4157130Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-08-26T19:47:01.4157380Z     >>> ...
2025-08-26T19:47:01.4157640Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-08-26T19:47:01.4157980Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-08-26T19:47:01.4158160Z     >>>
2025-08-26T19:47:01.4158480Z     >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor
2025-08-26T19:47:01.4158880Z     >>> # and then redistributed to Sharded DTensor.
2025-08-26T19:47:01.4159090Z     >>> parallelize_module(
2025-08-26T19:47:01.4159270Z     >>>     block, # this can be a submodule or module
2025-08-26T19:47:01.4159460Z     >>>     tp_mesh,
2025-08-26T19:47:01.4159630Z     >>>     parallelize_plan = PrepareModuleOutput(
2025-08-26T19:47:01.4159850Z     >>>         output_layouts=Replicate(),
2025-08-26T19:47:01.4160050Z     >>>         desired_output_layouts=Shard(0)
2025-08-26T19:47:01.4160230Z     >>>     )
2025-08-26T19:47:01.4160340Z     >>> )
2025-08-26T19:47:01.4160410Z 
2025-08-26T19:47:01.4160560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.4160850Z 
2025-08-26T19:47:01.4161340Z msg = Cannot scrape callname=PrepareModuleInputOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=705.
2025-08-26T19:47:01.4162020Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.4162250Z 
2025-08-26T19:47:01.4162500Z Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module
2025-08-26T19:47:01.4163080Z to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution
2025-08-26T19:47:01.4163610Z according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of
2025-08-26T19:47:01.4164030Z :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`.
2025-08-26T19:47:01.4164230Z 
2025-08-26T19:47:01.4164280Z Keyword Args:
2025-08-26T19:47:01.4164480Z     input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-26T19:47:01.4164860Z         The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-08-26T19:47:01.4165340Z         DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-08-26T19:47:01.4165690Z         as a placeholder. default: None.
2025-08-26T19:47:01.4165950Z     desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-26T19:47:01.4166380Z         The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-26T19:47:01.4166900Z         have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-08-26T19:47:01.4167270Z     input_kwarg_layouts (Dict[str, Placement]):
2025-08-26T19:47:01.4167640Z         The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-08-26T19:47:01.4167980Z         default: None
2025-08-26T19:47:01.4168180Z     desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-08-26T19:47:01.4168560Z         The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-26T19:47:01.4168930Z         have the desired DTensor layouts. default: None.
2025-08-26T19:47:01.4169150Z     use_local_input (bool, optional):
2025-08-26T19:47:01.4169500Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-08-26T19:47:01.4169930Z     output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-26T19:47:01.4170300Z         The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-08-26T19:47:01.4170820Z         DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-08-26T19:47:01.4171200Z         ``None`` need to be specified as a placeholder.
2025-08-26T19:47:01.4171470Z     desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-26T19:47:01.4171880Z         The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-08-26T19:47:01.4172240Z         have the desired DTensor layouts.
2025-08-26T19:47:01.4172440Z     use_local_output (bool, optional):
2025-08-26T19:47:01.4172800Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-08-26T19:47:01.4173120Z Returns:
2025-08-26T19:47:01.4173410Z     A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs.
2025-08-26T19:47:01.4173690Z 
2025-08-26T19:47:01.4173740Z Example::
2025-08-26T19:47:01.4173870Z     >>> # xdoctest: +SKIP(failing)
2025-08-26T19:47:01.4174190Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput
2025-08-26T19:47:01.4174650Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-08-26T19:47:01.4174870Z     >>> ...
2025-08-26T19:47:01.4175130Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-08-26T19:47:01.4175450Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-08-26T19:47:01.4175630Z     >>>
2025-08-26T19:47:01.4175890Z     >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor
2025-08-26T19:47:01.4176370Z     >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated
2025-08-26T19:47:01.4176780Z     >>> # as Replicated DTensor and then redistributed to Sharded DTensor.
2025-08-26T19:47:01.4177030Z     >>> parallelize_module(
2025-08-26T19:47:01.4177220Z     >>>     block, # this can be a submodule or module
2025-08-26T19:47:01.4177410Z     >>>     tp_mesh,
2025-08-26T19:47:01.4177560Z     >>>     parallelize_plan={
2025-08-26T19:47:01.4177750Z     >>>         "attn": PrepareModuleInputOutput(
2025-08-26T19:47:01.4177980Z     >>>             input_layouts=(Shard(0), None, None, ...),
2025-08-26T19:47:01.4178240Z     >>>             desired_input_layouts=(Replicate(), None, None, ...),
2025-08-26T19:47:01.4178490Z     >>>             output_layouts=Replicate(),
2025-08-26T19:47:01.4178700Z     >>>             desired_output_layouts=Shard(0),
2025-08-26T19:47:01.4178890Z     >>>         ),
2025-08-26T19:47:01.4179010Z     >>>     }
2025-08-26T19:47:01.4179130Z     >>> )
2025-08-26T19:47:01.4179190Z 
2025-08-26T19:47:01.4179350Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.6535780Z 
2025-08-26T19:47:01.6536460Z msg = Cannot scrape callname=async_execution in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/rpc/functions.py line=6.
2025-08-26T19:47:01.6537170Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.6537410Z 
2025-08-26T19:47:01.6537570Z A decorator for a function indicating that the return value of the function
2025-08-26T19:47:01.6537920Z is guaranteed to be a :class:`~torch.futures.Future` object and this
2025-08-26T19:47:01.6538270Z function can run asynchronously on the RPC callee. More specifically, the
2025-08-26T19:47:01.6538630Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped
2025-08-26T19:47:01.6539000Z function and installs subsequent processing steps as a callback to that
2025-08-26T19:47:01.6539360Z :class:`~torch.futures.Future`. The installed callback will read the value
2025-08-26T19:47:01.6539870Z from the :class:`~torch.futures.Future` when completed and send the
2025-08-26T19:47:01.6540180Z value back as the RPC response. That also means the returned
2025-08-26T19:47:01.6540550Z :class:`~torch.futures.Future` only exists on the callee side and is never
2025-08-26T19:47:01.6540900Z sent through RPC. This decorator is useful when the wrapped function's
2025-08-26T19:47:01.6541230Z (``fn``) execution needs to pause and resume due to, e.g., containing
2025-08-26T19:47:01.6541550Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals.
2025-08-26T19:47:01.6541760Z 
2025-08-26T19:47:01.6541900Z .. note:: To enable asynchronous execution, applications must pass the
2025-08-26T19:47:01.6542230Z     function object returned by this decorator to RPC APIs. If RPC detected
2025-08-26T19:47:01.6542570Z     attributes installed by this decorator, it knows that this function
2025-08-26T19:47:01.6542890Z     returns a ``Future`` object and will handle that accordingly.
2025-08-26T19:47:01.6543190Z     However, this does not mean this decorator has to be outmost one when
2025-08-26T19:47:01.6543530Z     defining a function. For example, when combined with ``@staticmethod``
2025-08-26T19:47:01.6543870Z     or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the
2025-08-26T19:47:01.6544340Z     inner decorator to allow the target function be recognized as a static
2025-08-26T19:47:01.6544680Z     or class function. This target function can still execute asynchronously
2025-08-26T19:47:01.6545010Z     because, when accessed, the static or class method preserves attributes
2025-08-26T19:47:01.6545310Z     installed by ``@rpc.functions.async_execution``.
2025-08-26T19:47:01.6545470Z 
2025-08-26T19:47:01.6545470Z 
2025-08-26T19:47:01.6545520Z Example::
2025-08-26T19:47:01.6545710Z     The returned :class:`~torch.futures.Future` object can come from
2025-08-26T19:47:01.6545980Z     :meth:`~torch.distributed.rpc.rpc_async`,
2025-08-26T19:47:01.6546260Z     :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future`
2025-08-26T19:47:01.6546570Z     constructor. The example below shows directly using the
2025-08-26T19:47:01.6546820Z     :class:`~torch.futures.Future` returned by
2025-08-26T19:47:01.6547040Z     :meth:`~torch.futures.Future.then`.
2025-08-26T19:47:01.6547170Z 
2025-08-26T19:47:01.6547240Z     >>> from torch.distributed import rpc
2025-08-26T19:47:01.6547420Z     >>>
2025-08-26T19:47:01.6547540Z     >>> # omitting setup and shutdown RPC
2025-08-26T19:47:01.6547710Z     >>>
2025-08-26T19:47:01.6547830Z     >>> # On all workers
2025-08-26T19:47:01.6547990Z     >>> @rpc.functions.async_execution
2025-08-26T19:47:01.6548190Z     >>> def async_add_chained(to, x, y, z):
2025-08-26T19:47:01.6548440Z     >>>     # This function runs on "worker1" and returns immediately when
2025-08-26T19:47:01.6548740Z     >>>     # the callback is installed through the `then(cb)` API. In the
2025-08-26T19:47:01.6549040Z     >>>     # mean time, the `rpc_async` to "worker2" can run concurrently.
2025-08-26T19:47:01.6549320Z     >>>     # When the return value of that `rpc_async` arrives at
2025-08-26T19:47:01.6549600Z     >>>     # "worker1", "worker1" will run the lambda function accordingly
2025-08-26T19:47:01.6549900Z     >>>     # and set the value for the previously returned `Future`, which
2025-08-26T19:47:01.6550200Z     >>>     # will then trigger RPC to send the result back to "worker0".
2025-08-26T19:47:01.6550490Z     >>>     return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-26T19:47:01.6550720Z     >>>         lambda fut: fut.wait() + z
2025-08-26T19:47:01.6550890Z     >>>     )
2025-08-26T19:47:01.6551000Z     >>>
2025-08-26T19:47:01.6551110Z     >>> # On worker0
2025-08-26T19:47:01.6551250Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:01.6551400Z     >>> ret = rpc.rpc_sync(
2025-08-26T19:47:01.6551560Z     >>>     "worker1",
2025-08-26T19:47:01.6551700Z     >>>     async_add_chained,
2025-08-26T19:47:01.6551970Z     >>>     args=("worker2", torch.ones(2), 1, 1)
2025-08-26T19:47:01.6552160Z     >>> )
2025-08-26T19:47:01.6552300Z     >>> print(ret)  # prints tensor([3., 3.])
2025-08-26T19:47:01.6552430Z 
2025-08-26T19:47:01.6552570Z     When combined with TorchScript decorators, this decorator must be the
2025-08-26T19:47:01.6552860Z     outmost one.
2025-08-26T19:47:01.6552940Z 
2025-08-26T19:47:01.6553010Z     >>> from torch import Tensor
2025-08-26T19:47:01.6553190Z     >>> from torch.futures import Future
2025-08-26T19:47:01.6553390Z     >>> from torch.distributed import rpc
2025-08-26T19:47:01.6553560Z     >>>
2025-08-26T19:47:01.6553690Z     >>> # omitting setup and shutdown RPC
2025-08-26T19:47:01.6553860Z     >>>
2025-08-26T19:47:01.6553970Z     >>> # On all workers
2025-08-26T19:47:01.6554120Z     >>> @torch.jit.script
2025-08-26T19:47:01.6554310Z     >>> def script_add(x: Tensor, y: Tensor) -> Tensor:
2025-08-26T19:47:01.6554520Z     >>>     return x + y
2025-08-26T19:47:01.6554660Z     >>>
2025-08-26T19:47:01.6554790Z     >>> @rpc.functions.async_execution
2025-08-26T19:47:01.6554970Z     >>> @torch.jit.script
2025-08-26T19:47:01.6555190Z     >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]:
2025-08-26T19:47:01.6555470Z     >>>     return rpc.rpc_async(to, script_add, (x, y))
2025-08-26T19:47:01.6555670Z     >>>
2025-08-26T19:47:01.6555850Z     >>> # On worker0
2025-08-26T19:47:01.6556000Z     >>> ret = rpc.rpc_sync(
2025-08-26T19:47:01.6556160Z     >>>     "worker1",
2025-08-26T19:47:01.6556300Z     >>>     async_add,
2025-08-26T19:47:01.6556450Z     >>>     args=("worker2", torch.ones(2), 1)
2025-08-26T19:47:01.6556630Z     >>> )
2025-08-26T19:47:01.6556770Z     >>> print(ret)  # prints tensor([2., 2.])
2025-08-26T19:47:01.6556900Z 
2025-08-26T19:47:01.6557030Z     When combined with static or class method, this decorator must be the
2025-08-26T19:47:01.6557290Z     inner one.
2025-08-26T19:47:01.6557360Z 
2025-08-26T19:47:01.6557430Z     >>> from torch.distributed import rpc
2025-08-26T19:47:01.6557610Z     >>>
2025-08-26T19:47:01.6557730Z     >>> # omitting setup and shutdown RPC
2025-08-26T19:47:01.6557910Z     >>>
2025-08-26T19:47:01.6558030Z     >>> # On all workers
2025-08-26T19:47:01.6558180Z     >>> class AsyncExecutionClass:
2025-08-26T19:47:01.6558350Z     >>>
2025-08-26T19:47:01.6558460Z     >>>     @staticmethod
2025-08-26T19:47:01.6558630Z     >>>     @rpc.functions.async_execution
2025-08-26T19:47:01.6558830Z     >>>     def static_async_add(to, x, y, z):
2025-08-26T19:47:01.6559080Z     >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-26T19:47:01.6559320Z     >>>             lambda fut: fut.wait() + z
2025-08-26T19:47:01.6559500Z     >>>         )
2025-08-26T19:47:01.6559620Z     >>>
2025-08-26T19:47:01.6559730Z     >>>     @classmethod
2025-08-26T19:47:01.6559890Z     >>>     @rpc.functions.async_execution
2025-08-26T19:47:01.6560090Z     >>>     def class_async_add(cls, to, x, y, z):
2025-08-26T19:47:01.6560310Z     >>>         ret_fut = torch.futures.Future()
2025-08-26T19:47:01.6560550Z     >>>         rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-26T19:47:01.6560800Z     >>>             lambda fut: ret_fut.set_result(fut.wait() + z)
2025-08-26T19:47:01.6561010Z     >>>         )
2025-08-26T19:47:01.6561140Z     >>>         return ret_fut
2025-08-26T19:47:01.6561290Z     >>>
2025-08-26T19:47:01.6561420Z     >>>     @rpc.functions.async_execution
2025-08-26T19:47:01.6561630Z     >>>     def bound_async_add(self, to, x, y, z):
2025-08-26T19:47:01.6561880Z     >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-26T19:47:01.6562120Z     >>>             lambda fut: fut.wait() + z
2025-08-26T19:47:01.6562300Z     >>>         )
2025-08-26T19:47:01.6562410Z     >>>
2025-08-26T19:47:01.6562520Z     >>> # On worker0
2025-08-26T19:47:01.6562660Z     >>> ret = rpc.rpc_sync(
2025-08-26T19:47:01.6562810Z     >>>     "worker1",
2025-08-26T19:47:01.6562970Z     >>>     AsyncExecutionClass.static_async_add,
2025-08-26T19:47:01.6563250Z     >>>     args=("worker2", torch.ones(2), 1, 2)
2025-08-26T19:47:01.6563440Z     >>> )
2025-08-26T19:47:01.6563570Z     >>> print(ret)  # prints tensor([4., 4.])
2025-08-26T19:47:01.6573550Z     >>>
2025-08-26T19:47:01.6573780Z     >>> ret = rpc.rpc_sync(
2025-08-26T19:47:01.6573940Z     >>>     "worker1",
2025-08-26T19:47:01.6574110Z     >>>     AsyncExecutionClass.class_async_add,
2025-08-26T19:47:01.6574330Z     >>>     args=("worker2", torch.ones(2), 1, 2)
2025-08-26T19:47:01.6574520Z     >>> )
2025-08-26T19:47:01.6574650Z     >>> print(ret)  # prints tensor([4., 4.])
2025-08-26T19:47:01.6574790Z 
2025-08-26T19:47:01.6574890Z     This decorator also works with RRef helpers, i.e., .
2025-08-26T19:47:01.6575140Z     :meth:`torch.distributed.rpc.RRef.rpc_sync`,
2025-08-26T19:47:01.6575390Z     :meth:`torch.distributed.rpc.RRef.rpc_async`, and
2025-08-26T19:47:01.6575630Z     :meth:`torch.distributed.rpc.RRef.remote`.
2025-08-26T19:47:01.6575780Z 
2025-08-26T19:47:01.6575850Z     >>> from torch.distributed import rpc
2025-08-26T19:47:01.6576030Z     >>>
2025-08-26T19:47:01.6576170Z     >>> # reuse the AsyncExecutionClass class above
2025-08-26T19:47:01.6576420Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-08-26T19:47:01.6576710Z     >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2)
2025-08-26T19:47:01.6577070Z     >>> print(ret)  # prints tensor([4., 4.])
2025-08-26T19:47:01.6577250Z     >>>
2025-08-26T19:47:01.6577410Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-08-26T19:47:01.6577710Z     >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait()
2025-08-26T19:47:01.6577990Z     >>> print(ret)  # prints tensor([4., 4.])
2025-08-26T19:47:01.6578160Z     >>>
2025-08-26T19:47:01.6578310Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-08-26T19:47:01.6578600Z     >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here()
2025-08-26T19:47:01.6578880Z     >>> print(ret)  # prints tensor([4., 4.])
2025-08-26T19:47:01.6579020Z 
2025-08-26T19:47:01.6579170Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.6579390Z 
2025-08-26T19:47:01.6579880Z msg = Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/rpc/options.py line=113.
2025-08-26T19:47:01.6580570Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.6580800Z 
2025-08-26T19:47:01.6580920Z Set device mapping between each RPC caller and callee pair. This
2025-08-26T19:47:01.6581220Z function can be called multiple times to incrementally add
2025-08-26T19:47:01.6581460Z device placement configurations.
2025-08-26T19:47:01.6581580Z 
2025-08-26T19:47:01.6581620Z Args:
2025-08-26T19:47:01.6581740Z     to (str): Callee name.
2025-08-26T19:47:01.6581960Z     device_map (Dict of int, str, or torch.device): Device placement
2025-08-26T19:47:01.6582250Z         mappings from this worker to the callee. This map must be
2025-08-26T19:47:01.6582470Z         invertible.
2025-08-26T19:47:01.6582560Z 
2025-08-26T19:47:01.6582600Z Example:
2025-08-26T19:47:01.6582730Z     >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:01.6582910Z     >>> # both workers
2025-08-26T19:47:01.6583050Z     >>> def add(x, y):
2025-08-26T19:47:01.6583220Z     >>>     print(x)  # tensor([1., 1.], device='cuda:1')
2025-08-26T19:47:01.6583420Z     >>>     return x + y, (x + y).to(2)
2025-08-26T19:47:01.6583590Z     >>>
2025-08-26T19:47:01.6583690Z     >>> # on worker 0
2025-08-26T19:47:01.6583860Z     >>> options = TensorPipeRpcBackendOptions(
2025-08-26T19:47:01.6584060Z     >>>     num_worker_threads=8,
2025-08-26T19:47:01.6584240Z     >>>     device_maps={"worker1": {0: 1}}
2025-08-26T19:47:01.6584450Z     >>> # maps worker0's cuda:0 to worker1's cuda:1
2025-08-26T19:47:01.6584630Z     >>> )
2025-08-26T19:47:01.6584770Z     >>> options.set_device_map("worker1", {1: 2})
2025-08-26T19:47:01.6585050Z     >>> # maps worker0's cuda:1 to worker1's cuda:2
2025-08-26T19:47:01.6585240Z     >>>
2025-08-26T19:47:01.6585350Z     >>> rpc.init_rpc(
2025-08-26T19:47:01.6585490Z     >>>     "worker0",
2025-08-26T19:47:01.6585650Z     >>>     rank=0,
2025-08-26T19:47:01.6585780Z     >>>     world_size=2,
2025-08-26T19:47:01.6585950Z     >>>     backend=rpc.BackendType.TENSORPIPE,
2025-08-26T19:47:01.6586160Z     >>>     rpc_backend_options=options
2025-08-26T19:47:01.6586330Z     >>> )
2025-08-26T19:47:01.6586430Z     >>>
2025-08-26T19:47:01.6586540Z     >>> x = torch.ones(2)
2025-08-26T19:47:01.6586740Z     >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1))
2025-08-26T19:47:01.6587020Z     >>> # The first argument will be moved to cuda:1 on worker1. When
2025-08-26T19:47:01.6587310Z     >>> # sending the return value back, it will follow the invert of
2025-08-26T19:47:01.6587590Z     >>> # the device map, and hence will be moved back to cuda:0 and
2025-08-26T19:47:01.6587820Z     >>> # cuda:1 on worker0
2025-08-26T19:47:01.6588010Z     >>> print(rets[0])  # tensor([2., 2.], device='cuda:0')
2025-08-26T19:47:01.6588250Z     >>> print(rets[1])  # tensor([2., 2.], device='cuda:1')
2025-08-26T19:47:01.6588410Z 
2025-08-26T19:47:01.6588560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.8385150Z 
2025-08-26T19:47:01.8385940Z msg = Cannot scrape callname=_server_process_global_profile in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19.
2025-08-26T19:47:01.8386720Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.8386960Z 
2025-08-26T19:47:01.8387090Z It has the same API as ``torch.autograd.profiler.profile`` class,
2025-08-26T19:47:01.8387460Z except that it enables profiling on all threads running RPC server request callbacks.
2025-08-26T19:47:01.8387690Z 
2025-08-26T19:47:01.8387880Z Context manager that manages autograd profiler state and holds a summary of results.
2025-08-26T19:47:01.8388290Z Under the hood it just records events of functions being executed in C++ and
2025-08-26T19:47:01.8388640Z exposes those events to Python. You can wrap any code into it and it will
2025-08-26T19:47:01.8388920Z only report runtime of PyTorch functions.
2025-08-26T19:47:01.8389230Z Note: profiler is thread local and is automatically propagated into the async tasks
2025-08-26T19:47:01.8389460Z 
2025-08-26T19:47:01.8389510Z Args:
2025-08-26T19:47:01.8389740Z     enabled (bool, optional): Setting this to False makes this context manager a no-op.
2025-08-26T19:47:01.8390050Z         Default: ``True``.
2025-08-26T19:47:01.8390160Z 
2025-08-26T19:47:01.8390340Z     use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API.
2025-08-26T19:47:01.8390710Z         Adds approximately 4us of overhead to each tensor operation.
2025-08-26T19:47:01.8390960Z         Default: ``False``
2025-08-26T19:47:01.8391060Z 
2025-08-26T19:47:01.8391210Z     record_shapes (bool, optional): If shapes recording is set, information
2025-08-26T19:47:01.8391570Z         about input dimensions will be collected. This allows one to see which
2025-08-26T19:47:01.8391910Z         dimensions have been used under the hood and further group by them
2025-08-26T19:47:01.8392250Z         using prof.key_averages(group_by_input_shape=True). Please note that
2025-08-26T19:47:01.8392620Z         shape recording might skew your profiling data. It is recommended to
2025-08-26T19:47:01.8392970Z         use separate runs with and without shape recording to validate the timing.
2025-08-26T19:47:01.8393310Z         Most likely the skew will be negligible for bottom most events (in a case
2025-08-26T19:47:01.8393650Z         of nested function calls). But for higher level functions the total
2025-08-26T19:47:01.8393980Z         self cpu time might be artificially increased because of the shape
2025-08-26T19:47:01.8394220Z         collection.
2025-08-26T19:47:01.8394530Z 
2025-08-26T19:47:01.8394710Z     profile_memory (bool, optional): Whether to report memory usage, default: ``False``
2025-08-26T19:47:01.8394940Z 
2025-08-26T19:47:01.8395010Z .. warning::
2025-08-26T19:47:01.8395260Z     Enabling memory profiling incurs additional profiler overhead
2025-08-26T19:47:01.8395450Z 
2025-08-26T19:47:01.8395500Z .. warning::
2025-08-26T19:47:01.8395760Z     Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`),
2025-08-26T19:47:01.8396120Z     one cannot use the profiler with ``use_cuda = True`` to benchmark
2025-08-26T19:47:01.8396450Z     DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading,
2025-08-26T19:47:01.8396760Z     please use ``use_cuda = False`` or ``num_workers = 0``.
2025-08-26T19:47:01.8396930Z 
2025-08-26T19:47:01.8396970Z Example:
2025-08-26T19:47:01.8397100Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:01.8397250Z     >>> # On worker 0:
2025-08-26T19:47:01.8397380Z     >>> import torch
2025-08-26T19:47:01.8397550Z     >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:01.8397770Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-26T19:47:01.8398010Z     >>> x, y = torch.tensor(1), torch.tensor(2)
2025-08-26T19:47:01.8398220Z     >>> outer_profile_rref = rpc.remote(
2025-08-26T19:47:01.8398630Z     ...     dst_worker_name, rpc._server_process_global_profile
2025-08-26T19:47:01.8398850Z     ... )
2025-08-26T19:47:01.8399000Z     >>> outer_profile_rref.rpc_sync().__enter__()
2025-08-26T19:47:01.8399230Z     >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y))
2025-08-26T19:47:01.8399450Z     >>> inner_profile_rref = rpc.remote(
2025-08-26T19:47:01.8399690Z     ...     dst_worker_name, rpc._server_process_global_profile
2025-08-26T19:47:01.8399900Z     ... )
2025-08-26T19:47:01.8400040Z     >>> inner_profile_rref.rpc_sync().__enter__()
2025-08-26T19:47:01.8400280Z     >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y))
2025-08-26T19:47:01.8400540Z     >>> inner_profile_rref.rpc_sync().__exit__(None, None, None)
2025-08-26T19:47:01.8400820Z     >>> outer_profile_rref.rpc_sync().__exit__(None, None, None)
2025-08-26T19:47:01.8401100Z     >>> print(inner_profile_rref.rpc_sync().key_averages())
2025-08-26T19:47:01.8401430Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-26T19:47:01.8401840Z     Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-08-26T19:47:01.8402240Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-26T19:47:01.8402590Z     sub        85.06%           76.275us         100.00%          89.667us         89.667us         1
2025-08-26T19:47:01.8402900Z     empty      14.94%           13.392us         14.94%           13.392us         13.392us         1
2025-08-26T19:47:01.8403240Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-26T19:47:01.8403510Z     Self CPU time total: 89.667us
2025-08-26T19:47:01.8403730Z     >>> print(outer_profile_rref.rpc_sync().key_averages())
2025-08-26T19:47:01.8404050Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-26T19:47:01.8404450Z     Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-08-26T19:47:01.8404850Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-26T19:47:01.8405170Z     sub        35.65%           76.275us         41.91%           89.667us         89.667us         1
2025-08-26T19:47:01.8405470Z     empty      12.67%           27.101us         12.67%           27.101us         13.551us         2
2025-08-26T19:47:01.8405770Z     add        51.68%           110.550us        58.09%           124.259us        124.259us        1
2025-08-26T19:47:01.8406210Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-26T19:47:01.8406500Z     Self CPU time total: 213.926us
2025-08-26T19:47:01.8406730Z     >>> rpc.shutdown()
2025-08-26T19:47:01.8406840Z 
2025-08-26T19:47:01.8406890Z     >>> # On worker 1:
2025-08-26T19:47:01.8407060Z     >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:01.8407290Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-26T19:47:01.8407540Z     >>> # wait for worker 0 to finish work, and then shutdown.
2025-08-26T19:47:01.8407760Z     >>> rpc.shutdown()
2025-08-26T19:47:01.8407850Z 
2025-08-26T19:47:01.8408010Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.8408230Z 
2025-08-26T19:47:01.8408640Z msg = Cannot scrape callname=record_function in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/profiler.py line=734.
2025-08-26T19:47:01.8409260Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.8409730Z Context manager/function decorator that adds a label to a code block/function when running autograd profiler.
2025-08-26T19:47:01.8410130Z     Label will only appear if CPU activity tracing is enabled.
2025-08-26T19:47:01.8410400Z 
2025-08-26T19:47:01.8410480Z     It is useful when tracing the code profile.
2025-08-26T19:47:01.8410630Z 
2025-08-26T19:47:01.8410670Z     Args:
2025-08-26T19:47:01.8410830Z         name (str): Label assigned to the block of code.
2025-08-26T19:47:01.8411110Z         node_id (int): ID of node, for distributed profiling. Unset in
2025-08-26T19:47:01.8411350Z         non-distributed cases.
2025-08-26T19:47:01.8411460Z 
2025-08-26T19:47:01.8411510Z     Example:
2025-08-26T19:47:01.8411700Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD_PROFILER)
2025-08-26T19:47:01.8411970Z         >>> x = torch.randn((1, 1), requires_grad=True)
2025-08-26T19:47:01.8412220Z         >>> with torch.autograd.profiler.profile() as prof:
2025-08-26T19:47:01.8412440Z         ...     y = x**2
2025-08-26T19:47:01.8412640Z         ...     with torch.autograd.profiler.record_function(
2025-08-26T19:47:01.8412860Z         ...         "label-z"
2025-08-26T19:47:01.8413020Z         ...     ):  # label the block
2025-08-26T19:47:01.8413190Z         ...         z = y**3
2025-08-26T19:47:01.8413340Z         ...     y.backward()
2025-08-26T19:47:01.8413500Z         >>> # xdoctest: +IGNORE_WANT
2025-08-26T19:47:01.8413700Z         >>> # NOTE: some columns were removed for brevity
2025-08-26T19:47:01.8413980Z         >>> print(prof.key_averages().table(sort_by="self_cpu_time_total"))
2025-08-26T19:47:01.8414300Z         -----------------------------------  ---------------  ---------------  ---------------
2025-08-26T19:47:01.8414620Z         Name                                 Self CPU total %  CPU time avg     Number of Calls
2025-08-26T19:47:01.8414930Z         -----------------------------------  ---------------  ---------------  ---------------
2025-08-26T19:47:01.8415210Z         pow                                  60.77%           47.470us         3
2025-08-26T19:47:01.8415440Z         mul                                  21.73%           25.465us         2
2025-08-26T19:47:01.8415700Z         PowBackward0                         12.03%           121.891us        1
2025-08-26T19:47:01.8416010Z         torch::autograd::AccumulateGrad      2.70%            6.324us          1
2025-08-26T19:47:01.8416310Z         label-z                              2.13%            12.421us         1
2025-08-26T19:47:01.8416590Z         torch::autograd::GraphRoot           0.64%            1.503us          1
2025-08-26T19:47:01.8416900Z         -----------------------------------  ---------------  ---------------  ---------------
2025-08-26T19:47:01.8417160Z         Self CPU time total: 234.344us
2025-08-26T19:47:01.8417350Z         CUDA time total: 0.000us
2025-08-26T19:47:01.8417460Z 
2025-08-26T19:47:01.8417510Z     
2025-08-26T19:47:01.8417780Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.8418000Z 
2025-08-26T19:47:01.8418470Z msg = Cannot scrape callname=assoc_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=245.
2025-08-26T19:47:01.8419170Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.8419520Z Return a new dict with new, potentially nested, key value pair
2025-08-26T19:47:01.8419700Z 
2025-08-26T19:47:01.8419750Z     >>> purchase = {
2025-08-26T19:47:01.8419900Z     ...     "name": "Alice",
2025-08-26T19:47:01.8420110Z     ...     "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-08-26T19:47:01.8420360Z     ...     "credit card": "5555-1234-1234-1234",
2025-08-26T19:47:01.8420540Z     ... }
2025-08-26T19:47:01.8420730Z     >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00])  # doctest: +SKIP
2025-08-26T19:47:01.8420980Z     {'credit card': '5555-1234-1234-1234',
2025-08-26T19:47:01.8421160Z      'name': 'Alice',
2025-08-26T19:47:01.8421350Z      'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}}
2025-08-26T19:47:01.8421570Z     
2025-08-26T19:47:01.8421780Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.8422070Z 
2025-08-26T19:47:01.8422520Z msg = Cannot scrape callname=update_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=261.
2025-08-26T19:47:01.8423200Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.8423510Z Update value in a (potentially) nested dictionary
2025-08-26T19:47:01.8423660Z 
2025-08-26T19:47:01.8423710Z     inputs:
2025-08-26T19:47:01.8423840Z     d - dictionary on which to operate
2025-08-26T19:47:01.8424110Z     keys - list or tuple giving the location of the value to be changed in d
2025-08-26T19:47:01.8424390Z     func - function to operate on that value
2025-08-26T19:47:01.8424530Z 
2025-08-26T19:47:01.8424650Z     If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the
2025-08-26T19:47:01.8424980Z     original dictionary with v replaced by func(v), but does not mutate the
2025-08-26T19:47:01.8425240Z     original dictionary.
2025-08-26T19:47:01.8425340Z 
2025-08-26T19:47:01.8425470Z     If k0 is not a key in d, update_in creates nested dictionaries to the depth
2025-08-26T19:47:01.8425800Z     specified by the keys, with the innermost value set to func(default).
2025-08-26T19:47:01.8426000Z 
2025-08-26T19:47:01.8426050Z     >>> inc = lambda x: x + 1
2025-08-26T19:47:01.8426220Z     >>> update_in({"a": 0}, ["a"], inc)
2025-08-26T19:47:01.8426390Z     {'a': 1}
2025-08-26T19:47:01.8426460Z 
2025-08-26T19:47:01.8426510Z     >>> transaction = {
2025-08-26T19:47:01.8426660Z     ...     "name": "Alice",
2025-08-26T19:47:01.8426890Z     ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-08-26T19:47:01.8427130Z     ...     "credit card": "5555-1234-1234-1234",
2025-08-26T19:47:01.8427310Z     ... }
2025-08-26T19:47:01.8427520Z     >>> update_in(transaction, ["purchase", "costs"], sum)  # doctest: +SKIP
2025-08-26T19:47:01.8427780Z     {'credit card': '5555-1234-1234-1234',
2025-08-26T19:47:01.8427950Z      'name': 'Alice',
2025-08-26T19:47:01.8428150Z      'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}}
2025-08-26T19:47:01.8428320Z 
2025-08-26T19:47:01.8428390Z     >>> # updating a value when k0 is not in d
2025-08-26T19:47:01.8428600Z     >>> update_in({}, [1, 2, 3], str, default="bar")
2025-08-26T19:47:01.8428790Z     {1: {2: {3: 'bar'}}}
2025-08-26T19:47:01.8428950Z     >>> update_in({1: "foo"}, [2, 3, 4], inc, 0)
2025-08-26T19:47:01.8429140Z     {1: 'foo', 2: {3: {4: 1}}}
2025-08-26T19:47:01.8429280Z     
2025-08-26T19:47:01.8429540Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.8556860Z 
2025-08-26T19:47:01.8557550Z msg = Cannot scrape callname=get_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=320.
2025-08-26T19:47:01.8558350Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.8558700Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys.
2025-08-26T19:47:01.8558870Z 
2025-08-26T19:47:01.8559000Z     If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless
2025-08-26T19:47:01.8559320Z     ``no_default`` is specified, then it raises KeyError or IndexError.
2025-08-26T19:47:01.8559510Z 
2025-08-26T19:47:01.8559650Z     ``get_in`` is a generalization of ``operator.getitem`` for nested data
2025-08-26T19:47:01.8559930Z     structures such as dictionaries and lists.
2025-08-26T19:47:01.8560070Z 
2025-08-26T19:47:01.8560130Z     >>> transaction = {
2025-08-26T19:47:01.8560290Z     ...     "name": "Alice",
2025-08-26T19:47:01.8560520Z     ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-08-26T19:47:01.8560810Z     ...     "credit card": "5555-1234-1234-1234",
2025-08-26T19:47:01.8561000Z     ... }
2025-08-26T19:47:01.8561150Z     >>> get_in(["purchase", "items", 0], transaction)
2025-08-26T19:47:01.8561440Z     'Apple'
2025-08-26T19:47:01.8561570Z     >>> get_in(["name"], transaction)
2025-08-26T19:47:01.8561740Z     'Alice'
2025-08-26T19:47:01.8561890Z     >>> get_in(["purchase", "total"], transaction)
2025-08-26T19:47:01.8562130Z     >>> get_in(["purchase", "items", "apple"], transaction)
2025-08-26T19:47:01.8562370Z     >>> get_in(["purchase", "items", 10], transaction)
2025-08-26T19:47:01.8562600Z     >>> get_in(["purchase", "total"], transaction, 0)
2025-08-26T19:47:01.8562640Z     0
2025-08-26T19:47:01.8562700Z     >>> get_in(["y"], {}, no_default=True)
2025-08-26T19:47:01.8562770Z     Traceback (most recent call last):
2025-08-26T19:47:01.8562810Z         ...
2025-08-26T19:47:01.8562860Z     KeyError: 'y'
2025-08-26T19:47:01.8562860Z 
2025-08-26T19:47:01.8562910Z     See Also:
2025-08-26T19:47:01.8562960Z         itertoolz.get
2025-08-26T19:47:01.8563010Z         operator.getitem
2025-08-26T19:47:01.8563050Z     
2025-08-26T19:47:01.8563210Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.8563210Z 
2025-08-26T19:47:01.8563670Z msg = Cannot scrape callname=groupby in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=373.
2025-08-26T19:47:01.8563830Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.8563900Z Group a collection by a key function
2025-08-26T19:47:01.8563900Z 
2025-08-26T19:47:01.8564010Z     >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"]
2025-08-26T19:47:01.8564080Z     >>> groupby(len, names)  # doctest: +SKIP
2025-08-26T19:47:01.8564180Z     {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']}
2025-08-26T19:47:01.8564190Z 
2025-08-26T19:47:01.8564250Z     >>> iseven = lambda x: x % 2 == 0
2025-08-26T19:47:01.8564350Z     >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8])  # doctest: +SKIP
2025-08-26T19:47:01.8564430Z     {False: [1, 3, 5, 7], True: [2, 4, 6, 8]}
2025-08-26T19:47:01.8564430Z 
2025-08-26T19:47:01.8564520Z     Non-callable keys imply grouping on a member.
2025-08-26T19:47:01.8564520Z 
2025-08-26T19:47:01.8564570Z     >>> groupby(
2025-08-26T19:47:01.8564620Z     ...     "gender",
2025-08-26T19:47:01.8564660Z     ...     [
2025-08-26T19:47:01.8564730Z     ...         {"name": "Alice", "gender": "F"},
2025-08-26T19:47:01.8569920Z     ...         {"name": "Bob", "gender": "M"},
2025-08-26T19:47:01.8570000Z     ...         {"name": "Charlie", "gender": "M"},
2025-08-26T19:47:01.8570040Z     ...     ],
2025-08-26T19:47:01.8570090Z     ... )  # doctest:+SKIP
2025-08-26T19:47:01.8570230Z     {'F': [{'gender': 'F', 'name': 'Alice'}],
2025-08-26T19:47:01.8570290Z      'M': [{'gender': 'M', 'name': 'Bob'},
2025-08-26T19:47:01.8570360Z            {'gender': 'M', 'name': 'Charlie'}]}
2025-08-26T19:47:01.8570390Z 
2025-08-26T19:47:01.8570470Z     Not to be confused with ``itertools.groupby``
2025-08-26T19:47:01.8570470Z 
2025-08-26T19:47:01.8570520Z     See Also:
2025-08-26T19:47:01.8570570Z         countby
2025-08-26T19:47:01.8570610Z     
2025-08-26T19:47:01.8570760Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.8570760Z 
2025-08-26T19:47:01.8571150Z msg = Cannot scrape callname=SequentialLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=808.
2025-08-26T19:47:01.8571300Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.8571500Z Contains a list of schedulers expected to be called sequentially during the optimization process.
2025-08-26T19:47:01.8571500Z 
2025-08-26T19:47:01.8571720Z     Specifically, the schedulers will be called according to the milestone points, which should provide exact
2025-08-26T19:47:01.8571860Z     intervals by which each scheduler should be called at a given epoch.
2025-08-26T19:47:01.8571860Z 
2025-08-26T19:47:01.8571930Z     Args:
2025-08-26T19:47:01.8572010Z         optimizer (Optimizer): Wrapped optimizer.
2025-08-26T19:47:01.8572090Z         schedulers (list): List of chained schedulers.
2025-08-26T19:47:01.8572220Z         milestones (list): List of integers that reflects milestone points.
2025-08-26T19:47:01.8572330Z         last_epoch (int): The index of last epoch. Default: -1.
2025-08-26T19:47:01.8572330Z 
2025-08-26T19:47:01.8572380Z     Example:
2025-08-26T19:47:01.8572430Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:01.8572530Z         >>> # Assuming optimizer uses lr = 0.05 for all groups
2025-08-26T19:47:01.8572590Z         >>> # lr = 0.005     if epoch == 0
2025-08-26T19:47:01.8572650Z         >>> # lr = 0.005     if epoch == 1
2025-08-26T19:47:01.8572710Z         >>> # lr = 0.005     if epoch == 2
2025-08-26T19:47:01.8572760Z         >>> # ...
2025-08-26T19:47:01.8572820Z         >>> # lr = 0.05      if epoch == 20
2025-08-26T19:47:01.8572880Z         >>> # lr = 0.045     if epoch == 21
2025-08-26T19:47:01.8572940Z         >>> # lr = 0.0405    if epoch == 22
2025-08-26T19:47:01.8573070Z         >>> scheduler1 = ConstantLR(optimizer, factor=0.1, total_iters=20)
2025-08-26T19:47:01.8573160Z         >>> scheduler2 = ExponentialLR(optimizer, gamma=0.9)
2025-08-26T19:47:01.8573230Z         >>> scheduler = SequentialLR(
2025-08-26T19:47:01.8573280Z         ...     optimizer,
2025-08-26T19:47:01.8573360Z         ...     schedulers=[scheduler1, scheduler2],
2025-08-26T19:47:01.8573420Z         ...     milestones=[20],
2025-08-26T19:47:01.8573460Z         ... )
2025-08-26T19:47:01.8573520Z         >>> for epoch in range(100):
2025-08-26T19:47:01.8573570Z         >>>     train(...)
2025-08-26T19:47:01.8573630Z         >>>     validate(...)
2025-08-26T19:47:01.8573680Z         >>>     scheduler.step()
2025-08-26T19:47:01.8573690Z 
2025-08-26T19:47:01.8573800Z     .. image:: ../scripts/lr_scheduler_images/SequentialLR.png
2025-08-26T19:47:01.8573850Z     
2025-08-26T19:47:01.8574000Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:01.8574010Z 
2025-08-26T19:47:01.8574410Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1233.
2025-08-26T19:47:01.8574570Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:01.8574670Z Reduce learning rate when a metric has stopped improving.
2025-08-26T19:47:01.8574680Z 
2025-08-26T19:47:01.8574810Z     Models often benefit from reducing the learning rate by a factor
2025-08-26T19:47:01.8574920Z     of 2-10 once learning stagnates. This scheduler reads a metrics
2025-08-26T19:47:01.8575210Z     quantity and if no improvement is seen for a 'patience' number
2025-08-26T19:47:01.8575290Z     of epochs, the learning rate is reduced.
2025-08-26T19:47:01.8575290Z 
2025-08-26T19:47:01.8575370Z     Args:
2025-08-26T19:47:01.8575450Z         optimizer (Optimizer): Wrapped optimizer.
2025-08-26T19:47:01.8575550Z         mode (str): One of `min`, `max`. In `min` mode, lr will
2025-08-26T19:47:01.8575640Z             be reduced when the quantity monitored has stopped
2025-08-26T19:47:01.8575750Z             decreasing; in `max` mode it will be reduced when the
2025-08-26T19:47:01.8575860Z             quantity monitored has stopped increasing. Default: 'min'.
2025-08-26T19:47:01.8575970Z         factor (float): Factor by which the learning rate will be
2025-08-26T19:47:01.8576060Z             reduced. new_lr = lr * factor. Default: 0.1.
2025-08-26T19:47:01.8576190Z         patience (int): The number of allowed epochs with no improvement after
2025-08-26T19:47:01.8576270Z             which the learning rate will be reduced.
2025-08-26T19:47:01.8576410Z             For example, consider the case of having no patience (`patience = 0`).
2025-08-26T19:47:01.8576630Z             In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-08-26T19:47:01.8576800Z             In the second epoch, if the performance is worse than the baseline,
2025-08-26T19:47:01.8576890Z             we have what is considered an intolerable epoch.
2025-08-26T19:47:01.8577070Z             Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-08-26T19:47:01.8577180Z             the learning rate is reduced at the end of this epoch.
2025-08-26T19:47:01.8577390Z             From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-08-26T19:47:01.8577580Z             if the performance is worse than the baseline. If the performance improves or remains the same,
2025-08-26T19:47:01.8577650Z             the learning rate is not adjusted.
2025-08-26T19:47:01.8577710Z             Default: 10.
2025-08-26T19:47:01.8577820Z         threshold (float): Threshold for measuring the new optimum,
2025-08-26T19:47:01.8577920Z             to only focus on significant changes. Default: 1e-4.
2025-08-26T19:47:01.8578030Z         threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-08-26T19:47:01.8578140Z             dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-08-26T19:47:01.8578220Z             mode or best * ( 1 - threshold ) in `min` mode.
2025-08-26T19:47:01.8578320Z             In `abs` mode, dynamic_threshold = best + threshold in
2025-08-26T19:47:01.8578430Z             `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-08-26T19:47:01.8578540Z         cooldown (int): Number of epochs to wait before resuming
2025-08-26T19:47:01.8578640Z             normal operation after lr has been reduced. Default: 0.
2025-08-26T19:47:01.8578750Z         min_lr (float or list): A scalar or a list of scalars. A
2025-08-26T19:47:01.8578850Z             lower bound on the learning rate of all param groups
2025-08-26T19:47:01.8578930Z             or each group respectively. Default: 0.
2025-08-26T19:47:01.8579040Z         eps (float): Minimal decay applied to lr. If the difference
2025-08-26T19:47:01.8579160Z             between new and old lr is smaller than eps, the update is
2025-08-26T19:47:01.8579210Z             ignored. Default: 1e-8.
2025-08-26T19:47:01.8579220Z 
2025-08-26T19:47:01.8579260Z     Example:
2025-08-26T19:47:01.8579310Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:01.8579450Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-08-26T19:47:01.8579550Z         >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-08-26T19:47:01.8579610Z         >>> for epoch in range(10):
2025-08-26T19:47:01.8579660Z         >>>     train(...)
2025-08-26T19:47:01.8579720Z         >>>     val_loss = validate(...)
2025-08-26T19:47:01.8579870Z         >>> # Note that step should be called after validate()
2025-08-26T19:47:01.8579930Z         >>>     scheduler.step(val_loss)
2025-08-26T19:47:01.8579940Z 
2025-08-26T19:47:01.8580060Z     .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-08-26T19:47:01.8580130Z     
2025-08-26T19:47:01.8580380Z Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-08-26T19:47:01.8580380Z 
2025-08-26T19:47:01.8580440Z     scheduler.step(val_loss)
2025-08-26T19:47:01.8580480Z    ^
2025-08-26T19:47:01.8580860Z msg = Cannot scrape callname=CyclicLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1430.
2025-08-26T19:47:01.8581020Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:01.8581210Z Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR).
2025-08-26T19:47:01.8581210Z 
2025-08-26T19:47:01.8581380Z     The policy cycles the learning rate between two boundaries with a constant frequency,
2025-08-26T19:47:01.8581540Z     as detailed in the paper `Cyclical Learning Rates for Training Neural Networks`_.
2025-08-26T19:47:01.8581690Z     The distance between the two boundaries can be scaled on a per-iteration
2025-08-26T19:47:01.8581770Z     or per-cycle basis.
2025-08-26T19:47:01.8581770Z 
2025-08-26T19:47:01.8581920Z     Cyclical learning rate policy changes the learning rate after every batch.
2025-08-26T19:47:01.8582040Z     `step` should be called after a batch has been used for training.
2025-08-26T19:47:01.8582050Z 
2025-08-26T19:47:01.8582180Z     This class has three built-in policies, as put forth in the paper:
2025-08-26T19:47:01.8582180Z 
2025-08-26T19:47:01.8582300Z     * "triangular": A basic triangular cycle without amplitude scaling.
2025-08-26T19:47:01.8582480Z     * "triangular2": A basic triangular cycle that scales initial amplitude by half each cycle.
2025-08-26T19:47:01.8582680Z     * "exp_range": A cycle that scales initial amplitude by :math:`\text{gamma}^{\text{cycle iterations}}`
2025-08-26T19:47:01.8582740Z       at each cycle iteration.
2025-08-26T19:47:01.8582740Z 
2025-08-26T19:47:01.8582890Z     This implementation was adapted from the github repo: `bckenstler/CLR`_
2025-08-26T19:47:01.8582890Z 
2025-08-26T19:47:01.8582940Z     Args:
2025-08-26T19:47:01.8583020Z         optimizer (Optimizer): Wrapped optimizer.
2025-08-26T19:47:01.8583130Z         base_lr (float or list): Initial learning rate which is the
2025-08-26T19:47:01.8583230Z             lower boundary in the cycle for each parameter group.
2025-08-26T19:47:01.8583350Z         max_lr (float or list): Upper learning rate boundaries in the cycle
2025-08-26T19:47:01.8583430Z             for each parameter group. Functionally,
2025-08-26T19:47:01.8583530Z             it defines the cycle amplitude (max_lr - base_lr).
2025-08-26T19:47:01.8583600Z             The lr at any cycle is the sum of base_lr
2025-08-26T19:47:01.8583690Z             and some scaling of the amplitude; therefore
2025-08-26T19:47:01.8583780Z             max_lr may not actually be reached depending on
2025-08-26T19:47:01.8583840Z             scaling function.
2025-08-26T19:47:01.8583950Z         step_size_up (int): Number of training iterations in the
2025-08-26T19:47:01.8584040Z             increasing half of a cycle. Default: 2000
2025-08-26T19:47:01.8584150Z         step_size_down (int): Number of training iterations in the
2025-08-26T19:47:01.8584250Z             decreasing half of a cycle. If step_size_down is None,
2025-08-26T19:47:01.8584330Z             it is set to step_size_up. Default: None
2025-08-26T19:47:01.8584430Z         mode (str): One of {triangular, triangular2, exp_range}.
2025-08-26T19:47:01.8584520Z             Values correspond to policies detailed above.
2025-08-26T19:47:01.8584610Z             If scale_fn is not None, this argument is ignored.
2025-08-26T19:47:01.8584670Z             Default: 'triangular'
2025-08-26T19:47:01.8584830Z         gamma (float): Constant in 'exp_range' scaling function:
2025-08-26T19:47:01.8584890Z             gamma**(cycle iterations)
2025-08-26T19:47:01.8584950Z             Default: 1.0
2025-08-26T19:47:01.8585090Z         scale_fn (function): Custom scaling policy defined by a single
2025-08-26T19:47:01.8585160Z             argument lambda function, where
2025-08-26T19:47:01.8585230Z             0 <= scale_fn(x) <= 1 for all x >= 0.
2025-08-26T19:47:01.8585300Z             If specified, then 'mode' is ignored.
2025-08-26T19:47:01.8585350Z             Default: None
2025-08-26T19:47:01.8585430Z         scale_mode (str): {'cycle', 'iterations'}.
2025-08-26T19:47:01.8585510Z             Defines whether scale_fn is evaluated on
2025-08-26T19:47:01.8585590Z             cycle number or cycle iterations (training
2025-08-26T19:47:01.8585650Z             iterations since start of cycle).
2025-08-26T19:47:01.8585710Z             Default: 'cycle'
2025-08-26T19:47:01.8585830Z         cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-08-26T19:47:01.8585950Z             to learning rate between 'base_momentum' and 'max_momentum'.
2025-08-26T19:47:01.8586000Z             Default: True
2025-08-26T19:47:01.8586130Z         base_momentum (float or list): Lower momentum boundaries in the cycle
2025-08-26T19:47:01.8586290Z             for each parameter group. Note that momentum is cycled inversely
2025-08-26T19:47:01.8586400Z             to learning rate; at the peak of a cycle, momentum is
2025-08-26T19:47:01.8586480Z             'base_momentum' and learning rate is 'max_lr'.
2025-08-26T19:47:01.8586530Z             Default: 0.8
2025-08-26T19:47:01.8586670Z         max_momentum (float or list): Upper momentum boundaries in the cycle
2025-08-26T19:47:01.8586740Z             for each parameter group. Functionally,
2025-08-26T19:47:01.8586870Z             it defines the cycle amplitude (max_momentum - base_momentum).
2025-08-26T19:47:01.8586980Z             The momentum at any cycle is the difference of max_momentum
2025-08-26T19:47:01.8587070Z             and some scaling of the amplitude; therefore
2025-08-26T19:47:01.8587180Z             base_momentum may not actually be reached depending on
2025-08-26T19:47:01.8587290Z             scaling function. Note that momentum is cycled inversely
2025-08-26T19:47:01.8587420Z             to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-08-26T19:47:01.8587490Z             and learning rate is 'base_lr'
2025-08-26T19:47:01.8587540Z             Default: 0.9
2025-08-26T19:47:01.8587680Z         last_epoch (int): The index of the last batch. This parameter is used when
2025-08-26T19:47:01.8587810Z             resuming a training job. Since `step()` should be invoked after each
2025-08-26T19:47:01.8587940Z             batch instead of after each epoch, this number represents the total
2025-08-26T19:47:01.8588080Z             number of *batches* computed, not the total number of epochs computed.
2025-08-26T19:47:01.8588210Z             When last_epoch=-1, the schedule is started from the beginning.
2025-08-26T19:47:01.8588260Z             Default: -1
2025-08-26T19:47:01.8588260Z 
2025-08-26T19:47:01.8588310Z     Example:
2025-08-26T19:47:01.8588360Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:01.8588500Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-08-26T19:47:01.8588610Z         >>> scheduler = torch.optim.lr_scheduler.CyclicLR(
2025-08-26T19:47:01.8588660Z         ...     optimizer,
2025-08-26T19:47:01.8588720Z         ...     base_lr=0.01,
2025-08-26T19:47:01.8588770Z         ...     max_lr=0.1,
2025-08-26T19:47:01.8588820Z         ...     step_size_up=10,
2025-08-26T19:47:01.8588860Z         ... )
2025-08-26T19:47:01.8588950Z         >>> data_loader = torch.utils.data.DataLoader(...)
2025-08-26T19:47:01.8589010Z         >>> for epoch in range(10):
2025-08-26T19:47:01.8589070Z         >>>     for batch in data_loader:
2025-08-26T19:47:01.8589120Z         >>>         train_batch(...)
2025-08-26T19:47:01.8589210Z         >>>         scheduler.step()
2025-08-26T19:47:01.8589220Z 
2025-08-26T19:47:01.8589320Z     .. image:: ../scripts/lr_scheduler_images/CyclicLR.png
2025-08-26T19:47:01.8589340Z 
2025-08-26T19:47:01.8589530Z     .. _Cyclical Learning Rates for Training Neural Networks: https://arxiv.org/abs/1506.01186
2025-08-26T19:47:01.8589630Z     .. _bckenstler/CLR: https://github.com/bckenstler/CLR
2025-08-26T19:47:01.8589680Z     
2025-08-26T19:47:01.8589830Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.7527780Z 
2025-08-26T19:47:02.7528560Z msg = Cannot scrape callname=CosineAnnealingWarmRestarts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1722.
2025-08-26T19:47:02.7529300Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.7529700Z Set the learning rate of each parameter group using a cosine annealing schedule.
2025-08-26T19:47:02.7529940Z 
2025-08-26T19:47:02.7530060Z     The :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}`
2025-08-26T19:47:02.7530400Z     is the number of epochs since the last restart and :math:`T_{i}` is the number
2025-08-26T19:47:02.7530700Z     of epochs between two warm restarts in SGDR:
2025-08-26T19:47:02.7530990Z 
2025-08-26T19:47:02.7531050Z     .. math::
2025-08-26T19:47:02.7531250Z         \eta_t = \eta_{min} + \frac{1}{2}(\eta_{max} - \eta_{min})\left(1 +
2025-08-26T19:47:02.7531530Z         \cos\left(\frac{T_{cur}}{T_{i}}\pi\right)\right)
2025-08-26T19:47:02.7531690Z 
2025-08-26T19:47:02.7531800Z     When :math:`T_{cur}=T_{i}`, set :math:`\eta_t = \eta_{min}`.
2025-08-26T19:47:02.7532100Z     When :math:`T_{cur}=0` after restart, set :math:`\eta_t=\eta_{max}`.
2025-08-26T19:47:02.7532290Z 
2025-08-26T19:47:02.7532350Z     It has been proposed in
2025-08-26T19:47:02.7532570Z     `SGDR: Stochastic Gradient Descent with Warm Restarts`_.
2025-08-26T19:47:02.7532740Z 
2025-08-26T19:47:02.7532790Z     Args:
2025-08-26T19:47:02.7532950Z         optimizer (Optimizer): Wrapped optimizer.
2025-08-26T19:47:02.7533210Z         T_0 (int): Number of iterations until the first restart.
2025-08-26T19:47:02.7533560Z         T_mult (int, optional): A factor by which :math:`T_{i}` increases after a restart. Default: 1.
2025-08-26T19:47:02.7533930Z         eta_min (float, optional): Minimum learning rate. Default: 0.
2025-08-26T19:47:02.7534260Z         last_epoch (int, optional): The index of the last epoch. Default: -1.
2025-08-26T19:47:02.7534460Z 
2025-08-26T19:47:02.7534570Z     .. _SGDR\: Stochastic Gradient Descent with Warm Restarts:
2025-08-26T19:47:02.7534830Z         https://arxiv.org/abs/1608.03983
2025-08-26T19:47:02.7534970Z 
2025-08-26T19:47:02.7535020Z     Example:
2025-08-26T19:47:02.7535160Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:02.7535380Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.05)
2025-08-26T19:47:02.7535720Z         >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts(
2025-08-26T19:47:02.7536000Z         ...     optimizer, T_0=20
2025-08-26T19:47:02.7536160Z         ... )
2025-08-26T19:47:02.7536300Z         >>> for epoch in range(100):
2025-08-26T19:47:02.7536480Z         >>>     train(...)
2025-08-26T19:47:02.7536640Z         >>>     validate(...)
2025-08-26T19:47:02.7536810Z         >>>     scheduler.step()
2025-08-26T19:47:02.7536930Z 
2025-08-26T19:47:02.7537080Z     .. image:: ../scripts/lr_scheduler_images/CosineAnnealingWarmRestarts.png
2025-08-26T19:47:02.7537340Z     
2025-08-26T19:47:02.7537560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.7537780Z 
2025-08-26T19:47:02.7538180Z msg = Cannot scrape callname=OneCycleLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1872.
2025-08-26T19:47:02.7538800Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.7539360Z Sets the learning rate of each parameter group according to the 1cycle learning rate policy.
2025-08-26T19:47:02.7539620Z 
2025-08-26T19:47:02.7539800Z     The 1cycle policy anneals the learning rate from an initial learning rate to some maximum
2025-08-26T19:47:02.7540300Z     learning rate and then from that maximum learning rate to some minimum learning rate much
2025-08-26T19:47:02.7540620Z     lower than the initial learning rate.
2025-08-26T19:47:02.7540900Z     This policy was initially described in the paper `Super-Convergence:
2025-08-26T19:47:02.7541240Z     Very Fast Training of Neural Networks Using Large Learning Rates`_.
2025-08-26T19:47:02.7541440Z 
2025-08-26T19:47:02.7541600Z     The 1cycle learning rate policy changes the learning rate after every batch.
2025-08-26T19:47:02.7541940Z     `step` should be called after a batch has been used for training.
2025-08-26T19:47:02.7542140Z 
2025-08-26T19:47:02.7542210Z     This scheduler is not chainable.
2025-08-26T19:47:02.7542340Z 
2025-08-26T19:47:02.7542490Z     Note also that the total number of steps in the cycle can be determined in one
2025-08-26T19:47:02.7542800Z     of two ways (listed in order of precedence):
2025-08-26T19:47:02.7542960Z 
2025-08-26T19:47:02.7543050Z     #. A value for total_steps is explicitly provided.
2025-08-26T19:47:02.7543380Z     #. A number of epochs (epochs) and a number of steps per epoch
2025-08-26T19:47:02.7543630Z        (steps_per_epoch) are provided.
2025-08-26T19:47:02.7543870Z        In this case, the number of total steps is inferred by
2025-08-26T19:47:02.7544110Z        total_steps = epochs * steps_per_epoch
2025-08-26T19:47:02.7544260Z 
2025-08-26T19:47:02.7544410Z     You must either provide a value for total_steps or provide a value for both
2025-08-26T19:47:02.7544690Z     epochs and steps_per_epoch.
2025-08-26T19:47:02.7544800Z 
2025-08-26T19:47:02.7544990Z     The default behaviour of this scheduler follows the fastai implementation of 1cycle, which
2025-08-26T19:47:02.7545410Z     claims that "unpublished work has shown even better results by using only two phases". To
2025-08-26T19:47:02.7545800Z     mimic the behaviour of the original paper instead, set ``three_phase=True``.
2025-08-26T19:47:02.7546020Z 
2025-08-26T19:47:02.7546060Z     Args:
2025-08-26T19:47:02.7546210Z         optimizer (Optimizer): Wrapped optimizer.
2025-08-26T19:47:02.7546480Z         max_lr (float or list): Upper learning rate boundaries in the cycle
2025-08-26T19:47:02.7546730Z             for each parameter group.
2025-08-26T19:47:02.7546990Z         total_steps (int): The total number of steps in the cycle. Note that
2025-08-26T19:47:02.7547310Z             if a value is not provided here, then it must be inferred by providing
2025-08-26T19:47:02.7547580Z             a value for epochs and steps_per_epoch.
2025-08-26T19:47:02.7547780Z             Default: None
2025-08-26T19:47:02.7548020Z         epochs (int): The number of epochs to train for. This is used along
2025-08-26T19:47:02.7548360Z             with steps_per_epoch in order to infer the total number of steps in the cycle
2025-08-26T19:47:02.7548650Z             if a value for total_steps is not provided.
2025-08-26T19:47:02.7548850Z             Default: None
2025-08-26T19:47:02.7549100Z         steps_per_epoch (int): The number of steps per epoch to train for. This is
2025-08-26T19:47:02.7549460Z             used along with epochs in order to infer the total number of steps in the
2025-08-26T19:47:02.7549770Z             cycle if a value for total_steps is not provided.
2025-08-26T19:47:02.7549980Z             Default: None
2025-08-26T19:47:02.7550220Z         pct_start (float): The percentage of the cycle (in number of steps) spent
2025-08-26T19:47:02.7550480Z             increasing the learning rate.
2025-08-26T19:47:02.7550670Z             Default: 0.3
2025-08-26T19:47:02.7550840Z         anneal_strategy (str): {'cos', 'linear'}
2025-08-26T19:47:02.7551120Z             Specifies the annealing strategy: "cos" for cosine annealing, "linear" for
2025-08-26T19:47:02.7551470Z             linear annealing.
2025-08-26T19:47:02.7551640Z             Default: 'cos'
2025-08-26T19:47:02.7551870Z         cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-08-26T19:47:02.7552220Z             to learning rate between 'base_momentum' and 'max_momentum'.
2025-08-26T19:47:02.7552450Z             Default: True
2025-08-26T19:47:02.7552680Z         base_momentum (float or list): Lower momentum boundaries in the cycle
2025-08-26T19:47:02.7553010Z             for each parameter group. Note that momentum is cycled inversely
2025-08-26T19:47:02.7553300Z             to learning rate; at the peak of a cycle, momentum is
2025-08-26T19:47:02.7553550Z             'base_momentum' and learning rate is 'max_lr'.
2025-08-26T19:47:02.7553770Z             Default: 0.85
2025-08-26T19:47:02.7554000Z         max_momentum (float or list): Upper momentum boundaries in the cycle
2025-08-26T19:47:02.7554280Z             for each parameter group. Functionally,
2025-08-26T19:47:02.7554550Z             it defines the cycle amplitude (max_momentum - base_momentum).
2025-08-26T19:47:02.7554810Z             Note that momentum is cycled inversely
2025-08-26T19:47:02.7555080Z             to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-08-26T19:47:02.7555340Z             and learning rate is 'base_lr'
2025-08-26T19:47:02.7555560Z             Default: 0.95
2025-08-26T19:47:02.7555770Z         div_factor (float): Determines the initial learning rate via
2025-08-26T19:47:02.7556010Z             initial_lr = max_lr/div_factor
2025-08-26T19:47:02.7556190Z             Default: 25
2025-08-26T19:47:02.7556410Z         final_div_factor (float): Determines the minimum learning rate via
2025-08-26T19:47:02.7556670Z             min_lr = initial_lr/final_div_factor
2025-08-26T19:47:02.7556850Z             Default: 1e4
2025-08-26T19:47:02.7557110Z         three_phase (bool): If ``True``, use a third phase of the schedule to annihilate the
2025-08-26T19:47:02.7557470Z             learning rate according to 'final_div_factor' instead of modifying the second
2025-08-26T19:47:02.7557840Z             phase (the first two phases will be symmetrical about the step indicated by
2025-08-26T19:47:02.7558110Z             'pct_start').
2025-08-26T19:47:02.7558350Z         last_epoch (int): The index of the last batch. This parameter is used when
2025-08-26T19:47:02.7558690Z             resuming a training job. Since `step()` should be invoked after each
2025-08-26T19:47:02.7559020Z             batch instead of after each epoch, this number represents the total
2025-08-26T19:47:02.7559350Z             number of *batches* computed, not the total number of epochs computed.
2025-08-26T19:47:02.7559670Z             When last_epoch=-1, the schedule is started from the beginning.
2025-08-26T19:47:02.7559900Z             Default: -1
2025-08-26T19:47:02.7559990Z 
2025-08-26T19:47:02.7560040Z     Example:
2025-08-26T19:47:02.7560170Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:02.7560370Z         >>> data_loader = torch.utils.data.DataLoader(...)
2025-08-26T19:47:02.7560670Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9)
2025-08-26T19:47:02.7560980Z         >>> scheduler = torch.optim.lr_scheduler.OneCycleLR(
2025-08-26T19:47:02.7561270Z         ...     optimizer, max_lr=0.01, steps_per_epoch=len(data_loader), epochs=10
2025-08-26T19:47:02.7561520Z         ... )
2025-08-26T19:47:02.7561650Z         >>> for epoch in range(10):
2025-08-26T19:47:02.7561830Z         >>>     for batch in data_loader:
2025-08-26T19:47:02.7562020Z         >>>         train_batch(...)
2025-08-26T19:47:02.7562190Z         >>>         optimizer.step()
2025-08-26T19:47:02.7562370Z         >>>         scheduler.step()
2025-08-26T19:47:02.7562480Z 
2025-08-26T19:47:02.7562580Z     .. image:: ../scripts/lr_scheduler_images/OneCycleLR.png
2025-08-26T19:47:02.7562760Z 
2025-08-26T19:47:02.7562930Z     .. _Super-Convergence\: Very Fast Training of Neural Networks Using Large Learning Rates:
2025-08-26T19:47:02.7563310Z         https://arxiv.org/abs/1708.07120
2025-08-26T19:47:02.7563490Z     
2025-08-26T19:47:02.7563700Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.7563970Z 
2025-08-26T19:47:02.7564350Z msg = Cannot scrape callname=AveragedModel in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/swa_utils.py line=120.
2025-08-26T19:47:02.7564940Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.7565380Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA).
2025-08-26T19:47:02.7565660Z 
2025-08-26T19:47:02.7565800Z     Stochastic Weight Averaging was proposed in `Averaging Weights Leads to
2025-08-26T19:47:02.7566150Z     Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii
2025-08-26T19:47:02.7566480Z     Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson
2025-08-26T19:47:02.7566730Z     (UAI 2018).
2025-08-26T19:47:02.7566810Z 
2025-08-26T19:47:02.7566940Z     Exponential Moving Average is a variation of `Polyak averaging`_,
2025-08-26T19:47:02.7567280Z     but using exponential weights instead of equal weights across iterations.
2025-08-26T19:47:02.7567500Z 
2025-08-26T19:47:02.7567690Z     AveragedModel class creates a copy of the provided module :attr:`model`
2025-08-26T19:47:02.7568040Z     on the device :attr:`device` and allows to compute running averages of the
2025-08-26T19:47:02.7568300Z     parameters of the :attr:`model`.
2025-08-26T19:47:02.7568430Z 
2025-08-26T19:47:02.7573690Z     Args:
2025-08-26T19:47:02.7573890Z         model (torch.nn.Module): model to use with SWA/EMA
2025-08-26T19:47:02.7574200Z         device (torch.device, optional): if provided, the averaged model will be
2025-08-26T19:47:02.7574480Z             stored on the :attr:`device`
2025-08-26T19:47:02.7574740Z         avg_fn (function, optional): the averaging function used to update
2025-08-26T19:47:02.7575060Z             parameters; the function must take in the current value of the
2025-08-26T19:47:02.7575380Z             :class:`AveragedModel` parameter, the current value of :attr:`model`
2025-08-26T19:47:02.7575700Z             parameter, and the number of models already averaged; if None,
2025-08-26T19:47:02.7575990Z             an equally weighted average is used (default: None)
2025-08-26T19:47:02.7576290Z         multi_avg_fn (function, optional): the averaging function used to update
2025-08-26T19:47:02.7576630Z             parameters inplace; the function must take in the current values of the
2025-08-26T19:47:02.7577010Z             :class:`AveragedModel` parameters as a list, the current values of :attr:`model`
2025-08-26T19:47:02.7577380Z             parameters as a list, and the number of models already averaged; if None,
2025-08-26T19:47:02.7577680Z             an equally weighted average is used (default: None)
2025-08-26T19:47:02.7577970Z         use_buffers (bool): if ``True``, it will compute running averages for
2025-08-26T19:47:02.7578300Z             both the parameters and the buffers of the model. (default: ``False``)
2025-08-26T19:47:02.7578500Z 
2025-08-26T19:47:02.7578550Z     Example:
2025-08-26T19:47:02.7578710Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:02.7578930Z         >>> loader, optimizer, model, loss_fn = ...
2025-08-26T19:47:02.7579180Z         >>> swa_model = torch.optim.swa_utils.AveragedModel(model)
2025-08-26T19:47:02.7579490Z         >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer,
2025-08-26T19:47:02.7579770Z         >>>                                     T_max=300)
2025-08-26T19:47:02.7579960Z         >>> swa_start = 160
2025-08-26T19:47:02.7580140Z         >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05)
2025-08-26T19:47:02.7580350Z         >>> for i in range(300):
2025-08-26T19:47:02.7580530Z         >>>      for input, target in loader:
2025-08-26T19:47:02.7580730Z         >>>          optimizer.zero_grad()
2025-08-26T19:47:02.7581020Z         >>>          loss_fn(model(input), target).backward()
2025-08-26T19:47:02.7581230Z         >>>          optimizer.step()
2025-08-26T19:47:02.7581430Z         >>>      if i > swa_start:
2025-08-26T19:47:02.7581630Z         >>>          swa_model.update_parameters(model)
2025-08-26T19:47:02.7581840Z         >>>          swa_scheduler.step()
2025-08-26T19:47:02.7582010Z         >>>      else:
2025-08-26T19:47:02.7582160Z         >>>          scheduler.step()
2025-08-26T19:47:02.7582320Z         >>>
2025-08-26T19:47:02.7582490Z         >>> # Update bn statistics for the swa_model at the end
2025-08-26T19:47:02.7582750Z         >>> torch.optim.swa_utils.update_bn(loader, swa_model)
2025-08-26T19:47:02.7582910Z 
2025-08-26T19:47:02.7583100Z     You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters.
2025-08-26T19:47:02.7583460Z     If no averaging function is provided, the default is to compute
2025-08-26T19:47:02.7583740Z     equally-weighted average of the weights (SWA).
2025-08-26T19:47:02.7583890Z 
2025-08-26T19:47:02.7583940Z     Example:
2025-08-26T19:47:02.7584090Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:02.7584360Z         >>> # Compute exponential moving averages of the weights and buffers
2025-08-26T19:47:02.7584680Z         >>> ema_model = torch.optim.swa_utils.AveragedModel(model,
2025-08-26T19:47:02.7584990Z         >>>             torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True)
2025-08-26T19:47:02.7585190Z 
2025-08-26T19:47:02.7585240Z     .. note::
2025-08-26T19:47:02.7585440Z         When using SWA/EMA with models containing Batch Normalization you may
2025-08-26T19:47:02.7585770Z         need to update the activation statistics for Batch Normalization.
2025-08-26T19:47:02.7586110Z         This can be done either by using the :meth:`torch.optim.swa_utils.update_bn`
2025-08-26T19:47:02.7586460Z         or by setting :attr:`use_buffers` to `True`. The first approach updates the
2025-08-26T19:47:02.7586820Z         statistics in a post-training step by passing data through the model. The
2025-08-26T19:47:02.7587170Z         second does it during the parameter update phase by averaging all buffers.
2025-08-26T19:47:02.7587530Z         Empirical evidence has shown that updating the statistics in normalization
2025-08-26T19:47:02.7587880Z         layers increases accuracy, but you may wish to empirically test which
2025-08-26T19:47:02.7588180Z         approach yields the best results in your problem.
2025-08-26T19:47:02.7588340Z 
2025-08-26T19:47:02.7588380Z     .. note::
2025-08-26T19:47:02.7588620Z         :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model.
2025-08-26T19:47:02.7588840Z 
2025-08-26T19:47:02.7588880Z     .. note::
2025-08-26T19:47:02.7589090Z         When :meth:`update_parameters` is called for the first time (i.e.
2025-08-26T19:47:02.7589390Z         :attr:`n_averaged` is `0`) the parameters of `model` are copied
2025-08-26T19:47:02.7589690Z         to the parameters of :class:`AveragedModel`. For every subsequent
2025-08-26T19:47:02.7590000Z         call of :meth:`update_parameters` the function `avg_fn` is used
2025-08-26T19:47:02.7590250Z         to update the parameters.
2025-08-26T19:47:02.7590370Z 
2025-08-26T19:47:02.7590500Z     .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-08-26T19:47:02.7590770Z         https://arxiv.org/abs/1803.05407
2025-08-26T19:47:02.7591050Z     .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should
2025-08-26T19:47:02.7591300Z         Average:
2025-08-26T19:47:02.7591440Z         https://arxiv.org/abs/1806.05594
2025-08-26T19:47:02.7591690Z     .. _SWALP: Stochastic Weight Averaging in Low-Precision Training:
2025-08-26T19:47:02.7591950Z         https://arxiv.org/abs/1904.11943
2025-08-26T19:47:02.7592210Z     .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That
2025-08-26T19:47:02.7592470Z         Generalizes Well:
2025-08-26T19:47:02.7592710Z         https://arxiv.org/abs/2001.02312
2025-08-26T19:47:02.7592890Z     .. _Polyak averaging:
2025-08-26T19:47:02.7593090Z         https://paperswithcode.com/method/polyak-averaging
2025-08-26T19:47:02.7593340Z     
2025-08-26T19:47:02.7593550Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.7896080Z 
2025-08-26T19:47:02.7896640Z msg = Cannot scrape callname=SWALR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/swa_utils.py line=375.
2025-08-26T19:47:02.7897310Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.7897680Z Anneals the learning rate in each parameter group to a fixed value.
2025-08-26T19:47:02.7897890Z 
2025-08-26T19:47:02.7898040Z     This learning rate scheduler is meant to be used with Stochastic Weight
2025-08-26T19:47:02.7898400Z     Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`).
2025-08-26T19:47:02.7898600Z 
2025-08-26T19:47:02.7898670Z     Args:
2025-08-26T19:47:02.7898860Z         optimizer (torch.optim.Optimizer): wrapped optimizer
2025-08-26T19:47:02.7899170Z         swa_lrs (float or list): the learning rate value for all param groups
2025-08-26T19:47:02.7899460Z             together or separately for each group.
2025-08-26T19:47:02.7899950Z         annealing_epochs (int): number of epochs in the annealing phase
2025-08-26T19:47:02.7900210Z             (default: 10)
2025-08-26T19:47:02.7900450Z         annealing_strategy (str): "cos" or "linear"; specifies the annealing
2025-08-26T19:47:02.7900790Z             strategy: "cos" for cosine annealing, "linear" for linear annealing
2025-08-26T19:47:02.7901050Z             (default: "cos")
2025-08-26T19:47:02.7901280Z         last_epoch (int): the index of the last epoch (default: -1)
2025-08-26T19:47:02.7901470Z 
2025-08-26T19:47:02.7901580Z     The :class:`SWALR` scheduler can be used together with other
2025-08-26T19:47:02.7901910Z     schedulers to switch to a constant learning rate late in the training
2025-08-26T19:47:02.7902170Z     as in the example below.
2025-08-26T19:47:02.7902280Z 
2025-08-26T19:47:02.7902330Z     Example:
2025-08-26T19:47:02.7902490Z         >>> # xdoctest: +SKIP("Undefined variables")
2025-08-26T19:47:02.7902710Z         >>> loader, optimizer, model = ...
2025-08-26T19:47:02.7902920Z         >>> lr_lambda = lambda epoch: 0.9
2025-08-26T19:47:02.7903200Z         >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer,
2025-08-26T19:47:02.7903470Z         >>>        lr_lambda=lr_lambda)
2025-08-26T19:47:02.7903710Z         >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer,
2025-08-26T19:47:02.7904010Z         >>>        anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05)
2025-08-26T19:47:02.7904250Z         >>> swa_start = 160
2025-08-26T19:47:02.7904420Z         >>> for i in range(300):
2025-08-26T19:47:02.7904610Z         >>>      for input, target in loader:
2025-08-26T19:47:02.7904820Z         >>>          optimizer.zero_grad()
2025-08-26T19:47:02.7905040Z         >>>          loss_fn(model(input), target).backward()
2025-08-26T19:47:02.7905250Z         >>>          optimizer.step()
2025-08-26T19:47:02.7905440Z         >>>      if i > swa_start:
2025-08-26T19:47:02.7905620Z         >>>          swa_scheduler.step()
2025-08-26T19:47:02.7905810Z         >>>      else:
2025-08-26T19:47:02.7905960Z         >>>          scheduler.step()
2025-08-26T19:47:02.7906090Z 
2025-08-26T19:47:02.7906230Z     .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-08-26T19:47:02.7906520Z         https://arxiv.org/abs/1803.05407
2025-08-26T19:47:02.7906690Z     
2025-08-26T19:47:02.7906910Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.7907130Z 
2025-08-26T19:47:02.7907560Z msg = Cannot scrape callname=Optimizer.load_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/optimizer.py line=867.
2025-08-26T19:47:02.7908300Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.7908600Z Load the optimizer state.
2025-08-26T19:47:02.7908720Z 
2025-08-26T19:47:02.7908820Z         Args:
2025-08-26T19:47:02.7909020Z             state_dict (dict): optimizer state. Should be an object returned
2025-08-26T19:47:02.7909300Z                 from a call to :meth:`state_dict`.
2025-08-26T19:47:02.7909450Z 
2025-08-26T19:47:02.7909520Z         .. warning::
2025-08-26T19:47:02.7909820Z             Make sure this method is called after initializing :class:`torch.optim.lr_scheduler.LRScheduler`,
2025-08-26T19:47:02.7910230Z             as calling it beforehand will overwrite the loaded learning rates.
2025-08-26T19:47:02.7910440Z 
2025-08-26T19:47:02.7910490Z         .. note::
2025-08-26T19:47:02.7910750Z             The names of the parameters (if they exist under the "param_names" key of each param group
2025-08-26T19:47:02.7911110Z             in :meth:`state_dict`) will not affect the loading process.
2025-08-26T19:47:02.7911500Z             To use the parameters' names for custom cases (such as when the parameters in the loaded state dict
2025-08-26T19:47:02.7911860Z             differ from those initialized in the optimizer),
2025-08-26T19:47:02.7912220Z             a custom ``register_load_state_dict_pre_hook`` should be implemented to adapt the loaded dict
2025-08-26T19:47:02.7912580Z             accordingly.
2025-08-26T19:47:02.7912870Z             If ``param_names`` exist in loaded state dict ``param_groups`` they will be saved and override
2025-08-26T19:47:02.7913320Z             the current names, if present, in the optimizer state. If they do not exist in loaded state dict,
2025-08-26T19:47:02.7913690Z             the optimizer ``param_names`` will remain unchanged.
2025-08-26T19:47:02.7913860Z 
2025-08-26T19:47:02.7913900Z         Example:
2025-08-26T19:47:02.7914050Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:02.7914240Z             >>> model = torch.nn.Linear(10, 10)
2025-08-26T19:47:02.7914500Z             >>> optim = torch.optim.SGD(model.parameters(), lr=3e-4)
2025-08-26T19:47:02.7914780Z             >>> scheduler1 = torch.optim.lr_scheduler.LinearLR(
2025-08-26T19:47:02.7915000Z             ...     optim,
2025-08-26T19:47:02.7915160Z             ...     start_factor=0.1,
2025-08-26T19:47:02.7915340Z             ...     end_factor=1,
2025-08-26T19:47:02.7915520Z             ...     total_iters=20,
2025-08-26T19:47:02.7915680Z             ... )
2025-08-26T19:47:02.7915890Z             >>> scheduler2 = torch.optim.lr_scheduler.CosineAnnealingLR(
2025-08-26T19:47:02.7916130Z             ...     optim,
2025-08-26T19:47:02.7916280Z             ...     T_max=80,
2025-08-26T19:47:02.7916440Z             ...     eta_min=3e-5,
2025-08-26T19:47:02.7916600Z             ... )
2025-08-26T19:47:02.7916780Z             >>> lr = torch.optim.lr_scheduler.SequentialLR(
2025-08-26T19:47:02.7916990Z             ...     optim,
2025-08-26T19:47:02.7917180Z             ...     schedulers=[scheduler1, scheduler2],
2025-08-26T19:47:02.7917380Z             ...     milestones=[20],
2025-08-26T19:47:02.7917550Z             ... )
2025-08-26T19:47:02.7917730Z             >>> lr.load_state_dict(torch.load("./save_seq.pt"))
2025-08-26T19:47:02.7918030Z             >>> # now load the optimizer checkpoint after loading the LRScheduler
2025-08-26T19:47:02.7918330Z             >>> optim.load_state_dict(torch.load("./save_optim.pt"))
2025-08-26T19:47:02.7918510Z 
2025-08-26T19:47:02.7918560Z         
2025-08-26T19:47:02.7918780Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.7919000Z 
2025-08-26T19:47:02.7919440Z msg = Cannot scrape callname=SelectiveCheckpointContext in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1218.
2025-08-26T19:47:02.7920100Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.7920340Z 
2025-08-26T19:47:02.7920540Z Context passed to policy function during selective checkpointing.
2025-08-26T19:47:02.7920750Z 
2025-08-26T19:47:02.7920890Z This class is used to pass relevant metadata to the policy function during
2025-08-26T19:47:02.7921300Z selective checkpointing. The metadata includes whether the current invocation
2025-08-26T19:47:02.7921640Z of the policy function is during recomputation or not.
2025-08-26T19:47:02.7921810Z 
2025-08-26T19:47:02.7921860Z Example:
2025-08-26T19:47:02.7921980Z     >>> # xdoctest: +SKIP(stub)
2025-08-26T19:47:02.7922140Z     >>>
2025-08-26T19:47:02.7922280Z     >>> def policy_fn(ctx, op, *args, **kwargs):
2025-08-26T19:47:02.7922490Z     >>>    print(ctx.is_recompute)
2025-08-26T19:47:02.7922650Z     >>>
2025-08-26T19:47:02.7922890Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-08-26T19:47:02.7923170Z     >>>
2025-08-26T19:47:02.7923330Z     >>> out = torch.utils.checkpoint.checkpoint(
2025-08-26T19:47:02.7923540Z     >>>     fn, x, y,
2025-08-26T19:47:02.7923690Z     >>>     use_reentrant=False,
2025-08-26T19:47:02.7923870Z     >>>     context_fn=context_fn,
2025-08-26T19:47:02.7924030Z     >>> )
2025-08-26T19:47:02.7924100Z 
2025-08-26T19:47:02.7924260Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.7924510Z 
2025-08-26T19:47:02.7924970Z msg = Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1358.
2025-08-26T19:47:02.7925640Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.7925870Z 
2025-08-26T19:47:02.7926030Z Helper to avoid recomputing certain ops during activation checkpointing.
2025-08-26T19:47:02.7926240Z 
2025-08-26T19:47:02.7926380Z Use this with `torch.utils.checkpoint.checkpoint` to control which
2025-08-26T19:47:02.7926680Z operations are recomputed during the backward pass.
2025-08-26T19:47:02.7926850Z 
2025-08-26T19:47:02.7926890Z Args:
2025-08-26T19:47:02.7927030Z     policy_fn_or_list (Callable or List):
2025-08-26T19:47:02.7927270Z       - If a policy function is provided, it should accept a
2025-08-26T19:47:02.7927600Z         :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and
2025-08-26T19:47:02.7927960Z         kwargs to the op, and return a :class:`CheckpointPolicy` enum value
2025-08-26T19:47:02.7928310Z         indicating whether the execution of the op should be recomputed or not.
2025-08-26T19:47:02.7928660Z       - If a list of operations is provided, it is equivalent to a policy
2025-08-26T19:47:02.7928970Z         returning `CheckpointPolicy.MUST_SAVE` for the specified
2025-08-26T19:47:02.7929300Z         operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other
2025-08-26T19:47:02.7929550Z         operations.
2025-08-26T19:47:02.7929770Z     allow_cache_entry_mutation (bool, optional): By default, an error is
2025-08-26T19:47:02.7930100Z         raised if any tensors cached by selective activation checkpoint are
2025-08-26T19:47:02.7930430Z         mutated in order to ensure correctness. If set to `True`, this check
2025-08-26T19:47:02.7930670Z         is disabled.
2025-08-26T19:47:02.7930800Z Returns:
2025-08-26T19:47:02.7930920Z     A tuple of two context managers.
2025-08-26T19:47:02.7931050Z 
2025-08-26T19:47:02.7931090Z Example:
2025-08-26T19:47:02.7931220Z     >>> # xdoctest: +REQUIRES(LINUX)
2025-08-26T19:47:02.7931390Z     >>> import functools
2025-08-26T19:47:02.7931530Z     >>>
2025-08-26T19:47:02.7931660Z     >>> x = torch.rand(10, 10, requires_grad=True)
2025-08-26T19:47:02.7931870Z     >>> y = torch.rand(10, 10, requires_grad=True)
2025-08-26T19:47:02.7932050Z     >>>
2025-08-26T19:47:02.7932160Z     >>> ops_to_save = [
2025-08-26T19:47:02.7932320Z     >>>    torch.ops.aten.mm.default,
2025-08-26T19:47:02.7932490Z     >>> ]
2025-08-26T19:47:02.7932590Z     >>>
2025-08-26T19:47:02.7932730Z     >>> def policy_fn(ctx, op, *args, **kwargs):
2025-08-26T19:47:02.7932990Z     >>>    if op in ops_to_save:
2025-08-26T19:47:02.7933180Z     >>>        return CheckpointPolicy.MUST_SAVE
2025-08-26T19:47:02.7933360Z     >>>    else:
2025-08-26T19:47:02.7933570Z     >>>        return CheckpointPolicy.PREFER_RECOMPUTE
2025-08-26T19:47:02.7933770Z     >>>
2025-08-26T19:47:02.7933990Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-08-26T19:47:02.7934260Z     >>>
2025-08-26T19:47:02.7934370Z     >>> # or equivalently
2025-08-26T19:47:02.7934640Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save)
2025-08-26T19:47:02.7934910Z     >>>
2025-08-26T19:47:02.7935020Z     >>> def fn(x, y):
2025-08-26T19:47:02.7935230Z     >>>     return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y
2025-08-26T19:47:02.7935460Z     >>>
2025-08-26T19:47:02.7935600Z     >>> out = torch.utils.checkpoint.checkpoint(
2025-08-26T19:47:02.7935790Z     >>>     fn, x, y,
2025-08-26T19:47:02.7935940Z     >>>     use_reentrant=False,
2025-08-26T19:47:02.7936110Z     >>>     context_fn=context_fn,
2025-08-26T19:47:02.7936270Z     >>> )
2025-08-26T19:47:02.7936340Z 
2025-08-26T19:47:02.7936490Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.7936710Z 
2025-08-26T19:47:02.7937170Z msg = Cannot scrape callname=ThroughputBenchmark in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/throughput_benchmark.py line=61.
2025-08-26T19:47:02.7937820Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.7938040Z 
2025-08-26T19:47:02.7938220Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark.
2025-08-26T19:47:02.7938450Z 
2025-08-26T19:47:02.7938630Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible
2025-08-26T19:47:02.7939020Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference
2025-08-26T19:47:02.7939370Z server like load. It can emulate multiple calling threads to a single module
2025-08-26T19:47:02.7939720Z provided. In the future we plan to enhance this component to support inter and
2025-08-26T19:47:02.7940080Z intra-op parallelism as well as multiple models running in a single process.
2025-08-26T19:47:02.7940300Z 
2025-08-26T19:47:02.7940450Z Please note that even though nn.Module is supported, it might incur an overhead
2025-08-26T19:47:02.7940810Z from the need to hold GIL every time we execute Python code or pass around
2025-08-26T19:47:02.7941160Z inputs as Python objects. As soon as you have a ScriptModule version of your
2025-08-26T19:47:02.7941500Z model for inference deployment it is better to switch to using it in this
2025-08-26T19:47:02.7941750Z benchmark.
2025-08-26T19:47:02.7941820Z 
2025-08-26T19:47:02.7941870Z Example::
2025-08-26T19:47:02.7941930Z 
2025-08-26T19:47:02.7942000Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:02.7942220Z     >>> from torch.utils import ThroughputBenchmark
2025-08-26T19:47:02.7942450Z     >>> bench = ThroughputBenchmark(my_module)
2025-08-26T19:47:02.7942690Z     >>> # Pre-populate benchmark's data set with the inputs
2025-08-26T19:47:02.7942920Z     >>> for input in inputs:
2025-08-26T19:47:02.7943160Z     ...     # Both args and kwargs work, same as any PyTorch Module / ScriptModule
2025-08-26T19:47:02.7943440Z     ...     bench.add_input(input[0], x2=input[1])
2025-08-26T19:47:02.7943700Z     >>> # Inputs supplied above are randomly used during the execution
2025-08-26T19:47:02.7943940Z     >>> stats = bench.benchmark(
2025-08-26T19:47:02.7944110Z     ...     num_calling_threads=4,
2025-08-26T19:47:02.7944290Z     ...     num_warmup_iters = 100,
2025-08-26T19:47:02.7944460Z     ...     num_iters = 1000,
2025-08-26T19:47:02.7949770Z     ... )
2025-08-26T19:47:02.7949970Z     >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms))
2025-08-26T19:47:02.7950370Z     >>> print("Number of iterations: {}".format(stats.num_iters))
2025-08-26T19:47:02.7950560Z 
2025-08-26T19:47:02.7950710Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.7950970Z 
2025-08-26T19:47:02.7951420Z msg = Cannot scrape callname=register_pytree_node in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py line=134.
2025-08-26T19:47:02.7952050Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.7952360Z Register a container-like type as pytree node.
2025-08-26T19:47:02.7952510Z 
2025-08-26T19:47:02.7952550Z     Args:
2025-08-26T19:47:02.7952730Z         cls (type): A Python type to treat as an internal pytree node.
2025-08-26T19:47:02.7953080Z         flatten_fn (callable): A function to be used during flattening, taking an instance of
2025-08-26T19:47:02.7953470Z             ``cls`` and returning a pair, with (1) an iterable for the children to be flattened
2025-08-26T19:47:02.7953860Z             recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be
2025-08-26T19:47:02.7954170Z             passed to the ``unflatten_fn``.
2025-08-26T19:47:02.7954470Z         unflatten_fn (callable): A function taking two arguments: the auxiliary data that was
2025-08-26T19:47:02.7954910Z             returned by ``flatten_fn`` and stored in the treespec, and the unflattened children.
2025-08-26T19:47:02.7955240Z             The function should return an instance of ``cls``.
2025-08-26T19:47:02.7955560Z         serialized_type_name (str, optional): A keyword argument used to specify the fully
2025-08-26T19:47:02.7955890Z             qualified name used when serializing the tree spec.
2025-08-26T19:47:02.7956250Z         to_dumpable_context (callable, optional): An optional keyword argument to custom specify how
2025-08-26T19:47:02.7956670Z             to convert the context of the pytree to a custom json dumpable representation. This is
2025-08-26T19:47:02.7957060Z             used for json serialization, which is being used in :mod:`torch.export` right now.
2025-08-26T19:47:02.7957470Z         from_dumpable_context (callable, optional): An optional keyword argument to custom specify
2025-08-26T19:47:02.7957880Z             how to convert the custom json dumpable representation of the context back to the
2025-08-26T19:47:02.7958270Z             original context. This is used for json deserialization, which is being used in
2025-08-26T19:47:02.7958560Z             :mod:`torch.export` right now.
2025-08-26T19:47:02.7958690Z 
2025-08-26T19:47:02.7958740Z     Example::
2025-08-26T19:47:02.7958810Z 
2025-08-26T19:47:02.7958870Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:02.7959060Z         >>> # Registry a Python type with lambda functions
2025-08-26T19:47:02.7959270Z         >>> register_pytree_node(
2025-08-26T19:47:02.7959420Z         ...     set,
2025-08-26T19:47:02.7959590Z         ...     lambda s: (sorted(s), None, None),
2025-08-26T19:47:02.7959810Z         ...     lambda children, _: set(children),
2025-08-26T19:47:02.7959990Z         ... )
2025-08-26T19:47:02.7960100Z     
2025-08-26T19:47:02.7960320Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.7960540Z 
2025-08-26T19:47:02.7960940Z msg = Cannot scrape callname=CppExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1159.
2025-08-26T19:47:02.7961550Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.7961770Z 
2025-08-26T19:47:02.7961860Z Create a :class:`setuptools.Extension` for C++.
2025-08-26T19:47:02.7962010Z 
2025-08-26T19:47:02.7962160Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-08-26T19:47:02.7962510Z bare minimum (but often sufficient) arguments to build a C++ extension.
2025-08-26T19:47:02.7962710Z 
2025-08-26T19:47:02.7962830Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-08-26T19:47:02.7963160Z constructor. Full list arguments can be found at
2025-08-26T19:47:02.7963510Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-08-26T19:47:02.7963810Z 
2025-08-26T19:47:02.7963850Z .. warning::
2025-08-26T19:47:02.7964070Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-08-26T19:47:02.7964400Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-08-26T19:47:02.7964720Z     the user's responsibility in their library to not use APIs from
2025-08-26T19:47:02.7965050Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-08-26T19:47:02.7965390Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-08-26T19:47:02.7965720Z     example, to give access to custom ops from python, the library should
2025-08-26T19:47:02.7965990Z     register the ops through the dispatcher.
2025-08-26T19:47:02.7966130Z 
2025-08-26T19:47:02.7966270Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-08-26T19:47:02.7966590Z     as a compile flag when py_limited_api is specified as an option for
2025-08-26T19:47:02.7966910Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-08-26T19:47:02.7967230Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-08-26T19:47:02.7967600Z     safety, and sanity in order to encourage best practices. To target a
2025-08-26T19:47:02.7967930Z     different version, set min_supported_cpython to the hexcode of the
2025-08-26T19:47:02.7968180Z     CPython version of choice.
2025-08-26T19:47:02.7968290Z 
2025-08-26T19:47:02.7968330Z Example:
2025-08-26T19:47:02.7968450Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:02.7968640Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-26T19:47:02.7968860Z     >>> from setuptools import setup
2025-08-26T19:47:02.7969120Z     >>> from torch.utils.cpp_extension import BuildExtension, CppExtension
2025-08-26T19:47:02.7969360Z     >>> setup(
2025-08-26T19:47:02.7969490Z     ...     name='extension',
2025-08-26T19:47:02.7969650Z     ...     ext_modules=[
2025-08-26T19:47:02.7969800Z     ...         CppExtension(
2025-08-26T19:47:02.7969960Z     ...             name='extension',
2025-08-26T19:47:02.7970160Z     ...             sources=['extension.cpp'],
2025-08-26T19:47:02.7970360Z     ...             extra_compile_args=['-g'],
2025-08-26T19:47:02.7970590Z     ...             extra_link_args=['-Wl,--no-as-needed', '-lm'])
2025-08-26T19:47:02.7970790Z     ...     ],
2025-08-26T19:47:02.7970960Z     ...     cmdclass={
2025-08-26T19:47:02.7971110Z     ...         'build_ext': BuildExtension
2025-08-26T19:47:02.7971280Z     ...     })
2025-08-26T19:47:02.7971360Z 
2025-08-26T19:47:02.7971510Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.7971720Z 
2025-08-26T19:47:02.7972120Z msg = Cannot scrape callname=CUDAExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1229.
2025-08-26T19:47:02.7972730Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.7972950Z 
2025-08-26T19:47:02.7973050Z Create a :class:`setuptools.Extension` for CUDA/C++.
2025-08-26T19:47:02.7973220Z 
2025-08-26T19:47:02.7973360Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-08-26T19:47:02.7973690Z bare minimum (but often sufficient) arguments to build a CUDA/C++
2025-08-26T19:47:02.7974010Z extension. This includes the CUDA include path, library path and runtime
2025-08-26T19:47:02.7974260Z library.
2025-08-26T19:47:02.7974320Z 
2025-08-26T19:47:02.7974450Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-08-26T19:47:02.7974730Z constructor. Full list arguments can be found at
2025-08-26T19:47:02.7975070Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-08-26T19:47:02.7975330Z 
2025-08-26T19:47:02.7975430Z .. warning::
2025-08-26T19:47:02.7975650Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-08-26T19:47:02.7975980Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-08-26T19:47:02.7976320Z     the user's responsibility in their library to not use APIs from
2025-08-26T19:47:02.7976650Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-08-26T19:47:02.7976980Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-08-26T19:47:02.7977310Z     example, to give access to custom ops from python, the library should
2025-08-26T19:47:02.7977570Z     register the ops through the dispatcher.
2025-08-26T19:47:02.7977710Z 
2025-08-26T19:47:02.7977850Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-08-26T19:47:02.7978170Z     as a compile flag when py_limited_api is specified as an option for
2025-08-26T19:47:02.7978490Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-08-26T19:47:02.7978820Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-08-26T19:47:02.7979140Z     safety, and sanity in order to encourage best practices. To target a
2025-08-26T19:47:02.7979460Z     different version, set min_supported_cpython to the hexcode of the
2025-08-26T19:47:02.7979850Z     CPython version of choice.
2025-08-26T19:47:02.7979960Z 
2025-08-26T19:47:02.7980000Z Example:
2025-08-26T19:47:02.7980130Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:02.7980310Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-26T19:47:02.7980530Z     >>> from setuptools import setup
2025-08-26T19:47:02.7980790Z     >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension
2025-08-26T19:47:02.7981030Z     >>> setup(
2025-08-26T19:47:02.7981170Z     ...     name='cuda_extension',
2025-08-26T19:47:02.7981340Z     ...     ext_modules=[
2025-08-26T19:47:02.7981480Z     ...         CUDAExtension(
2025-08-26T19:47:02.7981660Z     ...                 name='cuda_extension',
2025-08-26T19:47:02.7981890Z     ...                 sources=['extension.cpp', 'extension_kernel.cu'],
2025-08-26T19:47:02.7982140Z     ...                 extra_compile_args={'cxx': ['-g'],
2025-08-26T19:47:02.7982350Z     ...                                     'nvcc': ['-O2']},
2025-08-26T19:47:02.7982590Z     ...                 extra_link_args=['-Wl,--no-as-needed', '-lcuda'])
2025-08-26T19:47:02.7982790Z     ...     ],
2025-08-26T19:47:02.7982910Z     ...     cmdclass={
2025-08-26T19:47:02.7983060Z     ...         'build_ext': BuildExtension
2025-08-26T19:47:02.7983230Z     ...     })
2025-08-26T19:47:02.7983310Z 
2025-08-26T19:47:02.7983360Z Compute capabilities:
2025-08-26T19:47:02.7983450Z 
2025-08-26T19:47:02.7983630Z By default the extension will be compiled to run on all archs of the cards visible during the
2025-08-26T19:47:02.7984040Z building process of the extension, plus PTX. If down the road a new card is installed the
2025-08-26T19:47:02.7984460Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's
2025-08-26T19:47:02.7984880Z newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch
2025-08-26T19:47:02.7985300Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does
2025-08-26T19:47:02.7985610Z support (see below for details on PTX).
2025-08-26T19:47:02.7985750Z 
2025-08-26T19:47:02.7985930Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which
2025-08-26T19:47:02.7986240Z CCs you want the extension to support:
2025-08-26T19:47:02.7986370Z 
2025-08-26T19:47:02.7986490Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py``
2025-08-26T19:47:02.7986810Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py``
2025-08-26T19:47:02.7987020Z 
2025-08-26T19:47:02.7987280Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified
2025-08-26T19:47:02.7987720Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >=
2025-08-26T19:47:02.7988160Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with
2025-08-26T19:47:02.7988600Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to
2025-08-26T19:47:02.7989030Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on
2025-08-26T19:47:02.7989460Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better
2025-08-26T19:47:02.7989870Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6,
2025-08-26T19:47:02.7990310Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but
2025-08-26T19:47:02.7990620Z "8.0 8.6" would be better.
2025-08-26T19:47:02.7990720Z 
2025-08-26T19:47:02.7990910Z Note that while it's possible to include all supported archs, the more archs get included the
2025-08-26T19:47:02.7991330Z slower the building process will be, as it will build a separate kernel image for each arch.
2025-08-26T19:47:02.7991570Z 
2025-08-26T19:47:02.7991770Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows.
2025-08-26T19:47:02.7992190Z To workaround the issue, move python binding logic to pure C++ file.
2025-08-26T19:47:02.7992390Z 
2025-08-26T19:47:02.7992440Z Example use:
2025-08-26T19:47:02.7992560Z     #include <ATen/ATen.h>
2025-08-26T19:47:02.7992760Z     at::Tensor SigmoidAlphaBlendForwardCuda(....)
2025-08-26T19:47:02.7992920Z 
2025-08-26T19:47:02.7992970Z Instead of:
2025-08-26T19:47:02.7993100Z     #include <torch/extension.h>
2025-08-26T19:47:02.7993310Z     torch::Tensor SigmoidAlphaBlendForwardCuda(...)
2025-08-26T19:47:02.7993480Z 
2025-08-26T19:47:02.7993650Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460
2025-08-26T19:47:02.7994180Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48
2025-08-26T19:47:02.7994540Z 
2025-08-26T19:47:02.7994600Z Relocatable device code linking:
2025-08-26T19:47:02.7994730Z 
2025-08-26T19:47:02.7994890Z If you want to reference device symbols across compilation units (across object files),
2025-08-26T19:47:02.7995280Z the object files need to be built with `relocatable device code` (-rdc=true or -dc).
2025-08-26T19:47:02.7995720Z An exception to this rule is "dynamic parallelism" (nested kernel launches)  which is not used a lot anymore.
2025-08-26T19:47:02.7996220Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it.
2025-08-26T19:47:02.7996670Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step
2025-08-26T19:47:02.7997040Z helps reduce the protentional perf degradation of `-rdc`.
2025-08-26T19:47:02.7997310Z Note that it needs to be used at both steps to be useful.
2025-08-26T19:47:02.7997470Z 
2025-08-26T19:47:02.7997700Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step.
2025-08-26T19:47:02.7998080Z There is also a case where `-dlink` is used without `-rdc`:
2025-08-26T19:47:02.7998410Z when an extension is linked against a static lib containing rdc-compiled objects
2025-08-26T19:47:02.7998770Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem).
2025-08-26T19:47:02.7998960Z 
2025-08-26T19:47:02.7999080Z Note: Ninja is required to build a CUDA Extension with RDC linking.
2025-08-26T19:47:02.7999270Z 
2025-08-26T19:47:02.7999310Z Example:
2025-08-26T19:47:02.7999430Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:02.7999620Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-26T19:47:02.7999820Z     >>> CUDAExtension(
2025-08-26T19:47:02.7999970Z     ...        name='cuda_extension',
2025-08-26T19:47:02.8000370Z     ...        sources=['extension.cpp', 'extension_kernel.cu'],
2025-08-26T19:47:02.8000600Z     ...        dlink=True,
2025-08-26T19:47:02.8000770Z     ...        dlink_libraries=["dlink_lib"],
2025-08-26T19:47:02.8001010Z     ...        extra_compile_args={'cxx': ['-g'],
2025-08-26T19:47:02.8001230Z     ...                            'nvcc': ['-O2', '-rdc=true']})
2025-08-26T19:47:02.8001380Z 
2025-08-26T19:47:02.8001530Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.9367560Z 
2025-08-26T19:47:02.9368220Z msg = Cannot scrape callname=SyclExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1420.
2025-08-26T19:47:02.9368920Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.9369160Z 
2025-08-26T19:47:02.9369260Z Creates a :class:`setuptools.Extension` for SYCL/C++.
2025-08-26T19:47:02.9369430Z 
2025-08-26T19:47:02.9369600Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-08-26T19:47:02.9369950Z bare minimum (but often sufficient) arguments to build a SYCL/C++
2025-08-26T19:47:02.9370200Z extension.
2025-08-26T19:47:02.9370270Z 
2025-08-26T19:47:02.9370400Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-08-26T19:47:02.9370750Z constructor.
2025-08-26T19:47:02.9370830Z 
2025-08-26T19:47:02.9370890Z .. warning::
2025-08-26T19:47:02.9371110Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-08-26T19:47:02.9371450Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-08-26T19:47:02.9371780Z     the user's responsibility in their library to not use APIs from
2025-08-26T19:47:02.9372120Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-08-26T19:47:02.9372460Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-08-26T19:47:02.9372810Z     example, to give access to custom ops from python, the library should
2025-08-26T19:47:02.9373090Z     register the ops through the dispatcher.
2025-08-26T19:47:02.9373230Z 
2025-08-26T19:47:02.9373370Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-08-26T19:47:02.9373710Z     as a compile flag when py_limited_api is specified as an option for
2025-08-26T19:47:02.9374040Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-08-26T19:47:02.9374370Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-08-26T19:47:02.9374710Z     safety, and sanity in order to encourage best practices. To target a
2025-08-26T19:47:02.9375040Z     different version, set min_supported_cpython to the hexcode of the
2025-08-26T19:47:02.9375310Z     CPython version of choice.
2025-08-26T19:47:02.9375420Z 
2025-08-26T19:47:02.9375470Z Example:
2025-08-26T19:47:02.9375590Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:02.9375790Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-26T19:47:02.9376100Z     >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension
2025-08-26T19:47:02.9376360Z     >>> setup(
2025-08-26T19:47:02.9376500Z     ...     name='xpu_extension',
2025-08-26T19:47:02.9376670Z     ...     ext_modules=[
2025-08-26T19:47:02.9376830Z     ...     SyclExtension(
2025-08-26T19:47:02.9377000Z     ...                 name='xpu_extension',
2025-08-26T19:47:02.9377240Z     ...                 sources=['extension.cpp', 'extension_kernel.cpp'],
2025-08-26T19:47:02.9377540Z     ...                 extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']})
2025-08-26T19:47:02.9377770Z     ...     ],
2025-08-26T19:47:02.9377890Z     ...     cmdclass={
2025-08-26T19:47:02.9378050Z     ...         'build_ext': BuildExtension
2025-08-26T19:47:02.9378230Z     ...     })
2025-08-26T19:47:02.9378310Z 
2025-08-26T19:47:02.9378490Z By default the extension will be compiled to run on all archs of the cards visible during the
2025-08-26T19:47:02.9378990Z building process of the extension. If down the road a new card is installed the
2025-08-26T19:47:02.9379380Z extension may need to be recompiled. You can override the default behavior using
2025-08-26T19:47:02.9379800Z `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension
2025-08-26T19:47:02.9380160Z to support:
2025-08-26T19:47:02.9380230Z 
2025-08-26T19:47:02.9380370Z ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py``
2025-08-26T19:47:02.9380570Z 
2025-08-26T19:47:02.9380750Z Note that while it's possible to include all supported archs, the more archs get included the
2025-08-26T19:47:02.9381190Z slower the building process will be, as it will build a separate kernel image for each arch.
2025-08-26T19:47:02.9381440Z 
2025-08-26T19:47:02.9381530Z Note: Ninja is required to build SyclExtension.
2025-08-26T19:47:02.9381690Z 
2025-08-26T19:47:02.9381840Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.9382070Z 
2025-08-26T19:47:02.9382450Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1597.
2025-08-26T19:47:02.9383040Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.9383260Z 
2025-08-26T19:47:02.9383380Z Load a PyTorch C++ extension just-in-time (JIT).
2025-08-26T19:47:02.9383530Z 
2025-08-26T19:47:02.9383660Z To load an extension, a Ninja build file is emitted, which is used to
2025-08-26T19:47:02.9383980Z compile the given sources into a dynamic library. This library is
2025-08-26T19:47:02.9384300Z subsequently loaded into the current Python process as a module and
2025-08-26T19:47:02.9384570Z returned from this function, ready for use.
2025-08-26T19:47:02.9384710Z 
2025-08-26T19:47:02.9384840Z By default, the directory to which the build file is emitted and the
2025-08-26T19:47:02.9385170Z resulting library compiled to is ``<tmp>/torch_extensions/<name>``, where
2025-08-26T19:47:02.9385500Z ``<tmp>`` is the temporary folder on the current platform and ``<name>``
2025-08-26T19:47:02.9385820Z the name of the extension. This location can be overridden in two ways.
2025-08-26T19:47:02.9386140Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it
2025-08-26T19:47:02.9386470Z replaces ``<tmp>/torch_extensions`` and all extensions will be compiled
2025-08-26T19:47:02.9386800Z into subfolders of this directory. Second, if the ``build_directory``
2025-08-26T19:47:02.9387150Z argument to this function is supplied, it overrides the entire path, i.e.
2025-08-26T19:47:02.9387460Z the library will be compiled into that folder directly.
2025-08-26T19:47:02.9387630Z 
2025-08-26T19:47:02.9387770Z To compile the sources, the default system compiler (``c++``) is used,
2025-08-26T19:47:02.9388110Z which can be overridden by setting the ``CXX`` environment variable. To pass
2025-08-26T19:47:02.9388450Z additional arguments to the compilation process, ``extra_cflags`` or
2025-08-26T19:47:02.9388790Z ``extra_ldflags`` can be provided. For example, to compile your extension
2025-08-26T19:47:02.9389120Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use
2025-08-26T19:47:02.9389410Z ``extra_cflags`` to pass further include directories.
2025-08-26T19:47:02.9389570Z 
2025-08-26T19:47:02.9389720Z CUDA support with mixed compilation is provided. Simply pass CUDA source
2025-08-26T19:47:02.9390040Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be
2025-08-26T19:47:02.9390360Z detected and compiled with nvcc rather than the C++ compiler. This includes
2025-08-26T19:47:02.9390690Z passing the CUDA lib64 directory as a library directory, and linking
2025-08-26T19:47:02.9395930Z ``cudart``. You can pass additional flags to nvcc via
2025-08-26T19:47:02.9396210Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various
2025-08-26T19:47:02.9396540Z heuristics for finding the CUDA install directory are used, which usually
2025-08-26T19:47:02.9396950Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the
2025-08-26T19:47:02.9397200Z safest option.
2025-08-26T19:47:02.9397280Z 
2025-08-26T19:47:02.9397420Z SYCL support with mixed compilation is provided. Simply pass SYCL source
2025-08-26T19:47:02.9397780Z files (``.sycl``) along with other sources. Such files will be detected
2025-08-26T19:47:02.9398110Z and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather
2025-08-26T19:47:02.9398430Z than the C++ compiler. You can pass additional flags to SYCL compiler
2025-08-26T19:47:02.9398740Z via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++.
2025-08-26T19:47:02.9399050Z SYCL compiler is expected to be found via system PATH environment
2025-08-26T19:47:02.9399280Z variable.
2025-08-26T19:47:02.9399350Z 
2025-08-26T19:47:02.9399390Z Args:
2025-08-26T19:47:02.9399590Z     name: The name of the extension to build. This MUST be the same as the
2025-08-26T19:47:02.9399840Z         name of the pybind11 module!
2025-08-26T19:47:02.9400090Z     sources: A list of relative or absolute paths to C++ source files.
2025-08-26T19:47:02.9400410Z     extra_cflags: optional list of compiler flags to forward to the build.
2025-08-26T19:47:02.9400750Z     extra_cuda_cflags: optional list of compiler flags to forward to nvcc
2025-08-26T19:47:02.9401050Z         when building CUDA sources.
2025-08-26T19:47:02.9401310Z     extra_sycl_cflags: optional list of compiler flags to forward to SYCL
2025-08-26T19:47:02.9401580Z         compiler when building SYCL sources.
2025-08-26T19:47:02.9401850Z     extra_ldflags: optional list of linker flags to forward to the build.
2025-08-26T19:47:02.9402170Z     extra_include_paths: optional list of include directories to forward
2025-08-26T19:47:02.9402420Z         to the build.
2025-08-26T19:47:02.9402620Z     build_directory: optional path to use as build workspace.
2025-08-26T19:47:02.9402900Z     verbose: If ``True``, turns on verbose logging of load steps.
2025-08-26T19:47:02.9403210Z     with_cuda: Determines whether CUDA headers and libraries are added to
2025-08-26T19:47:02.9403510Z         the build. If set to ``None`` (default), this value is
2025-08-26T19:47:02.9403810Z         automatically determined based on the existence of ``.cu`` or
2025-08-26T19:47:02.9404110Z         ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers
2025-08-26T19:47:02.9404340Z         and libraries to be included.
2025-08-26T19:47:02.9404600Z     with_sycl: Determines whether SYCL headers and libraries are added to
2025-08-26T19:47:02.9404900Z         the build. If set to ``None`` (default), this value is
2025-08-26T19:47:02.9405190Z         automatically determined based on the existence of ``.sycl`` in
2025-08-26T19:47:02.9405480Z         ``sources``. Set it to `True`` to force SYCL headers and
2025-08-26T19:47:02.9405700Z         libraries to be included.
2025-08-26T19:47:02.9405940Z     is_python_module: If ``True`` (default), imports the produced shared
2025-08-26T19:47:02.9406250Z         library as a Python module. If ``False``, behavior depends on
2025-08-26T19:47:02.9406480Z         ``is_standalone``.
2025-08-26T19:47:02.9406710Z     is_standalone: If ``False`` (default) loads the constructed extension
2025-08-26T19:47:02.9407030Z         into the process as a plain dynamic library. If ``True``, build a
2025-08-26T19:47:02.9407270Z         standalone executable.
2025-08-26T19:47:02.9407380Z 
2025-08-26T19:47:02.9407430Z Returns:
2025-08-26T19:47:02.9407550Z     If ``is_python_module`` is ``True``:
2025-08-26T19:47:02.9407790Z         Returns the loaded PyTorch extension as a Python module.
2025-08-26T19:47:02.9407960Z 
2025-08-26T19:47:02.9408090Z     If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``:
2025-08-26T19:47:02.9408410Z         Returns nothing. (The shared library is loaded into the process as
2025-08-26T19:47:02.9408660Z         a side effect.)
2025-08-26T19:47:02.9408750Z 
2025-08-26T19:47:02.9408810Z     If ``is_standalone`` is ``True``.
2025-08-26T19:47:02.9409100Z         Return the path to the executable. (On Windows, TORCH_LIB_PATH is
2025-08-26T19:47:02.9409400Z         added to the PATH environment variable as a side effect.)
2025-08-26T19:47:02.9409580Z 
2025-08-26T19:47:02.9409640Z Example:
2025-08-26T19:47:02.9409760Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:02.9409950Z     >>> from torch.utils.cpp_extension import load
2025-08-26T19:47:02.9410150Z     >>> module = load(
2025-08-26T19:47:02.9410300Z     ...     name='extension',
2025-08-26T19:47:02.9410500Z     ...     sources=['extension.cpp', 'extension_kernel.cu'],
2025-08-26T19:47:02.9410720Z     ...     extra_cflags=['-O2'],
2025-08-26T19:47:02.9410890Z     ...     verbose=True)
2025-08-26T19:47:02.9410990Z 
2025-08-26T19:47:02.9411150Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.9411370Z 
2025-08-26T19:47:02.9411760Z msg = Cannot scrape callname=load_inline in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1882.
2025-08-26T19:47:02.9412350Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.9412580Z 
2025-08-26T19:47:02.9412710Z Load a PyTorch C++ extension just-in-time (JIT) from string sources.
2025-08-26T19:47:02.9412910Z 
2025-08-26T19:47:02.9413080Z This function behaves exactly like :func:`load`, but takes its sources as
2025-08-26T19:47:02.9413420Z strings rather than filenames. These strings are stored to files in the
2025-08-26T19:47:02.9413750Z build directory, after which the behavior of :func:`load_inline` is
2025-08-26T19:47:02.9414000Z identical to :func:`load`.
2025-08-26T19:47:02.9414100Z 
2025-08-26T19:47:02.9414140Z See `the
2025-08-26T19:47:02.9414410Z tests <https://github.com/pytorch/pytorch/blob/master/test/test_cpp_extensions_jit.py>`_
2025-08-26T19:47:02.9414730Z for good examples of using this function.
2025-08-26T19:47:02.9414870Z 
2025-08-26T19:47:02.9415000Z Sources may omit two required parts of a typical non-inline C++ extension:
2025-08-26T19:47:02.9415360Z the necessary header includes, as well as the (pybind11) binding code. More
2025-08-26T19:47:02.9415720Z precisely, strings passed to ``cpp_sources`` are first concatenated into a
2025-08-26T19:47:02.9416040Z single ``.cpp`` file. This file is then prepended with ``#include
2025-08-26T19:47:02.9416280Z <torch/extension.h>``
2025-08-26T19:47:02.9416380Z 
2025-08-26T19:47:02.9416510Z Furthermore, if the ``functions`` argument is supplied, bindings will be
2025-08-26T19:47:02.9416860Z automatically generated for each function specified. ``functions`` can
2025-08-26T19:47:02.9417200Z either be a list of function names, or a dictionary mapping from function
2025-08-26T19:47:02.9417530Z names to docstrings. If a list is given, the name of each function is used
2025-08-26T19:47:02.9417780Z as its docstring.
2025-08-26T19:47:02.9417860Z 
2025-08-26T19:47:02.9417990Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu``
2025-08-26T19:47:02.9418290Z file and  prepended with ``torch/types.h``, ``cuda.h`` and
2025-08-26T19:47:02.9418590Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled
2025-08-26T19:47:02.9418910Z separately, but ultimately linked into a single library. Note that no
2025-08-26T19:47:02.9419250Z bindings are generated for functions in ``cuda_sources`` per se. To bind
2025-08-26T19:47:02.9419580Z to a CUDA kernel, you must create a C++ function that calls it, and either
2025-08-26T19:47:02.9419910Z declare or define this C++ function in one of the ``cpp_sources`` (and
2025-08-26T19:47:02.9420160Z include its name in ``functions``).
2025-08-26T19:47:02.9420280Z 
2025-08-26T19:47:02.9420410Z The sources in ``sycl_sources`` are concatenated into a separate ``.sycl``
2025-08-26T19:47:02.9420740Z file and  prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes.
2025-08-26T19:47:02.9421060Z The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately
2025-08-26T19:47:02.9421450Z linked into a single library. Note that no bindings are generated for
2025-08-26T19:47:02.9421780Z functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must
2025-08-26T19:47:02.9422100Z create a C++ function that calls it, and either declare or define this
2025-08-26T19:47:02.9422440Z C++ function in one of the ``cpp_sources`` (and include its name
2025-08-26T19:47:02.9422670Z in ``functions``).
2025-08-26T19:47:02.9422760Z 
2025-08-26T19:47:02.9422760Z 
2025-08-26T19:47:02.9422770Z 
2025-08-26T19:47:02.9422880Z See :func:`load` for a description of arguments omitted below.
2025-08-26T19:47:02.9423050Z 
2025-08-26T19:47:02.9423100Z Args:
2025-08-26T19:47:02.9423300Z     cpp_sources: A string, or list of strings, containing C++ source code.
2025-08-26T19:47:02.9423630Z     cuda_sources: A string, or list of strings, containing CUDA source code.
2025-08-26T19:47:02.9423970Z     sycl_sources: A string, or list of strings, containing SYCL source code.
2025-08-26T19:47:02.9424300Z     functions: A list of function names for which to generate function
2025-08-26T19:47:02.9424620Z         bindings. If a dictionary is given, it should map function names to
2025-08-26T19:47:02.9424930Z         docstrings (which are otherwise just the function names).
2025-08-26T19:47:02.9425240Z     with_cuda: Determines whether CUDA headers and libraries are added to
2025-08-26T19:47:02.9425580Z         the build. If set to ``None`` (default), this value is
2025-08-26T19:47:02.9425870Z         automatically determined based on whether ``cuda_sources`` is
2025-08-26T19:47:02.9426150Z         provided. Set it to ``True`` to force CUDA headers
2025-08-26T19:47:02.9426360Z         and libraries to be included.
2025-08-26T19:47:02.9426620Z     with_sycl: Determines whether SYCL headers and libraries are added to
2025-08-26T19:47:02.9426910Z         the build. If set to ``None`` (default), this value is
2025-08-26T19:47:02.9427210Z         automatically determined based on whether ``sycl_sources`` is
2025-08-26T19:47:02.9427490Z         provided. Set it to ``True`` to force SYCL headers
2025-08-26T19:47:02.9427700Z         and libraries to be included.
2025-08-26T19:47:02.9427960Z     with_pytorch_error_handling: Determines whether pytorch error and
2025-08-26T19:47:02.9428280Z         warning macros are handled by pytorch instead of pybind. To do
2025-08-26T19:47:02.9428600Z         this, each function ``foo`` is called via an intermediary ``_safe_foo``
2025-08-26T19:47:02.9428930Z         function. This redirection might cause issues in obscure cases
2025-08-26T19:47:02.9429220Z         of cpp. This flag should be set to ``False`` when this redirect
2025-08-26T19:47:02.9429450Z         causes issues.
2025-08-26T19:47:02.9429700Z     no_implicit_headers: If ``True``, skips automatically adding headers, most notably
2025-08-26T19:47:02.9430060Z         ``#include <torch/extension.h>`` and ``#include <torch/types.h>`` lines.
2025-08-26T19:47:02.9430350Z         Use this option to improve cold start times when you
2025-08-26T19:47:02.9430670Z         already include the necessary headers in your source code. Default: ``False``.
2025-08-26T19:47:02.9430900Z 
2025-08-26T19:47:02.9430940Z Example:
2025-08-26T19:47:02.9431100Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-26T19:47:02.9431350Z     >>> from torch.utils.cpp_extension import load_inline
2025-08-26T19:47:02.9431560Z     >>> source = """
2025-08-26T19:47:02.9431740Z     at::Tensor sin_add(at::Tensor x, at::Tensor y) {
2025-08-26T19:47:02.9431950Z       return x.sin() + y.sin();
2025-08-26T19:47:02.9432100Z     }
2025-08-26T19:47:02.9432200Z     """
2025-08-26T19:47:02.9432340Z     >>> module = load_inline(name='inline_extension',
2025-08-26T19:47:02.9432560Z     ...                      cpp_sources=[source],
2025-08-26T19:47:02.9432760Z     ...                      functions=['sin_add'])
2025-08-26T19:47:02.9432900Z 
2025-08-26T19:47:02.9432950Z .. note::
2025-08-26T19:47:02.9433160Z     Since load_inline will just-in-time compile the source code, please ensure
2025-08-26T19:47:02.9433570Z     that you have the right toolchains installed in the runtime. For example,
2025-08-26T19:47:02.9433910Z     when loading C++, make sure a C++ compiler is available. If you're loading
2025-08-26T19:47:02.9434300Z     a CUDA extension, you will need to additionally install the corresponding CUDA
2025-08-26T19:47:02.9434660Z     toolkit (nvcc and any other dependencies your code has). Compiling toolchains
2025-08-26T19:47:02.9435030Z     are not included when you install torch and must be additionally installed.
2025-08-26T19:47:02.9435250Z 
2025-08-26T19:47:02.9435410Z     During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build
2025-08-26T19:47:02.9435770Z     the extension. This may use up too many resources on some systems. One
2025-08-26T19:47:02.9436110Z     can control the number of workers by setting the `MAX_JOBS` environment
2025-08-26T19:47:02.9436370Z     variable to a non-negative number.
2025-08-26T19:47:02.9436500Z 
2025-08-26T19:47:02.9436660Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.9524620Z 
2025-08-26T19:47:02.9525310Z msg = Cannot scrape callname=DistributedSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/distributed.py line=18.
2025-08-26T19:47:02.9526150Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.9526510Z Sampler that restricts data loading to a subset of the dataset.
2025-08-26T19:47:02.9526710Z 
2025-08-26T19:47:02.9526790Z     It is especially useful in conjunction with
2025-08-26T19:47:02.9527100Z     :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each
2025-08-26T19:47:02.9527490Z     process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a
2025-08-26T19:47:02.9527870Z     :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the
2025-08-26T19:47:02.9528160Z     original dataset that is exclusive to it.
2025-08-26T19:47:02.9528310Z 
2025-08-26T19:47:02.9528360Z     .. note::
2025-08-26T19:47:02.9528600Z         Dataset is assumed to be of constant size and that any instance of it always
2025-08-26T19:47:02.9528900Z         returns the same elements in the same order.
2025-08-26T19:47:02.9529060Z 
2025-08-26T19:47:02.9529110Z     Args:
2025-08-26T19:47:02.9529250Z         dataset: Dataset used for sampling.
2025-08-26T19:47:02.9529530Z         num_replicas (int, optional): Number of processes participating in
2025-08-26T19:47:02.9529890Z             distributed training. By default, :attr:`world_size` is retrieved from the
2025-08-26T19:47:02.9530180Z             current distributed group.
2025-08-26T19:47:02.9530460Z         rank (int, optional): Rank of the current process within :attr:`num_replicas`.
2025-08-26T19:47:02.9530810Z             By default, :attr:`rank` is retrieved from the current distributed
2025-08-26T19:47:02.9531050Z             group.
2025-08-26T19:47:02.9531280Z         shuffle (bool, optional): If ``True`` (default), sampler will shuffle the
2025-08-26T19:47:02.9531540Z             indices.
2025-08-26T19:47:02.9531750Z         seed (int, optional): random seed used to shuffle the sampler if
2025-08-26T19:47:02.9532070Z             :attr:`shuffle=True`. This number should be identical across all
2025-08-26T19:47:02.9532370Z             processes in the distributed group. Default: ``0``.
2025-08-26T19:47:02.9532690Z         drop_last (bool, optional): if ``True``, then the sampler will drop the
2025-08-26T19:47:02.9533020Z             tail of the data to make it evenly divisible across the number of
2025-08-26T19:47:02.9533330Z             replicas. If ``False``, the sampler will add extra indices to make
2025-08-26T19:47:02.9533660Z             the data evenly divisible across the replicas. Default: ``False``.
2025-08-26T19:47:02.9533860Z 
2025-08-26T19:47:02.9533910Z     .. warning::
2025-08-26T19:47:02.9534120Z         In distributed mode, calling the :meth:`set_epoch` method at
2025-08-26T19:47:02.9534540Z         the beginning of each epoch **before** creating the :class:`DataLoader` iterator
2025-08-26T19:47:02.9534940Z         is necessary to make shuffling work properly across multiple epochs. Otherwise,
2025-08-26T19:47:02.9535270Z         the same ordering will be always used.
2025-08-26T19:47:02.9535420Z 
2025-08-26T19:47:02.9535470Z     Example::
2025-08-26T19:47:02.9535550Z 
2025-08-26T19:47:02.9535600Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:02.9535850Z         >>> sampler = DistributedSampler(dataset) if is_distributed else None
2025-08-26T19:47:02.9536160Z         >>> loader = DataLoader(dataset, shuffle=(sampler is None),
2025-08-26T19:47:02.9536400Z         ...                     sampler=sampler)
2025-08-26T19:47:02.9536620Z         >>> for epoch in range(start_epoch, n_epochs):
2025-08-26T19:47:02.9536820Z         ...     if is_distributed:
2025-08-26T19:47:02.9537000Z         ...         sampler.set_epoch(epoch)
2025-08-26T19:47:02.9537190Z         ...     train(loader)
2025-08-26T19:47:02.9537340Z     
2025-08-26T19:47:02.9537560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.9537780Z 
2025-08-26T19:47:02.9538190Z msg = Cannot scrape callname=WeightedRandomSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/sampler.py line=227.
2025-08-26T19:47:02.9538850Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.9539230Z Samples elements from ``[0,..,len(weights)-1]`` with given probabilities (weights).
2025-08-26T19:47:02.9539450Z 
2025-08-26T19:47:02.9539490Z     Args:
2025-08-26T19:47:02.9539710Z         weights (sequence)   : a sequence of weights, not necessary summing up to one
2025-08-26T19:47:02.9540000Z         num_samples (int): number of samples to draw
2025-08-26T19:47:02.9540280Z         replacement (bool): if ``True``, samples are drawn with replacement.
2025-08-26T19:47:02.9540600Z             If not, they are drawn without replacement, which means that when a
2025-08-26T19:47:02.9540930Z             sample index is drawn for a row, it cannot be drawn again for that row.
2025-08-26T19:47:02.9541230Z         generator (Generator): Generator used in sampling.
2025-08-26T19:47:02.9541390Z 
2025-08-26T19:47:02.9541430Z     Example:
2025-08-26T19:47:02.9541600Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-26T19:47:02.9541790Z         >>> list(
2025-08-26T19:47:02.9541930Z         ...     WeightedRandomSampler(
2025-08-26T19:47:02.9542150Z         ...         [0.1, 0.9, 0.4, 0.7, 3.0, 0.6], 5, replacement=True
2025-08-26T19:47:02.9542350Z         ...     )
2025-08-26T19:47:02.9542470Z         ... )
2025-08-26T19:47:02.9542590Z         [4, 4, 1, 4, 5]
2025-08-26T19:47:02.9542720Z         >>> list(
2025-08-26T19:47:02.9542860Z         ...     WeightedRandomSampler(
2025-08-26T19:47:02.9543080Z         ...         [0.9, 0.4, 0.05, 0.2, 0.3, 0.1], 5, replacement=False
2025-08-26T19:47:02.9543280Z         ...     )
2025-08-26T19:47:02.9543400Z         ... )
2025-08-26T19:47:02.9543520Z         [0, 1, 4, 3, 2]
2025-08-26T19:47:02.9543650Z     
2025-08-26T19:47:02.9543860Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.9544080Z 
2025-08-26T19:47:02.9544460Z msg = Cannot scrape callname=BatchSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/sampler.py line=300.
2025-08-26T19:47:02.9545080Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.9545400Z Wraps another sampler to yield a mini-batch of indices.
2025-08-26T19:47:02.9545570Z 
2025-08-26T19:47:02.9545610Z     Args:
2025-08-26T19:47:02.9545820Z         sampler (Sampler or Iterable): Base sampler. Can be any iterable object
2025-08-26T19:47:02.9546100Z         batch_size (int): Size of mini-batch.
2025-08-26T19:47:02.9546360Z         drop_last (bool): If ``True``, the sampler will drop the last batch if
2025-08-26T19:47:02.9546690Z             its size would be less than ``batch_size``
2025-08-26T19:47:02.9546840Z 
2025-08-26T19:47:02.9546890Z     Example:
2025-08-26T19:47:02.9547000Z         >>> list(
2025-08-26T19:47:02.9547160Z         ...     BatchSampler(
2025-08-26T19:47:02.9547400Z         ...         SequentialSampler(range(10)), batch_size=3, drop_last=False
2025-08-26T19:47:02.9547630Z         ...     )
2025-08-26T19:47:02.9547750Z         ... )
2025-08-26T19:47:02.9547890Z         [[0, 1, 2], [3, 4, 5], [6, 7, 8], [9]]
2025-08-26T19:47:02.9548050Z         >>> list(
2025-08-26T19:47:02.9548290Z         ...     BatchSampler(SequentialSampler(range(10)), batch_size=3, drop_last=True)
2025-08-26T19:47:02.9548550Z         ... )
2025-08-26T19:47:02.9548680Z         [[0, 1, 2], [3, 4, 5], [6, 7, 8]]
2025-08-26T19:47:02.9548840Z     
2025-08-26T19:47:02.9549050Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.9549270Z 
2025-08-26T19:47:02.9549680Z msg = Cannot scrape callname=IterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py line=56.
2025-08-26T19:47:02.9550310Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.9550560Z 
2025-08-26T19:47:02.9550610Z Iterable-style DataPipe.
2025-08-26T19:47:02.9550720Z 
2025-08-26T19:47:02.9550880Z All DataPipes that represent an iterable of data samples should subclass this.
2025-08-26T19:47:02.9551240Z This style of DataPipes is particularly useful when data come from a stream, or
2025-08-26T19:47:02.9551670Z when the number of samples is too large to fit them all in memory. ``IterDataPipe`` is lazily initialized and its
2025-08-26T19:47:02.9552130Z elements are computed only when ``next()`` is called on the iterator of an ``IterDataPipe``.
2025-08-26T19:47:02.9552370Z 
2025-08-26T19:47:02.9552510Z All subclasses should overwrite :meth:`__iter__`, which would return an
2025-08-26T19:47:02.9552920Z iterator of samples in this DataPipe. Calling ``__iter__`` of an ``IterDataPipe`` automatically invokes its
2025-08-26T19:47:02.9553410Z method ``reset()``, which by default performs no operation. When writing a custom ``IterDataPipe``, users should
2025-08-26T19:47:02.9553860Z override ``reset()`` if necessary. The common usages include resetting buffers, pointers,
2025-08-26T19:47:02.9554220Z and various state variables within the custom ``IterDataPipe``.
2025-08-26T19:47:02.9554400Z 
2025-08-26T19:47:02.9554440Z Note:
2025-08-26T19:47:02.9554640Z     Only `one` iterator can be valid for each ``IterDataPipe`` at a time,
2025-08-26T19:47:02.9555030Z     and the creation a second iterator will invalidate the first one. This constraint is necessary because
2025-08-26T19:47:02.9555530Z     some ``IterDataPipe`` have internal buffers, whose states can become invalid if there are multiple iterators.
2025-08-26T19:47:02.9555990Z     The code example below presents details on how this constraint looks in practice.
2025-08-26T19:47:02.9556430Z     If you have any feedback related to this constraint, please see `GitHub IterDataPipe Single Iterator Issue`_.
2025-08-26T19:47:02.9556720Z 
2025-08-26T19:47:02.9556890Z These DataPipes can be invoked in two ways, using the class constructor or applying their
2025-08-26T19:47:02.9557340Z functional form onto an existing ``IterDataPipe`` (recommended, available to most but not all DataPipes).
2025-08-26T19:47:02.9557810Z You can chain multiple `IterDataPipe` together to form a pipeline that will perform multiple
2025-08-26T19:47:02.9558120Z operations in succession.
2025-08-26T19:47:02.9562810Z 
2025-08-26T19:47:02.9562910Z .. _GitHub IterDataPipe Single Iterator Issue:
2025-08-26T19:47:02.9563170Z     https://github.com/pytorch/data/issues/45
2025-08-26T19:47:02.9563320Z 
2025-08-26T19:47:02.9563360Z Note:
2025-08-26T19:47:02.9563570Z     When a subclass is used with :class:`~torch.utils.data.DataLoader`, each
2025-08-26T19:47:02.9564040Z     item in the DataPipe will be yielded from the :class:`~torch.utils.data.DataLoader`
2025-08-26T19:47:02.9564410Z     iterator. When :attr:`num_workers > 0`, each worker process will have a
2025-08-26T19:47:02.9564800Z     different copy of the DataPipe object, so it is often desired to configure
2025-08-26T19:47:02.9565150Z     each copy independently to avoid having duplicate data returned from the
2025-08-26T19:47:02.9565510Z     workers. :func:`~torch.utils.data.get_worker_info`, when called in a worker
2025-08-26T19:47:02.9565870Z     process, returns information about the worker. It can be used in either the
2025-08-26T19:47:02.9566240Z     dataset's :meth:`__iter__` method or the :class:`~torch.utils.data.DataLoader` 's
2025-08-26T19:47:02.9566570Z     :attr:`worker_init_fn` option to modify each copy's behavior.
2025-08-26T19:47:02.9566740Z 
2025-08-26T19:47:02.9566790Z Examples:
2025-08-26T19:47:02.9566900Z     General Usage:
2025-08-26T19:47:02.9567040Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:02.9567280Z         >>> from torchdata.datapipes.iter import IterableWrapper, Mapper
2025-08-26T19:47:02.9567540Z         >>> dp = IterableWrapper(range(10))
2025-08-26T19:47:02.9567800Z         >>> map_dp_1 = Mapper(dp, lambda x: x + 1)  # Using class constructor
2025-08-26T19:47:02.9568040Z         >>> map_dp_2 = dp.map(
2025-08-26T19:47:02.9568240Z         ...     lambda x: x + 1
2025-08-26T19:47:02.9568430Z         ... )  # Using functional form (recommended)
2025-08-26T19:47:02.9568630Z         >>> list(map_dp_1)
2025-08-26T19:47:02.9568780Z         [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
2025-08-26T19:47:02.9568950Z         >>> list(map_dp_2)
2025-08-26T19:47:02.9569100Z         [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
2025-08-26T19:47:02.9569320Z         >>> filter_dp = map_dp_1.filter(lambda x: x % 2 == 0)
2025-08-26T19:47:02.9569530Z         >>> list(filter_dp)
2025-08-26T19:47:02.9569680Z         [2, 4, 6, 8, 10]
2025-08-26T19:47:02.9569840Z     Single Iterator Constraint Example:
2025-08-26T19:47:02.9570100Z         >>> from torchdata.datapipes.iter import IterableWrapper, Mapper
2025-08-26T19:47:02.9570370Z         >>> source_dp = IterableWrapper(range(10))
2025-08-26T19:47:02.9570570Z         >>> it1 = iter(source_dp)
2025-08-26T19:47:02.9570730Z         >>> list(it1)
2025-08-26T19:47:02.9570870Z         [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
2025-08-26T19:47:02.9571040Z         >>> it1 = iter(source_dp)
2025-08-26T19:47:02.9571200Z         >>> it2 = iter(
2025-08-26T19:47:02.9571340Z         ...     source_dp
2025-08-26T19:47:02.9571540Z         ... )  # The creation of a new iterator invalidates `it1`
2025-08-26T19:47:02.9571760Z         >>> next(it2)
2025-08-26T19:47:02.9571890Z         0
2025-08-26T19:47:02.9572080Z         >>> next(it1)  # Further usage of `it1` will raise a `RunTimeError`
2025-08-26T19:47:02.9572270Z 
2025-08-26T19:47:02.9572430Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.9781590Z 
2025-08-26T19:47:02.9782250Z msg = Cannot scrape callname=FileOpenerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py line=18.
2025-08-26T19:47:02.9783000Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.9783230Z 
2025-08-26T19:47:02.9783460Z Given pathnames, opens files and yield pathname and file stream in a tuple (functional name: ``open_files``).
2025-08-26T19:47:02.9783750Z 
2025-08-26T19:47:02.9783800Z Args:
2025-08-26T19:47:02.9783970Z     datapipe: Iterable datapipe that provides pathnames
2025-08-26T19:47:02.9784250Z     mode: An optional string that specifies the mode in which
2025-08-26T19:47:02.9784560Z         the file is opened by ``open()``. It defaults to ``r``, other options are
2025-08-26T19:47:02.9784860Z         ``b`` for reading in binary mode and ``t`` for text mode.
2025-08-26T19:47:02.9785160Z     encoding: An optional string that specifies the encoding of the
2025-08-26T19:47:02.9785630Z         underlying file. It defaults to ``None`` to match the default encoding of ``open``.
2025-08-26T19:47:02.9785940Z     length: Nominal length of the datapipe
2025-08-26T19:47:02.9786090Z 
2025-08-26T19:47:02.9786170Z Note:
2025-08-26T19:47:02.9786410Z     The opened file handles will be closed by Python's GC periodically. Users can choose
2025-08-26T19:47:02.9786710Z     to close them explicitly.
2025-08-26T19:47:02.9786820Z 
2025-08-26T19:47:02.9786870Z Example:
2025-08-26T19:47:02.9787000Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:02.9787180Z     >>> from torchdata.datapipes.iter import (
2025-08-26T19:47:02.9787370Z     ...     FileLister,
2025-08-26T19:47:02.9787520Z     ...     FileOpener,
2025-08-26T19:47:02.9787660Z     ...     StreamReader,
2025-08-26T19:47:02.9787790Z     ... )
2025-08-26T19:47:02.9787990Z     >>> dp = FileLister(root=".").filter(lambda fname: fname.endswith(".txt"))
2025-08-26T19:47:02.9788240Z     >>> dp = FileOpener(dp)
2025-08-26T19:47:02.9788400Z     >>> dp = StreamReader(dp)
2025-08-26T19:47:02.9788560Z     >>> list(dp)
2025-08-26T19:47:02.9788690Z     [('./abc.txt', 'abc')]
2025-08-26T19:47:02.9788790Z 
2025-08-26T19:47:02.9788940Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.9789160Z 
2025-08-26T19:47:02.9789610Z msg = Cannot scrape callname=GrouperIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py line=155.
2025-08-26T19:47:02.9790330Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.9790550Z 
2025-08-26T19:47:02.9790800Z Groups data from IterDataPipe by keys from ``group_key_fn``, yielding a ``DataChunk`` with batch size up to ``group_size``.
2025-08-26T19:47:02.9791100Z 
2025-08-26T19:47:02.9791160Z (functional name: ``groupby``).
2025-08-26T19:47:02.9791280Z 
2025-08-26T19:47:02.9791500Z The samples are read sequentially from the source ``datapipe``, and a batch of samples belonging to the same group
2025-08-26T19:47:02.9791980Z will be yielded as soon as the size of the batch reaches ``group_size``. When the buffer is full,
2025-08-26T19:47:02.9792400Z the DataPipe will yield the largest batch with the same key, provided that its size is larger
2025-08-26T19:47:02.9792840Z than ``guaranteed_group_size``. If its size is smaller, it will be dropped if ``drop_remaining=True``.
2025-08-26T19:47:02.9793100Z 
2025-08-26T19:47:02.9793320Z After iterating through the entirety of source ``datapipe``, everything not dropped due to the buffer capacity
2025-08-26T19:47:02.9793800Z will be yielded from the buffer, even if the group sizes are smaller than ``guaranteed_group_size``.
2025-08-26T19:47:02.9794050Z 
2025-08-26T19:47:02.9794100Z Args:
2025-08-26T19:47:02.9794230Z     datapipe: Iterable datapipe to be grouped
2025-08-26T19:47:02.9794540Z     group_key_fn: Function used to generate group key from the data of the source datapipe
2025-08-26T19:47:02.9794920Z     keep_key: Option to yield the matching key along with the items in a tuple,
2025-08-26T19:47:02.9795240Z         resulting in `(key, [items])` otherwise returning [items]
2025-08-26T19:47:02.9795510Z     buffer_size: The size of buffer for ungrouped data
2025-08-26T19:47:02.9795830Z     group_size: The max size of each group, a batch is yielded as soon as it reaches this size
2025-08-26T19:47:02.9796270Z     guaranteed_group_size: The guaranteed minimum group size to be yielded in case the buffer is full
2025-08-26T19:47:02.9796740Z     drop_remaining: Specifies if the group smaller than ``guaranteed_group_size`` will be dropped from buffer
2025-08-26T19:47:02.9797080Z         when the buffer is full
2025-08-26T19:47:02.9797190Z 
2025-08-26T19:47:02.9797230Z Example:
2025-08-26T19:47:02.9797350Z     >>> import os
2025-08-26T19:47:02.9797480Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:02.9797680Z     >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-26T19:47:02.9797910Z     >>> def group_fn(file):
2025-08-26T19:47:02.9798150Z     ...     return os.path.basename(file).split(".")[0]
2025-08-26T19:47:02.9798380Z     >>> source_dp = IterableWrapper(
2025-08-26T19:47:02.9798600Z     ...     ["a.png", "b.png", "a.json", "b.json", "a.jpg", "c.json"]
2025-08-26T19:47:02.9798840Z     ... )
2025-08-26T19:47:02.9798990Z     >>> dp0 = source_dp.groupby(group_key_fn=group_fn)
2025-08-26T19:47:02.9799190Z     >>> list(dp0)
2025-08-26T19:47:02.9799370Z     [['a.png', 'a.json', 'a.jpg'], ['b.png', 'b.json'], ['c.json']]
2025-08-26T19:47:02.9799650Z     >>> # A group is yielded as soon as its size equals to `group_size`
2025-08-26T19:47:02.9799950Z     >>> dp1 = source_dp.groupby(group_key_fn=group_fn, group_size=2)
2025-08-26T19:47:02.9800170Z     >>> list(dp1)
2025-08-26T19:47:02.9800350Z     [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']]
2025-08-26T19:47:02.9800730Z     >>> # Scenario where `buffer` is full, and group 'a' needs to be yielded since its size > `guaranteed_group_size`
2025-08-26T19:47:02.9801060Z     >>> dp2 = source_dp.groupby(
2025-08-26T19:47:02.9801240Z     ...     group_key_fn=group_fn,
2025-08-26T19:47:02.9801420Z     ...     buffer_size=3,
2025-08-26T19:47:02.9801570Z     ...     group_size=3,
2025-08-26T19:47:02.9801740Z     ...     guaranteed_group_size=2,
2025-08-26T19:47:02.9801910Z     ... )
2025-08-26T19:47:02.9802060Z     >>> list(dp2)
2025-08-26T19:47:02.9802240Z     [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']]
2025-08-26T19:47:02.9802410Z 
2025-08-26T19:47:02.9802570Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.9802780Z 
2025-08-26T19:47:02.9803260Z msg = Cannot scrape callname=DemultiplexerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=375.
2025-08-26T19:47:02.9803950Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.9804170Z 
2025-08-26T19:47:02.9804440Z Splits the input DataPipe into multiple child DataPipes, using the given classification function (functional name: ``demux``).
2025-08-26T19:47:02.9804770Z 
2025-08-26T19:47:02.9804890Z A list of the child DataPipes is returned from this operation.
2025-08-26T19:47:02.9805070Z 
2025-08-26T19:47:02.9805110Z Args:
2025-08-26T19:47:02.9805250Z     datapipe: Iterable DataPipe being filtered
2025-08-26T19:47:02.9805510Z     num_instances: number of instances of the DataPipe to create
2025-08-26T19:47:02.9805910Z     classifier_fn: a function that maps values to an integer within the range ``[0, num_instances - 1]`` or ``None``
2025-08-26T19:47:02.9806390Z     drop_none: defaults to ``False``, if ``True``, the function will skip over elements classified as ``None``
2025-08-26T19:47:02.9806840Z     buffer_size: this defines the maximum number of inputs that the buffer can hold across all child
2025-08-26T19:47:02.9807200Z         DataPipes while waiting for their values to be yielded.
2025-08-26T19:47:02.9807490Z         Defaults to ``1000``. Use ``-1`` for the unlimited buffer.
2025-08-26T19:47:02.9807660Z 
2025-08-26T19:47:02.9807710Z Examples:
2025-08-26T19:47:02.9807850Z     >>> # xdoctest: +REQUIRES(module:torchdata)
2025-08-26T19:47:02.9808100Z     >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-26T19:47:02.9808330Z     >>> def odd_or_even(n):
2025-08-26T19:47:02.9808480Z     ...     return n % 2
2025-08-26T19:47:02.9808650Z     >>> source_dp = IterableWrapper(range(5))
2025-08-26T19:47:02.9808920Z     >>> dp1, dp2 = source_dp.demux(num_instances=2, classifier_fn=odd_or_even)
2025-08-26T19:47:02.9809150Z     >>> list(dp1)
2025-08-26T19:47:02.9809280Z     [0, 2, 4]
2025-08-26T19:47:02.9809390Z     >>> list(dp2)
2025-08-26T19:47:02.9809510Z     [1, 3]
2025-08-26T19:47:02.9809720Z     >>> # It can also filter out any element that gets `None` from the `classifier_fn`
2025-08-26T19:47:02.9809990Z     >>> def odd_or_even_no_zero(n):
2025-08-26T19:47:02.9810190Z     ...     return n % 2 if n != 0 else None
2025-08-26T19:47:02.9810430Z     >>> dp1, dp2 = source_dp.demux(
2025-08-26T19:47:02.9810690Z     ...     num_instances=2, classifier_fn=odd_or_even_no_zero, drop_none=True
2025-08-26T19:47:02.9810920Z     ... )
2025-08-26T19:47:02.9811060Z     >>> list(dp1)
2025-08-26T19:47:02.9811180Z     [2, 4]
2025-08-26T19:47:02.9811290Z     >>> list(dp2)
2025-08-26T19:47:02.9811410Z     [1, 3]
2025-08-26T19:47:02.9811470Z 
2025-08-26T19:47:02.9811630Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.9811840Z 
2025-08-26T19:47:02.9812320Z msg = Cannot scrape callname=MultiplexerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=594.
2025-08-26T19:47:02.9812990Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.9813210Z 
2025-08-26T19:47:02.9813400Z Yields one element at a time from each of the input Iterable DataPipes (functional name: ``mux``).
2025-08-26T19:47:02.9813650Z 
2025-08-26T19:47:02.9813860Z As in, one element from the 1st input DataPipe, then one element from the 2nd DataPipe in the next iteration,
2025-08-26T19:47:02.9814260Z and so on. It ends when the shortest input DataPipe is exhausted.
2025-08-26T19:47:02.9814440Z 
2025-08-26T19:47:02.9814520Z Args:
2025-08-26T19:47:02.9814820Z     datapipes: Iterable DataPipes that will take turn to yield their elements, until the shortest DataPipe is exhausted
2025-08-26T19:47:02.9815130Z 
2025-08-26T19:47:02.9815180Z Example:
2025-08-26T19:47:02.9815310Z     >>> # xdoctest: +REQUIRES(module:torchdata)
2025-08-26T19:47:02.9815560Z     >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-26T19:47:02.9815780Z     >>> dp1, dp2, dp3 = (
2025-08-26T19:47:02.9815950Z     ...     IterableWrapper(range(3)),
2025-08-26T19:47:02.9816140Z     ...     IterableWrapper(range(10, 15)),
2025-08-26T19:47:02.9816340Z     ...     IterableWrapper(range(20, 25)),
2025-08-26T19:47:02.9816520Z     ... )
2025-08-26T19:47:02.9816640Z     >>> list(dp1.mux(dp2, dp3))
2025-08-26T19:47:02.9816810Z     [0, 10, 20, 1, 11, 21, 2, 12, 22]
2025-08-26T19:47:02.9816930Z 
2025-08-26T19:47:02.9817080Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.9817300Z 
2025-08-26T19:47:02.9817750Z msg = Cannot scrape callname=ZipperIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=665.
2025-08-26T19:47:02.9818420Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:02.9818650Z 
2025-08-26T19:47:02.9818830Z Aggregates elements into a tuple from each of the input DataPipes (functional name: ``zip``).
2025-08-26T19:47:02.9819080Z 
2025-08-26T19:47:02.9819220Z The output is stopped as soon as the shortest input DataPipe is exhausted.
2025-08-26T19:47:02.9819440Z 
2025-08-26T19:47:02.9819480Z Args:
2025-08-26T19:47:02.9819630Z     *datapipes: Iterable DataPipes being aggregated
2025-08-26T19:47:02.9819790Z 
2025-08-26T19:47:02.9819840Z Example:
2025-08-26T19:47:02.9819980Z     >>> # xdoctest: +REQUIRES(module:torchdata)
2025-08-26T19:47:02.9820230Z     >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-26T19:47:02.9820450Z     >>> dp1, dp2, dp3 = (
2025-08-26T19:47:02.9820610Z     ...     IterableWrapper(range(5)),
2025-08-26T19:47:02.9820810Z     ...     IterableWrapper(range(10, 15)),
2025-08-26T19:47:02.9821010Z     ...     IterableWrapper(range(20, 25)),
2025-08-26T19:47:02.9821190Z     ... )
2025-08-26T19:47:02.9821310Z     >>> list(dp1.zip(dp2, dp3))
2025-08-26T19:47:02.9821500Z     [(0, 10, 20), (1, 11, 21), (2, 12, 22), (3, 13, 23), (4, 14, 24)]
2025-08-26T19:47:02.9821660Z 
2025-08-26T19:47:02.9821810Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:02.9822030Z 
2025-08-26T19:47:03.6881070Z msg = Cannot scrape callname=assert_close in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/testing/_comparison.py line=1331.
2025-08-26T19:47:03.6881800Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:03.6882210Z Asserts that ``actual`` and ``expected`` are close.
2025-08-26T19:47:03.6882380Z 
2025-08-26T19:47:03.6882630Z     If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if
2025-08-26T19:47:03.6882920Z 
2025-08-26T19:47:03.6882990Z     .. math::
2025-08-26T19:47:03.6883070Z 
2025-08-26T19:47:03.6883310Z         \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert
2025-08-26T19:47:03.6883610Z 
2025-08-26T19:47:03.6883830Z     Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are
2025-08-26T19:47:03.6884250Z     only considered equal to each other if ``equal_nan`` is ``True``.
2025-08-26T19:47:03.6884450Z 
2025-08-26T19:47:03.6884580Z     In addition, they are only considered close if they have the same
2025-08-26T19:47:03.6884780Z 
2025-08-26T19:47:03.6884910Z     - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``),
2025-08-26T19:47:03.6885190Z     - ``dtype`` (if ``check_dtype`` is ``True``),
2025-08-26T19:47:03.6885500Z     - ``layout`` (if ``check_layout`` is ``True``), and
2025-08-26T19:47:03.6885750Z     - stride (if ``check_stride`` is ``True``).
2025-08-26T19:47:03.6885910Z 
2025-08-26T19:47:03.6886100Z     If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed.
2025-08-26T19:47:03.6886370Z 
2025-08-26T19:47:03.6886600Z     If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are
2025-08-26T19:47:03.6887150Z     checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR,
2025-08-26T19:47:03.6887610Z     or ``ccol_indices``  and ``row_indices`` for CSC and BSC layouts, respectively,
2025-08-26T19:47:03.6888070Z     are always checked for equality whereas the values are checked for closeness according to the definition above.
2025-08-26T19:47:03.6888380Z 
2025-08-26T19:47:03.6888560Z     If ``actual`` and ``expected`` are quantized, they are considered close if they have the same
2025-08-26T19:47:03.6889030Z     :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the
2025-08-26T19:47:03.6889370Z     definition above.
2025-08-26T19:47:03.6889470Z 
2025-08-26T19:47:03.6889660Z     ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which
2025-08-26T19:47:03.6890160Z     :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types
2025-08-26T19:47:03.6890690Z     have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s
2025-08-26T19:47:03.6891210Z     or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all
2025-08-26T19:47:03.6891640Z     their elements are considered close according to the above definition.
2025-08-26T19:47:03.6891850Z 
2025-08-26T19:47:03.6891900Z     .. note::
2025-08-26T19:47:03.6891980Z 
2025-08-26T19:47:03.6892190Z         Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e.
2025-08-26T19:47:03.6892660Z         :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus,
2025-08-26T19:47:03.6893110Z         Python scalars of different types can be checked, but require ``check_dtype=False``.
2025-08-26T19:47:03.6893350Z 
2025-08-26T19:47:03.6893390Z     Args:
2025-08-26T19:47:03.6893520Z         actual (Any): Actual input.
2025-08-26T19:47:03.6893710Z         expected (Any): Expected input.
2025-08-26T19:47:03.6894120Z         allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types
2025-08-26T19:47:03.6894510Z             are allowed. Otherwise type equality is required.
2025-08-26T19:47:03.6894900Z         rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default
2025-08-26T19:47:03.6895380Z             values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-08-26T19:47:03.6895830Z         atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default
2025-08-26T19:47:03.6896270Z             values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-08-26T19:47:03.6896660Z         equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal.
2025-08-26T19:47:03.6897060Z         check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same
2025-08-26T19:47:03.6897460Z             :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different
2025-08-26T19:47:03.6897830Z             :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared.
2025-08-26T19:47:03.6898250Z         check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this
2025-08-26T19:47:03.6898770Z             check is disabled, tensors with different ``dtype``'s are promoted  to a common ``dtype`` (according to
2025-08-26T19:47:03.6899140Z             :func:`torch.promote_types`) before being compared.
2025-08-26T19:47:03.6899520Z         check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this
2025-08-26T19:47:03.6900010Z             check is disabled, tensors with different ``layout``'s are converted to strided tensors before being
2025-08-26T19:47:03.6900320Z             compared.
2025-08-26T19:47:03.6900640Z         check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride.
2025-08-26T19:47:03.6901140Z         msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during
2025-08-26T19:47:03.6901640Z             the comparison. Can also passed as callable in which case it will be called with the generated message and
2025-08-26T19:47:03.6901990Z             should return the new message.
2025-08-26T19:47:03.6902130Z 
2025-08-26T19:47:03.6902180Z     Raises:
2025-08-26T19:47:03.6902400Z         ValueError: If no :class:`torch.Tensor` can be constructed from an input.
2025-08-26T19:47:03.6902720Z         ValueError: If only ``rtol`` or ``atol`` is specified.
2025-08-26T19:47:03.6903090Z         AssertionError: If corresponding inputs are not Python scalars and are not directly related.
2025-08-26T19:47:03.6903580Z         AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have
2025-08-26T19:47:03.6903920Z             different types.
2025-08-26T19:47:03.6904260Z         AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match.
2025-08-26T19:47:03.6904770Z         AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match.
2025-08-26T19:47:03.6905270Z         AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`.
2025-08-26T19:47:03.6905710Z         AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same
2025-08-26T19:47:03.6911600Z             :attr:`~torch.Tensor.layout`.
2025-08-26T19:47:03.6911890Z         AssertionError: If only one of corresponding tensors is quantized.
2025-08-26T19:47:03.6912330Z         AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s.
2025-08-26T19:47:03.6912810Z         AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same
2025-08-26T19:47:03.6913140Z             :attr:`~torch.Tensor.device`.
2025-08-26T19:47:03.6913570Z         AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``.
2025-08-26T19:47:03.6914060Z         AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride.
2025-08-26T19:47:03.6914600Z         AssertionError: If the values of corresponding tensors are not close according to the definition above.
2025-08-26T19:47:03.6914880Z 
2025-08-26T19:47:03.6915100Z     The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching
2025-08-26T19:47:03.6915470Z     ``dtype``'s, the maximum of both tolerances is used.
2025-08-26T19:47:03.6915630Z 
2025-08-26T19:47:03.6915720Z     +---------------------------+------------+----------+
2025-08-26T19:47:03.6915950Z     | ``dtype``                 | ``rtol``   | ``atol`` |
2025-08-26T19:47:03.6916160Z     +===========================+============+==========+
2025-08-26T19:47:03.6916380Z     | :attr:`~torch.float16`    | ``1e-3``   | ``1e-5`` |
2025-08-26T19:47:03.6916620Z     +---------------------------+------------+----------+
2025-08-26T19:47:03.6916850Z     | :attr:`~torch.bfloat16`   | ``1.6e-2`` | ``1e-5`` |
2025-08-26T19:47:03.6917070Z     +---------------------------+------------+----------+
2025-08-26T19:47:03.6917430Z     | :attr:`~torch.float32`    | ``1.3e-6`` | ``1e-5`` |
2025-08-26T19:47:03.6917650Z     +---------------------------+------------+----------+
2025-08-26T19:47:03.6917880Z     | :attr:`~torch.float64`    | ``1e-7``   | ``1e-7`` |
2025-08-26T19:47:03.6918100Z     +---------------------------+------------+----------+
2025-08-26T19:47:03.6918320Z     | :attr:`~torch.complex32`  | ``1e-3``   | ``1e-5`` |
2025-08-26T19:47:03.6918540Z     +---------------------------+------------+----------+
2025-08-26T19:47:03.6918770Z     | :attr:`~torch.complex64`  | ``1.3e-6`` | ``1e-5`` |
2025-08-26T19:47:03.6918990Z     +---------------------------+------------+----------+
2025-08-26T19:47:03.6919220Z     | :attr:`~torch.complex128` | ``1e-7``   | ``1e-7`` |
2025-08-26T19:47:03.6919440Z     +---------------------------+------------+----------+
2025-08-26T19:47:03.6919670Z     | :attr:`~torch.quint8`     | ``1.3e-6`` | ``1e-5`` |
2025-08-26T19:47:03.6919890Z     +---------------------------+------------+----------+
2025-08-26T19:47:03.6920110Z     | :attr:`~torch.quint2x4`   | ``1.3e-6`` | ``1e-5`` |
2025-08-26T19:47:03.6920330Z     +---------------------------+------------+----------+
2025-08-26T19:47:03.6920550Z     | :attr:`~torch.quint4x2`   | ``1.3e-6`` | ``1e-5`` |
2025-08-26T19:47:03.6920770Z     +---------------------------+------------+----------+
2025-08-26T19:47:03.6920990Z     | :attr:`~torch.qint8`      | ``1.3e-6`` | ``1e-5`` |
2025-08-26T19:47:03.6921210Z     +---------------------------+------------+----------+
2025-08-26T19:47:03.6921430Z     | :attr:`~torch.qint32`     | ``1.3e-6`` | ``1e-5`` |
2025-08-26T19:47:03.6921650Z     +---------------------------+------------+----------+
2025-08-26T19:47:03.6921860Z     | other                     | ``0.0``    | ``0.0``  |
2025-08-26T19:47:03.6922080Z     +---------------------------+------------+----------+
2025-08-26T19:47:03.6922220Z 
2025-08-26T19:47:03.6922270Z     .. note::
2025-08-26T19:47:03.6922340Z 
2025-08-26T19:47:03.6922580Z         :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged
2025-08-26T19:47:03.6923080Z         to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might
2025-08-26T19:47:03.6923510Z         define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default:
2025-08-26T19:47:03.6923730Z 
2025-08-26T19:47:03.6923790Z         >>> import functools
2025-08-26T19:47:03.6924060Z         >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0)
2025-08-26T19:47:03.6924340Z         >>> assert_equal(1e-9, 1e-10)
2025-08-26T19:47:03.6924580Z         Traceback (most recent call last):
2025-08-26T19:47:03.6924760Z         ...
2025-08-26T19:47:03.6924900Z         AssertionError: Scalars are not equal!
2025-08-26T19:47:03.6925090Z         <BLANKLINE>
2025-08-26T19:47:03.6925270Z         Expected 1e-10 but got 1e-09.
2025-08-26T19:47:03.6925480Z         Absolute difference: 9.000000000000001e-10
2025-08-26T19:47:03.6925680Z         Relative difference: 9.0
2025-08-26T19:47:03.6925790Z 
2025-08-26T19:47:03.6925840Z     Examples:
2025-08-26T19:47:03.6925980Z         >>> # tensor to tensor comparison
2025-08-26T19:47:03.6926190Z         >>> expected = torch.tensor([1e0, 1e-1, 1e-2])
2025-08-26T19:47:03.6926420Z         >>> actual = torch.acos(torch.cos(expected))
2025-08-26T19:47:03.6926650Z         >>> torch.testing.assert_close(actual, expected)
2025-08-26T19:47:03.6926810Z 
2025-08-26T19:47:03.6926870Z         >>> # scalar to scalar comparison
2025-08-26T19:47:03.6927050Z         >>> import math
2025-08-26T19:47:03.6927210Z         >>> expected = math.sqrt(2.0)
2025-08-26T19:47:03.6927400Z         >>> actual = 2.0 / math.sqrt(2.0)
2025-08-26T19:47:03.6927610Z         >>> torch.testing.assert_close(actual, expected)
2025-08-26T19:47:03.6927770Z 
2025-08-26T19:47:03.6927850Z         >>> # numpy array to numpy array comparison
2025-08-26T19:47:03.6928050Z         >>> import numpy as np
2025-08-26T19:47:03.6928260Z         >>> expected = np.array([1e0, 1e-1, 1e-2])
2025-08-26T19:47:03.6928480Z         >>> actual = np.arccos(np.cos(expected))
2025-08-26T19:47:03.6928700Z         >>> torch.testing.assert_close(actual, expected)
2025-08-26T19:47:03.6928860Z 
2025-08-26T19:47:03.6928930Z         >>> # sequence to sequence comparison
2025-08-26T19:47:03.6929120Z         >>> import numpy as np
2025-08-26T19:47:03.6929380Z         >>> # The types of the sequences do not have to match. They only have to have the same
2025-08-26T19:47:03.6929690Z         >>> # length and their elements have to match.
2025-08-26T19:47:03.6929930Z         >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)]
2025-08-26T19:47:03.6930150Z         >>> actual = tuple(expected)
2025-08-26T19:47:03.6930360Z         >>> torch.testing.assert_close(actual, expected)
2025-08-26T19:47:03.6930510Z 
2025-08-26T19:47:03.6930580Z         >>> # mapping to mapping comparison
2025-08-26T19:47:03.6930790Z         >>> from collections import OrderedDict
2025-08-26T19:47:03.6930990Z         >>> import numpy as np
2025-08-26T19:47:03.6931150Z         >>> foo = torch.tensor(1.0)
2025-08-26T19:47:03.6931310Z         >>> bar = 2.0
2025-08-26T19:47:03.6931460Z         >>> baz = np.array(3.0)
2025-08-26T19:47:03.6931720Z         >>> # The types and a possible ordering of mappings do not have to match. They only
2025-08-26T19:47:03.6932070Z         >>> # have to have the same set of keys and their elements have to match.
2025-08-26T19:47:03.6932390Z         >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)])
2025-08-26T19:47:03.6932660Z         >>> actual = {"baz": baz, "bar": bar, "foo": foo}
2025-08-26T19:47:03.6932900Z         >>> torch.testing.assert_close(actual, expected)
2025-08-26T19:47:03.6933050Z 
2025-08-26T19:47:03.6933120Z         >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-08-26T19:47:03.6933330Z         >>> actual = expected.clone()
2025-08-26T19:47:03.6933560Z         >>> # By default, directly related instances can be compared
2025-08-26T19:47:03.6933870Z         >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected)
2025-08-26T19:47:03.6934180Z         >>> # This check can be made more strict with allow_subclasses=False
2025-08-26T19:47:03.6934430Z         >>> torch.testing.assert_close(
2025-08-26T19:47:03.6934690Z         ...     torch.nn.Parameter(actual), expected, allow_subclasses=False
2025-08-26T19:47:03.6934920Z         ... )
2025-08-26T19:47:03.6935070Z         Traceback (most recent call last):
2025-08-26T19:47:03.6935240Z         ...
2025-08-26T19:47:03.6935430Z         TypeError: No comparison pair was able to handle inputs of type
2025-08-26T19:47:03.6935930Z         <class 'torch.nn.parameter.Parameter'> and <class 'torch.Tensor'>.
2025-08-26T19:47:03.6936270Z         >>> # If the inputs are not directly related, they are never considered close
2025-08-26T19:47:03.6936640Z         >>> torch.testing.assert_close(actual.numpy(), expected)
2025-08-26T19:47:03.6936880Z         Traceback (most recent call last):
2025-08-26T19:47:03.6937050Z         ...
2025-08-26T19:47:03.6937310Z         TypeError: No comparison pair was able to handle inputs of type <class 'numpy.ndarray'>
2025-08-26T19:47:03.6937600Z         and <class 'torch.Tensor'>.
2025-08-26T19:47:03.6937890Z         >>> # Exceptions to these rules are Python scalars. They can be checked regardless of
2025-08-26T19:47:03.6938190Z         >>> # their type if check_dtype=False.
2025-08-26T19:47:03.6938430Z         >>> torch.testing.assert_close(1.0, 1, check_dtype=False)
2025-08-26T19:47:03.6938590Z 
2025-08-26T19:47:03.6938650Z         >>> # NaN != NaN by default.
2025-08-26T19:47:03.6938850Z         >>> expected = torch.tensor(float("Nan"))
2025-08-26T19:47:03.6939050Z         >>> actual = expected.clone()
2025-08-26T19:47:03.6939260Z         >>> torch.testing.assert_close(actual, expected)
2025-08-26T19:47:03.6939480Z         Traceback (most recent call last):
2025-08-26T19:47:03.6939650Z         ...
2025-08-26T19:47:03.6939830Z         AssertionError: Scalars are not close!
2025-08-26T19:47:03.6940020Z         <BLANKLINE>
2025-08-26T19:47:03.6940160Z         Expected nan but got nan.
2025-08-26T19:47:03.6940370Z         Absolute difference: nan (up to 1e-05 allowed)
2025-08-26T19:47:03.6940610Z         Relative difference: nan (up to 1.3e-06 allowed)
2025-08-26T19:47:03.6940880Z         >>> torch.testing.assert_close(actual, expected, equal_nan=True)
2025-08-26T19:47:03.6941070Z 
2025-08-26T19:47:03.6941150Z         >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-08-26T19:47:03.6941370Z         >>> actual = torch.tensor([1.0, 4.0, 5.0])
2025-08-26T19:47:03.6941590Z         >>> # The default error message can be overwritten.
2025-08-26T19:47:03.6941810Z         >>> torch.testing.assert_close(
2025-08-26T19:47:03.6942050Z         ...     actual, expected, msg="Argh, the tensors are not close!"
2025-08-26T19:47:03.6942270Z         ... )
2025-08-26T19:47:03.6942410Z         Traceback (most recent call last):
2025-08-26T19:47:03.6942590Z         ...
2025-08-26T19:47:03.6942750Z         AssertionError: Argh, the tensors are not close!
2025-08-26T19:47:03.6943050Z         >>> # If msg is a callable, it can be used to augment the generated message with
2025-08-26T19:47:03.6943310Z         >>> # extra information
2025-08-26T19:47:03.6943490Z         >>> torch.testing.assert_close(
2025-08-26T19:47:03.6943740Z         ...     actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter"
2025-08-26T19:47:03.6943970Z         ... )
2025-08-26T19:47:03.6944110Z         Traceback (most recent call last):
2025-08-26T19:47:03.6944280Z         ...
2025-08-26T19:47:03.6944410Z         AssertionError: Header
2025-08-26T19:47:03.6944560Z         <BLANKLINE>
2025-08-26T19:47:03.6944710Z         Tensor-likes are not close!
2025-08-26T19:47:03.6944880Z         <BLANKLINE>
2025-08-26T19:47:03.6945020Z         Mismatched elements: 2 / 3 (66.7%)
2025-08-26T19:47:03.6945280Z         Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed)
2025-08-26T19:47:03.6945620Z         Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed)
2025-08-26T19:47:03.6945870Z         <BLANKLINE>
2025-08-26T19:47:03.6946000Z         Footer
2025-08-26T19:47:03.6946110Z     
2025-08-26T19:47:03.6946330Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.2655380Z 
2025-08-26T19:47:04.2656000Z msg = Cannot scrape callname=triton_op in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/triton.py line=96.
2025-08-26T19:47:04.2656660Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.2657280Z Create a custom operator whose implementation is backed by 1+ triton kernels.
2025-08-26T19:47:04.2657510Z 
2025-08-26T19:47:04.2657650Z     This is a more structured way of using triton kernels with PyTorch.
2025-08-26T19:47:04.2658080Z     Prefer using triton kernels with no ``torch.library`` custom operator wrappers
2025-08-26T19:47:04.2658480Z     (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because
2025-08-26T19:47:04.2658760Z     that is simpler;
2025-08-26T19:47:04.2659020Z     only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you
2025-08-26T19:47:04.2659400Z     want to create an operator that behaves like PyTorch built-in operators.
2025-08-26T19:47:04.2659750Z     For example, you may use a ``torch.library`` wrapper API to define the
2025-08-26T19:47:04.2660090Z     behavior of the triton kernel when passed a tensor subclass or under
2025-08-26T19:47:04.2660350Z     a TorchDispatchMode.
2025-08-26T19:47:04.2660460Z 
2025-08-26T19:47:04.2660630Z     Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op`
2025-08-26T19:47:04.2660920Z     when the implementation
2025-08-26T19:47:04.2661170Z     consists of 1+ triton kernels. :func:`torch.library.custom_op` treats
2025-08-26T19:47:04.2661490Z     custom operators as opaque (:func:`torch.compile` and
2025-08-26T19:47:04.2661880Z     :func:`torch.export.export` will never trace into them), but ``triton_op``
2025-08-26T19:47:04.2662250Z     makes the implementation visible to these subsystems, allowing them
2025-08-26T19:47:04.2662540Z     to optimize the triton kernel(s).
2025-08-26T19:47:04.2662680Z 
2025-08-26T19:47:04.2662800Z     Note that ``fn`` must only consist of calls to PyTorch-understood
2025-08-26T19:47:04.2663140Z     operators and triton kernels. Any triton kernels called inside ``fn``
2025-08-26T19:47:04.2663490Z     must be wrapped in a call to :func:`torch.library.wrap_triton`.
2025-08-26T19:47:04.2663680Z 
2025-08-26T19:47:04.2663720Z     Args:
2025-08-26T19:47:04.2663950Z         name (str): A name for the custom op that looks like "{namespace}::{name}",
2025-08-26T19:47:04.2664300Z             e.g. "mylib::my_linear". The name is used as the op's stable identifier
2025-08-26T19:47:04.2664620Z             in PyTorch subsystems (e.g. torch.export, FX graphs).
2025-08-26T19:47:04.2664950Z             To avoid name collisions, please use your project name as the namespace;
2025-08-26T19:47:04.2665300Z             e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace.
2025-08-26T19:47:04.2665670Z         mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates.
2025-08-26T19:47:04.2666060Z             This MUST be accurate, otherwise, the behavior is undefined. If "unknown",
2025-08-26T19:47:04.2666440Z             it pessimistically assumes that all inputs to the operator are being mutated.
2025-08-26T19:47:04.2666780Z         schema (None | str): A schema string for the operator. If None
2025-08-26T19:47:04.2667090Z             (recommended) we'll infer a schema for the operator from its type
2025-08-26T19:47:04.2667410Z             annotations. We recommend letting us infer a schema unless you
2025-08-26T19:47:04.2667670Z             have a specific reason not to.
2025-08-26T19:47:04.2667890Z             Example: "(Tensor x, int y) -> (Tensor, Tensor)".
2025-08-26T19:47:04.2668050Z 
2025-08-26T19:47:04.2668100Z     Example::
2025-08-26T19:47:04.2668180Z 
2025-08-26T19:47:04.2668260Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-26T19:47:04.2668460Z         >>> import torch
2025-08-26T19:47:04.2668640Z         >>> from torch.library import triton_op, wrap_triton
2025-08-26T19:47:04.2668840Z         >>>
2025-08-26T19:47:04.2668970Z         >>> import triton
2025-08-26T19:47:04.2669130Z         >>> from triton import language as tl
2025-08-26T19:47:04.2669310Z         >>>
2025-08-26T19:47:04.2669430Z         >>> @triton.jit
2025-08-26T19:47:04.2669560Z         >>> def add_kernel(
2025-08-26T19:47:04.2669760Z         >>>     in_ptr0,
2025-08-26T19:47:04.2669910Z         >>>     in_ptr1,
2025-08-26T19:47:04.2670050Z         >>>     out_ptr,
2025-08-26T19:47:04.2670200Z         >>>     n_elements,
2025-08-26T19:47:04.2670390Z         >>>     BLOCK_SIZE: "tl.constexpr",
2025-08-26T19:47:04.2670570Z         >>> ):
2025-08-26T19:47:04.2670710Z         >>>     pid = tl.program_id(axis=0)
2025-08-26T19:47:04.2670920Z         >>>     block_start = pid * BLOCK_SIZE
2025-08-26T19:47:04.2671140Z         >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-08-26T19:47:04.2671360Z         >>>     mask = offsets < n_elements
2025-08-26T19:47:04.2671570Z         >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-08-26T19:47:04.2671790Z         >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-08-26T19:47:04.2671980Z         >>>     output = x + y
2025-08-26T19:47:04.2672180Z         >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-08-26T19:47:04.2672370Z         >>>
2025-08-26T19:47:04.2672520Z         >>> @triton_op("mylib::add", mutates_args={})
2025-08-26T19:47:04.2672780Z         >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
2025-08-26T19:47:04.2673030Z         >>>     output = torch.empty_like(x)
2025-08-26T19:47:04.2673230Z         >>>     n_elements = output.numel()
2025-08-26T19:47:04.2673430Z         >>>
2025-08-26T19:47:04.2673550Z         >>>     def grid(meta):
2025-08-26T19:47:04.2673760Z         >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-08-26T19:47:04.2673980Z         >>>
2025-08-26T19:47:04.2674160Z         >>>     # NB: we need to wrap the triton kernel in a call to wrap_triton
2025-08-26T19:47:04.2674460Z         >>>     wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16)
2025-08-26T19:47:04.2674690Z         >>>     return output
2025-08-26T19:47:04.2674840Z         >>>
2025-08-26T19:47:04.2674950Z         >>> @torch.compile
2025-08-26T19:47:04.2675110Z         >>> def f(x, y):
2025-08-26T19:47:04.2675260Z         >>>     return add(x, y)
2025-08-26T19:47:04.2675410Z         >>>
2025-08-26T19:47:04.2675540Z         >>> x = torch.randn(3, device="cuda")
2025-08-26T19:47:04.2675740Z         >>> y = torch.randn(3, device="cuda")
2025-08-26T19:47:04.2675920Z         >>>
2025-08-26T19:47:04.2676030Z         >>> z = f(x, y)
2025-08-26T19:47:04.2676180Z         >>> assert torch.allclose(z, x + y)
2025-08-26T19:47:04.2676310Z 
2025-08-26T19:47:04.2676360Z     
2025-08-26T19:47:04.2676570Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.2676790Z 
2025-08-26T19:47:04.2677160Z msg = Cannot scrape callname=wrap_triton in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/triton.py line=296.
2025-08-26T19:47:04.2677740Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.2678070Z Allows capture of a triton kernel into a graph via make_fx or
2025-08-26T19:47:04.2678310Z     non-strict ``torch.export``.
2025-08-26T19:47:04.2678430Z 
2025-08-26T19:47:04.2678580Z     These technologies perform Dispatcher-based tracing (via
2025-08-26T19:47:04.2678900Z     ``__torch_dispatch__``) and cannot see calls to raw triton kernels.
2025-08-26T19:47:04.2679230Z     The ``wrap_triton`` API wraps a triton kernel into a callable that
2025-08-26T19:47:04.2679500Z     can actually be traced into a graph.
2025-08-26T19:47:04.2679640Z 
2025-08-26T19:47:04.2679770Z     Please use this API together with :func:`torch.library.triton_op`.
2025-08-26T19:47:04.2679980Z 
2025-08-26T19:47:04.2680020Z     Examples:
2025-08-26T19:47:04.2680100Z 
2025-08-26T19:47:04.2680160Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:04.2680320Z         >>> import torch
2025-08-26T19:47:04.2680480Z         >>> import triton
2025-08-26T19:47:04.2680640Z         >>> from triton import language as tl
2025-08-26T19:47:04.2680890Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-08-26T19:47:04.2681140Z         >>> from torch.library import wrap_triton
2025-08-26T19:47:04.2681370Z         >>>
2025-08-26T19:47:04.2681490Z         >>> @triton.jit
2025-08-26T19:47:04.2681640Z         >>> def add_kernel(
2025-08-26T19:47:04.2681780Z         >>>     in_ptr0,
2025-08-26T19:47:04.2681960Z         >>>     in_ptr1,
2025-08-26T19:47:04.2682100Z         >>>     out_ptr,
2025-08-26T19:47:04.2687260Z         >>>     n_elements,
2025-08-26T19:47:04.2687460Z         >>>     BLOCK_SIZE: "tl.constexpr",
2025-08-26T19:47:04.2687640Z         >>> ):
2025-08-26T19:47:04.2687790Z         >>>     pid = tl.program_id(axis=0)
2025-08-26T19:47:04.2687980Z         >>>     block_start = pid * BLOCK_SIZE
2025-08-26T19:47:04.2688220Z         >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-08-26T19:47:04.2688450Z         >>>     mask = offsets < n_elements
2025-08-26T19:47:04.2688660Z         >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-08-26T19:47:04.2688890Z         >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-08-26T19:47:04.2689090Z         >>>     output = x + y
2025-08-26T19:47:04.2689290Z         >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-08-26T19:47:04.2689500Z         >>>
2025-08-26T19:47:04.2689620Z         >>> def add(x, y):
2025-08-26T19:47:04.2689790Z         >>>     output = torch.empty_like(x)
2025-08-26T19:47:04.2690050Z         >>>     n_elements = output.numel()
2025-08-26T19:47:04.2690230Z         >>>
2025-08-26T19:47:04.2690350Z         >>>     def grid_fn(meta):
2025-08-26T19:47:04.2690580Z         >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-08-26T19:47:04.2690800Z         >>>
2025-08-26T19:47:04.2690990Z         >>>     wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16)
2025-08-26T19:47:04.2691240Z         >>>     return output
2025-08-26T19:47:04.2691390Z         >>>
2025-08-26T19:47:04.2691520Z         >>> x = torch.randn(3, device="cuda")
2025-08-26T19:47:04.2691730Z         >>> y = torch.randn(3, device="cuda")
2025-08-26T19:47:04.2691920Z         >>> gm = make_fx(add)(x, y)
2025-08-26T19:47:04.2692090Z         >>> print(gm.code)
2025-08-26T19:47:04.2692270Z         >>> # def forward(self, x_1, y_1):
2025-08-26T19:47:04.2692540Z         >>> #     empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False)
2025-08-26T19:47:04.2692920Z         >>> #     triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation(
2025-08-26T19:47:04.2693220Z         >>> #         kernel_idx = 0, constant_args_idx = 0,
2025-08-26T19:47:04.2693450Z         >>> #         grid = [(1, 1, 1)], kwargs = {
2025-08-26T19:47:04.2693690Z         >>> #             'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like,
2025-08-26T19:47:04.2693940Z         >>> #             'n_elements': 3, 'BLOCK_SIZE': 16
2025-08-26T19:47:04.2694140Z         >>> #         })
2025-08-26T19:47:04.2694300Z         >>> #     return empty_like
2025-08-26T19:47:04.2694420Z 
2025-08-26T19:47:04.2694460Z     
2025-08-26T19:47:04.2694680Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.2694910Z 
2025-08-26T19:47:04.2695340Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/fake_profile.py line=94.
2025-08-26T19:47:04.2696000Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.2696230Z 
2025-08-26T19:47:04.2696370Z Registers a fake kernel based on the given operator profiles. This fake
2025-08-26T19:47:04.2696730Z kernel registration will override any existing fake kernel registrations.
2025-08-26T19:47:04.2696950Z 
2025-08-26T19:47:04.2697080Z The input is a dictionary mapping operator names to a set of operator
2025-08-26T19:47:04.2697420Z profiles, which we will use to generate fake kernels. The operator profiles
2025-08-26T19:47:04.2697760Z are a record of the input and output tensor metadata. Based on this
2025-08-26T19:47:04.2698170Z information we will match a given input to the recorded profile, and return
2025-08-26T19:47:04.2698530Z an output with the same metadata as in the recorded profile. If a profile
2025-08-26T19:47:04.2698820Z doesn't exist then an exception will be thrown.
2025-08-26T19:47:04.2699010Z 
2025-08-26T19:47:04.2699160Z The fake kernel generation is considered unsafe because it relies on the
2025-08-26T19:47:04.2699500Z rigid, pre-defined operator profiles that do not account for potential
2025-08-26T19:47:04.2699860Z variations in output behavior. Specifically, the generated kernels assume a
2025-08-26T19:47:04.2700230Z fixed relationship between input and output ranks. However, in reality, it's
2025-08-26T19:47:04.2700600Z possible that data-dependent operations may produce outputs of different
2025-08-26T19:47:04.2700940Z ranks even when given inputs of the same rank. The generated fake kernels
2025-08-26T19:47:04.2701280Z are inflexible and unable to accommodate these nuances, making them
2025-08-26T19:47:04.2701520Z potentially unsafe.
2025-08-26T19:47:04.2701610Z 
2025-08-26T19:47:04.2701650Z Args:
2025-08-26T19:47:04.2701850Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-08-26T19:47:04.2702180Z         name to a set of operator profiles from which we will generate fake
2025-08-26T19:47:04.2702420Z         kernels.
2025-08-26T19:47:04.2702540Z 
2025-08-26T19:47:04.2702590Z Examples:
2025-08-26T19:47:04.2702650Z 
2025-08-26T19:47:04.2702760Z     >>> # Example: Registering an op-profile from draft-export
2025-08-26T19:47:04.2702970Z     >>> import torch
2025-08-26T19:47:04.2703160Z     >>> from torch.export._draft_export import draft_export
2025-08-26T19:47:04.2703370Z     >>>
2025-08-26T19:47:04.2703540Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-08-26T19:47:04.2703790Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-08-26T19:47:04.2703980Z     >>>     return x + y
2025-08-26T19:47:04.2704120Z     >>>
2025-08-26T19:47:04.2704240Z     >>> class M(torch.nn.Module):
2025-08-26T19:47:04.2704420Z     >>>     def forward(self, a, b):
2025-08-26T19:47:04.2704630Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-08-26T19:47:04.2704830Z     >>>         return res
2025-08-26T19:47:04.2704970Z     >>>
2025-08-26T19:47:04.2705150Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-08-26T19:47:04.2705360Z     >>>
2025-08-26T19:47:04.2705610Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-08-26T19:47:04.2705930Z     >>>     decomp = ep.run_decompositions()
2025-08-26T19:47:04.2706070Z 
2025-08-26T19:47:04.2706070Z 
2025-08-26T19:47:04.2706230Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.3361410Z 
2025-08-26T19:47:04.3362230Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/custom_ops.py line=397.
2025-08-26T19:47:04.3362990Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:04.3363340Z Register a FakeTensor implementation for this custom op.
2025-08-26T19:47:04.3363530Z 
2025-08-26T19:47:04.3363690Z         This is necessary to get the operator to work efficiently with torch.compile.
2025-08-26T19:47:04.3363930Z 
2025-08-26T19:47:04.3364080Z         The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-08-26T19:47:04.3364430Z         specifies the behavior of this operator on Tensors that carry no data.
2025-08-26T19:47:04.3364750Z         Given some input Tensors with certain properties
2025-08-26T19:47:04.3365070Z         (sizes/strides/storage_offset/device), it specifies what the properties of
2025-08-26T19:47:04.3365360Z         the output Tensors are.
2025-08-26T19:47:04.3365480Z 
2025-08-26T19:47:04.3365610Z         Please see :func:`torch.library.register_fake` for more details.
2025-08-26T19:47:04.3365820Z 
2025-08-26T19:47:04.3365860Z         Args:
2025-08-26T19:47:04.3366300Z             fn (Callable): The function to register as the FakeTensor
2025-08-26T19:47:04.3366550Z                 implementation.
2025-08-26T19:47:04.3366670Z 
2025-08-26T19:47:04.3366720Z         Examples:
2025-08-26T19:47:04.3366930Z             >>> import torch
2025-08-26T19:47:04.3367100Z             >>> import numpy as np
2025-08-26T19:47:04.3367290Z             >>> from torch import Tensor
2025-08-26T19:47:04.3367470Z             >>>
2025-08-26T19:47:04.3367670Z             >>> # Example 1: an operator without data-dependent output shape
2025-08-26T19:47:04.3368000Z             >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-08-26T19:47:04.3368320Z             >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-26T19:47:04.3368590Z             >>>     return (x @ weight.t()) + bias
2025-08-26T19:47:04.3368780Z             >>>
2025-08-26T19:47:04.3368920Z             >>> @linear.register_fake
2025-08-26T19:47:04.3369120Z             >>> def _(x, weight, bias):
2025-08-26T19:47:04.3369310Z             >>>     assert x.dim() == 2
2025-08-26T19:47:04.3369510Z             >>>     assert weight.dim() == 2
2025-08-26T19:47:04.3369710Z             >>>     assert bias.dim() == 1
2025-08-26T19:47:04.3369930Z             >>>     assert x.shape[1] == weight.shape[1]
2025-08-26T19:47:04.3370170Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-08-26T19:47:04.3370470Z             >>>     assert x.device == weight.device
2025-08-26T19:47:04.3370710Z             >>>     return x.new_empty(x.size(0), weight.size(0))
2025-08-26T19:47:04.3370930Z             >>>
2025-08-26T19:47:04.3371070Z             >>> x = torch.randn(2, 2)
2025-08-26T19:47:04.3371260Z             >>> weight = torch.randn(2, 2)
2025-08-26T19:47:04.3371450Z             >>> bias = torch.randn(2)
2025-08-26T19:47:04.3371660Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T19:47:04.3371940Z             >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-08-26T19:47:04.3372220Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T19:47:04.3372530Z             >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-08-26T19:47:04.3372790Z             >>>
2025-08-26T19:47:04.3372980Z             >>> # Example 2: an operator with data-dependent output shape
2025-08-26T19:47:04.3373280Z             >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-08-26T19:47:04.3373540Z             >>> def nonzero(x: Tensor) -> Tensor:
2025-08-26T19:47:04.3373740Z             >>>     x_np = x.cpu().numpy()
2025-08-26T19:47:04.3373960Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-26T19:47:04.3374190Z             >>>     return torch.tensor(res, device=x.device)
2025-08-26T19:47:04.3374380Z             >>>
2025-08-26T19:47:04.3374520Z             >>> @nonzero.register_fake
2025-08-26T19:47:04.3374690Z             >>> def _(x):
2025-08-26T19:47:04.3374880Z             >>> # Number of nonzero-elements is data-dependent.
2025-08-26T19:47:04.3375150Z             >>> # Since we cannot peek at the data in an abstract impl,
2025-08-26T19:47:04.3375430Z             >>> # we use the ctx object to construct a new symint that
2025-08-26T19:47:04.3375680Z             >>> # represents the data-dependent size.
2025-08-26T19:47:04.3375900Z             >>>     ctx = torch.library.get_ctx()
2025-08-26T19:47:04.3376110Z             >>>     nnz = ctx.new_dynamic_size()
2025-08-26T19:47:04.3376310Z             >>>     shape = [nnz, x.dim()]
2025-08-26T19:47:04.3376540Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-26T19:47:04.3376760Z             >>>     return result
2025-08-26T19:47:04.3376910Z             >>>
2025-08-26T19:47:04.3377060Z             >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-08-26T19:47:04.3377290Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T19:47:04.3377530Z             >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-08-26T19:47:04.3377830Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T19:47:04.3378070Z             >>> assert torch.allclose(out, x.nonzero())
2025-08-26T19:47:04.3378210Z 
2025-08-26T19:47:04.3378260Z         
2025-08-26T19:47:04.3378670Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-08-26T19:47:04.3379040Z 
2025-08-26T19:47:04.3379090Z _._ = None
2025-08-26T19:47:04.3379190Z ^
2025-08-26T19:47:04.3379650Z msg = Cannot scrape callname=Conv1d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py line=354.
2025-08-26T19:47:04.3380260Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.3380620Z Applies a 1D convolution over a quantized input signal composed of
2025-08-26T19:47:04.3380870Z     several quantized input planes.
2025-08-26T19:47:04.3381000Z 
2025-08-26T19:47:04.3381130Z     For details on input arguments, parameters, and implementation see
2025-08-26T19:47:04.3381400Z     :class:`~torch.nn.Conv1d`.
2025-08-26T19:47:04.3381510Z 
2025-08-26T19:47:04.3381560Z     .. note::
2025-08-26T19:47:04.3381760Z         Only `zeros` is supported for the :attr:`padding_mode` argument.
2025-08-26T19:47:04.3381980Z 
2025-08-26T19:47:04.3382020Z     .. note::
2025-08-26T19:47:04.3382210Z         Only `torch.quint8` is supported for the input data type.
2025-08-26T19:47:04.3382380Z 
2025-08-26T19:47:04.3382390Z 
2025-08-26T19:47:04.3382430Z     Attributes:
2025-08-26T19:47:04.3382640Z         weight (Tensor):     packed tensor derived from the learnable weight
2025-08-26T19:47:04.3382890Z                              parameter.
2025-08-26T19:47:04.3383100Z         scale (Tensor):      scalar for the output scale
2025-08-26T19:47:04.3383350Z         zero_point (Tensor): scalar for the output zero point
2025-08-26T19:47:04.3383530Z 
2025-08-26T19:47:04.3383620Z     See :class:`~torch.nn.Conv1d` for other attributes.
2025-08-26T19:47:04.3383780Z 
2025-08-26T19:47:04.3383830Z     Examples::
2025-08-26T19:47:04.3383910Z 
2025-08-26T19:47:04.3384000Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE)
2025-08-26T19:47:04.3384240Z         >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2)
2025-08-26T19:47:04.3384460Z         >>> input = torch.randn(20, 16, 100)
2025-08-26T19:47:04.3384660Z         >>> # quantize input to quint8
2025-08-26T19:47:04.3384840Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:04.3385080Z         >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0,
2025-08-26T19:47:04.3385360Z         ...                                     dtype=torch.quint8)
2025-08-26T19:47:04.3385560Z         >>> output = m(q_input)
2025-08-26T19:47:04.3385670Z 
2025-08-26T19:47:04.3385710Z     
2025-08-26T19:47:04.3385930Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.3386150Z 
2025-08-26T19:47:04.3386550Z msg = Cannot scrape callname=LSTM in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/rnn.py line=12.
2025-08-26T19:47:04.3387150Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.3387450Z A quantized long short-term memory (LSTM).
2025-08-26T19:47:04.3387600Z 
2025-08-26T19:47:04.3387770Z     For the description and the argument types, please, refer to :class:`~torch.nn.LSTM`
2025-08-26T19:47:04.3388010Z 
2025-08-26T19:47:04.3388070Z     Attributes:
2025-08-26T19:47:04.3388230Z         layers : instances of the `_LSTMLayer`
2025-08-26T19:47:04.3388370Z 
2025-08-26T19:47:04.3388420Z     .. note::
2025-08-26T19:47:04.3388610Z         To access the weights and biases, you need to access them per layer.
2025-08-26T19:47:04.3388920Z         See examples in :class:`~torch.ao.nn.quantizable.LSTM`
2025-08-26T19:47:04.3389090Z 
2025-08-26T19:47:04.3389140Z     Examples::
2025-08-26T19:47:04.3389270Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:04.3389480Z         >>> custom_module_config = {
2025-08-26T19:47:04.3389690Z         ...     'float_to_observed_custom_module_class': {
2025-08-26T19:47:04.3389920Z         ...         nn.LSTM: nn.quantizable.LSTM,
2025-08-26T19:47:04.3390130Z         ...     },
2025-08-26T19:47:04.3390300Z         ...     'observed_to_quantized_custom_module_class': {
2025-08-26T19:47:04.3390550Z         ...         nn.quantizable.LSTM: nn.quantized.LSTM,
2025-08-26T19:47:04.3390750Z         ...     }
2025-08-26T19:47:04.3390880Z         ... }
2025-08-26T19:47:04.3391090Z         >>> tq.prepare(model, prepare_custom_module_class=custom_module_config)
2025-08-26T19:47:04.3391420Z         >>> tq.convert(model, convert_custom_module_class=custom_module_config)
2025-08-26T19:47:04.3391650Z     
2025-08-26T19:47:04.3391870Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.3392090Z 
2025-08-26T19:47:04.3392550Z msg = Cannot scrape callname=DTypeConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181.
2025-08-26T19:47:04.3393230Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.3393460Z 
2025-08-26T19:47:04.3393640Z Config object that specifies the supported data types passed as arguments to
2025-08-26T19:47:04.3394010Z quantize ops in the reference model spec, for input and output activations,
2025-08-26T19:47:04.3394270Z weights, and biases.
2025-08-26T19:47:04.3394360Z 
2025-08-26T19:47:04.3394460Z For example, consider the following reference model:
2025-08-26T19:47:04.3394620Z 
2025-08-26T19:47:04.3394710Z   quant1 - [dequant1 - fp32_linear - quant2] - dequant2
2025-08-26T19:47:04.3394870Z 
2025-08-26T19:47:04.3395010Z The pattern in the square brackets refers to the reference pattern of
2025-08-26T19:47:04.3395350Z statically quantized linear. Setting the input dtype as `torch.quint8`
2025-08-26T19:47:04.3395700Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument
2025-08-26T19:47:04.3396040Z to the first quantize op (quant1). Similarly, setting the output dtype as
2025-08-26T19:47:04.3396380Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to
2025-08-26T19:47:04.3396650Z the second quantize op (quant2).
2025-08-26T19:47:04.3396770Z 
2025-08-26T19:47:04.3396900Z Note that the dtype here does not refer to the interface dtypes of the
2025-08-26T19:47:04.3397230Z op. For example, the "input dtype" here is not the dtype of the input
2025-08-26T19:47:04.3397550Z tensor passed to the quantized linear op. Though it can still be the
2025-08-26T19:47:04.3397870Z same as the interface dtype, this is not always the case, e.g. the
2025-08-26T19:47:04.3398190Z interface dtype is fp32 in dynamic quantization but the "input dtype"
2025-08-26T19:47:04.3398510Z specified in the DTypeConfig would still be quint8. The semantics of
2025-08-26T19:47:04.3398830Z dtypes here are the same as the semantics of the dtypes specified in
2025-08-26T19:47:04.3399070Z the observers.
2025-08-26T19:47:04.3399150Z 
2025-08-26T19:47:04.3399280Z These dtypes are matched against the ones specified in the user's
2025-08-26T19:47:04.3399610Z QConfig. If there is a match, and the QConfig satisfies the constraints
2025-08-26T19:47:04.3399940Z specified in the DTypeConfig (if any), then we will quantize the given
2025-08-26T19:47:04.3400270Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and
2025-08-26T19:47:04.3400540Z the pattern will not be quantized.
2025-08-26T19:47:04.3400670Z 
2025-08-26T19:47:04.3400720Z Example usage::
2025-08-26T19:47:04.3400800Z 
2025-08-26T19:47:04.3400860Z     >>> # xdoctest: +SKIP(failing)
2025-08-26T19:47:04.3401040Z     >>> dtype_config1 = DTypeConfig(
2025-08-26T19:47:04.3401220Z     ...     input_dtype=torch.quint8,
2025-08-26T19:47:04.3401410Z     ...     output_dtype=torch.quint8,
2025-08-26T19:47:04.3401600Z     ...     weight_dtype=torch.qint8,
2025-08-26T19:47:04.3401880Z     ...     bias_dtype=torch.float)
2025-08-26T19:47:04.3402010Z 
2025-08-26T19:47:04.3402070Z     >>> dtype_config2 = DTypeConfig(
2025-08-26T19:47:04.3402270Z     ...     input_dtype=DTypeWithConstraints(
2025-08-26T19:47:04.3402520Z     ...         dtype=torch.quint8,
2025-08-26T19:47:04.3402700Z     ...         quant_min_lower_bound=0,
2025-08-26T19:47:04.3402890Z     ...         quant_max_upper_bound=255,
2025-08-26T19:47:04.3403070Z     ...     ),
2025-08-26T19:47:04.3403220Z     ...     output_dtype=DTypeWithConstraints(
2025-08-26T19:47:04.3403420Z     ...         dtype=torch.quint8,
2025-08-26T19:47:04.3403600Z     ...         quant_min_lower_bound=0,
2025-08-26T19:47:04.3403790Z     ...         quant_max_upper_bound=255,
2025-08-26T19:47:04.3403960Z     ...     ),
2025-08-26T19:47:04.3404110Z     ...     weight_dtype=DTypeWithConstraints(
2025-08-26T19:47:04.3404310Z     ...         dtype=torch.qint8,
2025-08-26T19:47:04.3404490Z     ...         quant_min_lower_bound=-128,
2025-08-26T19:47:04.3404690Z     ...         quant_max_upper_bound=127,
2025-08-26T19:47:04.3404870Z     ...     ),
2025-08-26T19:47:04.3405000Z     ...     bias_dtype=torch.float)
2025-08-26T19:47:04.3405120Z 
2025-08-26T19:47:04.3405190Z     >>> dtype_config1.input_dtype
2025-08-26T19:47:04.3405360Z     torch.quint8
2025-08-26T19:47:04.3405490Z 
2025-08-26T19:47:04.3405550Z     >>> dtype_config2.input_dtype
2025-08-26T19:47:04.3405720Z     torch.quint8
2025-08-26T19:47:04.3405800Z 
2025-08-26T19:47:04.3405880Z     >>> dtype_config2.input_dtype_with_constraints
2025-08-26T19:47:04.3406350Z     DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None)
2025-08-26T19:47:04.3406740Z 
2025-08-26T19:47:04.3406890Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.3592940Z 
2025-08-26T19:47:04.3593840Z msg = Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301.
2025-08-26T19:47:04.3594710Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.3594960Z 
2025-08-26T19:47:04.3595130Z Takes in optional filter values and generates two tables with desired information.
2025-08-26T19:47:04.3595380Z 
2025-08-26T19:47:04.3595510Z The generated tables are presented in both a list-of-lists format
2025-08-26T19:47:04.3595710Z 
2025-08-26T19:47:04.3595840Z The reason for the two tables are that they handle different things:
2025-08-26T19:47:04.3601630Z 1.) the first table handles all tensor level information
2025-08-26T19:47:04.3601960Z 2.) the second table handles and displays all channel based information
2025-08-26T19:47:04.3602170Z 
2025-08-26T19:47:04.3602370Z The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-08-26T19:47:04.3602850Z     statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-08-26T19:47:04.3603350Z     tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-08-26T19:47:04.3603630Z 
2025-08-26T19:47:04.3603700Z Tensor table columns:
2025-08-26T19:47:04.3603920Z     idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-08-26T19:47:04.3604220Z     ----  ---------  ---------   ---------   ---------        ---------
2025-08-26T19:47:04.3604390Z 
2025-08-26T19:47:04.3604480Z Per-Channel table columns:
2025-08-26T19:47:04.3604730Z     idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-08-26T19:47:04.3605060Z     ----  ---------  -------  ---------   ---------   ---------        ---------
2025-08-26T19:47:04.3605240Z 
2025-08-26T19:47:04.3605290Z Args:
2025-08-26T19:47:04.3605530Z     feature_filter (str, optional): Filters the features presented to only those that
2025-08-26T19:47:04.3606000Z         contain this filter substring
2025-08-26T19:47:04.3606250Z         Default = "", results in all the features being printed
2025-08-26T19:47:04.3606590Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-26T19:47:04.3607020Z         Default = "", results in all the modules in the reports to be visible in the table
2025-08-26T19:47:04.3607250Z 
2025-08-26T19:47:04.3607320Z Returns a dictionary with two keys:
2025-08-26T19:47:04.3607560Z     (Dict[str, Tuple[List, List]]) A dict containing two keys:
2025-08-26T19:47:04.3607820Z     "tensor_level_info", "channel_level_info"
2025-08-26T19:47:04.3608030Z         Each key maps to a tuple with:
2025-08-26T19:47:04.3608230Z             A list of the headers of each table
2025-08-26T19:47:04.3608490Z             A list of lists containing the table information row by row
2025-08-26T19:47:04.3608790Z             The 0th index row will contain the headers of the columns
2025-08-26T19:47:04.3609050Z             The rest of the rows will contain data
2025-08-26T19:47:04.3609200Z 
2025-08-26T19:47:04.3609250Z Example Use:
2025-08-26T19:47:04.3609400Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:04.3609630Z     >>> mod_report_visualizer.generate_filtered_tables(
2025-08-26T19:47:04.3609960Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-26T19:47:04.3610310Z     ... )  # generates table with per_channel_min info for all modules in block 1 of the model
2025-08-26T19:47:04.3610540Z 
2025-08-26T19:47:04.3610700Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.3610920Z 
2025-08-26T19:47:04.3611510Z msg = Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=399.
2025-08-26T19:47:04.3612320Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.3612550Z 
2025-08-26T19:47:04.3612720Z Takes in optional filter values and prints out formatted tables of the information.
2025-08-26T19:47:04.3612950Z 
2025-08-26T19:47:04.3613170Z The reason for the two tables printed out instead of one large one are that they handle different things:
2025-08-26T19:47:04.3613540Z 1.) the first table handles all tensor level information
2025-08-26T19:47:04.3613840Z 2.) the second table handles and displays all channel based information
2025-08-26T19:47:04.3614040Z 
2025-08-26T19:47:04.3614230Z The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-08-26T19:47:04.3614680Z     statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-08-26T19:47:04.3615160Z     tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-08-26T19:47:04.3615430Z 
2025-08-26T19:47:04.3615490Z Tensor table columns:
2025-08-26T19:47:04.3615710Z  idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-08-26T19:47:04.3615990Z ----  ---------  ---------   ---------   ---------        ---------
2025-08-26T19:47:04.3616150Z 
2025-08-26T19:47:04.3616220Z Per-Channel table columns:
2025-08-26T19:47:04.3616330Z 
2025-08-26T19:47:04.3616470Z  idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-08-26T19:47:04.3616770Z ----  ---------  -------  ---------   ---------   ---------        ---------
2025-08-26T19:47:04.3616950Z 
2025-08-26T19:47:04.3616990Z Args:
2025-08-26T19:47:04.3617230Z     feature_filter (str, optional): Filters the features presented to only those that
2025-08-26T19:47:04.3617520Z         contain this filter substring
2025-08-26T19:47:04.3617760Z         Default = "", results in all the features being printed
2025-08-26T19:47:04.3618090Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-26T19:47:04.3618520Z         Default = "", results in all the modules in the reports to be visible in the table
2025-08-26T19:47:04.3618740Z 
2025-08-26T19:47:04.3618790Z Example Use:
2025-08-26T19:47:04.3618970Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:04.3619220Z     >>> mod_report_visualizer.generate_table_visualization(
2025-08-26T19:47:04.3619510Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-26T19:47:04.3619740Z     ... )
2025-08-26T19:47:04.3619920Z     >>> # prints out neatly formatted table with per_channel_min info
2025-08-26T19:47:04.3620180Z     >>> # for all modules in block 1 of the model
2025-08-26T19:47:04.3620330Z 
2025-08-26T19:47:04.3620490Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.3620710Z 
2025-08-26T19:47:04.3621300Z msg = Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=564.
2025-08-26T19:47:04.3622100Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.3622330Z 
2025-08-26T19:47:04.3622480Z Takes in a feature and optional module_filter and plots of the desired data.
2025-08-26T19:47:04.3622730Z 
2025-08-26T19:47:04.3622890Z For per channel features, it averages the value across the channels and plots a point
2025-08-26T19:47:04.3623280Z per module. The reason for this is that for models with hundreds of channels, it can
2025-08-26T19:47:04.3623660Z be hard to differentiate one channel line from another, and so the point of generating
2025-08-26T19:47:04.3624070Z a single average point per module is to give a sense of general trends that encourage
2025-08-26T19:47:04.3624340Z further deep dives.
2025-08-26T19:47:04.3624430Z 
2025-08-26T19:47:04.3624470Z Note:
2025-08-26T19:47:04.3624700Z     Only features in the report that have tensor value data are plottable by this class
2025-08-26T19:47:04.3625030Z     When the tensor information is plotted, it will plot:
2025-08-26T19:47:04.3625270Z         idx as the x val, feature value as the y_val
2025-08-26T19:47:04.3625520Z     When the channel information is plotted, it will plot:
2025-08-26T19:47:04.3625850Z         the first idx of each module as the x val, feature value as the y_val [for each channel]
2025-08-26T19:47:04.3626210Z         The reason for this is that we want to be able to compare values across the
2025-08-26T19:47:04.3626560Z         channels for same layer, and it will be hard if values are staggered by idx
2025-08-26T19:47:04.3626880Z         This means each module is represented by only 1 x value
2025-08-26T19:47:04.3627080Z Args:
2025-08-26T19:47:04.3627290Z     feature_filter (str): Filters the features presented to only those that
2025-08-26T19:47:04.3627560Z         contain this filter substring
2025-08-26T19:47:04.3627850Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-26T19:47:04.3628230Z         Default = "", results in all the modules in the reports to be visible in the table
2025-08-26T19:47:04.3628440Z 
2025-08-26T19:47:04.3628490Z Example Use:
2025-08-26T19:47:04.3628640Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:04.3628890Z     >>> mod_report_visualizer.generate_plot_visualization(
2025-08-26T19:47:04.3629170Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-26T19:47:04.3629400Z     ... )
2025-08-26T19:47:04.3629570Z     >>> # outputs line plot of per_channel_min information for all
2025-08-26T19:47:04.3629860Z     >>> # modules in block1 of model each channel gets it's own line,
2025-08-26T19:47:04.3630150Z     >>> # and it's plotted across the in-order modules on the x-axis
2025-08-26T19:47:04.3630320Z 
2025-08-26T19:47:04.3630470Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.3630700Z 
2025-08-26T19:47:04.3631350Z msg = Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=643.
2025-08-26T19:47:04.3632180Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.3632400Z 
2025-08-26T19:47:04.3632580Z Takes in a feature and optional module_filter and plots the histogram of desired data.
2025-08-26T19:47:04.3632810Z 
2025-08-26T19:47:04.3632860Z Note:
2025-08-26T19:47:04.3633090Z     Only features in the report that have tensor value data can be viewed as a histogram
2025-08-26T19:47:04.3633480Z     If you want to plot a histogram from all the channel values of a specific feature for
2025-08-26T19:47:04.3633860Z         a specific model, make sure to specify both the model and the feature properly
2025-08-26T19:47:04.3634220Z         in the filters and you should be able to see a distribution of the channel data
2025-08-26T19:47:04.3634440Z 
2025-08-26T19:47:04.3634480Z Args:
2025-08-26T19:47:04.3634710Z     feature_filter (str, optional): Filters the features presented to only those that
2025-08-26T19:47:04.3635000Z         contain this filter substring
2025-08-26T19:47:04.3635230Z         Default = "", results in all the features being printed
2025-08-26T19:47:04.3635580Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-26T19:47:04.3635960Z         Default = "", results in all the modules in the reports to be visible in the table
2025-08-26T19:47:04.3636330Z     num_bins (int, optional): The number of bins to create the histogram with
2025-08-26T19:47:04.3636660Z         Default = 10, the values will be split into 10 equal sized bins
2025-08-26T19:47:04.3636850Z 
2025-08-26T19:47:04.3636900Z Example Use:
2025-08-26T19:47:04.3637030Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:04.3637320Z     >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization(
2025-08-26T19:47:04.3637700Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-26T19:47:04.3637920Z     ... )
2025-08-26T19:47:04.3638150Z     # outputs histogram of per_channel_min information for all modules in block1 of model
2025-08-26T19:47:04.3638540Z         information is gathered across all channels for all modules in block 1 for the
2025-08-26T19:47:04.3638900Z         per_channel_min and is displayed in a histogram of equally sized bins
2025-08-26T19:47:04.3639110Z 
2025-08-26T19:47:04.3639260Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.7234350Z 
2025-08-26T19:47:04.7235140Z msg = Cannot scrape callname=ModelReport in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py line=24.
2025-08-26T19:47:04.7235900Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.7236130Z 
2025-08-26T19:47:04.7236350Z The ModelReport class aims to provide users an easy way to diagnose issues that they run into
2025-08-26T19:47:04.7236800Z with their models. The class works with all traceable GraphModules to help diagnose issues,
2025-08-26T19:47:04.7237250Z though the requirements on the type of model more-so depends on the specific report the user
2025-08-26T19:47:04.7237700Z is trying to generate. With respect to the reports, the ModelReport class is initialized with
2025-08-26T19:47:04.7238130Z a set of Detector classes, each of which generate reports on quantization configuration
2025-08-26T19:47:04.7238430Z issues a use might have.
2025-08-26T19:47:04.7238540Z 
2025-08-26T19:47:04.7238620Z Currently supports generating reports on:
2025-08-26T19:47:04.7238900Z - Suggestions for per-channel vs. per-tensor quantization (nn.Module)
2025-08-26T19:47:04.7239290Z - Suggestions for dynamic vs static quantization for linear layers (Graph Modules)
2025-08-26T19:47:04.7239950Z - Suggestions for input-weight equalization for linear and conv layers (Graph Modules)
2025-08-26T19:47:04.7240350Z - Suggestions for outlier detection for all layers (Graph Modules)
2025-08-26T19:47:04.7240630Z 
2025-08-26T19:47:04.7240880Z The ModelReport class has the primary functionality of inserting observers (primarily the ModelReportObserver)
2025-08-26T19:47:04.7241420Z where needed for each detector to gather the information it needs, and then after calibration, the ModelReport
2025-08-26T19:47:04.7241940Z class compiles the report generated by each Detector class into a single report to return to the user. It also
2025-08-26T19:47:04.7242370Z has the capability to remove all the observers it inserted as well.
2025-08-26T19:47:04.7242570Z 
2025-08-26T19:47:04.7242750Z * :attr:`_model` The model we wish to generate the report for. Must be a traceable GraphModule
2025-08-26T19:47:04.7242990Z 
2025-08-26T19:47:04.7243230Z * :attr:`_desired_report_detectors` The set of Detectors representing desired reports from the ModelReport class
2025-08-26T19:47:04.7243730Z     Make sure that these are all unique types of detectors [do not have more than 1 of the same class]
2025-08-26T19:47:04.7243990Z 
2025-08-26T19:47:04.7244180Z * :attr:`_desired_detector_names` The set of detector names of the _desired_report_detectors.
2025-08-26T19:47:04.7244640Z     This set is generated by calling the get_detector_name() of each detector
2025-08-26T19:47:04.7244860Z 
2025-08-26T19:47:04.7245070Z * :attr:`_detector_name_to_observer_fqns` The mapping from each detector to fqns of observers of interest
2025-08-26T19:47:04.7245530Z     The purpose of this is to keep track of what observers were inserted for each detector, so that they
2025-08-26T19:47:04.7245850Z     can be removed at the end if desired
2025-08-26T19:47:04.7245980Z 
2025-08-26T19:47:04.7246170Z * :attr:`_prepared_flag` A boolean flag that keeps track of whether we have prepared the model or not
2025-08-26T19:47:04.7246580Z     This is to ensure we only insert observers once with the ModelReport instance
2025-08-26T19:47:04.7246790Z 
2025-08-26T19:47:04.7246940Z * :attr:`_removed_observers` A boolean to track if we have removed observers already
2025-08-26T19:47:04.7247340Z     The purpose is to ensure we don't attempt to remove observers twice with the same ModelReport
2025-08-26T19:47:04.7247780Z     instance. This also allows the functionality where we can generate the report multiple times
2025-08-26T19:47:04.7248120Z     as long as we haven't removed the observers yet.
2025-08-26T19:47:04.7248270Z 
2025-08-26T19:47:04.7248310Z Note:
2025-08-26T19:47:04.7248560Z     This class was initially designed to work with the Fx Graph Mode workflow in mind. However,
2025-08-26T19:47:04.7248990Z     full functionality is available as long as there is a traceable GraphModule that is being used.
2025-08-26T19:47:04.7249420Z     One method to get a traceable GraphModule without going through the Fx workflow is to use
2025-08-26T19:47:04.7249720Z     the QuantizationTracer class.
2025-08-26T19:47:04.7249850Z 
2025-08-26T19:47:04.7249910Z General Flow for Fx workflow:
2025-08-26T19:47:04.7250260Z 1.) Initialize ModelReport object with reports of interest by passing in initialized detector objects and model
2025-08-26T19:47:04.7250630Z 2.) Prepare your model with prepare_fx
2025-08-26T19:47:04.7250910Z 3.) Call model_report.prepare_detailed_calibration to add relevant observers
2025-08-26T19:47:04.7251190Z 4.) Calibrate your model with data
2025-08-26T19:47:04.7251530Z 5.) Call model_report.generate_report on your model to generate report and optionally remove added observers
2025-08-26T19:47:04.7251850Z Optional
2025-08-26T19:47:04.7252080Z     6.) Call model_report.generate_visualizer to get a ModelReportVisualizer instance
2025-08-26T19:47:04.7252470Z     7.) To help in parsing report information and debugging, view report info as a:
2025-08-26T19:47:04.7252730Z         - Table
2025-08-26T19:47:04.7252860Z         - Histogram
2025-08-26T19:47:04.7252990Z         - Line plot
2025-08-26T19:47:04.7253330Z 8.) Call model_report.generate_qconfigs to generate the qconfigs based on the report suggestions
2025-08-26T19:47:04.7253590Z 
2025-08-26T19:47:04.7253660Z Example (with QuantizationTracer):
2025-08-26T19:47:04.7253870Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:04.7254030Z     >>> # get the necessary qconfig
2025-08-26T19:47:04.7254220Z     >>> config = PrepareCustomConfig()
2025-08-26T19:47:04.7254460Z     >>> skipped_module_names, skipped_module_classes = (
2025-08-26T19:47:04.7254730Z     ...     get_skipped_module_name_and_classes(config, False)
2025-08-26T19:47:04.7254940Z     ... )
2025-08-26T19:47:04.7255010Z 
2025-08-26T19:47:04.7255090Z     >>> # initialize our model and get GraphModule
2025-08-26T19:47:04.7255290Z     >>> model = SomeModel()
2025-08-26T19:47:04.7255550Z     >>> tracer = QuantizationTracer(skipped_module_names, skipped_module_classes)
2025-08-26T19:47:04.7255870Z     >>> graph_module = GraphModule(model, tracer.trace(model))
2025-08-26T19:47:04.7256040Z 
2025-08-26T19:47:04.7256130Z     >>> # get our set of detectors and ModelReport instance
2025-08-26T19:47:04.7256350Z     >>> detector_set = set(
2025-08-26T19:47:04.7256490Z     ...     [
2025-08-26T19:47:04.7256650Z     ...         DynamicStaticDetector(tolerance=0.5),
2025-08-26T19:47:04.7256930Z     ...         InputWeightEqualizationDetector(ratio_threshold=0.7),
2025-08-26T19:47:04.7257200Z     ...     ]
2025-08-26T19:47:04.7257320Z     ... )
2025-08-26T19:47:04.7257510Z     >>> tracer_reporter = ModelReport(graph_module, tracer_detector_set)
2025-08-26T19:47:04.7257700Z 
2025-08-26T19:47:04.7257800Z     >>> # now we insert the observers and calibrate the model
2025-08-26T19:47:04.7258110Z     >>> tracer_model_with_observers = tracer_reporter.prepare_detailed_calibration()
2025-08-26T19:47:04.7258410Z     >>> for i in range(num_callibration_batches):
2025-08-26T19:47:04.7258630Z     >>>     example_input = get_callibration_input()
2025-08-26T19:47:04.7258860Z     >>>     tracer_model_with_observers(example_input)
2025-08-26T19:47:04.7259010Z 
2025-08-26T19:47:04.7259160Z     >>> # finally we generate the reports and optionally remove the observers we inserted
2025-08-26T19:47:04.7259480Z     >>> reports = tracer_reporter.generate_model_report(
2025-08-26T19:47:04.7259700Z     ...     remove_inserted_observers=True
2025-08-26T19:47:04.7259880Z     ... )
2025-08-26T19:47:04.7259950Z 
2025-08-26T19:47:04.7260090Z     >>> # Optional: we can generate the qconfig mapping based on the suggestions
2025-08-26T19:47:04.7260390Z     >>> qconfigs = model_report.generate_qconfig_mapping()
2025-08-26T19:47:04.7260550Z 
2025-08-26T19:47:04.7260700Z     >>> # Optional: we can generate the equalization mapping based on the suggestions
2025-08-26T19:47:04.7261020Z     >>> qconfigs = model_report.generate_equalization_mapping()
2025-08-26T19:47:04.7261190Z 
2025-08-26T19:47:04.7261360Z     >>> # Optional: we get a ModelReportVisualizer instance to do any visualizations desired
2025-08-26T19:47:04.7261730Z     >>> model_report_visualizer = tracer_reporter.generate_visualizer()
2025-08-26T19:47:04.7261920Z 
2025-08-26T19:47:04.7261920Z 
2025-08-26T19:47:04.7262080Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.7262300Z 
2025-08-26T19:47:04.7262780Z msg = Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229.
2025-08-26T19:47:04.7263470Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.7263790Z Squashes the sparse masks into the appropriate tensors.
2025-08-26T19:47:04.7263960Z 
2025-08-26T19:47:04.7264090Z         If either the `params_to_keep` or `params_to_keep_per_layer` is set,
2025-08-26T19:47:04.7264400Z         the module will have a `sparse_params` dict attached to it.
2025-08-26T19:47:04.7264580Z 
2025-08-26T19:47:04.7264620Z         Args:
2025-08-26T19:47:04.7264880Z             params_to_keep: List of keys to save in the module or a dict
2025-08-26T19:47:04.7265170Z                             representing the modules and keys that will have
2025-08-26T19:47:04.7265410Z                             sparsity parameters saved
2025-08-26T19:47:04.7265720Z             params_to_keep_per_layer: Dict to specify the params that should be
2025-08-26T19:47:04.7266020Z                             saved for specific layers. The keys in the dict
2025-08-26T19:47:04.7266280Z                             should be the module fqn, while the values should
2025-08-26T19:47:04.7266540Z                             be a list of strings with the names of the variables
2025-08-26T19:47:04.7266780Z                             to save in the `sparse_params`
2025-08-26T19:47:04.7266930Z 
2025-08-26T19:47:04.7266970Z         Examples:
2025-08-26T19:47:04.7267140Z             >>> # xdoctest: +SKIP("locals are undefined")
2025-08-26T19:47:04.7267360Z             >>> # Don't save any sparse params
2025-08-26T19:47:04.7267560Z             >>> sparsifier.squash_mask()
2025-08-26T19:47:04.7267770Z             >>> hasattr(model.submodule1, "sparse_params")
2025-08-26T19:47:04.7267970Z             False
2025-08-26T19:47:04.7268050Z 
2025-08-26T19:47:04.7268120Z             >>> # Keep sparse params per layer
2025-08-26T19:47:04.7268320Z             >>> sparsifier.squash_mask(
2025-08-26T19:47:04.7268670Z             ...     params_to_keep_per_layer={
2025-08-26T19:47:04.7268890Z             ...         "submodule1.linear1": ("foo", "bar"),
2025-08-26T19:47:04.7269110Z             ...         "submodule2.linear42": ("baz",),
2025-08-26T19:47:04.7269300Z             ...     }
2025-08-26T19:47:04.7269440Z             ... )
2025-08-26T19:47:04.7269610Z             >>> print(model.submodule1.linear1.sparse_params)
2025-08-26T19:47:04.7269830Z             {'foo': 42, 'bar': 24}
2025-08-26T19:47:04.7270040Z             >>> print(model.submodule2.linear42.sparse_params)
2025-08-26T19:47:04.7270250Z             {'baz': 0.1}
2025-08-26T19:47:04.7270340Z 
2025-08-26T19:47:04.7270420Z             >>> # Keep sparse params for all layers
2025-08-26T19:47:04.7270670Z             >>> sparsifier.squash_mask(params_to_keep=("foo", "bar"))
2025-08-26T19:47:04.7270940Z             >>> print(model.submodule1.linear1.sparse_params)
2025-08-26T19:47:04.7271160Z             {'foo': 42, 'bar': 24}
2025-08-26T19:47:04.7271370Z             >>> print(model.submodule2.linear42.sparse_params)
2025-08-26T19:47:04.7271590Z             {'foo': 42, 'bar': 24}
2025-08-26T19:47:04.7271710Z 
2025-08-26T19:47:04.7271830Z             >>> # Keep some sparse params for all layers, and specific ones for
2025-08-26T19:47:04.7272080Z             >>> # some other layers
2025-08-26T19:47:04.7272260Z             >>> sparsifier.squash_mask(
2025-08-26T19:47:04.7272460Z             ...     params_to_keep=("foo", "bar"),
2025-08-26T19:47:04.7272720Z             ...     params_to_keep_per_layer={"submodule2.linear42": ("baz",)},
2025-08-26T19:47:04.7272950Z             ... )
2025-08-26T19:47:04.7273120Z             >>> print(model.submodule1.linear1.sparse_params)
2025-08-26T19:47:04.7273340Z             {'foo': 42, 'bar': 24}
2025-08-26T19:47:04.7273550Z             >>> print(model.submodule2.linear42.sparse_params)
2025-08-26T19:47:04.7273770Z             {'foo': 42, 'bar': 24, 'baz': 0.1}
2025-08-26T19:47:04.7273950Z         
2025-08-26T19:47:04.7274170Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.8220990Z 
2025-08-26T19:47:04.8227060Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16.
2025-08-26T19:47:04.8228160Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.8228430Z 
2025-08-26T19:47:04.8228600Z The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-08-26T19:47:04.8229190Z network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-08-26T19:47:04.8229550Z zeroes out the activations based on the mask_fn (or sparsification function)
2025-08-26T19:47:04.8229900Z input by the user.
2025-08-26T19:47:04.8230130Z The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-08-26T19:47:04.8230440Z mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-08-26T19:47:04.8230600Z 
2025-08-26T19:47:04.8230660Z Note::
2025-08-26T19:47:04.8230920Z     The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-08-26T19:47:04.8231180Z 
2025-08-26T19:47:04.8231230Z Args:
2025-08-26T19:47:04.8231340Z     model (nn.Module):
2025-08-26T19:47:04.8231570Z         The model whose layers will be sparsified. The layers that needs to be
2025-08-26T19:47:04.8231920Z         sparsified should be added separately using the register_layer() function
2025-08-26T19:47:04.8232200Z     aggregate_fn (Optional, Callable):
2025-08-26T19:47:04.8232490Z         default aggregate_fn that is used if not specified while registering the layer.
2025-08-26T19:47:04.8232810Z         specifies how inputs should be aggregated over time.
2025-08-26T19:47:04.8233150Z         The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-08-26T19:47:04.8233490Z         Example
2025-08-26T19:47:04.8233680Z             def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-08-26T19:47:04.8233930Z             reduce_fn (Optional, Callable):
2025-08-26T19:47:04.8234210Z                 default reduce_fn that is used if not specified while registering the layer.
2025-08-26T19:47:04.8234580Z                 reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-08-26T19:47:04.8234870Z                 calling agg_fn() on all inputs.
2025-08-26T19:47:04.8235070Z                 Example
2025-08-26T19:47:04.8235280Z             def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-08-26T19:47:04.8235530Z             mask_fn (Optional, Callable):
2025-08-26T19:47:04.8235850Z                 default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-08-26T19:47:04.8236250Z                 calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-08-26T19:47:04.8236530Z                 register_layer().
2025-08-26T19:47:04.8236860Z                 Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-08-26T19:47:04.8237190Z                 arguments.
2025-08-26T19:47:04.8237350Z             features (Optional, list):
2025-08-26T19:47:04.8237550Z                 default selected features to sparsify.
2025-08-26T19:47:04.8237860Z                 If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-08-26T19:47:04.8238140Z                 For example,
2025-08-26T19:47:04.8238400Z             mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-08-26T19:47:04.8238690Z             feature_dim (Optional, int):
2025-08-26T19:47:04.8238990Z                 default dimension of input features. Again, features along this dim will be chosen
2025-08-26T19:47:04.8239280Z                 for sparsification.
2025-08-26T19:47:04.8239460Z             sparse_config (Dict):
2025-08-26T19:47:04.8239710Z                 Default configuration for the mask_fn. This config will be passed
2025-08-26T19:47:04.8239960Z                 with the mask_fn()
2025-08-26T19:47:04.8240080Z 
2025-08-26T19:47:04.8240130Z Example:
2025-08-26T19:47:04.8240250Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:04.8240400Z     >>> model = SomeModel()
2025-08-26T19:47:04.8240650Z     >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-08-26T19:47:04.8240930Z     >>> # Initialize aggregate_fn
2025-08-26T19:47:04.8241090Z     >>> def agg_fn(x, y):
2025-08-26T19:47:04.8241240Z     >>>     return x + y
2025-08-26T19:47:04.8241650Z     >>>
2025-08-26T19:47:04.8241780Z     >>> # Initialize reduce_fn
2025-08-26T19:47:04.8241940Z     >>> def reduce_fn(x):
2025-08-26T19:47:04.8242090Z     >>>     return torch.mean(x, dim=0)
2025-08-26T19:47:04.8242330Z     >>>
2025-08-26T19:47:04.8242440Z     >>> # Initialize mask_fn
2025-08-26T19:47:04.8242600Z     >>> def mask_fn(data):
2025-08-26T19:47:04.8242780Z     >>>     return torch.eye(data.shape).to(data.device)
2025-08-26T19:47:04.8242970Z     >>>
2025-08-26T19:47:04.8243070Z     >>>
2025-08-26T19:47:04.8243200Z     >>> act_sparsifier.register_layer(
2025-08-26T19:47:04.8243380Z     ...     model.some_layer,
2025-08-26T19:47:04.8243540Z     ...     aggregate_fn=agg_fn,
2025-08-26T19:47:04.8243710Z     ...     reduce_fn=reduce_fn,
2025-08-26T19:47:04.8243870Z     ...     mask_fn=mask_fn,
2025-08-26T19:47:04.8244010Z     ... )
2025-08-26T19:47:04.8244110Z     >>>
2025-08-26T19:47:04.8244230Z     >>> # start training process
2025-08-26T19:47:04.8244390Z     >>> for _ in [...]:
2025-08-26T19:47:04.8244530Z     >>> # epoch starts
2025-08-26T19:47:04.8244730Z     >>> # model.forward(), compute_loss() and model.backwards()
2025-08-26T19:47:04.8244940Z     >>> # epoch ends
2025-08-26T19:47:04.8245090Z     >>>     act_sparsifier.step()
2025-08-26T19:47:04.8245260Z     >>> # end training process
2025-08-26T19:47:04.8245520Z     >>> sparsifier.squash_mask()
2025-08-26T19:47:04.8245640Z 
2025-08-26T19:47:04.8245800Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.8246010Z 
2025-08-26T19:47:04.8246570Z msg = Cannot scrape callname=BaseDataScheduler.get_schedule_param in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py line=91.
2025-08-26T19:47:04.8247330Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.8247550Z 
2025-08-26T19:47:04.8247670Z Abstract method that needs to be implemented by the child class.
2025-08-26T19:47:04.8248010Z The expected return type should is a dictionary of name to schedule_param value
2025-08-26T19:47:04.8248400Z The returned values will be updated in sparsifier when the scheduler step() function
2025-08-26T19:47:04.8248680Z is called.
2025-08-26T19:47:04.8248750Z 
2025-08-26T19:47:04.8248800Z Example:
2025-08-26T19:47:04.8248930Z     >>> def get_schedule_param(self):
2025-08-26T19:47:04.8249100Z     ...     new_param = {}
2025-08-26T19:47:04.8249300Z     ...     for name in self.sparsifier.data_groups.keys():
2025-08-26T19:47:04.8249520Z     ...         new_param[name] = (
2025-08-26T19:47:04.8249770Z     ...             self.sparsifier.data_groups[name][self.schedule_param] * 0.5
2025-08-26T19:47:04.8250010Z     ...         )
2025-08-26T19:47:04.8250140Z     ...     return new_param
2025-08-26T19:47:04.8250240Z 
2025-08-26T19:47:04.8250450Z When the step() function is called, the value in self.sparsifier.data_groups[name][self.schedule_param]
2025-08-26T19:47:04.8250770Z would be halved
2025-08-26T19:47:04.8250850Z 
2025-08-26T19:47:04.8251010Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.8251220Z 
2025-08-26T19:47:04.8251660Z msg = Cannot scrape callname=RelaxedBernoulli in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/relaxed_bernoulli.py line=120.
2025-08-26T19:47:04.8252310Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.8252530Z 
2025-08-26T19:47:04.8252650Z Creates a RelaxedBernoulli distribution, parametrized by
2025-08-26T19:47:04.8252940Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`
2025-08-26T19:47:04.8253270Z (but not both). This is a relaxed version of the `Bernoulli` distribution,
2025-08-26T19:47:04.8253580Z so the values are in (0, 1), and has reparametrizable samples.
2025-08-26T19:47:04.8253760Z 
2025-08-26T19:47:04.8253800Z Example::
2025-08-26T19:47:04.8253870Z 
2025-08-26T19:47:04.8254020Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-26T19:47:04.8254250Z     >>> m = RelaxedBernoulli(torch.tensor([2.2]),
2025-08-26T19:47:04.8254480Z     ...                      torch.tensor([0.1, 0.2, 0.3, 0.99]))
2025-08-26T19:47:04.8254700Z     >>> m.sample()
2025-08-26T19:47:04.8254850Z     tensor([ 0.2951,  0.3442,  0.8918,  0.9021])
2025-08-26T19:47:04.8254980Z 
2025-08-26T19:47:04.8255030Z Args:
2025-08-26T19:47:04.8255170Z     temperature (Tensor): relaxation temperature
2025-08-26T19:47:04.8255420Z     probs (Number, Tensor): the probability of sampling `1`
2025-08-26T19:47:04.8255690Z     logits (Number, Tensor): the log-odds of sampling `1`
2025-08-26T19:47:04.8255850Z 
2025-08-26T19:47:04.8256000Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.8256220Z 
2025-08-26T19:47:04.8256680Z msg = Cannot scrape callname=RelaxedOneHotCategorical in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/relaxed_categorical.py line=109.
2025-08-26T19:47:04.8257360Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.8257590Z 
2025-08-26T19:47:04.8257720Z Creates a RelaxedOneHotCategorical distribution parametrized by
2025-08-26T19:47:04.8258060Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`.
2025-08-26T19:47:04.8258390Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so
2025-08-26T19:47:04.8258700Z its samples are on simplex, and are reparametrizable.
2025-08-26T19:47:04.8258860Z 
2025-08-26T19:47:04.8258910Z Example::
2025-08-26T19:47:04.8258980Z 
2025-08-26T19:47:04.8259060Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-26T19:47:04.8259300Z     >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]),
2025-08-26T19:47:04.8259540Z     ...                              torch.tensor([0.1, 0.2, 0.3, 0.4]))
2025-08-26T19:47:04.8259730Z     >>> m.sample()
2025-08-26T19:47:04.8259890Z     tensor([ 0.1294,  0.2324,  0.3859,  0.2523])
2025-08-26T19:47:04.8260020Z 
2025-08-26T19:47:04.8260060Z Args:
2025-08-26T19:47:04.8260200Z     temperature (Tensor): relaxation temperature
2025-08-26T19:47:04.8260410Z     probs (Tensor): event probabilities
2025-08-26T19:47:04.8260660Z     logits (Tensor): unnormalized log probability for each event
2025-08-26T19:47:04.8260850Z 
2025-08-26T19:47:04.8261000Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.8261220Z 
2025-08-26T19:47:04.8261700Z msg = Cannot scrape callname=LowRankMultivariateNormal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56.
2025-08-26T19:47:04.8262390Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.8262610Z 
2025-08-26T19:47:04.8262790Z Creates a multivariate normal distribution with covariance matrix having a low-rank form
2025-08-26T19:47:04.8263160Z parameterized by :attr:`cov_factor` and :attr:`cov_diag`::
2025-08-26T19:47:04.8263340Z 
2025-08-26T19:47:04.8263450Z     covariance_matrix = cov_factor @ cov_factor.T + cov_diag
2025-08-26T19:47:04.8263620Z 
2025-08-26T19:47:04.8263670Z Example:
2025-08-26T19:47:04.8263820Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-08-26T19:47:04.8264060Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-26T19:47:04.8264280Z     >>> m = LowRankMultivariateNormal(
2025-08-26T19:47:04.8264530Z     ...     torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2)
2025-08-26T19:47:04.8264750Z     ... )
2025-08-26T19:47:04.8264990Z     >>> m.sample()  # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]`
2025-08-26T19:47:04.8265280Z     tensor([-0.2102, -0.5429])
2025-08-26T19:47:04.8265380Z 
2025-08-26T19:47:04.8265420Z Args:
2025-08-26T19:47:04.8265630Z     loc (Tensor): mean of the distribution with shape `batch_shape + event_shape`
2025-08-26T19:47:04.8266040Z     cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape
2025-08-26T19:47:04.8266340Z         `batch_shape + event_shape + (rank,)`
2025-08-26T19:47:04.8266660Z     cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape
2025-08-26T19:47:04.8266940Z         `batch_shape + event_shape`
2025-08-26T19:47:04.8267070Z 
2025-08-26T19:47:04.8267110Z Note:
2025-08-26T19:47:04.8267330Z     The computation for determinant and inverse of covariance matrix is avoided when
2025-08-26T19:47:04.8267700Z     `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity
2025-08-26T19:47:04.8268050Z     <https://en.wikipedia.org/wiki/Woodbury_matrix_identity>`_ and
2025-08-26T19:47:04.8268410Z     `matrix determinant lemma <https://en.wikipedia.org/wiki/Matrix_determinant_lemma>`_.
2025-08-26T19:47:04.8268800Z     Thanks to these formulas, we just need to compute the determinant and inverse of
2025-08-26T19:47:04.8269100Z     the small size "capacitance" matrix::
2025-08-26T19:47:04.8269230Z 
2025-08-26T19:47:04.8269350Z         capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor
2025-08-26T19:47:04.8269530Z 
2025-08-26T19:47:04.8269690Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.8509550Z 
2025-08-26T19:47:04.8510260Z msg = Cannot scrape callname=MixtureSameFamily in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/mixture_same_family.py line=15.
2025-08-26T19:47:04.8510950Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:04.8511180Z 
2025-08-26T19:47:04.8511330Z The `MixtureSameFamily` distribution implements a (batch of) mixture
2025-08-26T19:47:04.8511690Z distribution where all component are from different parameterizations of
2025-08-26T19:47:04.8512030Z the same distribution type. It is parameterized by a `Categorical`
2025-08-26T19:47:04.8512360Z "selecting distribution" (over `k` component) and a component
2025-08-26T19:47:04.8512670Z distribution, i.e., a `Distribution` with a rightmost batch shape
2025-08-26T19:47:04.8512960Z (equal to `[k]`) which indexes each (batch of) component.
2025-08-26T19:47:04.8513130Z 
2025-08-26T19:47:04.8513190Z Examples::
2025-08-26T19:47:04.8513260Z 
2025-08-26T19:47:04.8513330Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:04.8513590Z     >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally
2025-08-26T19:47:04.8513840Z     >>> # weighted normal distributions
2025-08-26T19:47:04.8514040Z     >>> mix = D.Categorical(torch.ones(5,))
2025-08-26T19:47:04.8514260Z     >>> comp = D.Normal(torch.randn(5,), torch.rand(5,))
2025-08-26T19:47:04.8514480Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-08-26T19:47:04.8514620Z 
2025-08-26T19:47:04.8514740Z     >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally
2025-08-26T19:47:04.8515010Z     >>> # weighted bivariate normal distributions
2025-08-26T19:47:04.8515220Z     >>> mix = D.Categorical(torch.ones(5,))
2025-08-26T19:47:04.8515420Z     >>> comp = D.Independent(D.Normal(
2025-08-26T19:47:04.8515630Z     ...          torch.randn(5,2), torch.rand(5,2)), 1)
2025-08-26T19:47:04.8515850Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-08-26T19:47:04.8516000Z 
2025-08-26T19:47:04.8516120Z     >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each
2025-08-26T19:47:04.8516410Z     >>> # consisting of 5 random weighted bivariate normal distributions
2025-08-26T19:47:04.8516670Z     >>> mix = D.Categorical(torch.rand(3,5))
2025-08-26T19:47:04.8516860Z     >>> comp = D.Independent(D.Normal(
2025-08-26T19:47:04.8517070Z     ...         torch.randn(3,5,2), torch.rand(3,5,2)), 1)
2025-08-26T19:47:04.8517280Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-08-26T19:47:04.8517420Z 
2025-08-26T19:47:04.8517460Z Args:
2025-08-26T19:47:04.8517650Z     mixture_distribution: `torch.distributions.Categorical`-like
2025-08-26T19:47:04.8518110Z         instance. Manages the probability of selecting component.
2025-08-26T19:47:04.8518400Z         The number of categories must match the rightmost batch
2025-08-26T19:47:04.8518680Z         dimension of the `component_distribution`. Must have either
2025-08-26T19:47:04.8518990Z         scalar `batch_shape` or `batch_shape` matching
2025-08-26T19:47:04.8519230Z         `component_distribution.batch_shape[:-1]`
2025-08-26T19:47:04.8519520Z     component_distribution: `torch.distributions.Distribution`-like
2025-08-26T19:47:04.8519820Z         instance. Right-most batch dimension indexes component.
2025-08-26T19:47:04.8520000Z 
2025-08-26T19:47:04.8520160Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:04.8520380Z 
2025-08-26T19:47:04.8520430Z gathering tests
2025-08-26T19:47:04.8520560Z running 731 test(s)
2025-08-26T19:47:04.8520990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::typename:0, line 1082 <- wrt source file
2025-08-26T19:47:04.8521660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::typename:0
2025-08-26T19:47:04.8522350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0, line 1118 <- wrt source file
2025-08-26T19:47:04.8523050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0
2025-08-26T19:47:04.8523730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0, line 1203 <- wrt source file
2025-08-26T19:47:04.8524420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0
2025-08-26T19:47:04.8525130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1252 <- wrt source file
2025-08-26T19:47:04.8525850Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-08-26T19:47:04.8526560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0, line 1289 <- wrt source file
2025-08-26T19:47:04.8527250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0
2025-08-26T19:47:04.8527970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1444 <- wrt source file
2025-08-26T19:47:04.8528710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-08-26T19:47:04.8529410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::compile:0, line 2567 <- wrt source file
2025-08-26T19:47:04.8530060Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::compile:0
2025-08-26T19:47:04.8530780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2840 <- wrt source file
2025-08-26T19:47:04.8531580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-08-26T19:47:04.8532310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::Library.define:0, line 153 <- wrt source file
2025-08-26T19:47:04.8532980Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::Library.define:0
2025-08-26T19:47:04.8533820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 247 <- wrt source file
2025-08-26T19:47:04.8534610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-08-26T19:47:04.8535330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::Library.impl:0, line 307 <- wrt source file
2025-08-26T19:47:04.8536000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::Library.impl:0
2025-08-26T19:47:04.8536650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::define:0, line 512 <- wrt source file
2025-08-26T19:47:04.8537290Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::define:0
2025-08-26T19:47:04.8537930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::impl:0, line 618 <- wrt source file
2025-08-26T19:47:04.8538560Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::impl:0
2025-08-26T19:47:04.8539260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::register_kernel:0, line 799 <- wrt source file
2025-08-26T19:47:04.8539940Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::register_kernel:0
2025-08-26T19:47:04.8540650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::register_autocast:0, line 867 <- wrt source file
2025-08-26T19:47:04.8541350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::register_autocast:0
2025-08-26T19:47:04.8542060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::register_torch_dispatch:0, line 1232 <- wrt source file
2025-08-26T19:47:04.8542820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::register_torch_dispatch:0
2025-08-26T19:47:04.8543530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::register_vmap:0, line 1321 <- wrt source file
2025-08-26T19:47:04.8544220Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py::register_vmap:0
2025-08-26T19:47:04.8544890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-08-26T19:47:04.8545560Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0
2025-08-26T19:47:04.8546210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-08-26T19:47:04.8546860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0
2025-08-26T19:47:04.8547520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-08-26T19:47:04.8548230Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-08-26T19:47:04.8698350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-08-26T19:47:04.8699400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0
2025-08-26T19:47:04.8700140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-08-26T19:47:04.8700950Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/torch_version.py::TorchVersion:0
2025-08-26T19:47:04.8701700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0, line 116 <- wrt source file
2025-08-26T19:47:04.8702580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0
2025-08-26T19:47:04.8703340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0, line 422 <- wrt source file
2025-08-26T19:47:04.8704070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0
2025-08-26T19:47:04.8704790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0, line 1577 <- wrt source file
2025-08-26T19:47:04.8705560Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0
2025-08-26T19:47:04.8706280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0, line 1712 <- wrt source file
2025-08-26T19:47:04.8707000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0
2025-08-26T19:47:04.8707740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1960 <- wrt source file
2025-08-26T19:47:04.8708490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-08-26T19:47:04.8709390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0, line 1979 <- wrt source file
2025-08-26T19:47:04.8710090Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0
2025-08-26T19:47:04.8710840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-08-26T19:47:04.8711600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-08-26T19:47:04.8712320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 649 <- wrt source file
2025-08-26T19:47:04.8713060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-08-26T19:47:04.8713810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 706 <- wrt source file
2025-08-26T19:47:04.8714630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-08-26T19:47:04.8715380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1333 <- wrt source file
2025-08-26T19:47:04.8722110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-08-26T19:47:04.8722840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1378 <- wrt source file
2025-08-26T19:47:04.8723650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-08-26T19:47:04.8724330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0, line 1451 <- wrt source file
2025-08-26T19:47:04.8725010Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0
2025-08-26T19:47:04.8725690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1481 <- wrt source file
2025-08-26T19:47:04.8726420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-08-26T19:47:04.8727080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/hub.py::list:0, line 473 <- wrt source file
2025-08-26T19:47:04.8727730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/hub.py::list:0
2025-08-26T19:47:04.8728340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/hub.py::help:0, line 533 <- wrt source file
2025-08-26T19:47:04.8728950Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/hub.py::help:0
2025-08-26T19:47:04.8729600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-08-26T19:47:04.8730320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-08-26T19:47:04.8731050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-08-26T19:47:04.8731770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0
2025-08-26T19:47:04.8732480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-08-26T19:47:04.8733190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0
2025-08-26T19:47:04.8733870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::split:0, line 144 <- wrt source file
2025-08-26T19:47:04.8734530Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::split:0
2025-08-26T19:47:04.8735180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file
2025-08-26T19:47:04.8735850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::einsum:0
2025-08-26T19:47:04.8736550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file
2025-08-26T19:47:04.8737290Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-08-26T19:47:04.8738050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file
2025-08-26T19:47:04.8738750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::tensordot:0
2025-08-26T19:47:04.8739480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file
2025-08-26T19:47:04.8740170Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0
2025-08-26T19:47:04.8740860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file
2025-08-26T19:47:04.8741530Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::block_diag:0
2025-08-26T19:47:04.8742200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file
2025-08-26T19:47:04.8742850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::cdist:0
2025-08-26T19:47:04.8743520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file
2025-08-26T19:47:05.6279280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0
2025-08-26T19:47:05.6280140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file
2025-08-26T19:47:05.6280960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0
2025-08-26T19:47:05.6281800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file
2025-08-26T19:47:05.6282600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::atleast_3d:0
2025-08-26T19:47:05.6283400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file
2025-08-26T19:47:05.6284200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::norm:0
2025-08-26T19:47:05.6285000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::unravel_index:0, line 1903 <- wrt source file
2025-08-26T19:47:05.6285840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::unravel_index:0
2025-08-26T19:47:05.6286680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0, line 2003 <- wrt source file
2025-08-26T19:47:05.6287520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0
2025-08-26T19:47:05.6288350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0, line 2104 <- wrt source file
2025-08-26T19:47:05.6289160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0
2025-08-26T19:47:05.6289990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::Generator:0, line 15 <- wrt source file
2025-08-26T19:47:05.6290860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::Generator:0
2025-08-26T19:47:05.6291980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::_LinAlgError:0, line 5 <- wrt source file
2025-08-26T19:47:05.6292870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::_LinAlgError:0
2025-08-26T19:47:05.6293820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/serialization.py::add_safe_globals:0, line 299 <- wrt source file
2025-08-26T19:47:05.6294680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/serialization.py::add_safe_globals:0
2025-08-26T19:47:05.6295530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/serialization.py::safe_globals:0, line 324 <- wrt source file
2025-08-26T19:47:05.6296380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/serialization.py::safe_globals:0
2025-08-26T19:47:05.6297210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/serialization.py::skip_data:0, line 400 <- wrt source file
2025-08-26T19:47:05.6298030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/serialization.py::skip_data:0
2025-08-26T19:47:05.6298940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/serialization.py::register_package:0, line 472 <- wrt source file
2025-08-26T19:47:05.6299810Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/serialization.py::register_package:0
2025-08-26T19:47:05.6300650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/serialization.py::save:0, line 950 <- wrt source file
2025-08-26T19:47:05.6301450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/serialization.py::save:0
2025-08-26T19:47:05.6302320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-08-26T19:47:05.6303260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-08-26T19:47:05.6304180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 197 <- wrt source file
2025-08-26T19:47:05.6305100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-08-26T19:47:05.6306010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 261 <- wrt source file
2025-08-26T19:47:05.6306900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-08-26T19:47:05.6307780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/futures/__init__.py::collect_all:0, line 295 <- wrt source file
2025-08-26T19:47:05.6308630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/futures/__init__.py::collect_all:0
2025-08-26T19:47:05.6309460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1760 <- wrt source file
2025-08-26T19:47:05.6310300Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-08-26T19:47:05.6311220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 320 <- wrt source file
2025-08-26T19:47:05.6312110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-08-26T19:47:05.6313000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0, line 357 <- wrt source file
2025-08-26T19:47:05.6313850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0
2025-08-26T19:47:05.6314720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 113 <- wrt source file
2025-08-26T19:47:05.6315640Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-08-26T19:47:05.6316540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/accelerator/__init__.py::device_index:0, line 249 <- wrt source file
2025-08-26T19:47:05.6317410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/accelerator/__init__.py::device_index:0
2025-08-26T19:47:05.6318270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-08-26T19:47:05.6319070Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/jit/__init__.py::annotate:0
2025-08-26T19:47:05.6319940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file
2025-08-26T19:47:05.6320890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-08-26T19:47:05.6321760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/export/__init__.py::save:0, line 345 <- wrt source file
2025-08-26T19:47:05.6322560Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/export/__init__.py::save:0
2025-08-26T19:47:05.6323360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/export/__init__.py::load:0, line 415 <- wrt source file
2025-08-26T19:47:05.6324160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/export/__init__.py::load:0
2025-08-26T19:47:05.6324940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/export/__init__.py::register_dataclass:0, line 572 <- wrt source file
2025-08-26T19:47:05.8158240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/export/__init__.py::register_dataclass:0
2025-08-26T19:47:05.8159070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file
2025-08-26T19:47:05.8159840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-08-26T19:47:05.8160590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-08-26T19:47:05.8161340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-08-26T19:47:05.8162330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-08-26T19:47:05.8163040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nested/__init__.py::narrow:0
2025-08-26T19:47:05.8163830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file
2025-08-26T19:47:05.8164600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-08-26T19:47:05.8165370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file
2025-08-26T19:47:05.8166110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nested/__init__.py::masked_select:0
2025-08-26T19:47:05.8166850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 125 <- wrt source file
2025-08-26T19:47:05.8167600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-08-26T19:47:05.8168350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 181 <- wrt source file
2025-08-26T19:47:05.8169160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-08-26T19:47:05.8169900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 411 <- wrt source file
2025-08-26T19:47:05.8170610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-08-26T19:47:05.8171320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::is_compiling:0, line 443 <- wrt source file
2025-08-26T19:47:05.8172030Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-08-26T19:47:05.8172760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 464 <- wrt source file
2025-08-26T19:47:05.8173540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-08-26T19:47:05.8174280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::is_exporting:0, line 482 <- wrt source file
2025-08-26T19:47:05.8174990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-08-26T19:47:05.8175720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 497 <- wrt source file
2025-08-26T19:47:05.8176470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-08-26T19:47:05.8177220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 512 <- wrt source file
2025-08-26T19:47:05.8177960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-08-26T19:47:05.8178790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file
2025-08-26T19:47:05.8179590Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-08-26T19:47:05.8180370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 155 <- wrt source file
2025-08-26T19:47:05.8181070Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-08-26T19:47:05.8181770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_higher_order_ops/map.py::map:0, line 79 <- wrt source file
2025-08-26T19:47:05.8182460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_higher_order_ops/map.py::map:0
2025-08-26T19:47:05.8183150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 156 <- wrt source file
2025-08-26T19:47:05.8183850Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-08-26T19:47:05.8184590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0, line 474 <- wrt source file
2025-08-26T19:47:05.8185390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0
2025-08-26T19:47:05.8186180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 186 <- wrt source file
2025-08-26T19:47:05.8187000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-08-26T19:47:05.8187830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 322 <- wrt source file
2025-08-26T19:47:05.8188690Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-08-26T19:47:05.8189480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file
2025-08-26T19:47:05.8190190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-08-26T19:47:05.8190900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0, line 459 <- wrt source file
2025-08-26T19:47:05.8191600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0
2025-08-26T19:47:05.8192310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-08-26T19:47:05.8193030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-08-26T19:47:05.8193760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 768 <- wrt source file
2025-08-26T19:47:05.8194510Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-08-26T19:47:05.8195330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 233 <- wrt source file
2025-08-26T19:47:05.8196070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-08-26T19:47:05.8196850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 475 <- wrt source file
2025-08-26T19:47:05.8236180Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-08-26T19:47:05.8236980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1023 <- wrt source file
2025-08-26T19:47:05.8237740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-08-26T19:47:05.8238530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1181 <- wrt source file
2025-08-26T19:47:05.8239310Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-08-26T19:47:05.8240280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1341 <- wrt source file
2025-08-26T19:47:05.8241050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-08-26T19:47:05.8241840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1505 <- wrt source file
2025-08-26T19:47:05.8242660Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-08-26T19:47:05.8243460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1704 <- wrt source file
2025-08-26T19:47:05.8244250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-08-26T19:47:05.8245060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file
2025-08-26T19:47:05.8245910Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-08-26T19:47:05.8246730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file
2025-08-26T19:47:05.8247540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-08-26T19:47:05.8248390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1131 <- wrt source file
2025-08-26T19:47:05.8249260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0
2025-08-26T19:47:05.8250200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1186 <- wrt source file
2025-08-26T19:47:05.8251160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0
2025-08-26T19:47:05.8251980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file
2025-08-26T19:47:05.8252770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-08-26T19:47:05.8253530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file
2025-08-26T19:47:05.8254300Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-08-26T19:47:05.8255060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file
2025-08-26T19:47:05.8255830Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-08-26T19:47:05.8256600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file
2025-08-26T19:47:05.8257420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-08-26T19:47:05.8258210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file
2025-08-26T19:47:05.8259040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-08-26T19:47:05.8259870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file
2025-08-26T19:47:05.8260650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-08-26T19:47:05.8261400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file
2025-08-26T19:47:05.8262130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-08-26T19:47:05.8262860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file
2025-08-26T19:47:05.8263610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-08-26T19:47:05.8264380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1410 <- wrt source file
2025-08-26T19:47:05.8265220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-08-26T19:47:05.8266090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 158 <- wrt source file
2025-08-26T19:47:05.8266990Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-08-26T19:47:05.8267900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 460 <- wrt source file
2025-08-26T19:47:05.8268720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-08-26T19:47:05.8269590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 579 <- wrt source file
2025-08-26T19:47:05.8270400Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-08-26T19:47:05.8271170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2174 <- wrt source file
2025-08-26T19:47:05.8271880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-08-26T19:47:05.8272580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::embedding:0, line 2478 <- wrt source file
2025-08-26T19:47:05.8273270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::embedding:0
2025-08-26T19:47:05.8274120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::embedding_bag:0, line 2618 <- wrt source file
2025-08-26T19:47:05.8274830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::embedding_bag:0
2025-08-26T19:47:05.8275530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0, line 3051 <- wrt source file
2025-08-26T19:47:05.8298760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0
2025-08-26T19:47:05.8299490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0, line 3121 <- wrt source file
2025-08-26T19:47:05.8300200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0
2025-08-26T19:47:05.8300920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0, line 3430 <- wrt source file
2025-08-26T19:47:05.8301660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0
2025-08-26T19:47:05.8302430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3495 <- wrt source file
2025-08-26T19:47:05.8303190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-08-26T19:47:05.8303990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3565 <- wrt source file
2025-08-26T19:47:05.8304800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-08-26T19:47:05.8305550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::pad:0, line 5263 <- wrt source file
2025-08-26T19:47:05.8306220Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/functional.py::pad:0
2025-08-26T19:47:05.8306980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0, line 230 <- wrt source file
2025-08-26T19:47:05.8307640Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0
2025-08-26T19:47:05.8308320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::normal_:0, line 257 <- wrt source file
2025-08-26T19:47:05.8308970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::normal_:0
2025-08-26T19:47:05.8309620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0, line 292 <- wrt source file
2025-08-26T19:47:05.8310300Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0
2025-08-26T19:47:05.8310960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::constant_:0, line 306 <- wrt source file
2025-08-26T19:47:05.8311610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::constant_:0
2025-08-26T19:47:05.8312260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::ones_:0, line 323 <- wrt source file
2025-08-26T19:47:05.8312920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::ones_:0
2025-08-26T19:47:05.8313560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0, line 336 <- wrt source file
2025-08-26T19:47:05.8314200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0
2025-08-26T19:47:05.8314820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::eye_:0, line 352 <- wrt source file
2025-08-26T19:47:05.8315460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::eye_:0
2025-08-26T19:47:05.8316090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0, line 374 <- wrt source file
2025-08-26T19:47:05.8316730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0
2025-08-26T19:47:05.8317380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0, line 460 <- wrt source file
2025-08-26T19:47:05.8318060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-08-26T19:47:05.8318770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0, line 492 <- wrt source file
2025-08-26T19:47:05.8319450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0
2025-08-26T19:47:05.8320130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 543 <- wrt source file
2025-08-26T19:47:05.8320820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-08-26T19:47:05.8321490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0, line 608 <- wrt source file
2025-08-26T19:47:05.8322170Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-08-26T19:47:05.8323020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0, line 647 <- wrt source file
2025-08-26T19:47:05.8323700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0
2025-08-26T19:47:05.8324400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0, line 700 <- wrt source file
2025-08-26T19:47:05.8325050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0
2025-08-26T19:47:05.8325710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-08-26T19:47:05.8326370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0
2025-08-26T19:47:05.8327040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-08-26T19:47:05.8327700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-08-26T19:47:05.8328360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-08-26T19:47:05.8329070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0
2025-08-26T19:47:05.8329740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-08-26T19:47:05.8330410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-08-26T19:47:05.8331070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-08-26T19:47:05.8331730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0
2025-08-26T19:47:05.8332400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-08-26T19:47:05.8333070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-08-26T19:47:05.8333790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 120 <- wrt source file
2025-08-26T19:47:05.8334560Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-08-26T19:47:05.8335330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 95 <- wrt source file
2025-08-26T19:47:05.8341440Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-08-26T19:47:05.8342200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 127 <- wrt source file
2025-08-26T19:47:05.8342970Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-08-26T19:47:07.3013400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 642 <- wrt source file
2025-08-26T19:47:07.3014620Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-08-26T19:47:07.3015530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1446 <- wrt source file
2025-08-26T19:47:07.3016510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-08-26T19:47:07.3017470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1999 <- wrt source file
2025-08-26T19:47:07.3018450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-08-26T19:47:07.3019410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2009 <- wrt source file
2025-08-26T19:47:07.3020360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-08-26T19:47:07.3021410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2044 <- wrt source file
2025-08-26T19:47:07.3022400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-08-26T19:47:07.3023280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file
2025-08-26T19:47:07.3024030Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-08-26T19:47:07.3024810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 346 <- wrt source file
2025-08-26T19:47:07.3025610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-08-26T19:47:07.3026390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 196 <- wrt source file
2025-08-26T19:47:07.3027150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-08-26T19:47:07.3027930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file
2025-08-26T19:47:07.3028740Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0
2025-08-26T19:47:07.3029520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file
2025-08-26T19:47:07.3030250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-08-26T19:47:07.3031000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file
2025-08-26T19:47:07.3031750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-08-26T19:47:07.3032550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0, line 849 <- wrt source file
2025-08-26T19:47:07.3033270Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0
2025-08-26T19:47:07.3033990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 885 <- wrt source file
2025-08-26T19:47:07.3034740Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-08-26T19:47:07.3035460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 928 <- wrt source file
2025-08-26T19:47:07.3036180Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-08-26T19:47:07.3036910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_structured:0, line 968 <- wrt source file
2025-08-26T19:47:07.3037640Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_structured:0
2025-08-26T19:47:07.3038390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0, line 1197 <- wrt source file
2025-08-26T19:47:07.3039070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0
2025-08-26T19:47:07.3039770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1225 <- wrt source file
2025-08-26T19:47:07.3040470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-08-26T19:47:07.3041220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file
2025-08-26T19:47:07.3041990Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-08-26T19:47:07.3042770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 360 <- wrt source file
2025-08-26T19:47:07.3043540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-08-26T19:47:07.3044330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 591 <- wrt source file
2025-08-26T19:47:07.3045120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-08-26T19:47:07.3045860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file
2025-08-26T19:47:07.3046560Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0
2025-08-26T19:47:07.3047260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file
2025-08-26T19:47:07.3047950Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-08-26T19:47:07.3048700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file
2025-08-26T19:47:07.3049410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-08-26T19:47:07.3050140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file
2025-08-26T19:47:07.3050840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-08-26T19:47:07.3051550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file
2025-08-26T19:47:07.3052260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-08-26T19:47:07.3053110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file
2025-08-26T19:47:07.6167570Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0
2025-08-26T19:47:07.6168820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file
2025-08-26T19:47:07.6169660Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-08-26T19:47:07.6170430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-08-26T19:47:07.6171170Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-08-26T19:47:07.6171930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file
2025-08-26T19:47:07.6172730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-08-26T19:47:07.6173550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file
2025-08-26T19:47:07.6174340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-08-26T19:47:07.6175140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-08-26T19:47:07.6175920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-08-26T19:47:07.6176710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file
2025-08-26T19:47:07.6177480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-08-26T19:47:07.6178250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file
2025-08-26T19:47:07.6179160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-08-26T19:47:07.6180120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file
2025-08-26T19:47:07.6181110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-08-26T19:47:07.6181960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file
2025-08-26T19:47:07.6182730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-08-26T19:47:07.6183470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 332 <- wrt source file
2025-08-26T19:47:07.6184210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-08-26T19:47:07.6184950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 443 <- wrt source file
2025-08-26T19:47:07.6185740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-08-26T19:47:07.6186470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 554 <- wrt source file
2025-08-26T19:47:07.6187210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-08-26T19:47:07.6187930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-08-26T19:47:07.6188620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0
2025-08-26T19:47:07.6189320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file
2025-08-26T19:47:07.6190020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0
2025-08-26T19:47:07.6190700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file
2025-08-26T19:47:07.6191400Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-08-26T19:47:07.6192110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-08-26T19:47:07.6192840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-08-26T19:47:07.6193560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file
2025-08-26T19:47:07.6194280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-08-26T19:47:07.6194980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file
2025-08-26T19:47:07.6195700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-08-26T19:47:07.6196450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file
2025-08-26T19:47:07.6197180Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-08-26T19:47:07.6197930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file
2025-08-26T19:47:07.6198650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-08-26T19:47:07.6199370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file
2025-08-26T19:47:07.6200080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-08-26T19:47:07.6200790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file
2025-08-26T19:47:07.6201500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-08-26T19:47:07.6202260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file
2025-08-26T19:47:07.6202960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-08-26T19:47:07.6203700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file
2025-08-26T19:47:07.6204460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-08-26T19:47:07.6205230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file
2025-08-26T19:47:07.6205990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-08-26T19:47:07.6206730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1152 <- wrt source file
2025-08-26T19:47:07.6207450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-08-26T19:47:07.6224830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1204 <- wrt source file
2025-08-26T19:47:07.6225640Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-08-26T19:47:07.6226460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1264 <- wrt source file
2025-08-26T19:47:07.6227210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-08-26T19:47:07.6227980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1320 <- wrt source file
2025-08-26T19:47:07.6228770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-08-26T19:47:07.6229660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1355 <- wrt source file
2025-08-26T19:47:07.6230460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-08-26T19:47:07.6231290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1399 <- wrt source file
2025-08-26T19:47:07.6232070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-08-26T19:47:07.6232850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1447 <- wrt source file
2025-08-26T19:47:07.6233630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-08-26T19:47:07.6234420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1481 <- wrt source file
2025-08-26T19:47:07.6235350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-08-26T19:47:07.6236180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1521 <- wrt source file
2025-08-26T19:47:07.6237100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-08-26T19:47:07.6237890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-08-26T19:47:07.6238710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-08-26T19:47:07.6239480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file
2025-08-26T19:47:07.6240300Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-08-26T19:47:07.6241060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-08-26T19:47:07.6241800Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0
2025-08-26T19:47:07.6242570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 260 <- wrt source file
2025-08-26T19:47:07.6243360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-08-26T19:47:07.6244150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 283 <- wrt source file
2025-08-26T19:47:07.6244950Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-08-26T19:47:07.6245730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 314 <- wrt source file
2025-08-26T19:47:07.6246510Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-08-26T19:47:07.6247300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0, line 343 <- wrt source file
2025-08-26T19:47:07.6248050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-08-26T19:47:07.6248790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 523 <- wrt source file
2025-08-26T19:47:07.6249520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-08-26T19:47:07.6250260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0, line 653 <- wrt source file
2025-08-26T19:47:07.6251010Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-08-26T19:47:07.6251760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 808 <- wrt source file
2025-08-26T19:47:07.6252520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-08-26T19:47:07.6253310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-08-26T19:47:07.6254070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-08-26T19:47:07.6254840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file
2025-08-26T19:47:07.6255620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-08-26T19:47:07.6256350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file
2025-08-26T19:47:07.6257040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-08-26T19:47:07.6257720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 215 <- wrt source file
2025-08-26T19:47:07.6258410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-08-26T19:47:07.6259110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 329 <- wrt source file
2025-08-26T19:47:07.6259830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-08-26T19:47:07.6260550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 418 <- wrt source file
2025-08-26T19:47:07.6261280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-08-26T19:47:07.6261990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 535 <- wrt source file
2025-08-26T19:47:07.6262680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-08-26T19:47:07.6263470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 617 <- wrt source file
2025-08-26T19:47:07.6264160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-08-26T19:47:07.6264900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 703 <- wrt source file
2025-08-26T19:47:08.4164960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-08-26T19:47:08.4165790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 778 <- wrt source file
2025-08-26T19:47:08.4166570Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-08-26T19:47:08.4167350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 826 <- wrt source file
2025-08-26T19:47:08.4168110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-08-26T19:47:08.4169130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 974 <- wrt source file
2025-08-26T19:47:08.4169910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-08-26T19:47:08.4170670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1306 <- wrt source file
2025-08-26T19:47:08.4171440Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-08-26T19:47:08.4172200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1333 <- wrt source file
2025-08-26T19:47:08.4172960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1
2025-08-26T19:47:08.4173730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1495 <- wrt source file
2025-08-26T19:47:08.4174510Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-08-26T19:47:08.4175280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1562 <- wrt source file
2025-08-26T19:47:08.4176050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-08-26T19:47:08.4176810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1643 <- wrt source file
2025-08-26T19:47:08.4177570Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-08-26T19:47:08.4178330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1745 <- wrt source file
2025-08-26T19:47:08.4179090Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-08-26T19:47:08.4179930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-08-26T19:47:08.4180670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-08-26T19:47:08.4181450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file
2025-08-26T19:47:08.4182160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-08-26T19:47:08.4182880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file
2025-08-26T19:47:08.4183600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-08-26T19:47:08.4184330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file
2025-08-26T19:47:08.4185060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-08-26T19:47:08.4185830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file
2025-08-26T19:47:08.4186550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-08-26T19:47:08.4187270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file
2025-08-26T19:47:08.4187990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-08-26T19:47:08.4188730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file
2025-08-26T19:47:08.4189480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-08-26T19:47:08.4190220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file
2025-08-26T19:47:08.4190940Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-08-26T19:47:08.4191660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file
2025-08-26T19:47:08.4192380Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-08-26T19:47:08.4193100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file
2025-08-26T19:47:08.4193820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0
2025-08-26T19:47:08.4194550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file
2025-08-26T19:47:08.4195280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-08-26T19:47:08.4195990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file
2025-08-26T19:47:08.4196750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0
2025-08-26T19:47:08.4197470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file
2025-08-26T19:47:08.4198210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0
2025-08-26T19:47:08.4198920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file
2025-08-26T19:47:08.4199630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0
2025-08-26T19:47:08.4200330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file
2025-08-26T19:47:08.4201040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0
2025-08-26T19:47:08.4201750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file
2025-08-26T19:47:08.4202490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0
2025-08-26T19:47:08.4203230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file
2025-08-26T19:47:08.4203970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-08-26T19:47:08.4204700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file
2025-08-26T19:47:09.1235700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-08-26T19:47:09.1236540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file
2025-08-26T19:47:09.1237320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-08-26T19:47:09.1238190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file
2025-08-26T19:47:09.1238930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-08-26T19:47:09.1239790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file
2025-08-26T19:47:09.1240550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-08-26T19:47:09.1241330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1144 <- wrt source file
2025-08-26T19:47:09.1242240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-08-26T19:47:09.1243140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1609 <- wrt source file
2025-08-26T19:47:09.1244080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-08-26T19:47:09.1244900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1660 <- wrt source file
2025-08-26T19:47:09.1245680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-08-26T19:47:09.1251810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1686 <- wrt source file
2025-08-26T19:47:09.1252560Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-08-26T19:47:09.1253280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1724 <- wrt source file
2025-08-26T19:47:09.1254010Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-08-26T19:47:09.1254720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1788 <- wrt source file
2025-08-26T19:47:09.1255510Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-08-26T19:47:09.1256240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1835 <- wrt source file
2025-08-26T19:47:09.1256970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-08-26T19:47:09.1257700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1874 <- wrt source file
2025-08-26T19:47:09.1258450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-08-26T19:47:09.1259190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 90 <- wrt source file
2025-08-26T19:47:09.1259940Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-08-26T19:47:09.1260710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 336 <- wrt source file
2025-08-26T19:47:09.1261500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-08-26T19:47:09.1262290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 562 <- wrt source file
2025-08-26T19:47:09.1263080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-08-26T19:47:09.1263890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 686 <- wrt source file
2025-08-26T19:47:09.1264710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-08-26T19:47:09.1265520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 995 <- wrt source file
2025-08-26T19:47:09.1266440Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-08-26T19:47:09.1267210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file
2025-08-26T19:47:09.1267960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-08-26T19:47:09.1268720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file
2025-08-26T19:47:09.1269500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-08-26T19:47:09.1270300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 521 <- wrt source file
2025-08-26T19:47:09.1271110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-08-26T19:47:09.1271900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 551 <- wrt source file
2025-08-26T19:47:09.1272720Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-08-26T19:47:09.1273470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1039 <- wrt source file
2025-08-26T19:47:09.1274190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-08-26T19:47:09.1274900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0, line 1290 <- wrt source file
2025-08-26T19:47:09.1275610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0
2025-08-26T19:47:09.1276350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2229 <- wrt source file
2025-08-26T19:47:09.1277100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-08-26T19:47:09.1277850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2670 <- wrt source file
2025-08-26T19:47:09.1278600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-08-26T19:47:09.1279360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2698 <- wrt source file
2025-08-26T19:47:09.1280140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-08-26T19:47:09.1280900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2725 <- wrt source file
2025-08-26T19:47:09.7757780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-08-26T19:47:09.7758640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2752 <- wrt source file
2025-08-26T19:47:09.7759710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-08-26T19:47:09.7760550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2783 <- wrt source file
2025-08-26T19:47:09.7761330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-08-26T19:47:09.7762090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2807 <- wrt source file
2025-08-26T19:47:09.7762820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-08-26T19:47:09.7763570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2845 <- wrt source file
2025-08-26T19:47:09.7764360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-08-26T19:47:09.7765200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-08-26T19:47:09.7765930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-08-26T19:47:09.7766670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file
2025-08-26T19:47:09.7767410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-08-26T19:47:09.7768140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file
2025-08-26T19:47:09.7768880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-08-26T19:47:09.7769610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file
2025-08-26T19:47:09.7770350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-08-26T19:47:09.7771100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file
2025-08-26T19:47:09.7771860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-08-26T19:47:09.7772630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file
2025-08-26T19:47:09.7773430Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-08-26T19:47:09.7774210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2025-08-26T19:47:09.7774980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-08-26T19:47:09.7775800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-08-26T19:47:09.7776720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-08-26T19:47:09.7777550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file
2025-08-26T19:47:09.7778330Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-08-26T19:47:09.7779080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file
2025-08-26T19:47:09.7779830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-08-26T19:47:09.7780570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 367 <- wrt source file
2025-08-26T19:47:09.7781310Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-08-26T19:47:09.7782010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0, line 595 <- wrt source file
2025-08-26T19:47:09.7782820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-08-26T19:47:09.7783520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 953 <- wrt source file
2025-08-26T19:47:09.7784190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-08-26T19:47:09.7784850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1288 <- wrt source file
2025-08-26T19:47:09.7785520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-08-26T19:47:09.7786220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1537 <- wrt source file
2025-08-26T19:47:09.7786920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-08-26T19:47:09.7787610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1659 <- wrt source file
2025-08-26T19:47:09.7788290Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-08-26T19:47:09.7788970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1773 <- wrt source file
2025-08-26T19:47:09.7789650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-08-26T19:47:09.7790380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file
2025-08-26T19:47:09.7791140Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-08-26T19:47:09.7791900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 122 <- wrt source file
2025-08-26T19:47:09.7792630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-08-26T19:47:09.7793400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 187 <- wrt source file
2025-08-26T19:47:09.7794150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-08-26T19:47:09.7794880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 241 <- wrt source file
2025-08-26T19:47:09.7795610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-08-26T19:47:09.7796340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 294 <- wrt source file
2025-08-26T19:47:09.7797070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
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2025-08-26T19:47:09.7798600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
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2025-08-26T19:47:09.7800070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
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2025-08-26T19:47:09.7801560Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
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2025-08-26T19:47:09.7803040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-08-26T19:47:09.7803790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 556 <- wrt source file
2025-08-26T19:47:09.7804540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-08-26T19:47:09.7805290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 600 <- wrt source file
2025-08-26T19:47:09.7806040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
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2025-08-26T19:47:09.7807540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-08-26T19:47:09.7808270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 692 <- wrt source file
2025-08-26T19:47:09.7808980Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-08-26T19:47:09.7809860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 750 <- wrt source file
2025-08-26T19:47:09.7810620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-08-26T19:47:09.7811340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 812 <- wrt source file
2025-08-26T19:47:09.7812050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-08-26T19:47:09.7812750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file
2025-08-26T19:47:09.7813420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0
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2025-08-26T19:47:09.7814780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-08-26T19:47:09.7815530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/run.py::__doc__:0, line 57 <- wrt source file
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2025-08-26T19:47:09.7873920Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0
2025-08-26T19:47:09.7874850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 102 <- wrt source file
2025-08-26T19:47:09.7875780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0
2025-08-26T19:47:09.7876620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file
2025-08-26T19:47:09.7877450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-08-26T19:47:09.7878320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0, line 107 <- wrt source file
2025-08-26T19:47:09.7879310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0
2025-08-26T19:47:09.7880280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0, line 64 <- wrt source file
2025-08-26T19:47:09.7881290Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_pertensor_hook:0
2025-08-26T19:47:09.7882300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0, line 145 <- wrt source file
2025-08-26T19:47:09.7883320Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0
2025-08-26T19:47:09.7884310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0, line 23 <- wrt source file
2025-08-26T19:47:09.7885210Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0
2025-08-26T19:47:09.7886110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0, line 49 <- wrt source file
2025-08-26T19:47:09.7887020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::allreduce_hook:0
2025-08-26T19:47:09.7887950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0, line 104 <- wrt source file
2025-08-26T19:47:09.7888870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_hook:0
2025-08-26T19:47:09.7889830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0, line 125 <- wrt source file
2025-08-26T19:47:09.7890820Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_hook:0
2025-08-26T19:47:09.7891820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0, line 143 <- wrt source file
2025-08-26T19:47:09.7892810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::fp16_compress_wrapper:0
2025-08-26T19:47:09.7893760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0, line 182 <- wrt source file
2025-08-26T19:47:09.7894740Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py::bf16_compress_wrapper:0
2025-08-26T19:47:09.7895690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0, line 708 <- wrt source file
2025-08-26T19:47:09.7896670Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py::batched_powerSGD_hook:0
2025-08-26T19:47:09.7897560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0, line 43 <- wrt source file
2025-08-26T19:47:09.7898390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/optim/named_optimizer.py::_NamedOptimizer:0
2025-08-26T19:47:09.7899290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0, line 43 <- wrt source file
2025-08-26T19:47:09.7900280Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_apply_optimizer_in_backward:0
2025-08-26T19:47:09.7901310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0, line 114 <- wrt source file
2025-08-26T19:47:09.7902270Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py::_get_in_backward_optimizers:0
2025-08-26T19:47:09.7903150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0, line 37 <- wrt source file
2025-08-26T19:47:09.7904000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/optim/utils.py::register_functional_optim:0
2025-08-26T19:47:09.7904850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_composable/replicate.py::replicate:0, line 190 <- wrt source file
2025-08-26T19:47:09.7905680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_composable/replicate.py::replicate:0
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2025-08-26T19:47:09.7907330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_composable/replicate_with_fsdp.py::replicate:0
2025-08-26T19:47:09.7908140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_composable/contract.py::contract:0, line 66 <- wrt source file
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2025-08-26T19:47:09.7909740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0, line 53 <- wrt source file
2025-08-26T19:47:09.7910600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0
2025-08-26T19:47:09.7911430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0, line 55 <- wrt source file
2025-08-26T19:47:09.7912290Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_tools/memory_tracker.py::MemoryTracker:0
2025-08-26T19:47:09.7913120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0, line 54 <- wrt source file
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2025-08-26T19:47:09.7914900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel:0, line 125 <- wrt source file
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2025-08-26T19:47:09.7918140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.shard_full_optim_state_dict:0
2025-08-26T19:47:09.7919360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1610 <- wrt source file
2025-08-26T19:47:09.7920540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0
2025-08-26T19:47:09.7921620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0, line 1695 <- wrt source file
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2025-08-26T19:47:09.7923740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/api.py::StateDictType:0, line 262 <- wrt source file
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2025-08-26T19:47:09.7934070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0, line 31 <- wrt source file
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2025-08-26T19:47:09.7936100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/_ops/_common.py::_sharded_op_common:0, line 18 <- wrt source file
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2025-08-26T19:47:09.7937870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::put:0, line 142 <- wrt source file
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2025-08-26T19:47:09.7940320Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::get:0
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2025-08-26T19:47:09.7942960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::wait_until:0, line 323 <- wrt source file
2025-08-26T19:47:09.7943810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::wait_until:0
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2025-08-26T19:47:09.7947380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_symmetric_memory/_nvshmem_triton.py::signal_op:0
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2025-08-26T19:47:09.7984260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/rpc/api.py::remote:0
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2025-08-26T19:47:09.7987960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file
2025-08-26T19:47:09.7988710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0
2025-08-26T19:47:09.7989440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::Node.name:0, line 53 <- wrt source file
2025-08-26T19:47:09.7990130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::Node.name:0
2025-08-26T19:47:09.7990840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 110 <- wrt source file
2025-08-26T19:47:09.7991580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_hook:0
2025-08-26T19:47:09.7992350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 147 <- wrt source file
2025-08-26T19:47:09.7993100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_prehook:0
2025-08-26T19:47:09.7993840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 283 <- wrt source file
2025-08-26T19:47:09.7994580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0
2025-08-26T19:47:09.7995290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 353 <- wrt source file
2025-08-26T19:47:09.7996000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::save_on_cpu:0
2025-08-26T19:47:09.7996740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 410 <- wrt source file
2025-08-26T19:47:09.7997520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0
2025-08-26T19:47:09.7998300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 487 <- wrt source file
2025-08-26T19:47:09.7999060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-08-26T19:47:09.7999840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 753 <- wrt source file
2025-08-26T19:47:09.8000640Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
2025-08-26T19:47:09.8001400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file
2025-08-26T19:47:09.8002100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/forward_ad.py::make_dual:0
2025-08-26T19:47:09.8002860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file
2025-08-26T19:47:09.8003610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/forward_ad.py::unpack_dual:0
2025-08-26T19:47:09.8004350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file
2025-08-26T19:47:09.8005070Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/forward_ad.py::dual_level:0
2025-08-26T19:47:09.8005790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/functional.py::vjp:0, line 293 <- wrt source file
2025-08-26T19:47:09.8006480Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/functional.py::vjp:0
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2025-08-26T19:47:09.8007890Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/functional.py::jvp:0
2025-08-26T19:47:09.8008630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/functional.py::jacobian:0, line 630 <- wrt source file
2025-08-26T19:47:09.8009360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/functional.py::jacobian:0
2025-08-26T19:47:09.8010080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/functional.py::hessian:0, line 894 <- wrt source file
2025-08-26T19:47:09.8010790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/functional.py::hessian:0
2025-08-26T19:47:09.8011500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/functional.py::vhp:0, line 1010 <- wrt source file
2025-08-26T19:47:09.8012200Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/functional.py::vhp:0
2025-08-26T19:47:09.8012900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/functional.py::hvp:0, line 1109 <- wrt source file
2025-08-26T19:47:09.8013590Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/functional.py::hvp:0
2025-08-26T19:47:09.8014290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file
2025-08-26T19:47:09.8015010Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/grad_mode.py::no_grad:0
2025-08-26T19:47:09.8015720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file
2025-08-26T19:47:09.8016440Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/grad_mode.py::enable_grad:0
2025-08-26T19:47:09.8017160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file
2025-08-26T19:47:09.8017910Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0
2025-08-26T19:47:09.8018720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 238 <- wrt source file
2025-08-26T19:47:09.8019460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/grad_mode.py::inference_mode:0
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2025-08-26T19:47:09.8020930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/profiler.py::profile:0
2025-08-26T19:47:09.8021630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_itt:0, line 880 <- wrt source file
2025-08-26T19:47:09.8022350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_itt:0
2025-08-26T19:47:09.8023060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 953 <- wrt source file
2025-08-26T19:47:09.8023780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_nvtx:0
2025-08-26T19:47:09.8024540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 71 <- wrt source file
2025-08-26T19:47:09.8025390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
2025-08-26T19:47:09.8026200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 115 <- wrt source file
2025-08-26T19:47:09.8027000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-08-26T19:47:09.8027790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 167 <- wrt source file
2025-08-26T19:47:09.8028570Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
2025-08-26T19:47:09.8029390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 214 <- wrt source file
2025-08-26T19:47:09.8030240Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
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2025-08-26T19:47:09.8051220Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
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2025-08-26T19:47:09.8053000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
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2025-08-26T19:47:09.8054750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
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2025-08-26T19:47:09.8056460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
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2025-08-26T19:47:09.8060060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
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2025-08-26T19:47:09.8063560Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
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2025-08-26T19:47:09.8065280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
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2025-08-26T19:47:09.8067000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
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2025-08-26T19:47:09.8068690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
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2025-08-26T19:47:09.8076890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
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2025-08-26T19:47:09.8080110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-08-26T19:47:09.8080910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::freeze:0, line 95 <- wrt source file
2025-08-26T19:47:09.8081690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
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2025-08-26T19:47:09.8093380Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
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2025-08-26T19:47:09.8100760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
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2025-08-26T19:47:09.8102580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-08-26T19:47:09.8103490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 68 <- wrt source file
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2025-08-26T19:47:09.8106290Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-08-26T19:47:09.8107180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 117 <- wrt source file
2025-08-26T19:47:09.8108080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-08-26T19:47:09.8108900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file
2025-08-26T19:47:09.8109630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-08-26T19:47:09.8110380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/passes/split_module.py::split_module:0, line 89 <- wrt source file
2025-08-26T19:47:09.8111130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-08-26T19:47:09.8111910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file
2025-08-26T19:47:09.8112750Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-08-26T19:47:09.8113660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file
2025-08-26T19:47:09.8114640Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0
2025-08-26T19:47:09.8115480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 42 <- wrt source file
2025-08-26T19:47:09.8116180Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/gds.py::gds_register_buffer:0
2025-08-26T19:47:09.8116880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 58 <- wrt source file
2025-08-26T19:47:09.8117580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0
2025-08-26T19:47:09.8118260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/gds.py::GdsFile:0, line 85 <- wrt source file
2025-08-26T19:47:09.8118910Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/gds.py::GdsFile:0
2025-08-26T19:47:09.8119590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file
2025-08-26T19:47:09.8120310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
2025-08-26T19:47:09.8121060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file
2025-08-26T19:47:09.8121770Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
2025-08-26T19:47:09.8122510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file
2025-08-26T19:47:09.8123230Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-08-26T19:47:09.8123960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file
2025-08-26T19:47:09.8227730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0
2025-08-26T19:47:09.8228510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-08-26T19:47:09.8229220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/profiler.py::profile:0
2025-08-26T19:47:09.8230010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/masked/_ops.py::logaddexp:0, line 1530 <- wrt source file
2025-08-26T19:47:09.8230680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/masked/_ops.py::logaddexp:0
2025-08-26T19:47:09.8231410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file
2025-08-26T19:47:09.8232190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-08-26T19:47:09.8232940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 280 <- wrt source file
2025-08-26T19:47:09.8233650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-08-26T19:47:09.8234380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 388 <- wrt source file
2025-08-26T19:47:09.8235130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-08-26T19:47:09.8235850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 491 <- wrt source file
2025-08-26T19:47:09.8236550Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-08-26T19:47:09.8237250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 547 <- wrt source file
2025-08-26T19:47:09.8237960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-08-26T19:47:09.8238670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 608 <- wrt source file
2025-08-26T19:47:09.8239390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-08-26T19:47:09.8240150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 683 <- wrt source file
2025-08-26T19:47:09.8240870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-08-26T19:47:09.8246700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 773 <- wrt source file
2025-08-26T19:47:09.8247450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
2025-08-26T19:47:09.8248180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 971 <- wrt source file
2025-08-26T19:47:09.8248900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-08-26T19:47:09.8249640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1062 <- wrt source file
2025-08-26T19:47:09.8250400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
2025-08-26T19:47:09.8251150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1134 <- wrt source file
2025-08-26T19:47:09.8251940Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
2025-08-26T19:47:09.8252730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 1803 <- wrt source file
2025-08-26T19:47:09.8253580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-08-26T19:47:09.8254430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1819 <- wrt source file
2025-08-26T19:47:09.8255280Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-08-26T19:47:09.8256060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/swa_utils.py::update_bn:0, line 337 <- wrt source file
2025-08-26T19:47:09.8256770Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-08-26T19:47:09.8257550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 3418 <- wrt source file
2025-08-26T19:47:09.8258390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0
2025-08-26T19:47:09.8259190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 372 <- wrt source file
2025-08-26T19:47:09.8259980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_inductor/codecache.py::WritableTempFile:0
2025-08-26T19:47:09.8260800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1721 <- wrt source file
2025-08-26T19:47:09.8261700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0
2025-08-26T19:47:09.8262620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_inductor/template_registry.py::register_template_heuristic:0, line 45 <- wrt source file
2025-08-26T19:47:09.8263490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_inductor/template_registry.py::register_template_heuristic:0
2025-08-26T19:47:09.8264270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 303 <- wrt source file
2025-08-26T19:47:09.8265000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-08-26T19:47:09.8265720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_pytree.py::register_constant:0, line 419 <- wrt source file
2025-08-26T19:47:09.8266440Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_pytree.py::register_constant:0
2025-08-26T19:47:09.8267140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1026 <- wrt source file
2025-08-26T19:47:09.8267890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-08-26T19:47:09.8268570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0, line 1345 <- wrt source file
2025-08-26T19:47:09.8269250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0
2025-08-26T19:47:09.8269970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 547 <- wrt source file
2025-08-26T19:47:09.8270730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-08-26T19:47:09.8271500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 749 <- wrt source file
2025-08-26T19:47:09.8272300Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-08-26T19:47:09.8273110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 69 <- wrt source file
2025-08-26T19:47:09.8273950Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-08-26T19:47:09.8274830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 375 <- wrt source file
2025-08-26T19:47:09.8275730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-08-26T19:47:09.8276590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 410 <- wrt source file
2025-08-26T19:47:09.8277390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-08-26T19:47:09.8278140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file
2025-08-26T19:47:09.8278870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-08-26T19:47:09.8279620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 277 <- wrt source file
2025-08-26T19:47:09.8280360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-08-26T19:47:09.8281070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 320 <- wrt source file
2025-08-26T19:47:09.8281780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-08-26T19:47:09.8282490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 357 <- wrt source file
2025-08-26T19:47:09.8283210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-08-26T19:47:09.8283920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 387 <- wrt source file
2025-08-26T19:47:09.8284650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-08-26T19:47:09.8285350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 422 <- wrt source file
2025-08-26T19:47:09.8286050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-08-26T19:47:09.8286760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 457 <- wrt source file
2025-08-26T19:47:09.8287480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-08-26T19:47:09.8288200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 494 <- wrt source file
2025-08-26T19:47:09.8288890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-08-26T19:47:09.8289600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 893 <- wrt source file
2025-08-26T19:47:09.8290340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-08-26T19:47:09.8291130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 724 <- wrt source file
2025-08-26T19:47:09.8291990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-08-26T19:47:09.8292850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file
2025-08-26T19:47:09.8293670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-08-26T19:47:09.8294510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file
2025-08-26T19:47:09.8295420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-08-26T19:47:09.8296270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 216 <- wrt source file
2025-08-26T19:47:09.8297150Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-08-26T19:47:09.8297980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 314 <- wrt source file
2025-08-26T19:47:09.8298810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-08-26T19:47:09.8299680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 362 <- wrt source file
2025-08-26T19:47:09.8300530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-08-26T19:47:09.8301400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 394 <- wrt source file
2025-08-26T19:47:09.8302240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-08-26T19:47:09.8303070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 441 <- wrt source file
2025-08-26T19:47:09.8303960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-08-26T19:47:09.8304870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 480 <- wrt source file
2025-08-26T19:47:09.8305710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-08-26T19:47:09.8306570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 533 <- wrt source file
2025-08-26T19:47:09.8307450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-08-26T19:47:09.8308360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 599 <- wrt source file
2025-08-26T19:47:09.8309200Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-08-26T19:47:09.8310030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 648 <- wrt source file
2025-08-26T19:47:09.8310860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-08-26T19:47:09.8311680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 811 <- wrt source file
2025-08-26T19:47:09.8597030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-08-26T19:47:09.8597970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 878 <- wrt source file
2025-08-26T19:47:09.8598920Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-08-26T19:47:09.8599800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 989 <- wrt source file
2025-08-26T19:47:09.8600670Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-08-26T19:47:09.8601600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1063 <- wrt source file
2025-08-26T19:47:09.8602560Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-08-26T19:47:09.8603550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1084 <- wrt source file
2025-08-26T19:47:09.8604490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-08-26T19:47:09.8605390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1108 <- wrt source file
2025-08-26T19:47:09.8606260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-08-26T19:47:09.8607110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1154 <- wrt source file
2025-08-26T19:47:09.8607930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-08-26T19:47:09.8608720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-08-26T19:47:09.8609460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-08-26T19:47:09.8610200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 219 <- wrt source file
2025-08-26T19:47:09.8610930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-08-26T19:47:09.8611660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/dataset.py::random_split:0, line 441 <- wrt source file
2025-08-26T19:47:09.8612380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/dataset.py::random_split:0
2025-08-26T19:47:09.8613100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/sampler.py::Sampler:0, line 40 <- wrt source file
2025-08-26T19:47:09.8613800Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-08-26T19:47:09.8614640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file
2025-08-26T19:47:09.8615450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-08-26T19:47:09.8616220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file
2025-08-26T19:47:09.8616960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-08-26T19:47:09.8617710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 364 <- wrt source file
2025-08-26T19:47:09.8618490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-08-26T19:47:09.8619280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 268 <- wrt source file
2025-08-26T19:47:09.8620120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-08-26T19:47:09.8620960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file
2025-08-26T19:47:09.8621820Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-08-26T19:47:09.8622680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 201 <- wrt source file
2025-08-26T19:47:09.8623560Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-08-26T19:47:09.8624420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 53 <- wrt source file
2025-08-26T19:47:09.8625290Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-08-26T19:47:09.8626160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 113 <- wrt source file
2025-08-26T19:47:09.8627040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-08-26T19:47:09.8627920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file
2025-08-26T19:47:09.8628790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-08-26T19:47:09.8629650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file
2025-08-26T19:47:09.8630530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-08-26T19:47:09.8631450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 88 <- wrt source file
2025-08-26T19:47:09.8632320Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-08-26T19:47:09.8633240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 304 <- wrt source file
2025-08-26T19:47:09.8634110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-08-26T19:47:09.8634980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 30 <- wrt source file
2025-08-26T19:47:09.8635880Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-08-26T19:47:09.8636780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file
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2025-08-26T19:47:09.8823680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file
2025-08-26T19:47:09.8824600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-08-26T19:47:09.8825520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 25 <- wrt source file
2025-08-26T19:47:09.8826450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-08-26T19:47:09.8827330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file
2025-08-26T19:47:09.8828150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-08-26T19:47:09.8828990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file
2025-08-26T19:47:09.8829840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-08-26T19:47:09.8830690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 35 <- wrt source file
2025-08-26T19:47:09.8831550Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-08-26T19:47:09.8832430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file
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2025-08-26T19:47:09.8834440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file
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2025-08-26T19:47:09.8853790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-08-26T19:47:09.8854600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file
2025-08-26T19:47:09.8855450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-08-26T19:47:09.8856340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 331 <- wrt source file
2025-08-26T19:47:09.8857310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0
2025-08-26T19:47:09.8858250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file
2025-08-26T19:47:09.8859200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-08-26T19:47:09.8860040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 51 <- wrt source file
2025-08-26T19:47:09.8860770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-08-26T19:47:09.8861500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/custom_ops.py::custom_op:0, line 98 <- wrt source file
2025-08-26T19:47:09.8862230Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-08-26T19:47:09.8863030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 238 <- wrt source file
2025-08-26T19:47:09.8863850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-08-26T19:47:09.8864660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 307 <- wrt source file
2025-08-26T19:47:09.8865460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-08-26T19:47:09.8866260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 541 <- wrt source file
2025-08-26T19:47:09.8867070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-08-26T19:47:09.8867940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 709 <- wrt source file
2025-08-26T19:47:09.8868730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-08-26T19:47:09.8869570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 795 <- wrt source file
2025-08-26T19:47:09.8870380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-08-26T19:47:09.8871180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file
2025-08-26T19:47:09.8871970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-08-26T19:47:09.8872770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 230 <- wrt source file
2025-08-26T19:47:09.8873610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-08-26T19:47:09.8874360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
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2025-08-26T19:47:09.8875800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 36 <- wrt source file
2025-08-26T19:47:09.8876590Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
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2025-08-26T19:47:09.8879830Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-08-26T19:47:09.8880680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 214 <- wrt source file
2025-08-26T19:47:09.8881470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-08-26T19:47:09.8882270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 349 <- wrt source file
2025-08-26T19:47:09.8883060Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-08-26T19:47:09.8883900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 322 <- wrt source file
2025-08-26T19:47:09.8884810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-08-26T19:47:09.8885660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 211 <- wrt source file
2025-08-26T19:47:09.8886450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-08-26T19:47:09.8887220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 283 <- wrt source file
2025-08-26T19:47:09.8888000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-08-26T19:47:09.8888760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 359 <- wrt source file
2025-08-26T19:47:09.8889540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-08-26T19:47:09.8890310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file
2025-08-26T19:47:09.8891130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-08-26T19:47:09.8891910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file
2025-08-26T19:47:09.8892690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-08-26T19:47:09.8893500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file
2025-08-26T19:47:09.8894310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-08-26T19:47:09.8895110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file
2025-08-26T19:47:09.8895900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-08-26T19:47:09.8896690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 124 <- wrt source file
2025-08-26T19:47:09.8897490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-08-26T19:47:09.8898280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 209 <- wrt source file
2025-08-26T19:47:09.8899080Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-08-26T19:47:09.8899900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 296 <- wrt source file
2025-08-26T19:47:09.8900760Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
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2025-08-26T19:47:09.8902550Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
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2025-08-26T19:47:09.8904260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-08-26T19:47:09.8905070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 515 <- wrt source file
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2025-08-26T19:47:09.8907540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2025-08-26T19:47:09.8908330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1206 <- wrt source file
2025-08-26T19:47:09.8909130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-08-26T19:47:09.8909920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1273 <- wrt source file
2025-08-26T19:47:09.8910730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-08-26T19:47:09.8911530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1326 <- wrt source file
2025-08-26T19:47:09.8912330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-08-26T19:47:09.8913170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file
2025-08-26T19:47:09.8914050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-08-26T19:47:09.8914930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file
2025-08-26T19:47:09.8915780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-08-26T19:47:09.8916590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 138 <- wrt source file
2025-08-26T19:47:09.8917360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-08-26T19:47:09.8918200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file
2025-08-26T19:47:09.8919020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-08-26T19:47:09.8919840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 505 <- wrt source file
2025-08-26T19:47:09.8920610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-08-26T19:47:09.8921390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 635 <- wrt source file
2025-08-26T19:47:09.8928160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-08-26T19:47:09.8928980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 892 <- wrt source file
2025-08-26T19:47:09.8929790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-08-26T19:47:09.8930660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1014 <- wrt source file
2025-08-26T19:47:09.8931460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-08-26T19:47:09.8932260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1140 <- wrt source file
2025-08-26T19:47:09.8933060Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-08-26T19:47:09.8933870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file
2025-08-26T19:47:09.8934700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-08-26T19:47:09.8935520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file
2025-08-26T19:47:09.8936350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-08-26T19:47:09.8937160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 30 <- wrt source file
2025-08-26T19:47:09.8937930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-08-26T19:47:09.8938680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file
2025-08-26T19:47:09.8939430Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-08-26T19:47:09.8940220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 30 <- wrt source file
2025-08-26T19:47:09.8941230Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-08-26T19:47:09.8942120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file
2025-08-26T19:47:09.8943090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-08-26T19:47:09.8943980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file
2025-08-26T19:47:09.8944860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-08-26T19:47:09.8945750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file
2025-08-26T19:47:09.8946650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-08-26T19:47:09.8947580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file
2025-08-26T19:47:09.8948450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-08-26T19:47:09.8949280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file
2025-08-26T19:47:09.8950040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-08-26T19:47:09.8950810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file
2025-08-26T19:47:09.8951610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-08-26T19:47:09.8952390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 176 <- wrt source file
2025-08-26T19:47:09.8953180Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-08-26T19:47:09.8953960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 172 <- wrt source file
2025-08-26T19:47:09.8954740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-08-26T19:47:09.8955530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 544 <- wrt source file
2025-08-26T19:47:09.8956310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-08-26T19:47:09.8957080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 566 <- wrt source file
2025-08-26T19:47:09.8957860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-08-26T19:47:09.8958690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 580 <- wrt source file
2025-08-26T19:47:09.8959490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-08-26T19:47:09.8960260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 602 <- wrt source file
2025-08-26T19:47:09.8961020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-08-26T19:47:09.8961810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 729 <- wrt source file
2025-08-26T19:47:09.8962600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-08-26T19:47:09.8963430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 31 <- wrt source file
2025-08-26T19:47:09.8964290Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-08-26T19:47:09.8965120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 76 <- wrt source file
2025-08-26T19:47:09.8965990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-08-26T19:47:09.8966860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 130 <- wrt source file
2025-08-26T19:47:09.8967700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-08-26T19:47:09.8968570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 163 <- wrt source file
2025-08-26T19:47:09.8969440Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-08-26T19:47:09.8970280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file
2025-08-26T19:47:09.8972480Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-08-26T19:47:09.8974900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file
2025-08-26T19:47:09.8977260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-08-26T19:47:09.8979580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file
2025-08-26T19:47:09.8981830Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-08-26T19:47:09.8984460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file
2025-08-26T19:47:09.8986630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-08-26T19:47:09.8988940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file
2025-08-26T19:47:09.8991140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-08-26T19:47:09.8993370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file
2025-08-26T19:47:09.8995460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-08-26T19:47:09.8996290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file
2025-08-26T19:47:09.8997070Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-08-26T19:47:09.8997950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file
2025-08-26T19:47:09.8998780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-08-26T19:47:09.8999640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file
2025-08-26T19:47:09.9000530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-08-26T19:47:09.9001430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file
2025-08-26T19:47:09.9002330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0
2025-08-26T19:47:09.9003280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 436 <- wrt source file
2025-08-26T19:47:09.9004220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-08-26T19:47:09.9005150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 102 <- wrt source file
2025-08-26T19:47:09.9007230Z Running inductor/test_max_autotune 1/1 ... [2025-08-26 19:47:09.900184]
2025-08-26T19:47:09.9007520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:47:09.9008310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_max_autotune.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:47:09.900434]
2025-08-26T19:47:09.9009430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-08-26T19:47:09.9010490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 148 <- wrt source file
2025-08-26T19:47:09.9011500Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-08-26T19:47:09.9012410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 188 <- wrt source file
2025-08-26T19:47:09.9013370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0
2025-08-26T19:47:09.9014340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file
2025-08-26T19:47:09.9015290Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-08-26T19:47:09.9016320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file
2025-08-26T19:47:09.9017440Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-08-26T19:47:09.9018450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file
2025-08-26T19:47:09.9019320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-08-26T19:47:09.9020210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 295 <- wrt source file
2025-08-26T19:47:09.9021110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-08-26T19:47:09.9021920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/profiler/profiler.py::profile:0, line 617 <- wrt source file
2025-08-26T19:47:09.9022630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/profiler/profiler.py::profile:0
2025-08-26T19:47:09.9023390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 339 <- wrt source file
2025-08-26T19:47:09.9024210Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-08-26T19:47:09.9024980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 103 <- wrt source file
2025-08-26T19:47:09.9025680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::Dim:0
2025-08-26T19:47:09.9026410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 715 <- wrt source file
2025-08-26T19:47:09.9027170Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-08-26T19:47:09.9028010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 731 <- wrt source file
2025-08-26T19:47:09.9028780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1
2025-08-26T19:47:09.9029590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 815 <- wrt source file
2025-08-26T19:47:09.9030350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-08-26T19:47:09.9031120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-08-26T19:47:09.9031890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-08-26T19:47:09.9032650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-08-26T19:47:09.9033360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/laplace.py::Laplace:0
2025-08-26T19:47:09.9034150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-08-26T19:47:09.9034910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0
2025-08-26T19:47:09.9035690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1065 <- wrt source file
2025-08-26T19:47:09.9036470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-08-26T19:47:09.9037250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1177 <- wrt source file
2025-08-26T19:47:09.9038030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-08-26T19:47:09.9038880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1253 <- wrt source file
2025-08-26T19:47:09.9039770Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-08-26T19:47:09.9040600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 42 <- wrt source file
2025-08-26T19:47:09.9041340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-08-26T19:47:09.9042090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-08-26T19:47:09.9042840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-08-26T19:47:09.9043600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-08-26T19:47:09.9044430Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/geometric.py::Geometric:0
2025-08-26T19:47:09.9045340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-08-26T19:47:09.9046290Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-08-26T19:47:09.9047130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-08-26T19:47:09.9047910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/weibull.py::Weibull:0
2025-08-26T19:47:09.9048700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-08-26T19:47:09.9049510Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/studentT.py::StudentT:0
2025-08-26T19:47:09.9050370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-08-26T19:47:09.9051320Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-08-26T19:47:09.9052200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-08-26T19:47:09.9052970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/normal.py::Normal:0
2025-08-26T19:47:09.9053780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-08-26T19:47:09.9054600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/poisson.py::Poisson:0
2025-08-26T19:47:09.9055380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-08-26T19:47:09.9056130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0
2025-08-26T19:47:09.9056920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-08-26T19:47:09.9057780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-08-26T19:47:09.9058610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-08-26T19:47:09.9059410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-08-26T19:47:09.9060230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-08-26T19:47:09.9061050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-08-26T19:47:09.9061870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-08-26T19:47:09.9062690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-08-26T19:47:09.9063590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-08-26T19:47:09.9064400Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/independent.py::Independent:0
2025-08-26T19:47:09.9065170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-08-26T19:47:09.9065950Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-08-26T19:47:09.9066730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-08-26T19:47:09.9067560Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/exponential.py::Exponential:0
2025-08-26T19:47:09.9068310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-08-26T19:47:09.9069060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/pareto.py::Pareto:0
2025-08-26T19:47:09.9069800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-08-26T19:47:09.9070530Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-08-26T19:47:09.9071270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/von_mises.py::VonMises:0, line 117 <- wrt source file
2025-08-26T19:47:09.9072040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-08-26T19:47:09.9072840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-08-26T19:47:09.9073630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-08-26T19:47:09.9074440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-08-26T19:47:09.9075240Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-08-26T19:47:09.9076110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-08-26T19:47:09.9077020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-08-26T19:47:09.9077890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-08-26T19:47:09.9078740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-08-26T19:47:09.9094060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/constraints.py::is_dependent:0, line 166 <- wrt source file
2025-08-26T19:47:09.9094960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-08-26T19:47:09.9095760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 187 <- wrt source file
2025-08-26T19:47:09.9096600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-08-26T19:47:09.9097380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-08-26T19:47:09.9098100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/uniform.py::Uniform:0
2025-08-26T19:47:09.9098830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-08-26T19:47:09.9099570Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-08-26T19:47:09.9100350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-08-26T19:47:09.9101180Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-08-26T19:47:09.9102000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file
2025-08-26T19:47:09.9102840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-08-26T19:47:09.9103680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-08-26T19:47:09.9104470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/wishart.py::Wishart:0
2025-08-26T19:47:09.9105260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-08-26T19:47:09.9106030Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/gamma.py::Gamma:0
2025-08-26T19:47:09.9106780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-08-26T19:47:09.9107500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/chi2.py::Chi2:0
2025-08-26T19:47:09.9108230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-08-26T19:47:09.9108980Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0
2025-08-26T19:47:09.9109710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-08-26T19:47:09.9110420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-08-26T19:47:09.9111010Z ============
2025-08-26T19:47:09.9111190Z Finished doctests
2025-08-26T19:47:09.9111340Z 338 / 731 passed
2025-08-26T19:47:09.9111470Z 
2025-08-26T19:47:09.9111650Z === Found 146 parse-time warnings ===
2025-08-26T19:47:09.9112000Z --- Parse Warning: 1 / 146 ---
2025-08-26T19:47:09.9112790Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Library.fallback in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py line=375.
2025-08-26T19:47:09.9113690Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:09.9114050Z     Registers the function implementation as the fallback for the given key.
2025-08-26T19:47:09.9114310Z     
2025-08-26T19:47:09.9114510Z             This function only works for a library with global namespace ("_").
2025-08-26T19:47:09.9114750Z     
2025-08-26T19:47:09.9114850Z             Args:
2025-08-26T19:47:09.9115110Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-08-26T19:47:09.9115410Z                     to register a fallthrough.
2025-08-26T19:47:09.9115750Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-08-26T19:47:09.9116120Z                               the dispatch key that the library was created with.
2025-08-26T19:47:09.9116510Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-08-26T19:47:09.9117050Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-08-26T19:47:09.9117350Z     
2025-08-26T19:47:09.9117460Z             Example::
2025-08-26T19:47:09.9117600Z     
2025-08-26T19:47:09.9117730Z                 >>> my_lib = Library("_", "IMPL")
2025-08-26T19:47:09.9117950Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-08-26T19:47:09.9118180Z                 >>>     # Handle all autocast ops generically
2025-08-26T19:47:09.9118380Z                 >>>     # ...
2025-08-26T19:47:09.9118580Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-08-26T19:47:09.9118770Z             
2025-08-26T19:47:09.9119210Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-08-26T19:47:09.9119680Z     
2025-08-26T19:47:09.9119820Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-08-26T19:47:09.9120010Z     ^
2025-08-26T19:47:09.9120120Z       warnings.warn(msg)
2025-08-26T19:47:09.9120260Z     
2025-08-26T19:47:09.9120420Z --- Parse Warning: 2 / 146 ---
2025-08-26T19:47:09.9121190Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py line=948.
2025-08-26T19:47:09.9122010Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:09.9122370Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-08-26T19:47:09.9122610Z     
2025-08-26T19:47:09.9122780Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-08-26T19:47:09.9123000Z     
2025-08-26T19:47:09.9123210Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-08-26T19:47:09.9123560Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-08-26T19:47:09.9123900Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-08-26T19:47:09.9124200Z         what the properties of the output Tensors are.
2025-08-26T19:47:09.9124420Z     
2025-08-26T19:47:09.9124620Z         The FakeTensor implementation has the same signature as the operator.
2025-08-26T19:47:09.9124950Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-08-26T19:47:09.9125280Z         implementation, assume that all Tensor inputs to the operator are
2025-08-26T19:47:09.9125660Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-08-26T19:47:09.9125970Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-08-26T19:47:09.9126330Z         The FakeTensor implementation must consist of only PyTorch operations
2025-08-26T19:47:09.9126660Z         (and may not directly access the storage or data of any input or
2025-08-26T19:47:09.9126900Z         intermediate Tensors).
2025-08-26T19:47:09.9127050Z     
2025-08-26T19:47:09.9127200Z         This API may be used as a decorator (see examples).
2025-08-26T19:47:09.9127400Z     
2025-08-26T19:47:09.9127550Z         For a detailed guide on custom ops, please see
2025-08-26T19:47:09.9127860Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-08-26T19:47:09.9128100Z     
2025-08-26T19:47:09.9128200Z         Args:
2025-08-26T19:47:09.9128420Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-08-26T19:47:09.9128690Z             func: Fake tensor implementation.
2025-08-26T19:47:09.9128950Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-08-26T19:47:09.9129260Z             allow_override: Flag controlling if we want to override an
2025-08-26T19:47:09.9129550Z                             existing registered fake impl. This is by default off,
2025-08-26T19:47:09.9129880Z                             and will error you're trying to register a fake impl to
2025-08-26T19:47:09.9130170Z                             an operator that already has a fake impl. This also only
2025-08-26T19:47:09.9130450Z                             applies if the custom operator was not created via
2025-08-26T19:47:09.9130740Z                             torch.library.custom_op, as overriding and existing fake
2025-08-26T19:47:09.9131000Z                             impl is already allowed.
2025-08-26T19:47:09.9131180Z     
2025-08-26T19:47:09.9131280Z         Examples:
2025-08-26T19:47:09.9131420Z             >>> import torch
2025-08-26T19:47:09.9131580Z             >>> import numpy as np
2025-08-26T19:47:09.9131760Z             >>> from torch import Tensor
2025-08-26T19:47:09.9131930Z             >>>
2025-08-26T19:47:09.9132130Z             >>> # Example 1: an operator without data-dependent output shape
2025-08-26T19:47:09.9132440Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-08-26T19:47:09.9132780Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-26T19:47:09.9133090Z             >>>     raise NotImplementedError("Implementation goes here")
2025-08-26T19:47:09.9133330Z             >>>
2025-08-26T19:47:09.9133530Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-08-26T19:47:09.9133750Z             >>> def _(x, weight, bias):
2025-08-26T19:47:09.9133940Z             >>>     assert x.dim() == 2
2025-08-26T19:47:09.9134130Z             >>>     assert weight.dim() == 2
2025-08-26T19:47:09.9134340Z             >>>     assert bias.dim() == 1
2025-08-26T19:47:09.9134540Z             >>>     assert x.shape[1] == weight.shape[1]
2025-08-26T19:47:09.9134770Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-08-26T19:47:09.9135000Z             >>>     assert x.device == weight.device
2025-08-26T19:47:09.9135190Z             >>>
2025-08-26T19:47:09.9135340Z             >>>     return (x @ weight.t()) + bias
2025-08-26T19:47:09.9135530Z             >>>
2025-08-26T19:47:09.9135710Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-08-26T19:47:09.9135960Z             >>>     x = torch.randn(2, 3)
2025-08-26T19:47:09.9136160Z             >>>     w = torch.randn(3, 3)
2025-08-26T19:47:09.9136350Z             >>>     b = torch.randn(3)
2025-08-26T19:47:09.9136560Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-08-26T19:47:09.9136750Z             >>>
2025-08-26T19:47:09.9136890Z             >>> assert y.shape == (2, 3)
2025-08-26T19:47:09.9137060Z             >>>
2025-08-26T19:47:09.9137290Z             >>> # Example 2: an operator with data-dependent output shape
2025-08-26T19:47:09.9137610Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-08-26T19:47:09.9137910Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-08-26T19:47:09.9138130Z             >>>     x_np = x.numpy(force=True)
2025-08-26T19:47:09.9138340Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-26T19:47:09.9138580Z             >>>     return torch.tensor(res, device=x.device)
2025-08-26T19:47:09.9138770Z             >>>
2025-08-26T19:47:09.9138960Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-08-26T19:47:09.9139180Z             >>> def _(x):
2025-08-26T19:47:09.9139370Z             >>> # Number of nonzero-elements is data-dependent.
2025-08-26T19:47:09.9139630Z             >>> # Since we cannot peek at the data in an fake impl,
2025-08-26T19:47:09.9139900Z             >>> # we use the ctx object to construct a new symint that
2025-08-26T19:47:09.9140140Z             >>> # represents the data-dependent size.
2025-08-26T19:47:09.9140360Z             >>>     ctx = torch.library.get_ctx()
2025-08-26T19:47:09.9140570Z             >>>     nnz = ctx.new_dynamic_size()
2025-08-26T19:47:09.9140770Z             >>>     shape = [nnz, x.dim()]
2025-08-26T19:47:09.9141020Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-26T19:47:09.9141230Z             >>>     return result
2025-08-26T19:47:09.9141390Z             >>>
2025-08-26T19:47:09.9141580Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-08-26T19:47:09.9141800Z             >>>
2025-08-26T19:47:09.9141950Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-08-26T19:47:09.9142230Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-08-26T19:47:09.9142520Z             >>> trace.print_readable()
2025-08-26T19:47:09.9142690Z             >>>
2025-08-26T19:47:09.9142910Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-08-26T19:47:09.9143160Z     
2025-08-26T19:47:09.9143260Z         
2025-08-26T19:47:09.9143640Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-08-26T19:47:09.9144060Z     
2025-08-26T19:47:09.9144110Z     _._ = None
2025-08-26T19:47:09.9144150Z     ^
2025-08-26T19:47:09.9144200Z       warnings.warn(msg)
2025-08-26T19:47:09.9144240Z     
2025-08-26T19:47:09.9144350Z --- Parse Warning: 3 / 146 ---
2025-08-26T19:47:09.9145000Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_autograd in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py line=1083.
2025-08-26T19:47:09.9145170Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9145260Z     Register a backward formula for this custom op.
2025-08-26T19:47:09.9145300Z     
2025-08-26T19:47:09.9145430Z         In order for an operator to work with autograd, you need to register
2025-08-26T19:47:09.9145480Z         a backward formula:
2025-08-26T19:47:09.9145610Z         1. You must tell us how to compute gradients during the backward pass
2025-08-26T19:47:09.9145690Z         by providing us a "backward" function.
2025-08-26T19:47:09.9145810Z         2. If you need any values from the forward to compute gradients, you can
2025-08-26T19:47:09.9145910Z         use `setup_context` to save values for backward.
2025-08-26T19:47:09.9145950Z     
2025-08-26T19:47:09.9146090Z         ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``:
2025-08-26T19:47:09.9146210Z         - ``grads`` is one or more gradients. The number of gradients matches
2025-08-26T19:47:09.9146290Z         the number of outputs of the operator.
2025-08-26T19:47:09.9146470Z         The ``ctx`` object is `the same ctx object <context_method_mixins>`_ used by
2025-08-26T19:47:09.9146630Z         :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the
2025-08-26T19:47:09.9146750Z         same as :meth:`torch.autograd.Function.backward`.
2025-08-26T19:47:09.9146800Z     
2025-08-26T19:47:09.9146930Z         ``setup_context(ctx, inputs, output)`` runs during the forward pass.
2025-08-26T19:47:09.9147070Z         Please save quantities needed for backward onto the ``ctx`` object via
2025-08-26T19:47:09.9147210Z         either :meth:`torch.autograd.function.FunctionCtx.save_for_backward`
2025-08-26T19:47:09.9147340Z         or assigning them as attributes of ``ctx``. If your custom op has
2025-08-26T19:47:09.9147460Z         kwarg-only arguments, we expect the signature of ``setup_context``
2025-08-26T19:47:09.9147580Z         to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``.
2025-08-26T19:47:09.9147620Z     
2025-08-26T19:47:09.9147760Z         Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is,
2025-08-26T19:47:09.9147900Z         they may not directly access :meth:`torch.Tensor.data_ptr` and they must
2025-08-26T19:47:09.9148050Z         not depend on or mutate global state. If you need a non-traceable backward,
2025-08-26T19:47:09.9148210Z         you can make it a separate custom_op that you call inside ``backward_fn``.
2025-08-26T19:47:09.9148250Z     
2025-08-26T19:47:09.9148390Z         If you need different autograd behavior on different devices, then we
2025-08-26T19:47:09.9148530Z         recommend creating two different custom operators, one for each device
2025-08-26T19:47:09.9148660Z         that needs different behavior, and switching between them at runtime.
2025-08-26T19:47:09.9148700Z     
2025-08-26T19:47:09.9148750Z         Examples:
2025-08-26T19:47:09.9148800Z             >>> import torch
2025-08-26T19:47:09.9148860Z             >>> import numpy as np
2025-08-26T19:47:09.9148930Z             >>> from torch import Tensor
2025-08-26T19:47:09.9148970Z             >>>
2025-08-26T19:47:09.9149100Z             >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=())
2025-08-26T19:47:09.9149180Z             >>> def numpy_sin(x: Tensor) -> Tensor:
2025-08-26T19:47:09.9149240Z             >>>     x_np = x.cpu().numpy()
2025-08-26T19:47:09.9149300Z             >>>     y_np = np.sin(x_np)
2025-08-26T19:47:09.9149410Z             >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-08-26T19:47:09.9149450Z             >>>
2025-08-26T19:47:09.9149550Z             >>> def setup_context(ctx, inputs, output) -> Tensor:
2025-08-26T19:47:09.9149600Z             >>>     x, = inputs
2025-08-26T19:47:09.9149670Z             >>>     ctx.save_for_backward(x)
2025-08-26T19:47:09.9149710Z             >>>
2025-08-26T19:47:09.9149770Z             >>> def backward(ctx, grad):
2025-08-26T19:47:09.9149830Z             >>>     x, = ctx.saved_tensors
2025-08-26T19:47:09.9149890Z             >>>     return grad * x.cos()
2025-08-26T19:47:09.9149930Z             >>>
2025-08-26T19:47:09.9150000Z             >>> torch.library.register_autograd(
2025-08-26T19:47:09.9150120Z             ...     "mylib::numpy_sin", backward, setup_context=setup_context
2025-08-26T19:47:09.9150160Z             ... )
2025-08-26T19:47:09.9150220Z             >>>
2025-08-26T19:47:09.9150290Z             >>> x = torch.randn(3, requires_grad=True)
2025-08-26T19:47:09.9150350Z             >>> y = numpy_sin(x)
2025-08-26T19:47:09.9150460Z             >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-08-26T19:47:09.9150540Z             >>> assert torch.allclose(grad_x, x.cos())
2025-08-26T19:47:09.9150590Z             >>>
2025-08-26T19:47:09.9150660Z             >>> # Example with a keyword-only arg
2025-08-26T19:47:09.9150780Z             >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-08-26T19:47:09.9150880Z             >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor:
2025-08-26T19:47:09.9151030Z             >>>     x_np = x.cpu().numpy()
2025-08-26T19:47:09.9151090Z             >>>     y_np = x_np * val
2025-08-26T19:47:09.9151190Z             >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-08-26T19:47:09.9151270Z             >>>
2025-08-26T19:47:09.9151410Z             >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor:
2025-08-26T19:47:09.9151490Z             >>>     ctx.val = keyword_only_inputs["val"]
2025-08-26T19:47:09.9151540Z             >>>
2025-08-26T19:47:09.9151590Z             >>> def backward(ctx, grad):
2025-08-26T19:47:09.9151650Z             >>>     return grad * ctx.val
2025-08-26T19:47:09.9151690Z             >>>
2025-08-26T19:47:09.9151770Z             >>> torch.library.register_autograd(
2025-08-26T19:47:09.9151880Z             ...     "mylib::numpy_mul", backward, setup_context=setup_context
2025-08-26T19:47:09.9151920Z             ... )
2025-08-26T19:47:09.9151970Z             >>>
2025-08-26T19:47:09.9152050Z             >>> x = torch.randn(3, requires_grad=True)
2025-08-26T19:47:09.9152110Z             >>> y = numpy_mul(x, val=3.14)
2025-08-26T19:47:09.9152220Z             >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-08-26T19:47:09.9152340Z             >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14))
2025-08-26T19:47:09.9152420Z     
2025-08-26T19:47:09.9152470Z         
2025-08-26T19:47:09.9152620Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9152660Z     
2025-08-26T19:47:09.9152720Z       warnings.warn(msg)
2025-08-26T19:47:09.9152760Z     
2025-08-26T19:47:09.9152860Z --- Parse Warning: 4 / 146 ---
2025-08-26T19:47:09.9153500Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_kernel in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py line=1482.
2025-08-26T19:47:09.9153650Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:09.9153780Z     Returns the computed kernel for a given operator and dispatch key.
2025-08-26T19:47:09.9153820Z     
2025-08-26T19:47:09.9153960Z         This function retrieves the kernel that would be executed for a given
2025-08-26T19:47:09.9154100Z         operator and dispatch key combination. The returned SafeKernelFunction
2025-08-26T19:47:09.9154220Z         can be used to call the kernel in a boxed fashion. The intended use
2025-08-26T19:47:09.9154340Z         case for this function is to retrieve the original kernel for a given
2025-08-26T19:47:09.9154480Z         dispatch key and then register another kernel to the same dispatch key
2025-08-26T19:47:09.9154570Z         that calls into the original kernel for certain cases.
2025-08-26T19:47:09.9154610Z     
2025-08-26T19:47:09.9154660Z         Args:
2025-08-26T19:47:09.9154780Z             op: Operator name (along with the overload) or OpOverload object
2025-08-26T19:47:09.9154920Z                 Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-08-26T19:47:09.9155090Z             dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-08-26T19:47:09.9155210Z                 Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-08-26T19:47:09.9155250Z     
2025-08-26T19:47:09.9155350Z         Returns:
2025-08-26T19:47:09.9155520Z             torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-08-26T19:47:09.9155570Z                 call the kernel.
2025-08-26T19:47:09.9155630Z     
2025-08-26T19:47:09.9155700Z         Raises:
2025-08-26T19:47:09.9155790Z             RuntimeError: If the operator does not exist.
2025-08-26T19:47:09.9155850Z     
2025-08-26T19:47:09.9155910Z         Example:
2025-08-26T19:47:09.9156010Z             >>> # Get the CPU kernel for torch.add
2025-08-26T19:47:09.9156200Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-08-26T19:47:09.9156270Z             >>>
2025-08-26T19:47:09.9156370Z             >>> # You can also use DispatchKey enum
2025-08-26T19:47:09.9156600Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-08-26T19:47:09.9156670Z             >>>
2025-08-26T19:47:09.9156760Z             >>> # Or use an OpOverload directly
2025-08-26T19:47:09.9156930Z             >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-08-26T19:47:09.9156970Z             >>>
2025-08-26T19:47:09.9157160Z             >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-08-26T19:47:09.9157260Z             >>> # Get the original kernel for torch.sin
2025-08-26T19:47:09.9157420Z             >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-08-26T19:47:09.9157470Z             >>>
2025-08-26T19:47:09.9157630Z             >>> # If input has negative values, use original sin, otherwise return zeros
2025-08-26T19:47:09.9157740Z             >>> def conditional_sin_impl(dispatch_keys, x):
2025-08-26T19:47:09.9157820Z             >>>     if (x < 0).any():
2025-08-26T19:47:09.9157930Z             >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-08-26T19:47:09.9158010Z             >>>     else:
2025-08-26T19:47:09.9158130Z             >>>         return torch.zeros_like(x)
2025-08-26T19:47:09.9158190Z             >>>
2025-08-26T19:47:09.9158280Z             >>> lib = torch.library.Library("aten", "IMPL")
2025-08-26T19:47:09.9158460Z             >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-08-26T19:47:09.9158600Z             >>> which needs to be the first argument to ``kernel.call_boxed``
2025-08-26T19:47:09.9158740Z             >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-08-26T19:47:09.9158790Z             >>>
2025-08-26T19:47:09.9158880Z             >>> # Test the conditional behavior
2025-08-26T19:47:09.9158980Z             >>> x_positive = torch.tensor([1.0, 2.0])
2025-08-26T19:47:09.9159060Z             >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-08-26T19:47:09.9159140Z             >>> torch.sin(x_positive)
2025-08-26T19:47:09.9159210Z             tensor([0., 0.])
2025-08-26T19:47:09.9159320Z             >>> torch.sin(x_mixed)
2025-08-26T19:47:09.9159370Z             tensor([-0.8415, 0.9093])
2025-08-26T19:47:09.9159440Z         
2025-08-26T19:47:09.9159750Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-08-26T19:47:09.9159820Z     
2025-08-26T19:47:09.9159930Z     which needs to be the first argument to ``kernel.call_boxed``
2025-08-26T19:47:09.9160000Z           ^
2025-08-26T19:47:09.9160070Z       warnings.warn(msg)
2025-08-26T19:47:09.9160140Z     
2025-08-26T19:47:09.9160250Z --- Parse Warning: 5 / 146 ---
2025-08-26T19:47:09.9160900Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=opcheck in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py line=1571.
2025-08-26T19:47:09.9161090Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9161240Z     Given an operator and some sample arguments, tests if the operator is
2025-08-26T19:47:09.9161300Z         registered correctly.
2025-08-26T19:47:09.9161370Z     
2025-08-26T19:47:09.9161520Z         That is, when you use the torch.library/TORCH_LIBRARY APIs to create a
2025-08-26T19:47:09.9161670Z         custom op, you specified metadata (e.g. mutability info) about the custom op
2025-08-26T19:47:09.9161840Z         and these APIs require that the functions you pass them satisfy certain
2025-08-26T19:47:09.9162000Z         properties (e.g. no data pointer access in the fake/meta/abstract kernel)
2025-08-26T19:47:09.9162180Z         ``opcheck`` tests these metadata and properties.
2025-08-26T19:47:09.9162230Z     
2025-08-26T19:47:09.9162320Z         Concretely, we test the following:
2025-08-26T19:47:09.9162420Z     
2025-08-26T19:47:09.9162600Z         - test_schema: If the schema matches the implementation of
2025-08-26T19:47:09.9162740Z           the operator. For example: if the schema specifies a Tensor is mutated,
2025-08-26T19:47:09.9162900Z           then we check the implementation mutates the Tensor. If the schema
2025-08-26T19:47:09.9163040Z           specifies that we return a new Tensor, then we check that the
2025-08-26T19:47:09.9163190Z           implementation returns a new Tensor (instead of an existing one or
2025-08-26T19:47:09.9163250Z           a view of an existing one).
2025-08-26T19:47:09.9163400Z         - test_autograd_registration: If the operator supports training
2025-08-26T19:47:09.9163550Z           (autograd): we check that its autograd formula is registered via
2025-08-26T19:47:09.9163680Z           torch.library.register_autograd or a manual registration to one
2025-08-26T19:47:09.9163830Z           or more DispatchKey::Autograd keys. Any other DispatchKey-based
2025-08-26T19:47:09.9163940Z           registrations may lead to undefined behavior.
2025-08-26T19:47:09.9164080Z         - test_faketensor: If the operator has a FakeTensor kernel
2025-08-26T19:47:09.9164340Z           (and if it is correct). The FakeTensor kernel is necessary (
2025-08-26T19:47:09.9164520Z           but not sufficient) for the operator to work with PyTorch compilation
2025-08-26T19:47:09.9164670Z           APIs (torch.compile/export/FX). We check that a FakeTensor kernel
2025-08-26T19:47:09.9164820Z           (also sometimes known as a meta kernel) was registered for the
2025-08-26T19:47:09.9164930Z           operator and that it is correct. This test takes the result of
2025-08-26T19:47:09.9165070Z           running the operator on real tensors and the result of running
2025-08-26T19:47:09.9165220Z           the operator on FakeTensors and checks that they have the same
2025-08-26T19:47:09.9165330Z           Tensor metadata (sizes/strides/dtype/device/etc).
2025-08-26T19:47:09.9165450Z         - test_aot_dispatch_dynamic: If the operator has correct behavior
2025-08-26T19:47:09.9165640Z           with PyTorch compilation APIs (torch.compile/export/FX).
2025-08-26T19:47:09.9165770Z           This checks that the outputs (and gradients, if applicable) are the
2025-08-26T19:47:09.9165870Z           same under eager-mode PyTorch and torch.compile.
2025-08-26T19:47:09.9166010Z           This test is a superset of ``test_faketensor`` and is an e2e test;
2025-08-26T19:47:09.9166130Z           other things it tests are that the operator supports
2025-08-26T19:47:09.9166260Z           functionalization and that the backward pass (if it exists) also
2025-08-26T19:47:09.9166370Z           supports FakeTensor and functionalization.
2025-08-26T19:47:09.9166430Z     
2025-08-26T19:47:09.9166550Z         For best results, please call ``opcheck`` multiple times with a
2025-08-26T19:47:09.9166690Z         representative set of inputs. If your operator supports
2025-08-26T19:47:09.9166860Z         autograd, please use ``opcheck`` with inputs with ``requires_grad = True``;
2025-08-26T19:47:09.9167020Z         if your operator supports multiple devices (e.g. CPU and CUDA), please
2025-08-26T19:47:09.9167120Z         use ``opcheck`` with inputs on all supported devices.
2025-08-26T19:47:09.9167190Z     
2025-08-26T19:47:09.9167260Z         Args:
2025-08-26T19:47:09.9167390Z             op: The operator. Must either be a function decorated with
2025-08-26T19:47:09.9167520Z                 :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket
2025-08-26T19:47:09.9167680Z                 found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo)
2025-08-26T19:47:09.9167770Z             args: The args to the operator
2025-08-26T19:47:09.9167860Z             kwargs: The kwargs to the operator
2025-08-26T19:47:09.9168020Z             test_utils: Tests that we should run. Default: all of them.
2025-08-26T19:47:09.9168160Z                 Example: ("test_schema", "test_faketensor")
2025-08-26T19:47:09.9174130Z             raise_exception: If we should raise an exception on the first
2025-08-26T19:47:09.9174370Z                 error. If False, we will return a dict with information
2025-08-26T19:47:09.9174440Z                 on if each test passed or not.
2025-08-26T19:47:09.9174590Z             rtol (Optional[float]): Relative tolerance for floating point comparisons.
2025-08-26T19:47:09.9174680Z                 If specified ``atol`` must also be specified.
2025-08-26T19:47:09.9174790Z                 If omitted, default values based on the ``dtype`` are selected
2025-08-26T19:47:09.9174900Z                 (see the table in :func:`torch.testing.assert_close`).
2025-08-26T19:47:09.9175050Z             atol (Optional[float]): Absolute tolerance for floating point comparisons.
2025-08-26T19:47:09.9175140Z                 If specified ``rtol`` must also be specified.
2025-08-26T19:47:09.9175260Z                 If omitted, default values based on the ``dtype`` are selected
2025-08-26T19:47:09.9175360Z                 (see the table in :func:`torch.testing.assert_close`).
2025-08-26T19:47:09.9175410Z     
2025-08-26T19:47:09.9175460Z         .. warning::
2025-08-26T19:47:09.9175530Z     
2025-08-26T19:47:09.9175670Z             opcheck and :func:`torch.autograd.gradcheck` test different things;
2025-08-26T19:47:09.9175800Z             opcheck tests if your usage of torch.library APIs is correct while
2025-08-26T19:47:09.9175930Z             :func:`torch.autograd.gradcheck` tests if your autograd formula is
2025-08-26T19:47:09.9176060Z             mathematically correct. Use both to test custom ops that support
2025-08-26T19:47:09.9176120Z             gradient computation.
2025-08-26T19:47:09.9176160Z     
2025-08-26T19:47:09.9176210Z         Example:
2025-08-26T19:47:09.9176250Z     
2025-08-26T19:47:09.9176330Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-26T19:47:09.9176460Z             >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-08-26T19:47:09.9176550Z             >>> def numpy_mul(x: Tensor, y: float) -> Tensor:
2025-08-26T19:47:09.9176620Z             >>>     x_np = x.numpy(force=True)
2025-08-26T19:47:09.9176680Z             >>>     z_np = x_np * y
2025-08-26T19:47:09.9176760Z             >>>     return torch.from_numpy(z_np).to(x.device)
2025-08-26T19:47:09.9176810Z             >>>
2025-08-26T19:47:09.9176860Z             >>> @numpy_mul.register_fake
2025-08-26T19:47:09.9176920Z             >>> def _(x, y):
2025-08-26T19:47:09.9176980Z             >>>     return torch.empty_like(x)
2025-08-26T19:47:09.9177030Z             >>>
2025-08-26T19:47:09.9177110Z             >>> def setup_context(ctx, inputs, output):
2025-08-26T19:47:09.9177160Z             >>>     y, = inputs
2025-08-26T19:47:09.9177210Z             >>>     ctx.y = y
2025-08-26T19:47:09.9177250Z             >>>
2025-08-26T19:47:09.9177310Z             >>> def backward(ctx, grad):
2025-08-26T19:47:09.9177380Z             >>>     return grad * ctx.y, None
2025-08-26T19:47:09.9177420Z             >>>
2025-08-26T19:47:09.9177560Z             >>> numpy_mul.register_autograd(backward, setup_context=setup_context)
2025-08-26T19:47:09.9177600Z             >>>
2025-08-26T19:47:09.9177660Z             >>> sample_inputs = [
2025-08-26T19:47:09.9177720Z             >>>     (torch.randn(3), 3.14),
2025-08-26T19:47:09.9177810Z             >>>     (torch.randn(2, 3, device='cuda'), 2.718),
2025-08-26T19:47:09.9177900Z             >>>     (torch.randn(1, 10, requires_grad=True), 1.234),
2025-08-26T19:47:09.9178020Z             >>>     (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18),
2025-08-26T19:47:09.9178060Z             >>> ]
2025-08-26T19:47:09.9178100Z             >>>
2025-08-26T19:47:09.9178170Z             >>> for args in sample_inputs:
2025-08-26T19:47:09.9178250Z             >>>     torch.library.opcheck(numpy_mul, args)
2025-08-26T19:47:09.9178290Z     
2025-08-26T19:47:09.9178510Z         
2025-08-26T19:47:09.9178670Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9178710Z     
2025-08-26T19:47:09.9178790Z       warnings.warn(msg)
2025-08-26T19:47:09.9178840Z     
2025-08-26T19:47:09.9178980Z --- Parse Warning: 6 / 146 ---
2025-08-26T19:47:09.9179630Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Tensor.dim_order in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py line=1493.
2025-08-26T19:47:09.9179790Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9179830Z     
2025-08-26T19:47:09.9179900Z     dim_order(ambiguity_check=False) -> tuple
2025-08-26T19:47:09.9179950Z     
2025-08-26T19:47:09.9180090Z     Returns the uniquely determined tuple of int describing the dim order or
2025-08-26T19:47:09.9180150Z     physical layout of :attr:`self`.
2025-08-26T19:47:09.9180190Z     
2025-08-26T19:47:09.9180360Z     The dim order represents how dimensions are laid out in memory of dense tensors,
2025-08-26T19:47:09.9180460Z     starting from the outermost to the innermost dimension.
2025-08-26T19:47:09.9180550Z     
2025-08-26T19:47:09.9180660Z     Note that the dim order may not always be uniquely determined.
2025-08-26T19:47:09.9180900Z     If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined;
2025-08-26T19:47:09.9181140Z     If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted
2025-08-26T19:47:09.9181300Z     into exactly one of the given memory formats, or it cannot be uniquely determined.
2025-08-26T19:47:09.9181500Z     If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness.
2025-08-26T19:47:09.9181570Z     Otherwise, it will raise TypeError.
2025-08-26T19:47:09.9181610Z     
2025-08-26T19:47:09.9181650Z     Args:
2025-08-26T19:47:09.9181850Z         ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order.
2025-08-26T19:47:09.9181890Z     
2025-08-26T19:47:09.9181940Z     Examples::
2025-08-26T19:47:09.9181980Z     
2025-08-26T19:47:09.9182050Z         >>> torch.empty((2, 3, 5, 7)).dim_order()
2025-08-26T19:47:09.9182090Z         (0, 1, 2, 3)
2025-08-26T19:47:09.9182200Z         >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order()
2025-08-26T19:47:09.9182240Z         (0, 2, 1, 3)
2025-08-26T19:47:09.9182370Z         >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order()
2025-08-26T19:47:09.9182410Z         (0, 2, 3, 1)
2025-08-26T19:47:09.9182480Z         >>> torch.empty((1, 2, 3, 4)).dim_order()
2025-08-26T19:47:09.9182530Z         (0, 1, 2, 3)
2025-08-26T19:47:09.9182570Z         >>> try:
2025-08-26T19:47:09.9182680Z         ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True)
2025-08-26T19:47:09.9182740Z         ... except RuntimeError as e:
2025-08-26T19:47:09.9182790Z         ...     print(e)
2025-08-26T19:47:09.9182980Z         The tensor does not have unique dim order, or cannot map to exact one of the given memory formats.
2025-08-26T19:47:09.9183060Z         >>> torch.empty((1, 2, 3, 4)).dim_order(
2025-08-26T19:47:09.9183190Z         ...     ambiguity_check=[torch.contiguous_format, torch.channels_last]
2025-08-26T19:47:09.9183270Z         ... )  # It can be mapped to contiguous format
2025-08-26T19:47:09.9183310Z         (0, 1, 2, 3)
2025-08-26T19:47:09.9183350Z         >>> try:
2025-08-26T19:47:09.9183470Z         ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL")
2025-08-26T19:47:09.9183520Z         ... except TypeError as e:
2025-08-26T19:47:09.9183570Z         ...     print(e)
2025-08-26T19:47:09.9183720Z         The ambiguity_check argument must be a bool or a list of memory formats.
2025-08-26T19:47:09.9183810Z     
2025-08-26T19:47:09.9183860Z     .. warning::
2025-08-26T19:47:09.9183990Z         The dim_order tensor API is experimental and subject to change.
2025-08-26T19:47:09.9184060Z     
2025-08-26T19:47:09.9184210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9184250Z     
2025-08-26T19:47:09.9184310Z       warnings.warn(msg)
2025-08-26T19:47:09.9184350Z     
2025-08-26T19:47:09.9184450Z --- Parse Warning: 7 / 146 ---
2025-08-26T19:47:09.9185050Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/hub.py line=565.
2025-08-26T19:47:09.9185210Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9185250Z     
2025-08-26T19:47:09.9185350Z     Load a model from a github repo or a local directory.
2025-08-26T19:47:09.9185390Z     
2025-08-26T19:47:09.9185540Z     Note: Loading a model is the typical use case, but this can also be used to
2025-08-26T19:47:09.9185670Z     for loading other objects such as tokenizers, loss functions, etc.
2025-08-26T19:47:09.9185710Z     
2025-08-26T19:47:09.9185850Z     If ``source`` is 'github', ``repo_or_dir`` is expected to be
2025-08-26T19:47:09.9185950Z     of the form ``repo_owner/repo_name[:ref]`` with an optional
2025-08-26T19:47:09.9186010Z     ref (a tag or a branch).
2025-08-26T19:47:09.9186050Z     
2025-08-26T19:47:09.9186150Z     If ``source`` is 'local', ``repo_or_dir`` is expected to be a
2025-08-26T19:47:09.9186210Z     path to a local directory.
2025-08-26T19:47:09.9186250Z     
2025-08-26T19:47:09.9186300Z     Args:
2025-08-26T19:47:09.9186380Z         repo_or_dir (str): If ``source`` is 'github',
2025-08-26T19:47:09.9186560Z             this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with
2025-08-26T19:47:09.9186750Z             an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified,
2025-08-26T19:47:09.9186910Z             the default branch is assumed to be ``main`` if it exists, and otherwise ``master``.
2025-08-26T19:47:09.9187040Z             If ``source`` is 'local'  then it should be a path to a local directory.
2025-08-26T19:47:09.9187160Z         model (str): the name of a callable (entrypoint) defined in the
2025-08-26T19:47:09.9187220Z             repo/dir's ``hubconf.py``.
2025-08-26T19:47:09.9187350Z         *args (optional): the corresponding args for callable ``model``.
2025-08-26T19:47:09.9187450Z         source (str, optional): 'github' or 'local'. Specifies how
2025-08-26T19:47:09.9187560Z             ``repo_or_dir`` is to be interpreted. Default is 'github'.
2025-08-26T19:47:09.9187690Z         trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
2025-08-26T19:47:09.9187830Z             This parameter was introduced in v1.12 and helps ensuring that users
2025-08-26T19:47:09.9187910Z             only run code from repos that they trust.
2025-08-26T19:47:09.9187960Z     
2025-08-26T19:47:09.9188070Z             - If ``False``, a prompt will ask the user whether the repo should
2025-08-26T19:47:09.9188130Z               be trusted.
2025-08-26T19:47:09.9188250Z             - If ``True``, the repo will be added to the trusted list and loaded
2025-08-26T19:47:09.9188330Z               without requiring explicit confirmation.
2025-08-26T19:47:09.9188440Z             - If ``"check"``, the repo will be checked against the list of
2025-08-26T19:47:09.9188570Z               trusted repos in the cache. If it is not present in that list, the
2025-08-26T19:47:09.9188690Z               behaviour will fall back onto the ``trust_repo=False`` option.
2025-08-26T19:47:09.9188800Z             - If ``None``: this will raise a warning, inviting the user to set
2025-08-26T19:47:09.9188970Z               ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
2025-08-26T19:47:09.9189100Z               is only present for backward compatibility and will be removed in
2025-08-26T19:47:09.9189150Z               v2.0.
2025-08-26T19:47:09.9189220Z     
2025-08-26T19:47:09.9189340Z             Default is ``None`` and will eventually change to ``"check"`` in v2.0.
2025-08-26T19:47:09.9189470Z         force_reload (bool, optional): whether to force a fresh download of
2025-08-26T19:47:09.9189590Z             the github repo unconditionally. Does not have any effect if
2025-08-26T19:47:09.9189670Z             ``source = 'local'``. Default is ``False``.
2025-08-26T19:47:09.9189800Z         verbose (bool, optional): If ``False``, mute messages about hitting
2025-08-26T19:47:09.9189920Z             local caches. Note that the message about first download cannot be
2025-08-26T19:47:09.9190030Z             muted. Does not have any effect if ``source = 'local'``.
2025-08-26T19:47:09.9190090Z             Default is ``True``.
2025-08-26T19:47:09.9190280Z         skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit
2025-08-26T19:47:09.9190450Z             specified by the ``github`` argument properly belongs to the repo owner. This will make
2025-08-26T19:47:09.9190620Z             requests to the GitHub API; you can specify a non-default GitHub token by setting the
2025-08-26T19:47:09.9190760Z             ``GITHUB_TOKEN`` environment variable. Default is ``False``.
2025-08-26T19:47:09.9190900Z         **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-08-26T19:47:09.9190940Z     
2025-08-26T19:47:09.9190990Z     Returns:
2025-08-26T19:47:09.9191110Z         The output of the ``model`` callable when called with the given
2025-08-26T19:47:09.9191160Z         ``*args`` and ``**kwargs``.
2025-08-26T19:47:09.9191200Z     
2025-08-26T19:47:09.9191250Z     Example:
2025-08-26T19:47:09.9191330Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-08-26T19:47:09.9191390Z         >>> # from a github repo
2025-08-26T19:47:09.9191450Z         >>> repo = "pytorch/vision"
2025-08-26T19:47:09.9191510Z         >>> model = torch.hub.load(
2025-08-26T19:47:09.9191620Z         ...     repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1"
2025-08-26T19:47:09.9191660Z         ... )
2025-08-26T19:47:09.9191720Z         >>> # from a local directory
2025-08-26T19:47:09.9191800Z         >>> path = "/some/local/path/pytorch/vision"
2025-08-26T19:47:09.9191860Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9192000Z         >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT")
2025-08-26T19:47:09.9192050Z     
2025-08-26T19:47:09.9192200Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9192240Z     
2025-08-26T19:47:09.9192290Z       warnings.warn(msg)
2025-08-26T19:47:09.9192330Z     
2025-08-26T19:47:09.9192430Z --- Parse Warning: 8 / 146 ---
2025-08-26T19:47:09.9193050Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_load_local in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/hub.py line=657.
2025-08-26T19:47:09.9193210Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9193250Z     
2025-08-26T19:47:09.9193360Z     Load a model from a local directory with a ``hubconf.py``.
2025-08-26T19:47:09.9193400Z     
2025-08-26T19:47:09.9193450Z     Args:
2025-08-26T19:47:09.9193560Z         hubconf_dir (str): path to a local directory that contains a
2025-08-26T19:47:09.9193620Z             ``hubconf.py``.
2025-08-26T19:47:09.9193730Z         model (str): name of an entrypoint defined in the directory's
2025-08-26T19:47:09.9193780Z             ``hubconf.py``.
2025-08-26T19:47:09.9193900Z         *args (optional): the corresponding args for callable ``model``.
2025-08-26T19:47:09.9194070Z         **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-08-26T19:47:09.9194120Z     
2025-08-26T19:47:09.9194160Z     Returns:
2025-08-26T19:47:09.9194260Z         a single model with corresponding pretrained weights.
2025-08-26T19:47:09.9194320Z     
2025-08-26T19:47:09.9194370Z     Example:
2025-08-26T19:47:09.9194440Z         >>> # xdoctest: +SKIP("stub local path")
2025-08-26T19:47:09.9194530Z         >>> path = "/some/local/path/pytorch/vision"
2025-08-26T19:47:09.9194580Z         >>> model = _load_local(
2025-08-26T19:47:09.9194630Z         ...     path,
2025-08-26T19:47:09.9194680Z         ...     "resnet50",
2025-08-26T19:47:09.9194760Z         ...     weights="ResNet50_Weights.IMAGENET1K_V1",
2025-08-26T19:47:09.9194800Z         ... )
2025-08-26T19:47:09.9194850Z     
2025-08-26T19:47:09.9195010Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9195040Z     
2025-08-26T19:47:09.9195100Z       warnings.warn(msg)
2025-08-26T19:47:09.9195140Z     
2025-08-26T19:47:09.9195240Z --- Parse Warning: 9 / 146 ---
2025-08-26T19:47:09.9195870Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=download_url_to_file in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/hub.py line=696.
2025-08-26T19:47:09.9196050Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9196140Z     Download object at the given URL to a local path.
2025-08-26T19:47:09.9196190Z     
2025-08-26T19:47:09.9196230Z         Args:
2025-08-26T19:47:09.9196310Z             url (str): URL of the object to download
2025-08-26T19:47:09.9196450Z             dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file``
2025-08-26T19:47:09.9196660Z             hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``.
2025-08-26T19:47:09.9196710Z                 Default: None
2025-08-26T19:47:09.9196870Z             progress (bool, optional): whether or not to display a progress bar to stderr
2025-08-26T19:47:09.9196920Z                 Default: True
2025-08-26T19:47:09.9196960Z     
2025-08-26T19:47:09.9197010Z         Example:
2025-08-26T19:47:09.9197090Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-08-26T19:47:09.9197160Z             >>> # xdoctest: +REQUIRES(POSIX)
2025-08-26T19:47:09.9197230Z             >>> torch.hub.download_url_to_file(
2025-08-26T19:47:09.9197370Z             ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth",
2025-08-26T19:47:09.9197430Z             ...     "/tmp/temporary_file",
2025-08-26T19:47:09.9197480Z             ... )
2025-08-26T19:47:09.9197520Z     
2025-08-26T19:47:09.9197560Z         
2025-08-26T19:47:09.9197710Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9197760Z     
2025-08-26T19:47:09.9197810Z       warnings.warn(msg)
2025-08-26T19:47:09.9197850Z     
2025-08-26T19:47:09.9197950Z --- Parse Warning: 10 / 146 ---
2025-08-26T19:47:09.9198590Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_state_dict_from_url in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/hub.py line=821.
2025-08-26T19:47:09.9198740Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9198840Z     Loads the Torch serialized object at the given URL.
2025-08-26T19:47:09.9198880Z     
2025-08-26T19:47:09.9198990Z         If downloaded file is a zip file, it will be automatically
2025-08-26T19:47:09.9199040Z         decompressed.
2025-08-26T19:47:09.9199080Z     
2025-08-26T19:47:09.9199210Z         If the object is already present in `model_dir`, it's deserialized and
2025-08-26T19:47:09.9199260Z         returned.
2025-08-26T19:47:09.9199450Z         The default value of ``model_dir`` is ``<hub_dir>/checkpoints`` where
2025-08-26T19:47:09.9199580Z         ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`.
2025-08-26T19:47:09.9199650Z     
2025-08-26T19:47:09.9199690Z         Args:
2025-08-26T19:47:09.9199770Z             url (str): URL of the object to download
2025-08-26T19:47:09.9199890Z             model_dir (str, optional): directory in which to save the object
2025-08-26T19:47:09.9200110Z             map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load)
2025-08-26T19:47:09.9200260Z             progress (bool, optional): whether or not to display a progress bar to stderr.
2025-08-26T19:47:09.9200310Z                 Default: True
2025-08-26T19:47:09.9200500Z             check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
2025-08-26T19:47:09.9200640Z                 ``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
2025-08-26T19:47:09.9200780Z                 digits of the SHA256 hash of the contents of the file. The hash is used to
2025-08-26T19:47:09.9200900Z                 ensure unique names and to verify the contents of the file.
2025-08-26T19:47:09.9200950Z                 Default: False
2025-08-26T19:47:09.9201190Z             file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set.
2025-08-26T19:47:09.9201380Z             weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects.
2025-08-26T19:47:09.9201540Z                 Recommended for untrusted sources. See :func:`~torch.load` for more details.
2025-08-26T19:47:09.9201580Z     
2025-08-26T19:47:09.9201630Z         Example:
2025-08-26T19:47:09.9201720Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-08-26T19:47:09.9201820Z             >>> state_dict = torch.hub.load_state_dict_from_url(
2025-08-26T19:47:09.9201970Z             ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth"
2025-08-26T19:47:09.9202010Z             ... )
2025-08-26T19:47:09.9202050Z     
2025-08-26T19:47:09.9202100Z         
2025-08-26T19:47:09.9202250Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9202290Z     
2025-08-26T19:47:09.9202340Z       warnings.warn(msg)
2025-08-26T19:47:09.9202390Z     
2025-08-26T19:47:09.9202480Z --- Parse Warning: 11 / 146 ---
2025-08-26T19:47:09.9203110Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=meshgrid in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py line=397.
2025-08-26T19:47:09.9203270Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9203410Z     Creates grids of coordinates specified by the 1D inputs in `attr`:tensors.
2025-08-26T19:47:09.9203450Z     
2025-08-26T19:47:09.9203570Z             This is helpful when you want to visualize data over some
2025-08-26T19:47:09.9203660Z             range of inputs. See below for a plotting example.
2025-08-26T19:47:09.9203710Z     
2025-08-26T19:47:09.9203810Z             Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as
2025-08-26T19:47:09.9203930Z             inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`,
2025-08-26T19:47:09.9204040Z             this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots
2025-08-26T19:47:09.9204140Z             G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where
2025-08-26T19:47:09.9204260Z             the output :math:`G_i` is constructed by expanding :math:`T_i`
2025-08-26T19:47:09.9204320Z             to the result shape.
2025-08-26T19:47:09.9204360Z     
2025-08-26T19:47:09.9204400Z             .. note::
2025-08-26T19:47:09.9204500Z                 0D inputs are treated equivalently to 1D inputs of a
2025-08-26T19:47:09.9204600Z                 single element.
2025-08-26T19:47:09.9204650Z     
2025-08-26T19:47:09.9204700Z             .. warning::
2025-08-26T19:47:09.9204810Z                 `torch.meshgrid(*tensors)` currently has the same behavior
2025-08-26T19:47:09.9204930Z                 as calling `numpy.meshgrid(*arrays, indexing='ij')`.
2025-08-26T19:47:09.9204980Z     
2025-08-26T19:47:09.9205070Z                 In the future `torch.meshgrid` will transition to
2025-08-26T19:47:09.9205140Z                 `indexing='xy'` as the default.
2025-08-26T19:47:09.9205180Z     
2025-08-26T19:47:09.9205300Z                 https://github.com/pytorch/pytorch/issues/50276 tracks
2025-08-26T19:47:09.9205400Z                 this issue with the goal of migrating to NumPy's behavior.
2025-08-26T19:47:09.9205450Z     
2025-08-26T19:47:09.9205490Z             .. seealso::
2025-08-26T19:47:09.9205530Z     
2025-08-26T19:47:09.9205640Z                 :func:`torch.cartesian_prod` has the same effect but it
2025-08-26T19:47:09.9205720Z                 collects the data in a tensor of vectors.
2025-08-26T19:47:09.9205770Z     
2025-08-26T19:47:09.9205810Z             Args:
2025-08-26T19:47:09.9205970Z                 tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be
2025-08-26T19:47:09.9206100Z                     treated as tensors of size :math:`(1,)` automatically
2025-08-26T19:47:09.9206140Z     
2025-08-26T19:47:09.9206250Z                 indexing: (str, optional): the indexing mode, either "xy"
2025-08-26T19:47:09.9206360Z                     or "ij", defaults to "ij". See warning for future changes.
2025-08-26T19:47:09.9206400Z     
2025-08-26T19:47:09.9206490Z                     If "xy" is selected, the first dimension corresponds
2025-08-26T19:47:09.9206590Z                     to the cardinality of the second input and the second
2025-08-26T19:47:09.9206700Z                     dimension corresponds to the cardinality of the first
2025-08-26T19:47:09.9206740Z                     input.
2025-08-26T19:47:09.9206780Z     
2025-08-26T19:47:09.9206880Z                     If "ij" is selected, the dimensions are in the same
2025-08-26T19:47:09.9206960Z                     order as the cardinality of the inputs.
2025-08-26T19:47:09.9207000Z     
2025-08-26T19:47:09.9207040Z             Returns:
2025-08-26T19:47:09.9207150Z                 seq (sequence of Tensors): If the input has :math:`N`
2025-08-26T19:47:09.9207240Z                 tensors of size :math:`S_0 \ldots S_{N-1}``, then the
2025-08-26T19:47:09.9207360Z                 output will also have :math:`N` tensors, where each tensor
2025-08-26T19:47:09.9207430Z                 is of shape :math:`(S_0, ..., S_{N-1})`.
2025-08-26T19:47:09.9207480Z     
2025-08-26T19:47:09.9207520Z             Example::
2025-08-26T19:47:09.9207560Z     
2025-08-26T19:47:09.9207630Z                 >>> x = torch.tensor([1, 2, 3])
2025-08-26T19:47:09.9207690Z                 >>> y = torch.tensor([4, 5, 6])
2025-08-26T19:47:09.9207730Z     
2025-08-26T19:47:09.9207850Z                 Observe the element-wise pairings across the grid, (1, 4),
2025-08-26T19:47:09.9207940Z                 (1, 5), ..., (3, 6). This is the same thing as the
2025-08-26T19:47:09.9207990Z                 cartesian product.
2025-08-26T19:47:09.9208100Z                 >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij')
2025-08-26T19:47:09.9208150Z                 >>> grid_x
2025-08-26T19:47:09.9208200Z                 tensor([[1, 1, 1],
2025-08-26T19:47:09.9208250Z                         [2, 2, 2],
2025-08-26T19:47:09.9208300Z                         [3, 3, 3]])
2025-08-26T19:47:09.9208350Z                 >>> grid_y
2025-08-26T19:47:09.9208400Z                 tensor([[4, 5, 6],
2025-08-26T19:47:09.9208450Z                         [4, 5, 6],
2025-08-26T19:47:09.9208500Z                         [4, 5, 6]])
2025-08-26T19:47:09.9208540Z     
2025-08-26T19:47:09.9208640Z                 This correspondence can be seen when these grids are
2025-08-26T19:47:09.9208740Z                 stacked properly.
2025-08-26T19:47:09.9208870Z                 >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))),
2025-08-26T19:47:09.9208960Z                 ...             torch.cartesian_prod(x, y))
2025-08-26T19:47:09.9209020Z                 True
2025-08-26T19:47:09.9209060Z     
2025-08-26T19:47:09.9209170Z                 `torch.meshgrid` is commonly used to produce a grid for
2025-08-26T19:47:09.9209220Z                 plotting.
2025-08-26T19:47:09.9209310Z                 >>> # xdoctest: +REQUIRES(module:matplotlib)
2025-08-26T19:47:09.9209380Z                 >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW)
2025-08-26T19:47:09.9209460Z                 >>> import matplotlib.pyplot as plt
2025-08-26T19:47:09.9209540Z                 >>> xs = torch.linspace(-5, 5, steps=100)
2025-08-26T19:47:09.9209620Z                 >>> ys = torch.linspace(-5, 5, steps=100)
2025-08-26T19:47:09.9209700Z                 >>> x, y = torch.meshgrid(xs, ys, indexing='xy')
2025-08-26T19:47:09.9209780Z                 >>> z = torch.sin(torch.sqrt(x * x + y * y))
2025-08-26T19:47:09.9209850Z                 >>> ax = plt.axes(projection='3d')
2025-08-26T19:47:09.9209950Z                 >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy())
2025-08-26T19:47:09.9210010Z                 >>> plt.show()
2025-08-26T19:47:09.9210070Z     
2025-08-26T19:47:09.9210150Z             .. image:: ../_static/img/meshgrid.png
2025-08-26T19:47:09.9210200Z                 :width: 512
2025-08-26T19:47:09.9210240Z     
2025-08-26T19:47:09.9210280Z             
2025-08-26T19:47:09.9210430Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9210470Z     
2025-08-26T19:47:09.9210530Z       warnings.warn(msg)
2025-08-26T19:47:09.9210570Z     
2025-08-26T19:47:09.9210670Z --- Parse Warning: 12 / 146 ---
2025-08-26T19:47:09.9211300Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_unique_impl in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/functional.py line=793.
2025-08-26T19:47:09.9211460Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9211690Z     unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor]
2025-08-26T19:47:09.9211740Z     
2025-08-26T19:47:09.9211830Z         Returns the unique elements of the input tensor.
2025-08-26T19:47:09.9211870Z     
2025-08-26T19:47:09.9212050Z         .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that
2025-08-26T19:47:09.9212180Z             this function also eliminates non-consecutive duplicate values.
2025-08-26T19:47:09.9212220Z     
2025-08-26T19:47:09.9212360Z         .. note:: Currently in the CUDA implementation and the CPU implementation,
2025-08-26T19:47:09.9212530Z             `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument.
2025-08-26T19:47:09.9212710Z             Sorting could be slow, so if your input tensor is already sorted, it is recommended to use
2025-08-26T19:47:09.9212820Z             :func:`torch.unique_consecutive` which avoids the sorting.
2025-08-26T19:47:09.9212870Z     
2025-08-26T19:47:09.9212910Z         Args:
2025-08-26T19:47:09.9212980Z             input (Tensor): the input tensor
2025-08-26T19:47:09.9213110Z             sorted (bool): Whether to sort the unique elements in ascending order
2025-08-26T19:47:09.9213170Z                 before returning as output.
2025-08-26T19:47:09.9213300Z             return_inverse (bool): Whether to also return the indices for where
2025-08-26T19:47:09.9213440Z                 elements in the original input ended up in the returned unique list.
2025-08-26T19:47:09.9213570Z             return_counts (bool): Whether to also return the counts for each unique
2025-08-26T19:47:09.9213620Z                 element.
2025-08-26T19:47:09.9213790Z             dim (int, optional): the dimension to operate upon. If ``None``, the
2025-08-26T19:47:09.9213920Z                 unique of the flattened input is returned. Otherwise, each of the
2025-08-26T19:47:09.9214060Z                 tensors indexed by the given dimension is treated as one of the
2025-08-26T19:47:09.9214190Z                 elements to apply the unique operation upon. See examples for more
2025-08-26T19:47:09.9214260Z                 details. Default: ``None``
2025-08-26T19:47:09.9214300Z     
2025-08-26T19:47:09.9214350Z         Returns:
2025-08-26T19:47:09.9214520Z             (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing
2025-08-26T19:47:09.9214560Z     
2025-08-26T19:47:09.9214680Z                 - **output** (*Tensor*): the output list of unique scalar elements.
2025-08-26T19:47:09.9214770Z                 - **inverse_indices** (*Tensor*): (optional) if
2025-08-26T19:47:09.9214890Z                   :attr:`return_inverse` is True, there will be an additional
2025-08-26T19:47:09.9215020Z                   returned tensor (same shape as input) representing the indices
2025-08-26T19:47:09.9215130Z                   for where elements in the original input map to in the output;
2025-08-26T19:47:09.9215250Z                   otherwise, this function will only return a single tensor.
2025-08-26T19:47:09.9215350Z                 - **counts** (*Tensor*): (optional) if
2025-08-26T19:47:09.9215460Z                   :attr:`return_counts` is True, there will be an additional
2025-08-26T19:47:09.9215570Z                   returned tensor (same shape as output or output.size(dim),
2025-08-26T19:47:09.9215680Z                   if dim was specified) representing the number of occurrences
2025-08-26T19:47:09.9215760Z                   for each unique value or tensor.
2025-08-26T19:47:09.9215800Z     
2025-08-26T19:47:09.9215840Z         Example::
2025-08-26T19:47:09.9215880Z     
2025-08-26T19:47:09.9216020Z             >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long))
2025-08-26T19:47:09.9216060Z             >>> output
2025-08-26T19:47:09.9216120Z             tensor([1, 2, 3])
2025-08-26T19:47:09.9216150Z     
2025-08-26T19:47:09.9216240Z             >>> output, inverse_indices = torch.unique(
2025-08-26T19:47:09.9216380Z             ...     torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True)
2025-08-26T19:47:09.9216430Z             >>> output
2025-08-26T19:47:09.9216480Z             tensor([1, 2, 3])
2025-08-26T19:47:09.9216530Z             >>> inverse_indices
2025-08-26T19:47:09.9216590Z             tensor([0, 2, 1, 2])
2025-08-26T19:47:09.9216620Z     
2025-08-26T19:47:09.9216750Z             >>> output, inverse_indices = torch.unique(
2025-08-26T19:47:09.9216900Z             ...     torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True)
2025-08-26T19:47:09.9216950Z             >>> output
2025-08-26T19:47:09.9216990Z             tensor([1, 2, 3])
2025-08-26T19:47:09.9217050Z             >>> inverse_indices
2025-08-26T19:47:09.9217100Z             tensor([[0, 2],
2025-08-26T19:47:09.9217150Z                     [1, 2]])
2025-08-26T19:47:09.9217190Z     
2025-08-26T19:47:09.9217240Z             >>> a = torch.tensor([
2025-08-26T19:47:09.9217290Z             ...     [
2025-08-26T19:47:09.9217340Z             ...         [1, 1, 0, 0],
2025-08-26T19:47:09.9217400Z             ...         [1, 1, 0, 0],
2025-08-26T19:47:09.9217440Z             ...         [0, 0, 1, 1],
2025-08-26T19:47:09.9217490Z             ...     ],
2025-08-26T19:47:09.9217540Z             ...     [
2025-08-26T19:47:09.9217590Z             ...         [0, 0, 1, 1],
2025-08-26T19:47:09.9217640Z             ...         [0, 0, 1, 1],
2025-08-26T19:47:09.9217690Z             ...         [1, 1, 1, 1],
2025-08-26T19:47:09.9217730Z             ...     ],
2025-08-26T19:47:09.9217770Z             ...     [
2025-08-26T19:47:09.9217820Z             ...         [1, 1, 0, 0],
2025-08-26T19:47:09.9217870Z             ...         [1, 1, 0, 0],
2025-08-26T19:47:09.9217980Z             ...         [0, 0, 1, 1],
2025-08-26T19:47:09.9218030Z             ...     ],
2025-08-26T19:47:09.9218080Z             ... ])
2025-08-26T19:47:09.9218150Z     
2025-08-26T19:47:09.9218290Z             >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]`
2025-08-26T19:47:09.9218420Z             >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match
2025-08-26T19:47:09.9218510Z             >>> # each other, so one of them will be removed.
2025-08-26T19:47:09.9218570Z             >>> (a[0, :, :] == a[2, :, :]).all()
2025-08-26T19:47:09.9218620Z             tensor(True)
2025-08-26T19:47:09.9218700Z             >>> a_unique_dim0 = torch.unique(a, dim=0)
2025-08-26T19:47:09.9218750Z             >>> a_unique_dim0
2025-08-26T19:47:09.9218800Z             tensor([[[0, 0, 1, 1],
2025-08-26T19:47:09.9218850Z                      [0, 0, 1, 1],
2025-08-26T19:47:09.9218900Z                      [1, 1, 1, 1]],
2025-08-26T19:47:09.9218950Z                     [[1, 1, 0, 0],
2025-08-26T19:47:09.9219000Z                      [1, 1, 0, 0],
2025-08-26T19:47:09.9219050Z                      [0, 0, 1, 1]]])
2025-08-26T19:47:09.9219100Z     
2025-08-26T19:47:09.9219230Z             >>> # Notice which sub-tensors from `a` match with the sub-tensors from
2025-08-26T19:47:09.9219320Z             >>> # `a_unique_dim0`:
2025-08-26T19:47:09.9219400Z             >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all()
2025-08-26T19:47:09.9219450Z             tensor(True)
2025-08-26T19:47:09.9219520Z             >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all()
2025-08-26T19:47:09.9219570Z             tensor(True)
2025-08-26T19:47:09.9219610Z     
2025-08-26T19:47:09.9219740Z             >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are
2025-08-26T19:47:09.9219850Z             >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of
2025-08-26T19:47:09.9219910Z             >>> # them will be removed.
2025-08-26T19:47:09.9219980Z             >>> (a[:, 0, :] == a[:, 1, :]).all()
2025-08-26T19:47:09.9220030Z             tensor(True)
2025-08-26T19:47:09.9220090Z             >>> torch.unique(a, dim=1)
2025-08-26T19:47:09.9220140Z             tensor([[[0, 0, 1, 1],
2025-08-26T19:47:09.9220190Z                      [1, 1, 0, 0]],
2025-08-26T19:47:09.9220240Z                     [[1, 1, 1, 1],
2025-08-26T19:47:09.9220300Z                      [0, 0, 1, 1]],
2025-08-26T19:47:09.9220340Z                     [[0, 0, 1, 1],
2025-08-26T19:47:09.9220390Z                      [1, 1, 0, 0]]])
2025-08-26T19:47:09.9220440Z     
2025-08-26T19:47:09.9220570Z             >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared.
2025-08-26T19:47:09.9220680Z             >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and
2025-08-26T19:47:09.9220790Z             >>> # `a[:, :, 3]` match each other as well. So in this case, two of the
2025-08-26T19:47:09.9220860Z             >>> # sub-tensors will be removed.
2025-08-26T19:47:09.9220920Z             >>> (a[:, :, 0] == a[:, :, 1]).all()
2025-08-26T19:47:09.9220970Z             tensor(True)
2025-08-26T19:47:09.9221030Z             >>> (a[:, :, 2] == a[:, :, 3]).all()
2025-08-26T19:47:09.9221080Z             tensor(True)
2025-08-26T19:47:09.9221140Z             >>> torch.unique(a, dim=2)
2025-08-26T19:47:09.9221190Z             tensor([[[0, 1],
2025-08-26T19:47:09.9221240Z                      [0, 1],
2025-08-26T19:47:09.9221290Z                      [1, 0]],
2025-08-26T19:47:09.9221330Z                     [[1, 0],
2025-08-26T19:47:09.9221380Z                      [1, 0],
2025-08-26T19:47:09.9221430Z                      [1, 1]],
2025-08-26T19:47:09.9221470Z                     [[0, 1],
2025-08-26T19:47:09.9221520Z                      [0, 1],
2025-08-26T19:47:09.9221570Z                      [1, 0]]])
2025-08-26T19:47:09.9221610Z         
2025-08-26T19:47:09.9221770Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9221860Z     
2025-08-26T19:47:09.9221960Z       warnings.warn(msg)
2025-08-26T19:47:09.9232910Z     
2025-08-26T19:47:09.9233100Z --- Parse Warning: 13 / 146 ---
2025-08-26T19:47:09.9233880Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/serialization.py line=1285.
2025-08-26T19:47:09.9234050Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9234250Z     load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args)
2025-08-26T19:47:09.9234290Z     
2025-08-26T19:47:09.9234410Z         Loads an object saved with :func:`torch.save` from a file.
2025-08-26T19:47:09.9234450Z     
2025-08-26T19:47:09.9234590Z         :func:`torch.load` uses Python's unpickling facilities but treats storages,
2025-08-26T19:47:09.9234730Z         which underlie tensors, specially. They are first deserialized on the
2025-08-26T19:47:09.9234870Z         CPU and are then moved to the device they were saved from. If this fails
2025-08-26T19:47:09.9235020Z         (e.g. because the run time system doesn't have certain devices), an exception
2025-08-26T19:47:09.9235210Z         is raised. However, storages can be dynamically remapped to an alternative
2025-08-26T19:47:09.9235310Z         set of devices using the :attr:`map_location` argument.
2025-08-26T19:47:09.9235350Z     
2025-08-26T19:47:09.9235510Z         If :attr:`map_location` is a callable, it will be called once for each serialized
2025-08-26T19:47:09.9235650Z         storage with two arguments: storage and location. The storage argument
2025-08-26T19:47:09.9235790Z         will be the initial deserialization of the storage, residing on the CPU.
2025-08-26T19:47:09.9235920Z         Each serialized storage has a location tag associated with it which
2025-08-26T19:47:09.9236050Z         identifies the device it was saved from, and this tag is the second
2025-08-26T19:47:09.9236210Z         argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'``
2025-08-26T19:47:09.9236370Z         for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors.
2025-08-26T19:47:09.9236490Z         :attr:`map_location` should return either ``None`` or a storage. If
2025-08-26T19:47:09.9236660Z         :attr:`map_location` returns a storage, it will be used as the final deserialized
2025-08-26T19:47:09.9236810Z         object, already moved to the right device. Otherwise, :func:`torch.load` will
2025-08-26T19:47:09.9236960Z         fall back to the default behavior, as if :attr:`map_location` wasn't specified.
2025-08-26T19:47:09.9237010Z     
2025-08-26T19:47:09.9237160Z         If :attr:`map_location` is a :class:`torch.device` object or a string containing
2025-08-26T19:47:09.9237310Z         a device tag, it indicates the location where all tensors should be loaded.
2025-08-26T19:47:09.9237360Z     
2025-08-26T19:47:09.9237530Z         Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags
2025-08-26T19:47:09.9237660Z         appearing in the file (keys), to ones that specify where to put the
2025-08-26T19:47:09.9237720Z         storages (values).
2025-08-26T19:47:09.9237760Z     
2025-08-26T19:47:09.9237900Z         User extensions can register their own location tags and tagging and
2025-08-26T19:47:09.9238070Z         deserialization methods using :func:`torch.serialization.register_package`.
2025-08-26T19:47:09.9238110Z     
2025-08-26T19:47:09.9238260Z         See :ref:`layout-control` for more advanced tools to manipulate a checkpoint.
2025-08-26T19:47:09.9238300Z     
2025-08-26T19:47:09.9238350Z         Args:
2025-08-26T19:47:09.9238560Z             f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`),
2025-08-26T19:47:09.9238730Z                 or a string or os.PathLike object containing a file name
2025-08-26T19:47:09.9238950Z             map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage
2025-08-26T19:47:09.9239030Z                 locations
2025-08-26T19:47:09.9239190Z             pickle_module: module used for unpickling metadata and objects (has to
2025-08-26T19:47:09.9239310Z                 match the :attr:`pickle_module` used to serialize file)
2025-08-26T19:47:09.9239450Z             weights_only: Indicates whether unpickler should be restricted to
2025-08-26T19:47:09.9239560Z                 loading only tensors, primitive types, dictionaries
2025-08-26T19:47:09.9239720Z                 and any types added via :func:`torch.serialization.add_safe_globals`.
2025-08-26T19:47:09.9239800Z                 See :ref:`weights-only` for more details.
2025-08-26T19:47:09.9240020Z             mmap: Indicates whether the file should be mapped rather than loading all the storages into memory.
2025-08-26T19:47:09.9240240Z                 Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they
2025-08-26T19:47:09.9240470Z                 are moved to the location that they were tagged with when saving, or specified by ``map_location``. This
2025-08-26T19:47:09.9240680Z                 second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the
2025-08-26T19:47:09.9240930Z                 tensor storages from disk to CPU memory in the first step, ``f`` is mapped, which means tensor storages
2025-08-26T19:47:09.9241030Z                 will be lazily loaded when their data is accessed.
2025-08-26T19:47:09.9241180Z             pickle_load_args: (Python 3 only) optional keyword arguments passed over to
2025-08-26T19:47:09.9241310Z                 :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g.,
2025-08-26T19:47:09.9241370Z                 :attr:`errors=...`.
2025-08-26T19:47:09.9241410Z     
2025-08-26T19:47:09.9241470Z         .. warning::
2025-08-26T19:47:09.9241600Z             :func:`torch.load()` unless `weights_only` parameter is set to `True`,
2025-08-26T19:47:09.9241720Z             uses ``pickle`` module implicitly, which is known to be insecure.
2025-08-26T19:47:09.9241900Z             It is possible to construct malicious pickle data which will execute arbitrary code
2025-08-26T19:47:09.9242050Z             during unpickling. Never load data that could have come from an untrusted
2025-08-26T19:47:09.9242240Z             source in an unsafe mode, or that could have been tampered with. **Only load data you trust**.
2025-08-26T19:47:09.9242290Z     
2025-08-26T19:47:09.9242330Z         .. note::
2025-08-26T19:47:09.9242490Z             When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors
2025-08-26T19:47:09.9242660Z             will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')``
2025-08-26T19:47:09.9242840Z             and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint.
2025-08-26T19:47:09.9242880Z     
2025-08-26T19:47:09.9242930Z         .. note::
2025-08-26T19:47:09.9243090Z             By default, we decode byte strings as ``utf-8``.  This is to avoid a common error
2025-08-26T19:47:09.9243230Z             case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...``
2025-08-26T19:47:09.9243360Z             when loading files saved by Python 2 in Python 3.  If this default
2025-08-26T19:47:09.9243520Z             is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how
2025-08-26T19:47:09.9243680Z             these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them
2025-08-26T19:47:09.9243830Z             to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them
2025-08-26T19:47:09.9243980Z             as byte arrays which can be decoded later with ``byte_array.decode(...)``.
2025-08-26T19:47:09.9244020Z     
2025-08-26T19:47:09.9244110Z         Example:
2025-08-26T19:47:09.9244200Z             >>> # xdoctest: +SKIP("undefined filepaths")
2025-08-26T19:47:09.9244290Z             >>> torch.load("tensors.pt", weights_only=True)
2025-08-26T19:47:09.9244380Z             # Load all tensors onto the CPU
2025-08-26T19:47:09.9244440Z             >>> torch.load(
2025-08-26T19:47:09.9244500Z             ...     "tensors.pt",
2025-08-26T19:47:09.9244580Z             ...     map_location=torch.device("cpu"),
2025-08-26T19:47:09.9244640Z             ...     weights_only=True,
2025-08-26T19:47:09.9244680Z             ... )
2025-08-26T19:47:09.9244780Z             # Load all tensors onto the CPU, using a function
2025-08-26T19:47:09.9244830Z             >>> torch.load(
2025-08-26T19:47:09.9244890Z             ...     "tensors.pt",
2025-08-26T19:47:09.9244980Z             ...     map_location=lambda storage, loc: storage,
2025-08-26T19:47:09.9245030Z             ...     weights_only=True,
2025-08-26T19:47:09.9245070Z             ... )
2025-08-26T19:47:09.9245140Z             # Load all tensors onto GPU 1
2025-08-26T19:47:09.9245190Z             >>> torch.load(
2025-08-26T19:47:09.9245250Z             ...     "tensors.pt",
2025-08-26T19:47:09.9245350Z             ...     map_location=lambda storage, loc: storage.cuda(1),
2025-08-26T19:47:09.9245400Z             ...     weights_only=True,
2025-08-26T19:47:09.9245510Z             ... )  # type: ignore[attr-defined]
2025-08-26T19:47:09.9245580Z             # Map tensors from GPU 1 to GPU 0
2025-08-26T19:47:09.9245630Z             >>> torch.load(
2025-08-26T19:47:09.9245680Z             ...     "tensors.pt",
2025-08-26T19:47:09.9245750Z             ...     map_location={"cuda:1": "cuda:0"},
2025-08-26T19:47:09.9245810Z             ...     weights_only=True,
2025-08-26T19:47:09.9245850Z             ... )
2025-08-26T19:47:09.9245920Z             # Load tensor from io.BytesIO object
2025-08-26T19:47:09.9246070Z             # Loading from a buffer setting weights_only=False, warning this can be unsafe
2025-08-26T19:47:09.9246150Z             >>> with open("tensor.pt", "rb") as f:
2025-08-26T19:47:09.9246210Z             ...     buffer = io.BytesIO(f.read())
2025-08-26T19:47:09.9246290Z             >>> torch.load(buffer, weights_only=False)
2025-08-26T19:47:09.9246390Z             # Load a module with 'ascii' encoding for unpickling
2025-08-26T19:47:09.9246540Z             # Loading from a module setting weights_only=False, warning this can be unsafe
2025-08-26T19:47:09.9246650Z             >>> torch.load("module.pt", encoding="ascii", weights_only=False)
2025-08-26T19:47:09.9246700Z         
2025-08-26T19:47:09.9246850Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9246890Z     
2025-08-26T19:47:09.9246940Z       warnings.warn(msg)
2025-08-26T19:47:09.9246980Z     
2025-08-26T19:47:09.9247090Z --- Parse Warning: 14 / 146 ---
2025-08-26T19:47:09.9247750Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.then in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/futures/__init__.py line=101.
2025-08-26T19:47:09.9247910Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9247950Z     
2025-08-26T19:47:09.9248090Z     Append the given callback function to this ``Future``, which will be run
2025-08-26T19:47:09.9248220Z     when the ``Future`` is completed.  Multiple callbacks can be added to
2025-08-26T19:47:09.9248340Z     the same ``Future``, but the order in which they will be executed cannot
2025-08-26T19:47:09.9248450Z     be guaranteed (to enforce a certain order consider chaining:
2025-08-26T19:47:09.9248580Z     ``fut.then(cb1).then(cb2)``). The callback must take one argument, which
2025-08-26T19:47:09.9248700Z     is the reference to this ``Future``. The callback function can use the
2025-08-26T19:47:09.9248890Z     :meth:`value` method to get the value. Note that if this ``Future`` is
2025-08-26T19:47:09.9249020Z     already completed, the given callback will be run immediately inline.
2025-08-26T19:47:09.9249070Z     
2025-08-26T19:47:09.9249220Z     If the ``Future``'s value contains tensors that reside on GPUs, the
2025-08-26T19:47:09.9249360Z     callback might be invoked while the async kernels that are populating
2025-08-26T19:47:09.9249490Z     those tensors haven't yet finished executing on the device. However, the
2025-08-26T19:47:09.9249620Z     callback will be invoked with some dedicated streams set as current
2025-08-26T19:47:09.9249750Z     (fetched from a global pool) which will be synchronized with those
2025-08-26T19:47:09.9249880Z     kernels. Hence any operation performed by the callback on these tensors
2025-08-26T19:47:09.9250000Z     will be scheduled on the device after the kernels complete. In other
2025-08-26T19:47:09.9250130Z     words, as long as the callback doesn't switch streams, it can safely
2025-08-26T19:47:09.9250270Z     manipulate the result without any additional synchronization. This is
2025-08-26T19:47:09.9250360Z     similar to the non-blocking behavior of :meth:`wait`.
2025-08-26T19:47:09.9250400Z     
2025-08-26T19:47:09.9250530Z     Similarly, if the callback returns a value that contains tensors that
2025-08-26T19:47:09.9250680Z     reside on a GPU, it can do so even if the kernels that are producing
2025-08-26T19:47:09.9250810Z     these tensors are still running on the device, as long as the callback
2025-08-26T19:47:09.9250930Z     didn't change streams during its execution. If one wants to change
2025-08-26T19:47:09.9251060Z     streams, one must be careful to re-synchronize them with the original
2025-08-26T19:47:09.9251190Z     streams, that is, those that were current when the callback was invoked.
2025-08-26T19:47:09.9251230Z     
2025-08-26T19:47:09.9251270Z     Args:
2025-08-26T19:47:09.9251390Z         callback(``Callable``): a ``Callable`` that takes this ``Future`` as
2025-08-26T19:47:09.9251460Z                                 the only argument.
2025-08-26T19:47:09.9251500Z     
2025-08-26T19:47:09.9251560Z     Returns:
2025-08-26T19:47:09.9251660Z         A new ``Future`` object that holds the return value of the
2025-08-26T19:47:09.9251770Z         ``callback`` and will be marked as completed when the given
2025-08-26T19:47:09.9251820Z         ``callback`` finishes.
2025-08-26T19:47:09.9251860Z     
2025-08-26T19:47:09.9251970Z     .. note:: Note that if the callback function throws, either
2025-08-26T19:47:09.9252090Z         through the original future being completed with an exception and
2025-08-26T19:47:09.9252200Z         calling ``fut.wait()``, or through other code in the callback, the
2025-08-26T19:47:09.9252330Z         future returned by ``then`` will be marked appropriately with the
2025-08-26T19:47:09.9252450Z         encountered error. However, if this callback later completes
2025-08-26T19:47:09.9252570Z         additional futures, those futures are not marked as completed with
2025-08-26T19:47:09.9252700Z         an error and the user is responsible for handling completion/waiting
2025-08-26T19:47:09.9252760Z         on those futures independently.
2025-08-26T19:47:09.9252800Z     
2025-08-26T19:47:09.9252850Z     Example::
2025-08-26T19:47:09.9252890Z     
2025-08-26T19:47:09.9252980Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-08-26T19:47:09.9253040Z         >>> def callback(fut):
2025-08-26T19:47:09.9253120Z         ...     print(f"RPC return value is {fut.wait()}.")
2025-08-26T19:47:09.9253190Z         >>> fut = torch.futures.Future()
2025-08-26T19:47:09.9253290Z         >>> # The inserted callback will print the return value when
2025-08-26T19:47:09.9253360Z         >>> # receiving the response from "worker1"
2025-08-26T19:47:09.9253420Z         >>> cb_fut = fut.then(callback)
2025-08-26T19:47:09.9253480Z         >>> chain_cb_fut = cb_fut.then(
2025-08-26T19:47:09.9253570Z         ...     lambda x : print(f"Chained cb done. {x.wait()}")
2025-08-26T19:47:09.9253650Z         ... )
2025-08-26T19:47:09.9253710Z         >>> fut.set_result(5)
2025-08-26T19:47:09.9253770Z         RPC return value is 5.
2025-08-26T19:47:09.9253820Z         Chained cb done. None
2025-08-26T19:47:09.9253890Z     
2025-08-26T19:47:09.9254050Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9254090Z     
2025-08-26T19:47:09.9254140Z       warnings.warn(msg)
2025-08-26T19:47:09.9254180Z     
2025-08-26T19:47:09.9254280Z --- Parse Warning: 15 / 146 ---
2025-08-26T19:47:09.9254950Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.set_result in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/futures/__init__.py line=211.
2025-08-26T19:47:09.9255110Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9255150Z     
2025-08-26T19:47:09.9255280Z     Set the result for this ``Future``, which will mark this ``Future`` as
2025-08-26T19:47:09.9255410Z     completed and trigger all attached callbacks. Note that a ``Future``
2025-08-26T19:47:09.9255480Z     cannot be marked completed twice.
2025-08-26T19:47:09.9255520Z     
2025-08-26T19:47:09.9255670Z     If the result contains tensors that reside on GPUs, this method can be
2025-08-26T19:47:09.9255800Z     called even if the asynchronous kernels that are populating those
2025-08-26T19:47:09.9255930Z     tensors haven't yet completed running on the device, provided that the
2025-08-26T19:47:09.9256070Z     streams on which those kernels were enqueued are set as the current ones
2025-08-26T19:47:09.9256200Z     when this method is called. Put simply, it's safe to call this method
2025-08-26T19:47:09.9256330Z     immediately after launching those kernels, without any additional
2025-08-26T19:47:09.9256460Z     synchronization, as long as one doesn't change streams in between. This
2025-08-26T19:47:09.9256590Z     method will record events on all the relevant current streams and will
2025-08-26T19:47:09.9256720Z     use them to ensure proper scheduling for all the consumers of this
2025-08-26T19:47:09.9256760Z     ``Future``.
2025-08-26T19:47:09.9256800Z     
2025-08-26T19:47:09.9256840Z     Args:
2025-08-26T19:47:09.9256940Z         result (object): the result object of this ``Future``.
2025-08-26T19:47:09.9256980Z     
2025-08-26T19:47:09.9257020Z     Example::
2025-08-26T19:47:09.9257060Z     
2025-08-26T19:47:09.9257150Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-08-26T19:47:09.9257200Z         >>> import threading
2025-08-26T19:47:09.9257260Z         >>> import time
2025-08-26T19:47:09.9257320Z         >>> def slow_set_future(fut, value):
2025-08-26T19:47:09.9257370Z         ...     time.sleep(0.5)
2025-08-26T19:47:09.9257430Z         ...     fut.set_result(value)
2025-08-26T19:47:09.9257490Z         >>> fut = torch.futures.Future()
2025-08-26T19:47:09.9257550Z         >>> t = threading.Thread(
2025-08-26T19:47:09.9257610Z         ...     target=slow_set_future,
2025-08-26T19:47:09.9257670Z         ...     args=(fut, torch.ones(2) * 3)
2025-08-26T19:47:09.9257710Z         ... )
2025-08-26T19:47:09.9257760Z         >>> t.start()
2025-08-26T19:47:09.9257810Z         >>> print(fut.wait())
2025-08-26T19:47:09.9257860Z         tensor([3., 3.])
2025-08-26T19:47:09.9257900Z         >>> t.join()
2025-08-26T19:47:09.9257940Z     
2025-08-26T19:47:09.9258090Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9258130Z     
2025-08-26T19:47:09.9258180Z       warnings.warn(msg)
2025-08-26T19:47:09.9258220Z     
2025-08-26T19:47:09.9258320Z --- Parse Warning: 16 / 146 ---
2025-08-26T19:47:09.9259030Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compile_shader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/mps/__init__.py line=145.
2025-08-26T19:47:09.9259190Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9259360Z     Compiles compute shader from source and allows one to invoke kernels
2025-08-26T19:47:09.9259450Z         defined there from the comfort of Python runtime
2025-08-26T19:47:09.9259500Z         Example::
2025-08-26T19:47:09.9259540Z     
2025-08-26T19:47:09.9259630Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS)
2025-08-26T19:47:09.9259710Z             >>> lib = torch.mps.compile_shader(
2025-08-26T19:47:09.9259950Z             ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }"
2025-08-26T19:47:09.9259990Z             ...  )
2025-08-26T19:47:09.9260060Z             >>> x = torch.zeros(16, device="mps")
2025-08-26T19:47:09.9260120Z             >>> lib.full(x, 3.14)
2025-08-26T19:47:09.9260160Z         
2025-08-26T19:47:09.9260320Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9260360Z     
2025-08-26T19:47:09.9260410Z       warnings.warn(msg)
2025-08-26T19:47:09.9260450Z     
2025-08-26T19:47:09.9260550Z --- Parse Warning: 17 / 146 ---
2025-08-26T19:47:09.9261410Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compute_required_storage_length in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_prims_common/__init__.py line=1877.
2025-08-26T19:47:09.9261570Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9261710Z     Computes the minimum storage size to hold the given tensor geometry.
2025-08-26T19:47:09.9261750Z     
2025-08-26T19:47:09.9261790Z         Example
2025-08-26T19:47:09.9261830Z         =======
2025-08-26T19:47:09.9261870Z     
2025-08-26T19:47:09.9262010Z         This is the size of a newly allocated tensor's storage, in units of elements
2025-08-26T19:47:09.9262060Z     
2025-08-26T19:47:09.9262110Z         >>> t = torch.empty((10, 20))
2025-08-26T19:47:09.9262270Z         >>> compute_required_storage_length(t.shape, t.stride(), t.storage_offset())
2025-08-26T19:47:09.9262310Z         200
2025-08-26T19:47:09.9262350Z     
2025-08-26T19:47:09.9262410Z         >>> # xdoctest: +SKIP(failing)
2025-08-26T19:47:09.9262500Z         >>> t2 = torch.empty_strided((1, 2, 3), (5, 7, 11))
2025-08-26T19:47:09.9262570Z         >>> size = compute_required_storage_length(
2025-08-26T19:47:09.9262650Z         ...     t2.shape, t2.stride(), t2.storage_offset()
2025-08-26T19:47:09.9262700Z         ... )
2025-08-26T19:47:09.9262750Z         >>> size == t.storage().size()
2025-08-26T19:47:09.9262790Z         True
2025-08-26T19:47:09.9262830Z     
2025-08-26T19:47:09.9262950Z         A valid tensor may have a larger storage size, but never smaller
2025-08-26T19:47:09.9262990Z     
2025-08-26T19:47:09.9263060Z         >>> slice = torch.empty(100)[20:40]
2025-08-26T19:47:09.9263120Z         >>> slice.storage().size()
2025-08-26T19:47:09.9263160Z         100
2025-08-26T19:47:09.9263200Z     
2025-08-26T19:47:09.9263270Z         >>> compute_required_storage_length(
2025-08-26T19:47:09.9263370Z         ...     slice.shape, slice.stride(), slice.storage_offset()
2025-08-26T19:47:09.9263420Z         ... )
2025-08-26T19:47:09.9263460Z         40
2025-08-26T19:47:09.9263500Z     
2025-08-26T19:47:09.9263540Z         
2025-08-26T19:47:09.9263690Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9263730Z     
2025-08-26T19:47:09.9263780Z       warnings.warn(msg)
2025-08-26T19:47:09.9263820Z     
2025-08-26T19:47:09.9263930Z --- Parse Warning: 18 / 146 ---
2025-08-26T19:47:09.9264620Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=cudart in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/cuda/__init__.py line=434.
2025-08-26T19:47:09.9264780Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:09.9264870Z     Retrieves the CUDA runtime API module.
2025-08-26T19:47:09.9264910Z     
2025-08-26T19:47:09.9264950Z     
2025-08-26T19:47:09.9265120Z         This function initializes the CUDA runtime environment if it is not already
2025-08-26T19:47:09.9265270Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-08-26T19:47:09.9265410Z         runtime API module provides access to various CUDA runtime functions.
2025-08-26T19:47:09.9265450Z     
2025-08-26T19:47:09.9265500Z         Args:
2025-08-26T19:47:09.9265550Z             ``None``
2025-08-26T19:47:09.9265590Z     
2025-08-26T19:47:09.9265630Z         Returns:
2025-08-26T19:47:09.9265720Z             module: The CUDA runtime API module (_cudart).
2025-08-26T19:47:09.9265770Z     
2025-08-26T19:47:09.9265810Z         Raises:
2025-08-26T19:47:09.9265960Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-08-26T19:47:09.9266190Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-08-26T19:47:09.9266270Z     
2025-08-26T19:47:09.9266350Z         Example of CUDA operations with profiling:
2025-08-26T19:47:09.9266410Z             >>> import torch
2025-08-26T19:47:09.9266490Z             >>> from torch.cuda import cudart, check_error
2025-08-26T19:47:09.9266540Z             >>> import os
2025-08-26T19:47:09.9266580Z             >>>
2025-08-26T19:47:09.9266660Z             >>> os.environ["CUDA_PROFILE"] = "1"
2025-08-26T19:47:09.9266700Z             >>>
2025-08-26T19:47:09.9266790Z             >>> def perform_cuda_operations_with_streams():
2025-08-26T19:47:09.9266860Z             >>>     stream = torch.cuda.Stream()
2025-08-26T19:47:09.9266940Z             >>>     with torch.cuda.stream(stream):
2025-08-26T19:47:09.9267020Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-08-26T19:47:09.9267110Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-08-26T19:47:09.9267170Z             >>>         z = torch.mul(x, y)
2025-08-26T19:47:09.9267220Z             >>>     return z
2025-08-26T19:47:09.9267260Z             >>>
2025-08-26T19:47:09.9267330Z             >>> torch.cuda.synchronize()
2025-08-26T19:47:09.9267410Z             >>> print("====== Start nsys profiling ======")
2025-08-26T19:47:09.9267490Z             >>> check_error(cudart().cudaProfilerStart())
2025-08-26T19:47:09.9267580Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-08-26T19:47:09.9267670Z             >>>     result = perform_cuda_operations_with_streams()
2025-08-26T19:47:09.9267750Z             >>>     print("CUDA operations completed.")
2025-08-26T19:47:09.9267850Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-08-26T19:47:09.9267940Z             >>> print("====== End nsys profiling ======")
2025-08-26T19:47:09.9267970Z     
2025-08-26T19:47:09.9268100Z         To run this example and save the profiling information, execute:
2025-08-26T19:47:09.9268320Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-26T19:47:09.9268360Z     
2025-08-26T19:47:09.9268510Z         This command profiles the CUDA operations in the provided script and saves
2025-08-26T19:47:09.9268620Z         the profiling information to a file named `trace_name.prof`.
2025-08-26T19:47:09.9268770Z         The `--profile-from-start off` option ensures that profiling starts only
2025-08-26T19:47:09.9268860Z         after the `cudaProfilerStart` call in the script.
2025-08-26T19:47:09.9268990Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-08-26T19:47:09.9269070Z         CSV file and print a summary, respectively.
2025-08-26T19:47:09.9269290Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-08-26T19:47:09.9269380Z         overwrite of the output file if it already exists.
2025-08-26T19:47:09.9269470Z         
2025-08-26T19:47:09.9269850Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-08-26T19:47:09.9269900Z     
2025-08-26T19:47:09.9270110Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-26T19:47:09.9270150Z     ^
2025-08-26T19:47:09.9270200Z       warnings.warn(msg)
2025-08-26T19:47:09.9270240Z     
2025-08-26T19:47:09.9270330Z --- Parse Warning: 19 / 146 ---
2025-08-26T19:47:09.9270990Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=is_available in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/accelerator/__init__.py line=66.
2025-08-26T19:47:09.9271140Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:09.9271300Z     Check if the current accelerator is available at runtime: it was build, all the
2025-08-26T19:47:09.9271490Z         required drivers are available and at least one device is visible.
2025-08-26T19:47:09.9271580Z         See :ref:`accelerator<accelerators>` for details.
2025-08-26T19:47:09.9271620Z     
2025-08-26T19:47:09.9271660Z         Returns:
2025-08-26T19:47:09.9271830Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-08-26T19:47:09.9271870Z     
2025-08-26T19:47:09.9272010Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-08-26T19:47:09.9272170Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-08-26T19:47:09.9272320Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-08-26T19:47:09.9272410Z             :ref:`multiprocessing-poison-fork-note`.
2025-08-26T19:47:09.9272460Z     
2025-08-26T19:47:09.9272500Z         Example::
2025-08-26T19:47:09.9272540Z     
2025-08-26T19:47:09.9272700Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T19:47:09.9272740Z         
2025-08-26T19:47:09.9273070Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-08-26T19:47:09.9273110Z     
2025-08-26T19:47:09.9273270Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T19:47:09.9273330Z                                             ^
2025-08-26T19:47:09.9273380Z       warnings.warn(msg)
2025-08-26T19:47:09.9273420Z     
2025-08-26T19:47:09.9273520Z --- Parse Warning: 20 / 146 ---
2025-08-26T19:47:09.9274170Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=synchronize in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/accelerator/__init__.py line=212.
2025-08-26T19:47:09.9274330Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:09.9274460Z     Wait for all kernels in all streams on the given device to complete.
2025-08-26T19:47:09.9274500Z     
2025-08-26T19:47:09.9274540Z         Args:
2025-08-26T19:47:09.9274730Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-08-26T19:47:09.9274870Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-08-26T19:47:09.9274990Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-08-26T19:47:09.9275030Z     
2025-08-26T19:47:09.9275270Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-08-26T19:47:09.9275310Z     
2025-08-26T19:47:09.9275360Z         Example::
2025-08-26T19:47:09.9275420Z     
2025-08-26T19:47:09.9275510Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-26T19:47:09.9275670Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T19:47:09.9275760Z             >>> start_event = torch.Event(enable_timing=True)
2025-08-26T19:47:09.9275840Z             >>> end_event = torch.Event(enable_timing=True)
2025-08-26T19:47:09.9275910Z             >>> start_event.record()
2025-08-26T19:47:09.9276060Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-08-26T19:47:09.9276110Z             >>> sum = torch.sum(tensor)
2025-08-26T19:47:09.9276170Z             >>> end_event.record()
2025-08-26T19:47:09.9276240Z             >>> torch.accelerator.synchronize()
2025-08-26T19:47:09.9276350Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-08-26T19:47:09.9276390Z         
2025-08-26T19:47:09.9276720Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-08-26T19:47:09.9276780Z     
2025-08-26T19:47:09.9276940Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-26T19:47:09.9277000Z                                             ^
2025-08-26T19:47:09.9277050Z       warnings.warn(msg)
2025-08-26T19:47:09.9277090Z     
2025-08-26T19:47:09.9277190Z --- Parse Warning: 21 / 146 ---
2025-08-26T19:47:09.9277810Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=sum in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/sparse/__init__.py line=202.
2025-08-26T19:47:09.9277970Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9278070Z     Return the sum of each row of the given sparse tensor.
2025-08-26T19:47:09.9278110Z     
2025-08-26T19:47:09.9278240Z         Returns the sum of each row of the sparse tensor :attr:`input` in the given
2025-08-26T19:47:09.9278370Z         dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions,
2025-08-26T19:47:09.9278490Z         reduce over all of them. When sum over all ``sparse_dim``, this method
2025-08-26T19:47:09.9278590Z         returns a dense tensor instead of a sparse tensor.
2025-08-26T19:47:09.9278630Z     
2025-08-26T19:47:09.9278780Z         All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output
2025-08-26T19:47:09.9278900Z         tensor having :attr:`dim` fewer dimensions than :attr:`input`.
2025-08-26T19:47:09.9278940Z     
2025-08-26T19:47:09.9279080Z         During backward, only gradients at ``nnz`` locations of :attr:`input`
2025-08-26T19:47:09.9279220Z         will propagate back. Note that the gradients of :attr:`input` is coalesced.
2025-08-26T19:47:09.9279270Z     
2025-08-26T19:47:09.9279310Z         Args:
2025-08-26T19:47:09.9279380Z             input (Tensor): the input sparse tensor
2025-08-26T19:47:09.9279550Z             dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce
2025-08-26T19:47:09.9279610Z                 over all dims.
2025-08-26T19:47:09.9279760Z             dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor.
2025-08-26T19:47:09.9279830Z                 Default: dtype of :attr:`input`.
2025-08-26T19:47:09.9279870Z     
2025-08-26T19:47:09.9279920Z         Example::
2025-08-26T19:47:09.9279950Z     
2025-08-26T19:47:09.9280000Z             >>> nnz = 3
2025-08-26T19:47:09.9280050Z             >>> dims = [5, 5, 2, 3]
2025-08-26T19:47:09.9280150Z             >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)),
2025-08-26T19:47:09.9280320Z                                torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz)
2025-08-26T19:47:09.9280390Z             >>> V = torch.randn(nnz, dims[2], dims[3])
2025-08-26T19:47:09.9280480Z             >>> size = torch.Size(dims)
2025-08-26T19:47:09.9280570Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-26T19:47:09.9280650Z             >>> S = torch.sparse_coo_tensor(I, V, size)
2025-08-26T19:47:09.9280690Z             >>> S
2025-08-26T19:47:09.9280760Z             tensor(indices=tensor([[2, 0, 3],
2025-08-26T19:47:09.9280810Z                                    [2, 4, 1]]),
2025-08-26T19:47:09.9280900Z                    values=tensor([[[-0.6438, -1.6467,  1.4004],
2025-08-26T19:47:09.9280970Z                                    [ 0.3411,  0.0918, -0.2312]],
2025-08-26T19:47:09.9281010Z     
2025-08-26T19:47:09.9281080Z                                   [[ 0.5348,  0.0634, -2.0494],
2025-08-26T19:47:09.9281150Z                                    [-0.7125, -1.0646,  2.1844]],
2025-08-26T19:47:09.9281190Z     
2025-08-26T19:47:09.9281260Z                                   [[ 0.1276,  0.1874, -0.6334],
2025-08-26T19:47:09.9281330Z                                    [-1.9682, -0.5340,  0.7483]]]),
2025-08-26T19:47:09.9281420Z                    size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo)
2025-08-26T19:47:09.9281490Z     
2025-08-26T19:47:09.9281610Z             # when sum over only part of sparse_dims, return a sparse tensor
2025-08-26T19:47:09.9281680Z             >>> torch.sparse.sum(S, [1, 3])
2025-08-26T19:47:09.9281740Z             tensor(indices=tensor([[0, 2, 3]]),
2025-08-26T19:47:09.9281810Z                    values=tensor([[-1.4512,  0.4073],
2025-08-26T19:47:09.9281880Z                                   [-0.8901,  0.2017],
2025-08-26T19:47:09.9281940Z                                   [-0.3183, -1.7539]]),
2025-08-26T19:47:09.9282030Z                    size=(5, 2), nnz=3, layout=torch.sparse_coo)
2025-08-26T19:47:09.9282070Z     
2025-08-26T19:47:09.9282170Z             # when sum over all sparse dim, return a dense tensor
2025-08-26T19:47:09.9282230Z             # with summed dims squeezed
2025-08-26T19:47:09.9282300Z             >>> torch.sparse.sum(S, [0, 1, 3])
2025-08-26T19:47:09.9282350Z             tensor([-2.6596, -1.1450])
2025-08-26T19:47:09.9282400Z         
2025-08-26T19:47:09.9282550Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9282590Z     
2025-08-26T19:47:09.9282640Z       warnings.warn(msg)
2025-08-26T19:47:09.9282680Z     
2025-08-26T19:47:09.9282780Z --- Parse Warning: 22 / 146 ---
2025-08-26T19:47:09.9283440Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=as_sparse_gradcheck in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/sparse/__init__.py line=550.
2025-08-26T19:47:09.9283600Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9283710Z     Decorate function, to extend gradcheck for sparse tensors.
2025-08-26T19:47:09.9283750Z     
2025-08-26T19:47:09.9283890Z         Decorator for torch.autograd.gradcheck or its functools.partial
2025-08-26T19:47:09.9284020Z         variants that extends the gradcheck function with support to input
2025-08-26T19:47:09.9284120Z         functions that operate on or/and return sparse tensors.
2025-08-26T19:47:09.9284160Z     
2025-08-26T19:47:09.9284290Z         The specified gradcheck function itself is guaranteed to operate
2025-08-26T19:47:09.9284350Z         on strided tensors only.
2025-08-26T19:47:09.9284390Z     
2025-08-26T19:47:09.9284430Z         For example:
2025-08-26T19:47:09.9284470Z     
2025-08-26T19:47:09.9284610Z         >>> gradcheck = torch.sparse.as_sparse_gradcheck(torch.autograd.gradcheck)
2025-08-26T19:47:09.9284650Z         >>> x = (
2025-08-26T19:47:09.9284790Z         ...     torch.tensor([[0, 1], [2, 3]], dtype=torch.float64)
2025-08-26T19:47:09.9284850Z         ...     .to_sparse_coo()
2025-08-26T19:47:09.9284910Z         ...     .requires_grad_(True)
2025-08-26T19:47:09.9284970Z         ... )
2025-08-26T19:47:09.9285050Z         >>> gradcheck(lambda x: x.to_sparse_csr(), x)
2025-08-26T19:47:09.9285100Z         True
2025-08-26T19:47:09.9285140Z         
2025-08-26T19:47:09.9285290Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9285330Z     
2025-08-26T19:47:09.9285380Z       warnings.warn(msg)
2025-08-26T19:47:09.9285420Z     
2025-08-26T19:47:09.9285520Z --- Parse Warning: 23 / 146 ---
2025-08-26T19:47:09.9286140Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=vmap in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/apis.py line=39.
2025-08-26T19:47:09.9286310Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9286340Z     
2025-08-26T19:47:09.9286480Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-08-26T19:47:09.9286610Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-08-26T19:47:09.9286760Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-08-26T19:47:09.9286830Z     vectorizing those operations.
2025-08-26T19:47:09.9286870Z     
2025-08-26T19:47:09.9287000Z     vmap is useful for handling batch dimensions: one can write a function
2025-08-26T19:47:09.9287120Z     ``func`` that runs on examples and then lift it to a function that can
2025-08-26T19:47:09.9287240Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-08-26T19:47:09.9287350Z     compute batched gradients when composed with autograd.
2025-08-26T19:47:09.9287380Z     
2025-08-26T19:47:09.9287430Z     .. note::
2025-08-26T19:47:09.9287540Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-08-26T19:47:09.9287620Z         convenience. Use whichever one you'd like.
2025-08-26T19:47:09.9287660Z     
2025-08-26T19:47:09.9287710Z     Args:
2025-08-26T19:47:09.9287830Z         func (function): A Python function that takes one or more arguments.
2025-08-26T19:47:09.9287900Z             Must return one or more Tensors.
2025-08-26T19:47:09.9288030Z         in_dims (int or nested structure): Specifies which dimension of the
2025-08-26T19:47:09.9291570Z             inputs should be mapped over. ``in_dims`` should have a
2025-08-26T19:47:09.9291730Z             structure like the inputs. If the ``in_dim`` for a particular
2025-08-26T19:47:09.9291840Z             input is None, then that indicates there is no map dimension.
2025-08-26T19:47:09.9291900Z             Default: 0.
2025-08-26T19:47:09.9292010Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-08-26T19:47:09.9292140Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-08-26T19:47:09.9292230Z             it should have one element per output. Default: 0.
2025-08-26T19:47:09.9292350Z         randomness (str): Specifies whether the randomness in this
2025-08-26T19:47:09.9292480Z             vmap should be the same or different across batches. If 'different',
2025-08-26T19:47:09.9292610Z             the randomness for each batch will be different. If 'same', the
2025-08-26T19:47:09.9292740Z             randomness will be the same across batches. If 'error', any calls to
2025-08-26T19:47:09.9292870Z             random functions will error. Default: 'error'. WARNING: this flag
2025-08-26T19:47:09.9292990Z             only applies to random PyTorch operations and does not apply to
2025-08-26T19:47:09.9293070Z             Python's random module or numpy randomness.
2025-08-26T19:47:09.9293210Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-08-26T19:47:09.9293440Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-08-26T19:47:09.9293620Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-08-26T19:47:09.9293830Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-08-26T19:47:09.9293880Z     
2025-08-26T19:47:09.9293920Z     Returns:
2025-08-26T19:47:09.9294040Z         Returns a new "batched" function. It takes the same inputs as
2025-08-26T19:47:09.9294150Z         ``func``, except each input has an extra dimension at the index
2025-08-26T19:47:09.9294270Z         specified by ``in_dims``. It takes returns the same outputs as
2025-08-26T19:47:09.9294390Z         ``func``, except each output has an extra dimension at the index
2025-08-26T19:47:09.9294450Z         specified by ``out_dims``.
2025-08-26T19:47:09.9294480Z     
2025-08-26T19:47:09.9294530Z     .. warning:
2025-08-26T19:47:09.9294650Z         :func:`vmap` works best with functional-style code. Please do not
2025-08-26T19:47:09.9294760Z         perform any side-effects in ``func``, with the exception of
2025-08-26T19:47:09.9294910Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-08-26T19:47:09.9295040Z         Python data structures and assigning values to variables not captured
2025-08-26T19:47:09.9295130Z         in ``func``.
2025-08-26T19:47:09.9295170Z     
2025-08-26T19:47:09.9295320Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-08-26T19:47:09.9295450Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-08-26T19:47:09.9295580Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-08-26T19:47:09.9295620Z     
2025-08-26T19:47:09.9295680Z         >>> torch.dot  # [D], [D] -> []
2025-08-26T19:47:09.9295800Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-08-26T19:47:09.9295880Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-26T19:47:09.9295930Z         >>> batched_dot(x, y)
2025-08-26T19:47:09.9295970Z     
2025-08-26T19:47:09.9296120Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-08-26T19:47:09.9296170Z     model authoring experience.
2025-08-26T19:47:09.9296220Z     
2025-08-26T19:47:09.9296280Z         >>> batch_size, feature_size = 3, 5
2025-08-26T19:47:09.9296390Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-26T19:47:09.9296430Z         >>>
2025-08-26T19:47:09.9296490Z         >>> def model(feature_vec):
2025-08-26T19:47:09.9296570Z         >>> # Very simple linear model with activation
2025-08-26T19:47:09.9296650Z         >>>     return feature_vec.dot(weights).relu()
2025-08-26T19:47:09.9296690Z         >>>
2025-08-26T19:47:09.9296780Z         >>> examples = torch.randn(batch_size, feature_size)
2025-08-26T19:47:09.9296850Z         >>> result = torch.vmap(model)(examples)
2025-08-26T19:47:09.9296890Z     
2025-08-26T19:47:09.9297040Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-08-26T19:47:09.9297180Z     or impossible to batch. One example is higher-order gradient computation.
2025-08-26T19:47:09.9297320Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-08-26T19:47:09.9297460Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-08-26T19:47:09.9297610Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-08-26T19:47:09.9297750Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-08-26T19:47:09.9297810Z     call to ``autograd.grad``.
2025-08-26T19:47:09.9297850Z     
2025-08-26T19:47:09.9297900Z         >>> # Setup
2025-08-26T19:47:09.9297940Z         >>> N = 5
2025-08-26T19:47:09.9297990Z         >>> f = lambda x: x**2
2025-08-26T19:47:09.9298060Z         >>> x = torch.randn(N, requires_grad=True)
2025-08-26T19:47:09.9298110Z         >>> y = f(x)
2025-08-26T19:47:09.9298200Z         >>> I_N = torch.eye(N)
2025-08-26T19:47:09.9298250Z         >>>
2025-08-26T19:47:09.9298310Z         >>> # Sequential approach
2025-08-26T19:47:09.9298440Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-08-26T19:47:09.9298530Z         >>>                  for v in I_N.unbind()]
2025-08-26T19:47:09.9298600Z         >>> jacobian = torch.stack(jacobian_rows)
2025-08-26T19:47:09.9298650Z         >>>
2025-08-26T19:47:09.9298720Z         >>> # vectorized gradient computation
2025-08-26T19:47:09.9298760Z         >>> def get_vjp(v):
2025-08-26T19:47:09.9298840Z         >>>     return torch.autograd.grad(y, x, v)
2025-08-26T19:47:09.9298900Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-08-26T19:47:09.9298940Z     
2025-08-26T19:47:09.9299100Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-08-26T19:47:09.9299140Z     
2025-08-26T19:47:09.9299200Z         >>> torch.dot  # [D], [D] -> []
2025-08-26T19:47:09.9299290Z         >>> batched_dot = torch.vmap(
2025-08-26T19:47:09.9299350Z         ...     torch.vmap(torch.dot)
2025-08-26T19:47:09.9299420Z         ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-08-26T19:47:09.9299510Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-08-26T19:47:09.9299590Z         >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-08-26T19:47:09.9299660Z     
2025-08-26T19:47:09.9299800Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-08-26T19:47:09.9299890Z     the dimension that each inputs are batched along as
2025-08-26T19:47:09.9299940Z     
2025-08-26T19:47:09.9300010Z         >>> torch.dot  # [N], [N] -> []
2025-08-26T19:47:09.9300150Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-08-26T19:47:09.9300230Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-26T19:47:09.9300280Z         >>> batched_dot(
2025-08-26T19:47:09.9300320Z         ...     x, y
2025-08-26T19:47:09.9300440Z         ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-08-26T19:47:09.9300480Z     
2025-08-26T19:47:09.9300640Z     If there are multiple inputs each of which is batched along different dimensions,
2025-08-26T19:47:09.9300760Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-08-26T19:47:09.9300800Z     
2025-08-26T19:47:09.9300860Z         >>> torch.dot  # [D], [D] -> []
2025-08-26T19:47:09.9301000Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-08-26T19:47:09.9301080Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-26T19:47:09.9301130Z         >>> batched_dot(
2025-08-26T19:47:09.9301170Z         ...     x, y
2025-08-26T19:47:09.9301290Z         ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-08-26T19:47:09.9301330Z     
2025-08-26T19:47:09.9301470Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-08-26T19:47:09.9301530Z     matching the shape of the input:
2025-08-26T19:47:09.9301570Z     
2025-08-26T19:47:09.9301660Z         >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-08-26T19:47:09.9301730Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-26T19:47:09.9301790Z         >>> input = {"x": x, "y": y}
2025-08-26T19:47:09.9301900Z         >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-08-26T19:47:09.9301950Z         >>> batched_dot(input)
2025-08-26T19:47:09.9301990Z     
2025-08-26T19:47:09.9302160Z     By default, the output is batched along the first dimension. However, it can be batched
2025-08-26T19:47:09.9302240Z     along any dimension by using ``out_dims``
2025-08-26T19:47:09.9302270Z     
2025-08-26T19:47:09.9302320Z         >>> f = lambda x: x**2
2025-08-26T19:47:09.9302380Z         >>> x = torch.randn(2, 5)
2025-08-26T19:47:09.9302450Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-08-26T19:47:09.9302510Z         >>> batched_pow(x)  # [5, 2]
2025-08-26T19:47:09.9302590Z     
2025-08-26T19:47:09.9302770Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-08-26T19:47:09.9302820Z     accept kwargs
2025-08-26T19:47:09.9302890Z     
2025-08-26T19:47:09.9302940Z         >>> x = torch.randn([2, 5])
2025-08-26T19:47:09.9303000Z         >>> def fn(x, scale=4.):
2025-08-26T19:47:09.9303050Z         >>>   return x * scale
2025-08-26T19:47:09.9303090Z         >>>
2025-08-26T19:47:09.9303150Z         >>> batched_pow = torch.vmap(fn)
2025-08-26T19:47:09.9303240Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-08-26T19:47:09.9303370Z         >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-08-26T19:47:09.9303420Z     
2025-08-26T19:47:09.9303460Z     .. note::
2025-08-26T19:47:09.9303600Z         vmap does not provide general autobatching or handle variable-length
2025-08-26T19:47:09.9303650Z         sequences out of the box.
2025-08-26T19:47:09.9303690Z     
2025-08-26T19:47:09.9303850Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9303890Z     
2025-08-26T19:47:09.9303940Z       warnings.warn(msg)
2025-08-26T19:47:09.9303980Z     
2025-08-26T19:47:09.9304120Z --- Parse Warning: 24 / 146 ---
2025-08-26T19:47:09.9304780Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=grad in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_functorch/apis.py line=306.
2025-08-26T19:47:09.9304940Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9305080Z     ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-08-26T19:47:09.9305210Z         input(s) specified by ``argnums``. This operator can be nested to
2025-08-26T19:47:09.9305270Z         compute higher-order gradients.
2025-08-26T19:47:09.9305310Z     
2025-08-26T19:47:09.9305350Z         Args:
2025-08-26T19:47:09.9305480Z             func (Callable): A Python function that takes one or more arguments.
2025-08-26T19:47:09.9305640Z                 Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-08-26T19:47:09.9305800Z                 function can return a tuple of single-element Tensor and other auxiliary objects:
2025-08-26T19:47:09.9305850Z                 ``(output, aux)``.
2025-08-26T19:47:09.9306020Z             argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-08-26T19:47:09.9306150Z                 ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-08-26T19:47:09.9306280Z             has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-08-26T19:47:09.9306380Z                 auxiliary objects: ``(output, aux)``. Default: False.
2025-08-26T19:47:09.9306420Z     
2025-08-26T19:47:09.9306470Z         Returns:
2025-08-26T19:47:09.9306640Z             Function to compute gradients with respect to its inputs. By default, the output of
2025-08-26T19:47:09.9306780Z             the function is the gradient tensor(s) with respect to the first argument.
2025-08-26T19:47:09.9306950Z             If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-08-26T19:47:09.9307100Z             is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-08-26T19:47:09.9307190Z             respect to each ``argnums`` value is returned.
2025-08-26T19:47:09.9307230Z     
2025-08-26T19:47:09.9307290Z         Example of using ``grad``:
2025-08-26T19:47:09.9307330Z     
2025-08-26T19:47:09.9307380Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9307450Z             >>> from torch.func import grad
2025-08-26T19:47:09.9307500Z             >>> x = torch.randn([])
2025-08-26T19:47:09.9307580Z             >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-08-26T19:47:09.9307690Z             >>> assert torch.allclose(cos_x, x.cos())
2025-08-26T19:47:09.9307730Z             >>>
2025-08-26T19:47:09.9307800Z             >>> # Second-order gradients
2025-08-26T19:47:09.9307900Z             >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-08-26T19:47:09.9307990Z             >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-08-26T19:47:09.9308030Z     
2025-08-26T19:47:09.9308180Z         When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-08-26T19:47:09.9308220Z     
2025-08-26T19:47:09.9308280Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9308350Z             >>> from torch.func import grad, vmap
2025-08-26T19:47:09.9308420Z             >>> batch_size, feature_size = 3, 5
2025-08-26T19:47:09.9308460Z             >>>
2025-08-26T19:47:09.9308520Z             >>> def model(weights, feature_vec):
2025-08-26T19:47:09.9308600Z             >>> # Very simple linear model with activation
2025-08-26T19:47:09.9308670Z             >>>     assert feature_vec.dim() == 1
2025-08-26T19:47:09.9308760Z             >>>     return feature_vec.dot(weights).relu()
2025-08-26T19:47:09.9308800Z             >>>
2025-08-26T19:47:09.9308880Z             >>> def compute_loss(weights, example, target):
2025-08-26T19:47:09.9308950Z             >>>     y = model(weights, example)
2025-08-26T19:47:09.9309060Z             >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-08-26T19:47:09.9309100Z             >>>
2025-08-26T19:47:09.9309210Z             >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-26T19:47:09.9309300Z             >>> examples = torch.randn(batch_size, feature_size)
2025-08-26T19:47:09.9309380Z             >>> targets = torch.randn(batch_size)
2025-08-26T19:47:09.9309450Z             >>> inputs = (weights, examples, targets)
2025-08-26T19:47:09.9309590Z             >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-08-26T19:47:09.9309640Z             ...     *inputs
2025-08-26T19:47:09.9309680Z             ... )
2025-08-26T19:47:09.9309720Z     
2025-08-26T19:47:09.9309830Z         Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-08-26T19:47:09.9309870Z     
2025-08-26T19:47:09.9309930Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9309990Z             >>> from torch.func import grad
2025-08-26T19:47:09.9310050Z             >>> def my_loss_func(y, y_pred):
2025-08-26T19:47:09.9310140Z             >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-08-26T19:47:09.9310210Z             >>>    loss = loss_per_sample.mean()
2025-08-26T19:47:09.9310280Z             >>>    return loss, (y_pred, loss_per_sample)
2025-08-26T19:47:09.9310320Z             >>>
2025-08-26T19:47:09.9310420Z             >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-08-26T19:47:09.9310470Z             >>> y_true = torch.rand(4)
2025-08-26T19:47:09.9310550Z             >>> y_preds = torch.rand(4, requires_grad=True)
2025-08-26T19:47:09.9310610Z             >>> out = fn(y_true, y_preds)
2025-08-26T19:47:09.9310760Z             >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-08-26T19:47:09.9310800Z     
2025-08-26T19:47:09.9310850Z         .. note::
2025-08-26T19:47:09.9310960Z             Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-08-26T19:47:09.9311000Z     
2025-08-26T19:47:09.9311090Z             Case 1: Using ``torch.no_grad`` inside a function:
2025-08-26T19:47:09.9311130Z     
2025-08-26T19:47:09.9311180Z                 >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9311230Z                 >>> def f(x):
2025-08-26T19:47:09.9311290Z                 >>>     with torch.no_grad():
2025-08-26T19:47:09.9311340Z                 >>>         c = x ** 2
2025-08-26T19:47:09.9311400Z                 >>>     return x - c
2025-08-26T19:47:09.9311440Z     
2025-08-26T19:47:09.9311560Z             In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-08-26T19:47:09.9311600Z     
2025-08-26T19:47:09.9311780Z             Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-08-26T19:47:09.9311820Z     
2025-08-26T19:47:09.9311880Z                 >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9311940Z                 >>> with torch.no_grad():
2025-08-26T19:47:09.9312020Z                 >>>     grad(f)(x)
2025-08-26T19:47:09.9312060Z     
2025-08-26T19:47:09.9312200Z             In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-08-26T19:47:09.9312330Z             outer one. This is because ``grad`` is a "function transform": its result
2025-08-26T19:47:09.9312460Z             should not depend on the result of a context manager outside of ``f``.
2025-08-26T19:47:09.9312510Z     
2025-08-26T19:47:09.9312550Z         
2025-08-26T19:47:09.9312690Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9312740Z     
2025-08-26T19:47:09.9312790Z       warnings.warn(msg)
2025-08-26T19:47:09.9312830Z     
2025-08-26T19:47:09.9312930Z --- Parse Warning: 25 / 146 ---
2025-08-26T19:47:09.9313610Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=print_assert_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=286.
2025-08-26T19:47:09.9313810Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9313860Z     
2025-08-26T19:47:09.9313990Z     Test if two objects are equal, and print an error message if test fails.
2025-08-26T19:47:09.9314030Z     
2025-08-26T19:47:09.9314120Z     The test is performed with ``actual == desired``.
2025-08-26T19:47:09.9314160Z     
2025-08-26T19:47:09.9314200Z     Parameters
2025-08-26T19:47:09.9314240Z     ----------
2025-08-26T19:47:09.9314290Z     test_string : str
2025-08-26T19:47:09.9314360Z         The message supplied to AssertionError.
2025-08-26T19:47:09.9314410Z     actual : object
2025-08-26T19:47:09.9314500Z         The object to test for equality against `desired`.
2025-08-26T19:47:09.9314550Z     desired : object
2025-08-26T19:47:09.9314600Z         The expected result.
2025-08-26T19:47:09.9314640Z     
2025-08-26T19:47:09.9314680Z     Examples
2025-08-26T19:47:09.9314730Z     --------
2025-08-26T19:47:09.9314790Z     >>> np.testing.print_assert_equal(
2025-08-26T19:47:09.9314860Z     ...     "Test XYZ of func xyz", [0, 1], [0, 1]
2025-08-26T19:47:09.9314910Z     ... )  # doctest: +SKIP
2025-08-26T19:47:09.9314970Z     >>> np.testing.print_assert_equal(
2025-08-26T19:47:09.9315040Z     ...     "Test XYZ of func xyz", [0, 1], [0, 2]
2025-08-26T19:47:09.9315090Z     ... )  # doctest: +SKIP
2025-08-26T19:47:09.9315150Z     Traceback (most recent call last):
2025-08-26T19:47:09.9315190Z     ...
2025-08-26T19:47:09.9315270Z     AssertionError: Test XYZ of func xyz failed
2025-08-26T19:47:09.9315310Z     ACTUAL:
2025-08-26T19:47:09.9315350Z     [0, 1]
2025-08-26T19:47:09.9315390Z     DESIRED:
2025-08-26T19:47:09.9315430Z     [0, 2]
2025-08-26T19:47:09.9315470Z     
2025-08-26T19:47:09.9315510Z     
2025-08-26T19:47:09.9315660Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9315700Z     
2025-08-26T19:47:09.9315760Z       warnings.warn(msg)
2025-08-26T19:47:09.9315800Z     
2025-08-26T19:47:09.9315900Z --- Parse Warning: 26 / 146 ---
2025-08-26T19:47:09.9316570Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=331.
2025-08-26T19:47:09.9316720Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9316760Z     
2025-08-26T19:47:09.9316890Z     Raises an AssertionError if two items are not equal up to desired
2025-08-26T19:47:09.9316970Z     precision.
2025-08-26T19:47:09.9317020Z     
2025-08-26T19:47:09.9317130Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-08-26T19:47:09.9317240Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-08-26T19:47:09.9317380Z               instead of this function for more consistent floating point
2025-08-26T19:47:09.9317430Z               comparisons.
2025-08-26T19:47:09.9317470Z     
2025-08-26T19:47:09.9317600Z     The test verifies that the elements of `actual` and `desired` satisfy.
2025-08-26T19:47:09.9317640Z     
2025-08-26T19:47:09.9317730Z         ``abs(desired-actual) < float64(1.5 * 10**(-decimal))``
2025-08-26T19:47:09.9317780Z     
2025-08-26T19:47:09.9317910Z     That is a looser test than originally documented, but agrees with what the
2025-08-26T19:47:09.9318050Z     actual implementation in `assert_array_almost_equal` did up to rounding
2025-08-26T19:47:09.9318190Z     vagaries. An exception is raised at conflicting values. For ndarrays this
2025-08-26T19:47:09.9318270Z     delegates to assert_array_almost_equal
2025-08-26T19:47:09.9318310Z     
2025-08-26T19:47:09.9318350Z     Parameters
2025-08-26T19:47:09.9318400Z     ----------
2025-08-26T19:47:09.9318450Z     actual : array_like
2025-08-26T19:47:09.9318500Z         The object to check.
2025-08-26T19:47:09.9318580Z     desired : array_like
2025-08-26T19:47:09.9318630Z         The expected object.
2025-08-26T19:47:09.9318680Z     decimal : int, optional
2025-08-26T19:47:09.9318750Z         Desired precision, default is 7.
2025-08-26T19:47:09.9318800Z     err_msg : str, optional
2025-08-26T19:47:09.9318890Z         The error message to be printed in case of failure.
2025-08-26T19:47:09.9318940Z     verbose : bool, optional
2025-08-26T19:47:09.9319070Z         If True, the conflicting values are appended to the error message.
2025-08-26T19:47:09.9319110Z     
2025-08-26T19:47:09.9319150Z     Raises
2025-08-26T19:47:09.9319190Z     ------
2025-08-26T19:47:09.9319240Z     AssertionError
2025-08-26T19:47:09.9319360Z       If actual and desired are not equal up to specified precision.
2025-08-26T19:47:09.9319400Z     
2025-08-26T19:47:09.9319440Z     See Also
2025-08-26T19:47:09.9319490Z     --------
2025-08-26T19:47:09.9319630Z     assert_allclose: Compare two array_like objects for equality with desired
2025-08-26T19:47:09.9319710Z                      relative and/or absolute precision.
2025-08-26T19:47:09.9319840Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-26T19:47:09.9319880Z     
2025-08-26T19:47:09.9319930Z     Examples
2025-08-26T19:47:09.9319970Z     --------
2025-08-26T19:47:09.9320070Z     >>> from torch._numpy.testing import assert_almost_equal
2025-08-26T19:47:09.9320150Z     >>> assert_almost_equal(2.3333333333333, 2.33333334)
2025-08-26T19:47:09.9320260Z     >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10)
2025-08-26T19:47:09.9320320Z     Traceback (most recent call last):
2025-08-26T19:47:09.9320360Z         ...
2025-08-26T19:47:09.9320420Z     AssertionError:
2025-08-26T19:47:09.9320490Z     Arrays are not almost equal to 10 decimals
2025-08-26T19:47:09.9320550Z      ACTUAL: 2.3333333333333
2025-08-26T19:47:09.9320600Z      DESIRED: 2.33333334
2025-08-26T19:47:09.9320640Z     
2025-08-26T19:47:09.9320690Z     >>> assert_almost_equal(
2025-08-26T19:47:09.9320820Z     ...     np.array([1.0, 2.3333333333333]), np.array([1.0, 2.33333334]), decimal=9
2025-08-26T19:47:09.9320860Z     ... )
2025-08-26T19:47:09.9320920Z     Traceback (most recent call last):
2025-08-26T19:47:09.9320960Z         ...
2025-08-26T19:47:09.9321010Z     AssertionError:
2025-08-26T19:47:09.9321080Z     Arrays are not almost equal to 9 decimals
2025-08-26T19:47:09.9321120Z     <BLANKLINE>
2025-08-26T19:47:09.9321180Z     Mismatched elements: 1 / 2 (50%)
2025-08-26T19:47:09.9321250Z     Max absolute difference: 6.666699636781459e-09
2025-08-26T19:47:09.9321330Z     Max relative difference: 2.8571569790287484e-09
2025-08-26T19:47:09.9321460Z      x: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-08-26T19:47:09.9321550Z      y: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-08-26T19:47:09.9321590Z     
2025-08-26T19:47:09.9321630Z     
2025-08-26T19:47:09.9321810Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9321850Z     
2025-08-26T19:47:09.9321900Z       warnings.warn(msg)
2025-08-26T19:47:09.9321940Z     
2025-08-26T19:47:09.9322040Z --- Parse Warning: 27 / 146 ---
2025-08-26T19:47:09.9322730Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_approx_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=457.
2025-08-26T19:47:09.9322880Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9322920Z     
2025-08-26T19:47:09.9323060Z     Raises an AssertionError if two items are not equal up to significant
2025-08-26T19:47:09.9323100Z     digits.
2025-08-26T19:47:09.9323150Z     
2025-08-26T19:47:09.9323250Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-08-26T19:47:09.9323360Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-08-26T19:47:09.9323500Z               instead of this function for more consistent floating point
2025-08-26T19:47:09.9323550Z               comparisons.
2025-08-26T19:47:09.9323590Z     
2025-08-26T19:47:09.9323710Z     Given two numbers, check that they are approximately equal.
2025-08-26T19:47:09.9323830Z     Approximately equal is defined as the number of significant digits
2025-08-26T19:47:09.9323880Z     that agree.
2025-08-26T19:47:09.9323920Z     
2025-08-26T19:47:09.9323960Z     Parameters
2025-08-26T19:47:09.9324000Z     ----------
2025-08-26T19:47:09.9324050Z     actual : scalar
2025-08-26T19:47:09.9324100Z         The object to check.
2025-08-26T19:47:09.9324150Z     desired : scalar
2025-08-26T19:47:09.9324200Z         The expected object.
2025-08-26T19:47:09.9324260Z     significant : int, optional
2025-08-26T19:47:09.9324320Z         Desired precision, default is 7.
2025-08-26T19:47:09.9324370Z     err_msg : str, optional
2025-08-26T19:47:09.9324470Z         The error message to be printed in case of failure.
2025-08-26T19:47:09.9324520Z     verbose : bool, optional
2025-08-26T19:47:09.9324650Z         If True, the conflicting values are appended to the error message.
2025-08-26T19:47:09.9324690Z     
2025-08-26T19:47:09.9324730Z     Raises
2025-08-26T19:47:09.9324780Z     ------
2025-08-26T19:47:09.9324820Z     AssertionError
2025-08-26T19:47:09.9324940Z       If actual and desired are not equal up to specified precision.
2025-08-26T19:47:09.9324980Z     
2025-08-26T19:47:09.9325030Z     See Also
2025-08-26T19:47:09.9325070Z     --------
2025-08-26T19:47:09.9325220Z     assert_allclose: Compare two array_like objects for equality with desired
2025-08-26T19:47:09.9325300Z                      relative and/or absolute precision.
2025-08-26T19:47:09.9325440Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-26T19:47:09.9325700Z     
2025-08-26T19:47:09.9325820Z     Examples
2025-08-26T19:47:09.9325950Z     --------
2025-08-26T19:47:09.9326100Z     >>> np.testing.assert_approx_equal(
2025-08-26T19:47:09.9326310Z     ...     0.12345677777777e-20, 0.1234567e-20
2025-08-26T19:47:09.9326510Z     ... )  # doctest: +SKIP
2025-08-26T19:47:09.9326680Z     >>> np.testing.assert_approx_equal(
2025-08-26T19:47:09.9326870Z     ...     0.12345670e-20,
2025-08-26T19:47:09.9327040Z     ...     0.12345671e-20,  # doctest: +SKIP
2025-08-26T19:47:09.9327230Z     ...     significant=8,
2025-08-26T19:47:09.9327380Z     ... )
2025-08-26T19:47:09.9327510Z     >>> np.testing.assert_approx_equal(
2025-08-26T19:47:09.9327690Z     ...     0.12345670e-20,
2025-08-26T19:47:09.9327860Z     ...     0.12345672e-20,  # doctest: +SKIP
2025-08-26T19:47:09.9328050Z     ...     significant=8,
2025-08-26T19:47:09.9328250Z     ... )
2025-08-26T19:47:09.9328390Z     Traceback (most recent call last):
2025-08-26T19:47:09.9328580Z         ...
2025-08-26T19:47:09.9328700Z     AssertionError:
2025-08-26T19:47:09.9328900Z     Items are not equal to 8 significant digits:
2025-08-26T19:47:09.9329100Z      ACTUAL: 1.234567e-21
2025-08-26T19:47:09.9329250Z      DESIRED: 1.2345672e-21
2025-08-26T19:47:09.9329400Z     
2025-08-26T19:47:09.9329570Z     the evaluated condition that raises the exception is
2025-08-26T19:47:09.9329790Z     
2025-08-26T19:47:09.9329970Z     >>> abs(0.12345670e-20 / 1e-21 - 0.12345672e-20 / 1e-21) >= 10 ** -(8 - 1)
2025-08-26T19:47:09.9330210Z     True
2025-08-26T19:47:09.9330310Z     
2025-08-26T19:47:09.9330410Z     
2025-08-26T19:47:09.9330630Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9330910Z     
2025-08-26T19:47:09.9331030Z       warnings.warn(msg)
2025-08-26T19:47:09.9331180Z     
2025-08-26T19:47:09.9331350Z --- Parse Warning: 28 / 146 ---
2025-08-26T19:47:09.9336970Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=744.
2025-08-26T19:47:09.9338060Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9338340Z     
2025-08-26T19:47:09.9338540Z     Raises an AssertionError if two array_like objects are not equal.
2025-08-26T19:47:09.9338780Z     
2025-08-26T19:47:09.9338980Z     Given two array_like objects, check that the shape is equal and all
2025-08-26T19:47:09.9339330Z     elements of these objects are equal (but see the Notes for the special
2025-08-26T19:47:09.9339670Z     handling of a scalar). An exception is raised at shape mismatch or
2025-08-26T19:47:09.9340010Z     conflicting values. In contrast to the standard usage in numpy, NaNs
2025-08-26T19:47:09.9340350Z     are compared like numbers, no assertion is raised if both objects have
2025-08-26T19:47:09.9340620Z     NaNs in the same positions.
2025-08-26T19:47:09.9340800Z     
2025-08-26T19:47:09.9341010Z     The usual caution for verifying equality with floating point numbers is
2025-08-26T19:47:09.9341270Z     advised.
2025-08-26T19:47:09.9341380Z     
2025-08-26T19:47:09.9341490Z     Parameters
2025-08-26T19:47:09.9341620Z     ----------
2025-08-26T19:47:09.9341740Z     x : array_like
2025-08-26T19:47:09.9341890Z         The actual object to check.
2025-08-26T19:47:09.9342060Z     y : array_like
2025-08-26T19:47:09.9342210Z         The desired, expected object.
2025-08-26T19:47:09.9342400Z     err_msg : str, optional
2025-08-26T19:47:09.9342600Z         The error message to be printed in case of failure.
2025-08-26T19:47:09.9342830Z     verbose : bool, optional
2025-08-26T19:47:09.9343070Z         If True, the conflicting values are appended to the error message.
2025-08-26T19:47:09.9343330Z     strict : bool, optional
2025-08-26T19:47:09.9343560Z         If True, raise an AssertionError when either the shape or the data
2025-08-26T19:47:09.9343870Z         type of the array_like objects does not match. The special
2025-08-26T19:47:09.9344180Z         handling for scalars mentioned in the Notes section is disabled.
2025-08-26T19:47:09.9344420Z     
2025-08-26T19:47:09.9344530Z     Raises
2025-08-26T19:47:09.9344640Z     ------
2025-08-26T19:47:09.9344760Z     AssertionError
2025-08-26T19:47:09.9344940Z         If actual and desired objects are not equal.
2025-08-26T19:47:09.9345140Z     
2025-08-26T19:47:09.9345240Z     See Also
2025-08-26T19:47:09.9345360Z     --------
2025-08-26T19:47:09.9345590Z     assert_allclose: Compare two array_like objects for equality with desired
2025-08-26T19:47:09.9345890Z                      relative and/or absolute precision.
2025-08-26T19:47:09.9346170Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-26T19:47:09.9346500Z     
2025-08-26T19:47:09.9346610Z     Notes
2025-08-26T19:47:09.9346720Z     -----
2025-08-26T19:47:09.9346910Z     When one of `x` and `y` is a scalar and the other is array_like, the
2025-08-26T19:47:09.9347280Z     function checks that each element of the array_like object is equal to
2025-08-26T19:47:09.9347640Z     the scalar. This behaviour can be disabled with the `strict` parameter.
2025-08-26T19:47:09.9347890Z     
2025-08-26T19:47:09.9348000Z     Examples
2025-08-26T19:47:09.9348120Z     --------
2025-08-26T19:47:09.9348280Z     The first assert does not raise an exception:
2025-08-26T19:47:09.9348470Z     
2025-08-26T19:47:09.9348600Z     >>> np.testing.assert_array_equal(
2025-08-26T19:47:09.9348830Z     ...     [1.0, 2.33333, np.nan], [np.exp(0), 2.33333, np.nan]
2025-08-26T19:47:09.9349040Z     ... )
2025-08-26T19:47:09.9349150Z     
2025-08-26T19:47:09.9349360Z     Use `assert_allclose` or one of the nulp (number of floating point values)
2025-08-26T19:47:09.9349640Z     functions for these cases instead:
2025-08-26T19:47:09.9349820Z     
2025-08-26T19:47:09.9349950Z     >>> np.testing.assert_allclose(
2025-08-26T19:47:09.9350210Z     ...     [1.0, np.pi, np.nan], [1, np.sqrt(np.pi) ** 2, np.nan], rtol=1e-10, atol=0
2025-08-26T19:47:09.9350450Z     ... )
2025-08-26T19:47:09.9350600Z     
2025-08-26T19:47:09.9350800Z     As mentioned in the Notes section, `assert_array_equal` has special
2025-08-26T19:47:09.9351140Z     handling for scalars. Here the test checks that each value in `x` is 3:
2025-08-26T19:47:09.9351390Z     
2025-08-26T19:47:09.9351520Z     >>> x = np.full((2, 5), fill_value=3)
2025-08-26T19:47:09.9351730Z     >>> np.testing.assert_array_equal(x, 3)
2025-08-26T19:47:09.9351910Z     
2025-08-26T19:47:09.9352110Z     Use `strict` to raise an AssertionError when comparing a scalar with an
2025-08-26T19:47:09.9352360Z     array:
2025-08-26T19:47:09.9352470Z     
2025-08-26T19:47:09.9352630Z     >>> np.testing.assert_array_equal(x, 3, strict=True)
2025-08-26T19:47:09.9352860Z     Traceback (most recent call last):
2025-08-26T19:47:09.9353040Z         ...
2025-08-26T19:47:09.9353160Z     AssertionError:
2025-08-26T19:47:09.9353300Z     Arrays are not equal
2025-08-26T19:47:09.9353450Z     <BLANKLINE>
2025-08-26T19:47:09.9353590Z     (shapes (2, 5), () mismatch)
2025-08-26T19:47:09.9353770Z      x: torch.ndarray([[3, 3, 3, 3, 3],
2025-08-26T19:47:09.9353950Z             [3, 3, 3, 3, 3]])
2025-08-26T19:47:09.9354110Z      y: torch.ndarray(3)
2025-08-26T19:47:09.9354260Z     
2025-08-26T19:47:09.9354460Z     The `strict` parameter also ensures that the array data types match:
2025-08-26T19:47:09.9354700Z     
2025-08-26T19:47:09.9354820Z     >>> x = np.array([2, 2, 2])
2025-08-26T19:47:09.9355020Z     >>> y = np.array([2.0, 2.0, 2.0], dtype=np.float32)
2025-08-26T19:47:09.9355270Z     >>> np.testing.assert_array_equal(x, y, strict=True)
2025-08-26T19:47:09.9355490Z     Traceback (most recent call last):
2025-08-26T19:47:09.9355670Z         ...
2025-08-26T19:47:09.9355790Z     AssertionError:
2025-08-26T19:47:09.9355930Z     Arrays are not equal
2025-08-26T19:47:09.9356060Z     <BLANKLINE>
2025-08-26T19:47:09.9356230Z     (dtypes dtype("int64"), dtype("float32") mismatch)
2025-08-26T19:47:09.9356440Z      x: torch.ndarray([2, 2, 2])
2025-08-26T19:47:09.9356610Z      y: torch.ndarray([2., 2., 2.])
2025-08-26T19:47:09.9356780Z     
2025-08-26T19:47:09.9356990Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9357250Z     
2025-08-26T19:47:09.9357360Z       warnings.warn(msg)
2025-08-26T19:47:09.9357500Z     
2025-08-26T19:47:09.9357720Z --- Parse Warning: 29 / 146 ---
2025-08-26T19:47:09.9358550Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=851.
2025-08-26T19:47:09.9359520Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9359790Z     
2025-08-26T19:47:09.9359990Z     Raises an AssertionError if two objects are not equal up to desired
2025-08-26T19:47:09.9360260Z     precision.
2025-08-26T19:47:09.9360390Z     
2025-08-26T19:47:09.9360560Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-08-26T19:47:09.9360840Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-08-26T19:47:09.9361130Z               instead of this function for more consistent floating point
2025-08-26T19:47:09.9361370Z               comparisons.
2025-08-26T19:47:09.9361520Z     
2025-08-26T19:47:09.9361720Z     The test verifies identical shapes and that the elements of ``actual`` and
2025-08-26T19:47:09.9361980Z     ``desired`` satisfy.
2025-08-26T19:47:09.9362120Z     
2025-08-26T19:47:09.9362260Z         ``abs(desired-actual) < 1.5 * 10**(-decimal)``
2025-08-26T19:47:09.9362450Z     
2025-08-26T19:47:09.9362650Z     That is a looser test than originally documented, but agrees with what the
2025-08-26T19:47:09.9363000Z     actual implementation did up to rounding vagaries. An exception is raised
2025-08-26T19:47:09.9363360Z     at shape mismatch or conflicting values. In contrast to the standard usage
2025-08-26T19:47:09.9363730Z     in numpy, NaNs are compared like numbers, no assertion is raised if both
2025-08-26T19:47:09.9364010Z     objects have NaNs in the same positions.
2025-08-26T19:47:09.9364200Z     
2025-08-26T19:47:09.9364300Z     Parameters
2025-08-26T19:47:09.9364430Z     ----------
2025-08-26T19:47:09.9364550Z     x : array_like
2025-08-26T19:47:09.9364690Z         The actual object to check.
2025-08-26T19:47:09.9364860Z     y : array_like
2025-08-26T19:47:09.9365000Z         The desired, expected object.
2025-08-26T19:47:09.9365190Z     decimal : int, optional
2025-08-26T19:47:09.9365360Z         Desired precision, default is 6.
2025-08-26T19:47:09.9365540Z     err_msg : str, optional
2025-08-26T19:47:09.9365740Z       The error message to be printed in case of failure.
2025-08-26T19:47:09.9365950Z     verbose : bool, optional
2025-08-26T19:47:09.9366190Z         If True, the conflicting values are appended to the error message.
2025-08-26T19:47:09.9366420Z     
2025-08-26T19:47:09.9366520Z     Raises
2025-08-26T19:47:09.9366630Z     ------
2025-08-26T19:47:09.9366740Z     AssertionError
2025-08-26T19:47:09.9366950Z         If actual and desired are not equal up to specified precision.
2025-08-26T19:47:09.9367180Z     
2025-08-26T19:47:09.9367280Z     See Also
2025-08-26T19:47:09.9367390Z     --------
2025-08-26T19:47:09.9367600Z     assert_allclose: Compare two array_like objects for equality with desired
2025-08-26T19:47:09.9367890Z                      relative and/or absolute precision.
2025-08-26T19:47:09.9368160Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-26T19:47:09.9368400Z     
2025-08-26T19:47:09.9368500Z     Examples
2025-08-26T19:47:09.9368610Z     --------
2025-08-26T19:47:09.9368770Z     the first assert does not raise an exception
2025-08-26T19:47:09.9368950Z     
2025-08-26T19:47:09.9369170Z     >>> np.testing.assert_array_almost_equal([1.0, 2.333, np.nan], [1.0, 2.333, np.nan])
2025-08-26T19:47:09.9369430Z     
2025-08-26T19:47:09.9369560Z     >>> np.testing.assert_array_almost_equal(
2025-08-26T19:47:09.9369800Z     ...     [1.0, 2.33333, np.nan], [1.0, 2.33339, np.nan], decimal=5
2025-08-26T19:47:09.9370000Z     ... )
2025-08-26T19:47:09.9370130Z     Traceback (most recent call last):
2025-08-26T19:47:09.9370300Z         ...
2025-08-26T19:47:09.9370410Z     AssertionError:
2025-08-26T19:47:09.9370570Z     Arrays are not almost equal to 5 decimals
2025-08-26T19:47:09.9370750Z     <BLANKLINE>
2025-08-26T19:47:09.9370890Z     Mismatched elements: 1 / 3 (33.3%)
2025-08-26T19:47:09.9371100Z     Max absolute difference: 5.999999999994898e-05
2025-08-26T19:47:09.9371320Z     Max relative difference: 2.5713661239633743e-05
2025-08-26T19:47:09.9371620Z      x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-08-26T19:47:09.9371890Z      y: torch.ndarray([1.0000, 2.3334,    nan], dtype=float64)
2025-08-26T19:47:09.9372130Z     
2025-08-26T19:47:09.9372270Z     >>> np.testing.assert_array_almost_equal(
2025-08-26T19:47:09.9372500Z     ...     [1.0, 2.33333, np.nan], [1.0, 2.33333, 5], decimal=5
2025-08-26T19:47:09.9372690Z     ... )
2025-08-26T19:47:09.9372830Z     Traceback (most recent call last):
2025-08-26T19:47:09.9372990Z         ...
2025-08-26T19:47:09.9373110Z     AssertionError:
2025-08-26T19:47:09.9373260Z     Arrays are not almost equal to 5 decimals
2025-08-26T19:47:09.9373440Z     <BLANKLINE>
2025-08-26T19:47:09.9373580Z     x and y nan location mismatch:
2025-08-26T19:47:09.9373800Z      x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-08-26T19:47:09.9374050Z      y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64)
2025-08-26T19:47:09.9374250Z     
2025-08-26T19:47:09.9374350Z     
2025-08-26T19:47:09.9374570Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9374820Z     
2025-08-26T19:47:09.9374930Z       warnings.warn(msg)
2025-08-26T19:47:09.9375080Z     
2025-08-26T19:47:09.9375240Z --- Parse Warning: 30 / 146 ---
2025-08-26T19:47:09.9376180Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=clear_and_catch_warnings in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=1848.
2025-08-26T19:47:09.9377100Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9377470Z     Context manager that resets warning registry for catching warnings
2025-08-26T19:47:09.9377700Z     
2025-08-26T19:47:09.9377910Z         Warnings can be slippery, because, whenever a warning is triggered, Python
2025-08-26T19:47:09.9378270Z         adds a ``__warningregistry__`` member to the *calling* module.  This makes
2025-08-26T19:47:09.9378620Z         it impossible to retrigger the warning in this module, whatever you put in
2025-08-26T19:47:09.9378970Z         the warnings filters.  This context manager accepts a sequence of `modules`
2025-08-26T19:47:09.9379270Z         as a keyword argument to its constructor and:
2025-08-26T19:47:09.9379470Z     
2025-08-26T19:47:09.9379670Z         * stores and removes any ``__warningregistry__`` entries in given `modules`
2025-08-26T19:47:09.9379910Z           on entry;
2025-08-26T19:47:09.9380120Z         * resets ``__warningregistry__`` to its previous state on exit.
2025-08-26T19:47:09.9380340Z     
2025-08-26T19:47:09.9380530Z         This makes it possible to trigger any warning afresh inside the context
2025-08-26T19:47:09.9380840Z         manager without disturbing the state of warnings outside.
2025-08-26T19:47:09.9381060Z     
2025-08-26T19:47:09.9381270Z         For compatibility with Python 3.0, please consider all arguments to be
2025-08-26T19:47:09.9381530Z         keyword-only.
2025-08-26T19:47:09.9381660Z     
2025-08-26T19:47:09.9381770Z         Parameters
2025-08-26T19:47:09.9381890Z         ----------
2025-08-26T19:47:09.9382030Z         record : bool, optional
2025-08-26T19:47:09.9382260Z             Specifies whether warnings should be captured by a custom
2025-08-26T19:47:09.9382590Z             implementation of ``warnings.showwarning()`` and be appended to a list
2025-08-26T19:47:09.9382940Z             returned by the context manager. Otherwise None is returned by the
2025-08-26T19:47:09.9383280Z             context manager. The objects appended to the list are arguments whose
2025-08-26T19:47:09.9383610Z             attributes mirror the arguments to ``showwarning()``.
2025-08-26T19:47:09.9383850Z         modules : sequence, optional
2025-08-26T19:47:09.9384110Z             Sequence of modules for which to reset warnings registry on entry and
2025-08-26T19:47:09.9384470Z             restore on exit. To work correctly, all 'ignore' filters should
2025-08-26T19:47:09.9384730Z             filter by one of these modules.
2025-08-26T19:47:09.9384910Z     
2025-08-26T19:47:09.9385030Z         Examples
2025-08-26T19:47:09.9385160Z         --------
2025-08-26T19:47:09.9385290Z         >>> import warnings
2025-08-26T19:47:09.9385510Z         >>> with np.testing.clear_and_catch_warnings(  # doctest: +SKIP
2025-08-26T19:47:09.9385770Z         ...     modules=[np.core.fromnumeric]
2025-08-26T19:47:09.9385950Z         ... ):
2025-08-26T19:47:09.9386100Z         ...     warnings.simplefilter("always")
2025-08-26T19:47:09.9386380Z         ...     warnings.filterwarnings("ignore", module="np.core.fromnumeric")
2025-08-26T19:47:09.9386690Z         ...     # do something that raises a warning but ignore those in
2025-08-26T19:47:09.9386920Z         ...     # np.core.fromnumeric
2025-08-26T19:47:09.9387090Z         
2025-08-26T19:47:09.9387320Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9387590Z     
2025-08-26T19:47:09.9387700Z       warnings.warn(msg)
2025-08-26T19:47:09.9387850Z     
2025-08-26T19:47:09.9388010Z --- Parse Warning: 31 / 146 ---
2025-08-26T19:47:09.9388790Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=calculate_gain in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/init.py line=142.
2025-08-26T19:47:09.9389670Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9390030Z     Return the recommended gain value for the given nonlinearity function.
2025-08-26T19:47:09.9390270Z     
2025-08-26T19:47:09.9390390Z         The values are as follows:
2025-08-26T19:47:09.9390550Z     
2025-08-26T19:47:09.9390690Z         ================= ====================================================
2025-08-26T19:47:09.9390890Z         nonlinearity      gain
2025-08-26T19:47:09.9391080Z         ================= ====================================================
2025-08-26T19:47:09.9391280Z         Linear / Identity :math:`1`
2025-08-26T19:47:09.9391460Z         Conv{1,2,3}D      :math:`1`
2025-08-26T19:47:09.9391630Z         Sigmoid           :math:`1`
2025-08-26T19:47:09.9391820Z         Tanh              :math:`\frac{5}{3}`
2025-08-26T19:47:09.9392010Z         ReLU              :math:`\sqrt{2}`
2025-08-26T19:47:09.9392260Z         Leaky Relu        :math:`\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}`
2025-08-26T19:47:09.9392510Z         SELU              :math:`\frac{3}{4}`
2025-08-26T19:47:09.9392720Z         ================= ====================================================
2025-08-26T19:47:09.9392900Z     
2025-08-26T19:47:09.9393010Z         .. warning::
2025-08-26T19:47:09.9393220Z             In order to implement `Self-Normalizing Neural Networks`_ ,
2025-08-26T19:47:09.9393560Z             you should use ``nonlinearity='linear'`` instead of ``nonlinearity='selu'``.
2025-08-26T19:47:09.9393880Z             This gives the initial weights a variance of ``1 / N``,
2025-08-26T19:47:09.9394190Z             which is necessary to induce a stable fixed point in the forward pass.
2025-08-26T19:47:09.9394530Z             In contrast, the default gain for ``SELU`` sacrifices the normalization
2025-08-26T19:47:09.9394850Z             effect for more stable gradient flow in rectangular layers.
2025-08-26T19:47:09.9395080Z     
2025-08-26T19:47:09.9395180Z         Args:
2025-08-26T19:47:09.9395380Z             nonlinearity: the non-linear function (`nn.functional` name)
2025-08-26T19:47:09.9395670Z             param: optional parameter for the non-linear function
2025-08-26T19:47:09.9399650Z     
2025-08-26T19:47:09.9399800Z         Examples:
2025-08-26T19:47:09.9399950Z             >>> gain = nn.init.calculate_gain(
2025-08-26T19:47:09.9400150Z             ...     "leaky_relu", 0.2
2025-08-26T19:47:09.9400460Z             ... )  # leaky_relu with negative_slope=0.2
2025-08-26T19:47:09.9400660Z     
2025-08-26T19:47:09.9401010Z         .. _Self-Normalizing Neural Networks: https://papers.nips.cc/paper/2017/hash/5d44ee6f2c3f71b73125876103c8f6c4-Abstract.html
2025-08-26T19:47:09.9401430Z         
2025-08-26T19:47:09.9401660Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9401920Z     
2025-08-26T19:47:09.9402030Z       warnings.warn(msg)
2025-08-26T19:47:09.9402170Z     
2025-08-26T19:47:09.9402360Z --- Parse Warning: 32 / 146 ---
2025-08-26T19:47:09.9403220Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel.join in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=1766.
2025-08-26T19:47:09.9404170Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9404430Z     
2025-08-26T19:47:09.9404640Z     Context manager for training with uneven inputs across processes in DDP.
2025-08-26T19:47:09.9404890Z     
2025-08-26T19:47:09.9405080Z     This context manager will keep track of already-joined DDP processes,
2025-08-26T19:47:09.9405410Z     and "shadow" the forward and backward passes by inserting collective
2025-08-26T19:47:09.9405780Z     communication operations to match with the ones created by non-joined
2025-08-26T19:47:09.9406130Z     DDP processes. This will ensure each collective call has a corresponding
2025-08-26T19:47:09.9406470Z     call by already-joined DDP processes, preventing hangs or errors that
2025-08-26T19:47:09.9406790Z     would otherwise happen when training with uneven inputs across
2025-08-26T19:47:09.9407110Z     processes. Alternatively, if the flag ``throw_on_early_termination`` is
2025-08-26T19:47:09.9407450Z     specified to be ``True``, all trainers will throw an error once one rank
2025-08-26T19:47:09.9407770Z     runs out of inputs, allowing these errors to be caught and handled
2025-08-26T19:47:09.9408020Z     according to application logic.
2025-08-26T19:47:09.9408190Z     
2025-08-26T19:47:09.9408380Z     Once all DDP processes have joined, the context manager will broadcast
2025-08-26T19:47:09.9408720Z     the model corresponding to the last joined process to all processes to
2025-08-26T19:47:09.9409010Z     ensure the model is the same across all processes
2025-08-26T19:47:09.9409230Z     (which is guaranteed by DDP).
2025-08-26T19:47:09.9409400Z     
2025-08-26T19:47:09.9409590Z     To use this to enable training with uneven inputs across processes,
2025-08-26T19:47:09.9409920Z     simply wrap this context manager around your training loop. No further
2025-08-26T19:47:09.9410220Z     modifications to the model or data loading is required.
2025-08-26T19:47:09.9410430Z     
2025-08-26T19:47:09.9410540Z     .. warning::
2025-08-26T19:47:09.9410750Z         If the model or training loop this context manager is wrapped around
2025-08-26T19:47:09.9411060Z         has additional distributed collective operations, such as
2025-08-26T19:47:09.9411350Z         ``SyncBatchNorm`` in the model's forward pass, then the flag
2025-08-26T19:47:09.9411660Z         ``throw_on_early_termination`` must be enabled. This is because this
2025-08-26T19:47:09.9411980Z         context manager is not aware of non-DDP collective communication.
2025-08-26T19:47:09.9412280Z         This flag will cause all ranks to throw when any one rank
2025-08-26T19:47:09.9412570Z         exhausts inputs, allowing these errors to be caught and recovered
2025-08-26T19:47:09.9412820Z         from across all ranks.
2025-08-26T19:47:09.9412970Z     
2025-08-26T19:47:09.9413080Z     Args:
2025-08-26T19:47:09.9413260Z         divide_by_initial_world_size (bool): If ``True``, will divide
2025-08-26T19:47:09.9413560Z             gradients by the initial ``world_size`` DDP training was launched
2025-08-26T19:47:09.9413900Z             with. If ``False``, will compute the effective world size
2025-08-26T19:47:09.9414190Z             (number of ranks that have not depleted their inputs yet) and
2025-08-26T19:47:09.9414460Z             divide gradients by that during allreduce. Set
2025-08-26T19:47:09.9414750Z             ``divide_by_initial_world_size=True`` to ensure every input
2025-08-26T19:47:09.9415060Z             sample including the uneven inputs have equal weight in terms of
2025-08-26T19:47:09.9415360Z             how much they contribute to the global gradient. This is
2025-08-26T19:47:09.9415630Z             achieved by always dividing the gradient by the initial
2025-08-26T19:47:09.9415920Z             ``world_size`` even when we encounter uneven inputs. If you set
2025-08-26T19:47:09.9416200Z             this to ``False``, we divide the gradient by the remaining
2025-08-26T19:47:09.9416480Z             number of nodes. This ensures parity with training on a smaller
2025-08-26T19:47:09.9416770Z             ``world_size`` although it also means the uneven inputs would
2025-08-26T19:47:09.9417060Z             contribute more towards the global gradient. Typically, you
2025-08-26T19:47:09.9417350Z             would want to set this to ``True`` for cases where the last few
2025-08-26T19:47:09.9417640Z             inputs of your training job are uneven. In extreme cases, where
2025-08-26T19:47:09.9417960Z             there is a large discrepancy in the number of inputs, setting
2025-08-26T19:47:09.9418210Z             this to ``False`` might provide better results.
2025-08-26T19:47:09.9418490Z         enable (bool): Whether to enable uneven input detection or not. Pass
2025-08-26T19:47:09.9418780Z             in ``enable=False`` to disable in cases where you know that
2025-08-26T19:47:09.9419060Z             inputs are even across participating processes. Default is
2025-08-26T19:47:09.9419280Z             ``True``.
2025-08-26T19:47:09.9419480Z         throw_on_early_termination (bool): Whether to throw an error
2025-08-26T19:47:09.9419760Z             or continue training when at least one rank has exhausted
2025-08-26T19:47:09.9420040Z             inputs. If ``True``, will throw upon the first rank reaching end
2025-08-26T19:47:09.9420320Z             of data. If ``False``, will continue training with a smaller
2025-08-26T19:47:09.9420600Z             effective world size until all ranks are joined. Note that if
2025-08-26T19:47:09.9420840Z             this flag is specified, then the flag
2025-08-26T19:47:09.9421090Z             ``divide_by_initial_world_size`` would be ignored. Default
2025-08-26T19:47:09.9421300Z             is ``False``.
2025-08-26T19:47:09.9421440Z     
2025-08-26T19:47:09.9421530Z     
2025-08-26T19:47:09.9421630Z     Example::
2025-08-26T19:47:09.9421740Z     
2025-08-26T19:47:09.9421870Z         >>> # xdoctest: +SKIP("Distributed")
2025-08-26T19:47:09.9422050Z         >>> import torch
2025-08-26T19:47:09.9422210Z         >>> import torch.distributed as dist
2025-08-26T19:47:09.9422380Z         >>> import os
2025-08-26T19:47:09.9422540Z         >>> import torch.multiprocessing as mp
2025-08-26T19:47:09.9422730Z         >>> import torch.nn as nn
2025-08-26T19:47:09.9422900Z         >>> # On each spawned worker
2025-08-26T19:47:09.9423080Z         >>> def worker(rank):
2025-08-26T19:47:09.9423290Z         >>>     dist.init_process_group("nccl", rank=rank, world_size=2)
2025-08-26T19:47:09.9423550Z         >>>     torch.cuda.set_device(rank)
2025-08-26T19:47:09.9423770Z         >>>     model = nn.Linear(1, 1, bias=False).to(rank)
2025-08-26T19:47:09.9424040Z         >>>     model = torch.nn.parallel.DistributedDataParallel(
2025-08-26T19:47:09.9424290Z         >>>         model, device_ids=[rank], output_device=rank
2025-08-26T19:47:09.9424480Z         >>>     )
2025-08-26T19:47:09.9424640Z         >>>     # Rank 1 gets one more input than rank 0.
2025-08-26T19:47:09.9424890Z         >>>     inputs = [torch.tensor([1]).float() for _ in range(10 + rank)]
2025-08-26T19:47:09.9425130Z         >>>     with model.join():
2025-08-26T19:47:09.9425340Z         >>>         for _ in range(5):
2025-08-26T19:47:09.9425520Z         >>>             for inp in inputs:
2025-08-26T19:47:09.9425720Z         >>>                 loss = model(inp).sum()
2025-08-26T19:47:09.9425940Z         >>>                 loss.backward()
2025-08-26T19:47:09.9426180Z         >>>     # Without the join() API, the below synchronization will hang
2025-08-26T19:47:09.9426450Z         >>>     # blocking for rank 1's allreduce to complete.
2025-08-26T19:47:09.9426680Z         >>>     torch.cuda.synchronize(device=rank)
2025-08-26T19:47:09.9426850Z     
2025-08-26T19:47:09.9427060Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9427310Z     
2025-08-26T19:47:09.9427420Z       warnings.warn(msg)
2025-08-26T19:47:09.9427550Z     
2025-08-26T19:47:09.9427710Z --- Parse Warning: 33 / 146 ---
2025-08-26T19:47:09.9428590Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=2057.
2025-08-26T19:47:09.9429530Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9429830Z     
2025-08-26T19:47:09.9430070Z     Register an optimizer in DDP to optimize parameter immediately after its gradient reduction.
2025-08-26T19:47:09.9430360Z     
2025-08-26T19:47:09.9430540Z     Registers an optimizer with DDP such that the optimization for a
2025-08-26T19:47:09.9430850Z     parameter will run immediately when that parameter's gradient is
2025-08-26T19:47:09.9431150Z     finished with reduction, instead of waiting for all parameters'
2025-08-26T19:47:09.9431460Z     gradients to finish reduction. This can result in a training speedup
2025-08-26T19:47:09.9431780Z     depending on your workload since the optimizer can run while gradient
2025-08-26T19:47:09.9432100Z     reduction for other parameters are still ongoing. In addition, this has
2025-08-26T19:47:09.9432440Z     the potential to reduce peak memory consumption during training, as it
2025-08-26T19:47:09.9432750Z     only needs to load the per-parameter optimizer states of a single
2025-08-26T19:47:09.9433070Z     parameter at a time, instead of loading all per-parameter optimizer
2025-08-26T19:47:09.9433310Z     states at once.
2025-08-26T19:47:09.9433450Z     
2025-08-26T19:47:09.9433550Z     Args:
2025-08-26T19:47:09.9433750Z         optim (Type): a ``torch.optim.Optimizer`` class to be registered
2025-08-26T19:47:09.9433990Z         as a fused optimizer.
2025-08-26T19:47:09.9434210Z         *args (Sequence[Any]): Arguments to forward to `optim`.
2025-08-26T19:47:09.9434510Z         optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters
2025-08-26T19:47:09.9434850Z         to optimize, similar to `params` argument of traditional `torch.optim`
2025-08-26T19:47:09.9435170Z         Optimizers. If this is omitted, all DDP model parameters will be
2025-08-26T19:47:09.9435400Z         optimized.
2025-08-26T19:47:09.9435610Z         **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`.
2025-08-26T19:47:09.9435850Z     
2025-08-26T19:47:09.9435960Z     .. warning ::
2025-08-26T19:47:09.9436170Z         _register_fused_optim should only be called once on a DDP instance,
2025-08-26T19:47:09.9436480Z         and registering multiple fused optimizers for the same DDP model
2025-08-26T19:47:09.9436740Z         is not currently supported. Please ping
2025-08-26T19:47:09.9437040Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-08-26T19:47:09.9437290Z         for your use case.
2025-08-26T19:47:09.9437430Z     
2025-08-26T19:47:09.9437530Z     .. warning ::
2025-08-26T19:47:09.9437730Z         _register_fused_optim and register_comm_hook currently do not
2025-08-26T19:47:09.9438070Z         compose together, meaning that custom DDP communication hooks are
2025-08-26T19:47:09.9438360Z         not supported with overlapped optimizers. Please ping
2025-08-26T19:47:09.9438670Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-08-26T19:47:09.9438940Z         for your use case.
2025-08-26T19:47:09.9439080Z     
2025-08-26T19:47:09.9439180Z     .. warning ::
2025-08-26T19:47:09.9439390Z         Gradient accumulation and DDP `no_sync` are currently not supported
2025-08-26T19:47:09.9439660Z         with overlapped optimizer. Please ping
2025-08-26T19:47:09.9439930Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-08-26T19:47:09.9440180Z         for your use case.
2025-08-26T19:47:09.9440310Z     
2025-08-26T19:47:09.9440410Z     Example::
2025-08-26T19:47:09.9440520Z     
2025-08-26T19:47:09.9440660Z         >>> # xdoctest: +SKIP("No rendezvous handler")
2025-08-26T19:47:09.9440970Z         >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...')
2025-08-26T19:47:09.9441340Z         >>> net = torch.nn.parallel.DistributedDataParallel(model, pg)
2025-08-26T19:47:09.9441560Z         >>> lr = 1e-2
2025-08-26T19:47:09.9441710Z         >>> betas = (0.9, 0.99)
2025-08-26T19:47:09.9441860Z         >>> eps = 1e-6
2025-08-26T19:47:09.9442100Z         >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps)
2025-08-26T19:47:09.9442410Z         >>> # Example with subset of parameters
2025-08-26T19:47:09.9442640Z         >>> params_to_opt = [list(net.parameters())[0]]
2025-08-26T19:47:09.9442860Z         >>> net._register_fused_optim(
2025-08-26T19:47:09.9443130Z         ...   torch.optim.Adam, lr, optim_params=params_to_opt,  betas=betas, eps=eps
2025-08-26T19:47:09.9443380Z         ... )
2025-08-26T19:47:09.9443490Z     
2025-08-26T19:47:09.9443710Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9443960Z     
2025-08-26T19:47:09.9444070Z       warnings.warn(msg)
2025-08-26T19:47:09.9444210Z     
2025-08-26T19:47:09.9444380Z --- Parse Warning: 34 / 146 ---
2025-08-26T19:47:09.9445240Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_parametrization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/parametrize.py line=424.
2025-08-26T19:47:09.9446170Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9446490Z     Register a parametrization to a tensor in a module.
2025-08-26T19:47:09.9446690Z     
2025-08-26T19:47:09.9446920Z         Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-08-26T19:47:09.9447330Z         the module will return the parametrized version ``parametrization(module.weight)``.
2025-08-26T19:47:09.9447730Z         If the original tensor requires a gradient, the backward pass will differentiate
2025-08-26T19:47:09.9448130Z         through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-08-26T19:47:09.9448420Z     
2025-08-26T19:47:09.9448670Z         The first time that a module registers a parametrization, this function will add an attribute
2025-08-26T19:47:09.9449070Z         ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-08-26T19:47:09.9449330Z     
2025-08-26T19:47:09.9449540Z         The list of parametrizations on the tensor ``weight`` will be accessible under
2025-08-26T19:47:09.9449840Z         ``module.parametrizations.weight``.
2025-08-26T19:47:09.9450020Z     
2025-08-26T19:47:09.9450170Z         The original tensor will be accessible under
2025-08-26T19:47:09.9450410Z         ``module.parametrizations.weight.original``.
2025-08-26T19:47:09.9450600Z     
2025-08-26T19:47:09.9450830Z         Parametrizations may be concatenated by registering several parametrizations
2025-08-26T19:47:09.9451110Z         on the same attribute.
2025-08-26T19:47:09.9451330Z     
2025-08-26T19:47:09.9451540Z         The training mode of a registered parametrization is updated on registration
2025-08-26T19:47:09.9451850Z         to match the training mode of the host module
2025-08-26T19:47:09.9452080Z     
2025-08-26T19:47:09.9452320Z         Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-08-26T19:47:09.9452400Z         using the context manager :func:`cached`.
2025-08-26T19:47:09.9452440Z     
2025-08-26T19:47:09.9452590Z         A :attr:`parametrization` may optionally implement a method with signature
2025-08-26T19:47:09.9452630Z     
2025-08-26T19:47:09.9452690Z         .. code-block:: python
2025-08-26T19:47:09.9452730Z     
2025-08-26T19:47:09.9452860Z             def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-08-26T19:47:09.9452900Z     
2025-08-26T19:47:09.9453050Z         This method is called on the unparametrized tensor when the first parametrization
2025-08-26T19:47:09.9453180Z         is registered to compute the initial value of the original tensor.
2025-08-26T19:47:09.9453370Z         If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-08-26T19:47:09.9453410Z     
2025-08-26T19:47:09.9453600Z         If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-08-26T19:47:09.9453810Z         to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-08-26T19:47:09.9453850Z     
2025-08-26T19:47:09.9453990Z         It is possible for the first parametrization to depend on several inputs.
2025-08-26T19:47:09.9454130Z         This may be implemented returning a tuple of tensors from ``right_inverse``
2025-08-26T19:47:09.9454280Z         (see the example implementation of a ``RankOne`` parametrization below).
2025-08-26T19:47:09.9454310Z     
2025-08-26T19:47:09.9454510Z         In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-08-26T19:47:09.9454590Z         with names ``original0``, ``original1``,...
2025-08-26T19:47:09.9454640Z     
2025-08-26T19:47:09.9454680Z         .. note::
2025-08-26T19:47:09.9454720Z     
2025-08-26T19:47:09.9454880Z             If unsafe=False (default) both the forward and right_inverse methods will be called
2025-08-26T19:47:09.9454980Z             once to perform a number of consistency checks.
2025-08-26T19:47:09.9455140Z             If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-08-26T19:47:09.9455210Z             and nothing will be called otherwise.
2025-08-26T19:47:09.9455250Z     
2025-08-26T19:47:09.9455290Z         .. note::
2025-08-26T19:47:09.9455330Z     
2025-08-26T19:47:09.9455460Z             In most situations, ``right_inverse`` will be a function such that
2025-08-26T19:47:09.9455530Z             ``forward(right_inverse(X)) == X`` (see
2025-08-26T19:47:09.9455700Z             `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-08-26T19:47:09.9455860Z             Sometimes, when the parametrization is not surjective, it may be reasonable
2025-08-26T19:47:09.9455900Z             to relax this.
2025-08-26T19:47:09.9455950Z     
2025-08-26T19:47:09.9455990Z         .. warning::
2025-08-26T19:47:09.9456030Z     
2025-08-26T19:47:09.9456200Z             If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-08-26T19:47:09.9456360Z             will register a number of new parameters. If such parametrization is registered
2025-08-26T19:47:09.9456520Z             after the optimizer is created, these new parameters will need to be added manually
2025-08-26T19:47:09.9456650Z             to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-08-26T19:47:09.9456690Z     
2025-08-26T19:47:09.9456730Z         Args:
2025-08-26T19:47:09.9456860Z             module (nn.Module): module on which to register the parametrization
2025-08-26T19:47:09.9457030Z             tensor_name (str): name of the parameter or buffer on which to register
2025-08-26T19:47:09.9457090Z                 the parametrization
2025-08-26T19:47:09.9457220Z             parametrization (nn.Module): the parametrization to register
2025-08-26T19:47:09.9457290Z         Keyword args:
2025-08-26T19:47:09.9457420Z             unsafe (bool): a boolean flag that denotes whether the parametrization
2025-08-26T19:47:09.9457550Z                 may change the dtype and shape of the tensor. Default: `False`
2025-08-26T19:47:09.9457710Z                 Warning: the parametrization is not checked for consistency upon registration.
2025-08-26T19:47:09.9457780Z                 Enable this flag at your own risk.
2025-08-26T19:47:09.9457820Z     
2025-08-26T19:47:09.9457870Z         Raises:
2025-08-26T19:47:09.9458040Z             ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-08-26T19:47:09.9458090Z     
2025-08-26T19:47:09.9458130Z         Examples:
2025-08-26T19:47:09.9458230Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-08-26T19:47:09.9458280Z             >>> import torch
2025-08-26T19:47:09.9458340Z             >>> import torch.nn as nn
2025-08-26T19:47:09.9458420Z             >>> import torch.nn.utils.parametrize as P
2025-08-26T19:47:09.9458470Z             >>>
2025-08-26T19:47:09.9458550Z             >>> class Symmetric(nn.Module):
2025-08-26T19:47:09.9458620Z             >>>     def forward(self, X):
2025-08-26T19:47:09.9458730Z             >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-08-26T19:47:09.9458770Z             >>>
2025-08-26T19:47:09.9458840Z             >>>     def right_inverse(self, A):
2025-08-26T19:47:09.9458890Z             >>>         return A.triu()
2025-08-26T19:47:09.9458940Z             >>>
2025-08-26T19:47:09.9458990Z             >>> m = nn.Linear(5, 5)
2025-08-26T19:47:09.9459100Z             >>> P.register_parametrization(m, "weight", Symmetric())
2025-08-26T19:47:09.9459240Z             >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-08-26T19:47:09.9459290Z             True
2025-08-26T19:47:09.9459340Z             >>> A = torch.rand(5, 5)
2025-08-26T19:47:09.9459410Z             >>> A = A + A.T  # A is now symmetric
2025-08-26T19:47:09.9459540Z             >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-08-26T19:47:09.9459610Z             >>> print(torch.allclose(m.weight, A))
2025-08-26T19:47:09.9459650Z             True
2025-08-26T19:47:09.9459690Z     
2025-08-26T19:47:09.9459750Z             >>> class RankOne(nn.Module):
2025-08-26T19:47:09.9459810Z             >>>     def forward(self, x, y):
2025-08-26T19:47:09.9459900Z             >>> # Form a rank 1 matrix multiplying two vectors
2025-08-26T19:47:09.9459980Z             >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-08-26T19:47:09.9460030Z             >>>
2025-08-26T19:47:09.9460090Z             >>>     def right_inverse(self, Z):
2025-08-26T19:47:09.9460170Z             >>> # Project Z onto the rank 1 matrices
2025-08-26T19:47:09.9460260Z             >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-08-26T19:47:09.9460330Z             >>> # Return rescaled singular vectors
2025-08-26T19:47:09.9460410Z             >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-08-26T19:47:09.9460500Z             >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-08-26T19:47:09.9460540Z             >>>
2025-08-26T19:47:09.9460640Z             >>> linear_rank_one = P.register_parametrization(
2025-08-26T19:47:09.9460710Z             ...     nn.Linear(4, 4), "weight", RankOne()
2025-08-26T19:47:09.9460750Z             ... )
2025-08-26T19:47:09.9460880Z             >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-08-26T19:47:09.9460930Z             1
2025-08-26T19:47:09.9460970Z     
2025-08-26T19:47:09.9461010Z         
2025-08-26T19:47:09.9461160Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9461250Z     
2025-08-26T19:47:09.9461300Z       warnings.warn(msg)
2025-08-26T19:47:09.9461340Z     
2025-08-26T19:47:09.9461450Z --- Parse Warning: 35 / 146 ---
2025-08-26T19:47:09.9462200Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=14.
2025-08-26T19:47:09.9462360Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9462500Z     Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``.
2025-08-26T19:47:09.9462540Z     
2025-08-26T19:47:09.9462700Z         The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-08-26T19:47:09.9462870Z         Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-08-26T19:47:09.9463020Z         This function is used to facilitate the computation to adopt NHWC kernels, which
2025-08-26T19:47:09.9463210Z         provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-08-26T19:47:09.9463240Z     
2025-08-26T19:47:09.9463310Z         .. note::
2025-08-26T19:47:09.9463460Z             Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive
2025-08-26T19:47:09.9463590Z             than the utility function ``convert_conv2d_weight_memory_format``. Any
2025-08-26T19:47:09.9463720Z             layer with 4d weight will be affected by ``model.to``, which does not
2025-08-26T19:47:09.9463860Z             necessarily benefit from conversion to specified ``memory_format``.
2025-08-26T19:47:09.9467550Z             One place we are confident in is that NHWC(channels_last) conversion for
2025-08-26T19:47:09.9467700Z             convolution in cuDNN, as it is beneficial to run convolution in NHWC,
2025-08-26T19:47:09.9467830Z             even in cases where we have to apply permutation to input tensors.
2025-08-26T19:47:09.9467870Z     
2025-08-26T19:47:09.9468010Z             Hence our strategy here is to convert only the weight of convolution to
2025-08-26T19:47:09.9468080Z             channels_last. This ensures that;
2025-08-26T19:47:09.9468220Z             1. Fast convolution kernels will be used, the benefit of which could
2025-08-26T19:47:09.9468350Z             outweigh overhead of permutation (if input is not in the same format).
2025-08-26T19:47:09.9468490Z             2. No unnecessary permutations are applied on layers that do not benefit
2025-08-26T19:47:09.9468560Z             from memory_format conversion.
2025-08-26T19:47:09.9468590Z     
2025-08-26T19:47:09.9468730Z             The optimal case is that, layers between convolution layers are channels
2025-08-26T19:47:09.9468870Z             last compatible. Input tensor would be permuted to channels last when it
2025-08-26T19:47:09.9469010Z             encounters the first convolution layer and stay in that memory format.
2025-08-26T19:47:09.9469150Z             Hence following convolutions will not need to permute its input tensor.
2025-08-26T19:47:09.9469200Z     
2025-08-26T19:47:09.9469330Z             In case where a channels last incompatible layer is between convolution
2025-08-26T19:47:09.9469460Z             layers, we need to permute the input tensor back to contiguous format
2025-08-26T19:47:09.9469590Z             for that layer. The input tensor will go through the remaining layers in
2025-08-26T19:47:09.9469730Z             contiguous format and be permuted to channels last when it encounters
2025-08-26T19:47:09.9469850Z             another convolution layer. There's no point in propagating that
2025-08-26T19:47:09.9469980Z             permutation to an earlier layer, as most layers are quite agnostic to
2025-08-26T19:47:09.9470040Z             ``memory_format``.
2025-08-26T19:47:09.9470080Z     
2025-08-26T19:47:09.9470300Z             This claim might change when PyTorch supports fusion of permutation, as
2025-08-26T19:47:09.9470430Z             there might have been a better spot to fuse the permutation other than
2025-08-26T19:47:09.9470520Z             immediately before a convolution.
2025-08-26T19:47:09.9470560Z     
2025-08-26T19:47:09.9470600Z         Args:
2025-08-26T19:47:09.9470730Z             module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container
2025-08-26T19:47:09.9470800Z                                 ``nn.Module``
2025-08-26T19:47:09.9470890Z             memory_format: user specified ``memory_format``,
2025-08-26T19:47:09.9471000Z                 e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-08-26T19:47:09.9471040Z     
2025-08-26T19:47:09.9471080Z         Returns:
2025-08-26T19:47:09.9471170Z             The original module with updated ``nn.Conv2d``
2025-08-26T19:47:09.9471210Z     
2025-08-26T19:47:09.9471250Z         Example:
2025-08-26T19:47:09.9471340Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-26T19:47:09.9471430Z             >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-08-26T19:47:09.9471500Z             >>> input = torch.randint(
2025-08-26T19:47:09.9471590Z             ...     1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda"
2025-08-26T19:47:09.9471650Z             ... )
2025-08-26T19:47:09.9471710Z             >>> model = nn.Sequential(
2025-08-26T19:47:09.9471780Z             >>>     nn.Conv2d(8, 4, 3)).cuda().half()
2025-08-26T19:47:09.9471840Z             >>> # This is identical to:
2025-08-26T19:47:09.9471990Z             >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-08-26T19:47:09.9472090Z             >>> model = nn.utils.convert_conv2d_weight_memory_format(
2025-08-26T19:47:09.9472160Z             ...     model, torch.channels_last
2025-08-26T19:47:09.9472200Z             ... )
2025-08-26T19:47:09.9472250Z             >>> out = model(input)
2025-08-26T19:47:09.9472290Z         
2025-08-26T19:47:09.9472450Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9472490Z     
2025-08-26T19:47:09.9472540Z       warnings.warn(msg)
2025-08-26T19:47:09.9472580Z     
2025-08-26T19:47:09.9472710Z --- Parse Warning: 36 / 146 ---
2025-08-26T19:47:09.9473420Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=93.
2025-08-26T19:47:09.9473580Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9473710Z     Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format``
2025-08-26T19:47:09.9473870Z         The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-08-26T19:47:09.9474040Z         Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-08-26T19:47:09.9474190Z         This function is used to facilitate the computation to adopt NHWC kernels, which
2025-08-26T19:47:09.9474380Z         provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-08-26T19:47:09.9474420Z     
2025-08-26T19:47:09.9474470Z         .. note::
2025-08-26T19:47:09.9474620Z             Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive
2025-08-26T19:47:09.9474750Z             than the utility function ``convert_conv3d_weight_memory_format``. Any
2025-08-26T19:47:09.9474880Z             layer with 4d weight will be affected by ``model.to``, which does not
2025-08-26T19:47:09.9475010Z             necessarily benefit from conversion to specified ``memory_format``.
2025-08-26T19:47:09.9475160Z             One place we are confident in is that NDHWC(channels_last_3d) conversion for
2025-08-26T19:47:09.9475360Z             convolution in cuDNN, as it is beneficial to run convolution in NDHWC,
2025-08-26T19:47:09.9475480Z             even in cases where we have to apply permutation to input tensors.
2025-08-26T19:47:09.9475560Z     
2025-08-26T19:47:09.9475700Z             Hence our strategy here is to convert only the weight of convolution to
2025-08-26T19:47:09.9475770Z             channels_last_3d. This ensures that;
2025-08-26T19:47:09.9475900Z             1. Fast convolution kernels will be used, the benefit of which could
2025-08-26T19:47:09.9476040Z             outweigh overhead of permutation (if input is not in the same format).
2025-08-26T19:47:09.9476180Z             2. No unnecessary permutations are applied on layers that do not benefit
2025-08-26T19:47:09.9476250Z             from memory_format conversion.
2025-08-26T19:47:09.9476290Z     
2025-08-26T19:47:09.9476420Z             The optimal case is that, layers between convolution layers are channels
2025-08-26T19:47:09.9476570Z             last compatible. Input tensor would be permuted to channels last when it
2025-08-26T19:47:09.9476700Z             encounters the first convolution layer and stay in that memory format.
2025-08-26T19:47:09.9476850Z             Hence following convolutions will not need to permute its input tensor.
2025-08-26T19:47:09.9476890Z     
2025-08-26T19:47:09.9477070Z             In case where a channels last incompatible layer is between convolution
2025-08-26T19:47:09.9477200Z             layers, we need to permute the input tensor back to contiguous format
2025-08-26T19:47:09.9477330Z             for that layer. The input tensor will go through the remaining layers in
2025-08-26T19:47:09.9477470Z             contiguous format and be permuted to channels last when it encounters
2025-08-26T19:47:09.9477590Z             another convolution layer. There's no point in propagating that
2025-08-26T19:47:09.9477730Z             permutation to an earlier layer, as most layers are quite agnostic to
2025-08-26T19:47:09.9477780Z             ``memory_format``.
2025-08-26T19:47:09.9477830Z     
2025-08-26T19:47:09.9477970Z             This claim might change when PyTorch supports fusion of permutation, as
2025-08-26T19:47:09.9478110Z             there might have been a better spot to fuse the permutation other than
2025-08-26T19:47:09.9478180Z             immediately before a convolution.
2025-08-26T19:47:09.9478220Z     
2025-08-26T19:47:09.9478260Z         Args:
2025-08-26T19:47:09.9478390Z             module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container
2025-08-26T19:47:09.9478450Z                                 ``nn.Module``
2025-08-26T19:47:09.9478540Z             memory_format: user specified ``memory_format``,
2025-08-26T19:47:09.9478650Z                 e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-08-26T19:47:09.9478690Z     
2025-08-26T19:47:09.9478740Z         Returns:
2025-08-26T19:47:09.9478820Z             The original module with updated ``nn.Conv3d``
2025-08-26T19:47:09.9478860Z     
2025-08-26T19:47:09.9478910Z         Example:
2025-08-26T19:47:09.9479000Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-26T19:47:09.9479090Z             >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-08-26T19:47:09.9479150Z             >>> input = torch.randint(
2025-08-26T19:47:09.9479250Z             ...     1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda"
2025-08-26T19:47:09.9479290Z             ... )
2025-08-26T19:47:09.9479350Z             >>> model = nn.Sequential(
2025-08-26T19:47:09.9479420Z             >>>     nn.Conv3d(8, 4, 3)).cuda().half()
2025-08-26T19:47:09.9479480Z             >>> # This is identical to:
2025-08-26T19:47:09.9479630Z             >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-08-26T19:47:09.9479740Z             >>> model = nn.utils.convert_conv3d_weight_memory_format(
2025-08-26T19:47:09.9479800Z             ...     model, torch.channels_last_3d
2025-08-26T19:47:09.9479850Z             ... )
2025-08-26T19:47:09.9479940Z             >>> out = model(input)
2025-08-26T19:47:09.9479980Z         
2025-08-26T19:47:09.9480140Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9480200Z     
2025-08-26T19:47:09.9480250Z       warnings.warn(msg)
2025-08-26T19:47:09.9480300Z     
2025-08-26T19:47:09.9480390Z --- Parse Warning: 37 / 146 ---
2025-08-26T19:47:09.9481050Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ln_structured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py line=979.
2025-08-26T19:47:09.9481210Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9481390Z     Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension.
2025-08-26T19:47:09.9481430Z     
2025-08-26T19:47:09.9481580Z         Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-08-26T19:47:09.9481710Z         by removing the specified ``amount`` of (currently unpruned) channels
2025-08-26T19:47:09.9481820Z         along the specified ``dim`` with the lowest L\ ``n``-norm.
2025-08-26T19:47:09.9481940Z         Modifies module in place (and also return the modified module)
2025-08-26T19:47:09.9482000Z         by:
2025-08-26T19:47:09.9482050Z     
2025-08-26T19:47:09.9482170Z         1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-08-26T19:47:09.9482310Z            binary mask applied to the parameter ``name`` by the pruning method.
2025-08-26T19:47:09.9482430Z         2) replacing the parameter ``name`` by its pruned version, while the
2025-08-26T19:47:09.9482560Z            original (unpruned) parameter is stored in a new parameter named
2025-08-26T19:47:09.9482610Z            ``name+'_orig'``.
2025-08-26T19:47:09.9482660Z     
2025-08-26T19:47:09.9482700Z         Args:
2025-08-26T19:47:09.9482810Z             module (nn.Module): module containing the tensor to prune
2025-08-26T19:47:09.9482930Z             name (str): parameter name within ``module`` on which pruning
2025-08-26T19:47:09.9482980Z                     will act.
2025-08-26T19:47:09.9483090Z             amount (int or float): quantity of parameters to prune.
2025-08-26T19:47:09.9483200Z                 If ``float``, should be between 0.0 and 1.0 and represent the
2025-08-26T19:47:09.9483320Z                 fraction of parameters to prune. If ``int``, it represents the
2025-08-26T19:47:09.9483410Z                 absolute number of parameters to prune.
2025-08-26T19:47:09.9483530Z             n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid
2025-08-26T19:47:09.9483630Z                 entries for argument ``p`` in :func:`torch.norm`.
2025-08-26T19:47:09.9483750Z             dim (int): index of the dim along which we define channels to prune.
2025-08-26T19:47:09.9483900Z             importance_scores (torch.Tensor): tensor of importance scores (of same
2025-08-26T19:47:09.9484010Z                 shape as module parameter) used to compute mask for pruning.
2025-08-26T19:47:09.9484140Z                 The values in this tensor indicate the importance of the corresponding
2025-08-26T19:47:09.9484230Z                 elements in the parameter being pruned.
2025-08-26T19:47:09.9484370Z                 If unspecified or None, the module parameter will be used in its place.
2025-08-26T19:47:09.9484410Z     
2025-08-26T19:47:09.9484460Z         Returns:
2025-08-26T19:47:09.9484590Z             module (nn.Module): modified (i.e. pruned) version of the input module
2025-08-26T19:47:09.9484630Z     
2025-08-26T19:47:09.9484670Z         Examples:
2025-08-26T19:47:09.9484740Z             >>> from torch.nn.utils import prune
2025-08-26T19:47:09.9484800Z             >>> m = prune.ln_structured(
2025-08-26T19:47:09.9484920Z             ...     nn.Conv2d(5, 3, 2), "weight", amount=0.3, dim=1, n=float("-inf")
2025-08-26T19:47:09.9485000Z             ... )
2025-08-26T19:47:09.9485050Z         
2025-08-26T19:47:09.9485200Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9485270Z     
2025-08-26T19:47:09.9485320Z       warnings.warn(msg)
2025-08-26T19:47:09.9485360Z     
2025-08-26T19:47:09.9485460Z --- Parse Warning: 38 / 146 ---
2025-08-26T19:47:09.9486130Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=global_unstructured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1026.
2025-08-26T19:47:09.9486280Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9486320Z     
2025-08-26T19:47:09.9486580Z     Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``.
2025-08-26T19:47:09.9486620Z     
2025-08-26T19:47:09.9486680Z     Modifies modules in place by:
2025-08-26T19:47:09.9486720Z     
2025-08-26T19:47:09.9486850Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-08-26T19:47:09.9486980Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-08-26T19:47:09.9487140Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-08-26T19:47:09.9487260Z        original (unpruned) parameter is stored in a new parameter named
2025-08-26T19:47:09.9487310Z        ``name+'_orig'``.
2025-08-26T19:47:09.9487350Z     
2025-08-26T19:47:09.9487390Z     Args:
2025-08-26T19:47:09.9487510Z         parameters (Iterable of (module, name) tuples): parameters of
2025-08-26T19:47:09.9487630Z             the model to prune in a global fashion, i.e. by aggregating all
2025-08-26T19:47:09.9487750Z             weights prior to deciding which ones to prune. module must be of
2025-08-26T19:47:09.9487850Z             type :class:`nn.Module`, and name must be a string.
2025-08-26T19:47:09.9487980Z         pruning_method (function): a valid pruning function from this module,
2025-08-26T19:47:09.9488090Z             or a custom one implemented by the user that satisfies the
2025-08-26T19:47:09.9488230Z             implementation guidelines and has ``PRUNING_TYPE='unstructured'``.
2025-08-26T19:47:09.9488370Z         importance_scores (dict): a dictionary mapping (module, name) tuples to
2025-08-26T19:47:09.9488500Z             the corresponding parameter's importance scores tensor. The tensor
2025-08-26T19:47:09.9488630Z             should be the same shape as the parameter, and is used for computing
2025-08-26T19:47:09.9488680Z             mask for pruning.
2025-08-26T19:47:09.9488810Z             If unspecified or None, the parameter will be used in place of its
2025-08-26T19:47:09.9488860Z             importance scores.
2025-08-26T19:47:09.9488930Z         kwargs: other keyword arguments such as:
2025-08-26T19:47:09.9489050Z             amount (int or float): quantity of parameters to prune across the
2025-08-26T19:47:09.9489110Z             specified parameters.
2025-08-26T19:47:09.9489220Z             If ``float``, should be between 0.0 and 1.0 and represent the
2025-08-26T19:47:09.9489340Z             fraction of parameters to prune. If ``int``, it represents the
2025-08-26T19:47:09.9489410Z             absolute number of parameters to prune.
2025-08-26T19:47:09.9489450Z     
2025-08-26T19:47:09.9489500Z     Raises:
2025-08-26T19:47:09.9489590Z         TypeError: if ``PRUNING_TYPE != 'unstructured'``
2025-08-26T19:47:09.9489630Z     
2025-08-26T19:47:09.9489670Z     Note:
2025-08-26T19:47:09.9489800Z         Since global structured pruning doesn't make much sense unless the
2025-08-26T19:47:09.9489910Z         norm is normalized by the size of the parameter, we now limit the
2025-08-26T19:47:09.9490000Z         scope of global pruning to unstructured methods.
2025-08-26T19:47:09.9490040Z     
2025-08-26T19:47:09.9490080Z     Examples:
2025-08-26T19:47:09.9490190Z         >>> from torch.nn.utils import prune
2025-08-26T19:47:09.9490260Z         >>> from collections import OrderedDict
2025-08-26T19:47:09.9490320Z         >>> net = nn.Sequential(
2025-08-26T19:47:09.9490390Z         ...     OrderedDict(
2025-08-26T19:47:09.9490430Z         ...         [
2025-08-26T19:47:09.9490510Z         ...             ("first", nn.Linear(10, 4)),
2025-08-26T19:47:09.9490580Z         ...             ("second", nn.Linear(4, 1)),
2025-08-26T19:47:09.9490620Z         ...         ]
2025-08-26T19:47:09.9490660Z         ...     )
2025-08-26T19:47:09.9490700Z         ... )
2025-08-26T19:47:09.9490760Z         >>> parameters_to_prune = (
2025-08-26T19:47:09.9490820Z         ...     (net.first, "weight"),
2025-08-26T19:47:09.9490870Z         ...     (net.second, "weight"),
2025-08-26T19:47:09.9490920Z         ... )
2025-08-26T19:47:09.9490980Z         >>> prune.global_unstructured(
2025-08-26T19:47:09.9491030Z         ...     parameters_to_prune,
2025-08-26T19:47:09.9491110Z         ...     pruning_method=prune.L1Unstructured,
2025-08-26T19:47:09.9491160Z         ...     amount=10,
2025-08-26T19:47:09.9491200Z         ... )
2025-08-26T19:47:09.9491340Z         >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0))
2025-08-26T19:47:09.9491390Z         tensor(10)
2025-08-26T19:47:09.9491460Z     
2025-08-26T19:47:09.9491500Z     
2025-08-26T19:47:09.9491650Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9491690Z     
2025-08-26T19:47:09.9491740Z       warnings.warn(msg)
2025-08-26T19:47:09.9491780Z     
2025-08-26T19:47:09.9491880Z --- Parse Warning: 39 / 146 ---
2025-08-26T19:47:09.9492540Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=custom_from_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1149.
2025-08-26T19:47:09.9492690Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9492930Z     Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``.
2025-08-26T19:47:09.9492970Z     
2025-08-26T19:47:09.9493100Z         Modifies module in place (and also return the modified module) by:
2025-08-26T19:47:09.9493140Z     
2025-08-26T19:47:09.9493280Z         1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-08-26T19:47:09.9493410Z            binary mask applied to the parameter ``name`` by the pruning method.
2025-08-26T19:47:09.9493540Z         2) replacing the parameter ``name`` by its pruned version, while the
2025-08-26T19:47:09.9493660Z            original (unpruned) parameter is stored in a new parameter named
2025-08-26T19:47:09.9493710Z            ``name+'_orig'``.
2025-08-26T19:47:09.9493750Z     
2025-08-26T19:47:09.9493790Z         Args:
2025-08-26T19:47:09.9493900Z             module (nn.Module): module containing the tensor to prune
2025-08-26T19:47:09.9494020Z             name (str): parameter name within ``module`` on which pruning
2025-08-26T19:47:09.9494070Z                 will act.
2025-08-26T19:47:09.9494170Z             mask (Tensor): binary mask to be applied to the parameter.
2025-08-26T19:47:09.9494220Z     
2025-08-26T19:47:09.9494260Z         Returns:
2025-08-26T19:47:09.9494390Z             module (nn.Module): modified (i.e. pruned) version of the input module
2025-08-26T19:47:09.9494430Z     
2025-08-26T19:47:09.9494470Z         Examples:
2025-08-26T19:47:09.9494540Z             >>> from torch.nn.utils import prune
2025-08-26T19:47:09.9494610Z             >>> m = prune.custom_from_mask(
2025-08-26T19:47:09.9494710Z             ...     nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0])
2025-08-26T19:47:09.9494750Z             ... )
2025-08-26T19:47:09.9494810Z             >>> print(m.bias_mask)
2025-08-26T19:47:09.9494860Z             tensor([0., 1., 0.])
2025-08-26T19:47:09.9494970Z     
2025-08-26T19:47:09.9495010Z         
2025-08-26T19:47:09.9495160Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9495250Z     
2025-08-26T19:47:09.9495310Z       warnings.warn(msg)
2025-08-26T19:47:09.9495340Z     
2025-08-26T19:47:09.9495450Z --- Parse Warning: 40 / 146 ---
2025-08-26T19:47:09.9496100Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=pad_packed_sequence in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/rnn.py line=350.
2025-08-26T19:47:09.9496260Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9496340Z     Pad a packed batch of variable length sequences.
2025-08-26T19:47:09.9496390Z     
2025-08-26T19:47:09.9496490Z         It is an inverse operation to :func:`pack_padded_sequence`.
2025-08-26T19:47:09.9496540Z     
2025-08-26T19:47:09.9496710Z         The returned Tensor's data will be of size ``T x B x *`` (if :attr:`batch_first` is ``False``)
2025-08-26T19:47:09.9496860Z         or ``B x T x *`` (if :attr:`batch_first` is ``True``) , where ``T`` is the length of the longest
2025-08-26T19:47:09.9496970Z         sequence and ``B`` is the batch size.
2025-08-26T19:47:09.9497010Z     
2025-08-26T19:47:09.9497050Z         Example:
2025-08-26T19:47:09.9497200Z             >>> from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
2025-08-26T19:47:09.9497290Z             >>> seq = torch.tensor([[1, 2, 0], [3, 0, 0], [4, 5, 6]])
2025-08-26T19:47:09.9497340Z             >>> lens = [2, 1, 3]
2025-08-26T19:47:09.9497410Z             >>> packed = pack_padded_sequence(
2025-08-26T19:47:09.9497500Z             ...     seq, lens, batch_first=True, enforce_sorted=False
2025-08-26T19:47:09.9497540Z             ... )
2025-08-26T19:47:09.9497590Z             >>> packed
2025-08-26T19:47:09.9497730Z             PackedSequence(data=tensor([4, 1, 3, 5, 2, 6]), batch_sizes=tensor([3, 2, 1]),
2025-08-26T19:47:09.9497870Z                            sorted_indices=tensor([2, 0, 1]), unsorted_indices=tensor([1, 2, 0]))
2025-08-26T19:47:09.9498020Z             >>> seq_unpacked, lens_unpacked = pad_packed_sequence(packed, batch_first=True)
2025-08-26T19:47:09.9498080Z             >>> seq_unpacked
2025-08-26T19:47:09.9498130Z             tensor([[1, 2, 0],
2025-08-26T19:47:09.9498180Z                     [3, 0, 0],
2025-08-26T19:47:09.9498220Z                     [4, 5, 6]])
2025-08-26T19:47:09.9498270Z             >>> lens_unpacked
2025-08-26T19:47:09.9498320Z             tensor([2, 1, 3])
2025-08-26T19:47:09.9498360Z     
2025-08-26T19:47:09.9498400Z         .. note::
2025-08-26T19:47:09.9498490Z             :attr:`total_length` is useful to implement the
2025-08-26T19:47:09.9498630Z             ``pack sequence -> recurrent network -> unpack sequence`` pattern in a
2025-08-26T19:47:09.9498760Z             :class:`~torch.nn.Module` wrapped in :class:`~torch.nn.DataParallel`.
2025-08-26T19:47:09.9498910Z             See :ref:`this FAQ section <pack-rnn-unpack-with-data-parallelism>` for
2025-08-26T19:47:09.9498950Z             details.
2025-08-26T19:47:09.9498990Z     
2025-08-26T19:47:09.9499030Z         Args:
2025-08-26T19:47:09.9499110Z             sequence (PackedSequence): batch to pad
2025-08-26T19:47:09.9499250Z             batch_first (bool, optional): if ``True``, the output will be in ``B x T x *``
2025-08-26T19:47:09.9499320Z                 format, ``T x B x *`` otherwise.
2025-08-26T19:47:09.9499440Z             padding_value (float, optional): values for padded elements.
2025-08-26T19:47:09.9499580Z             total_length (int, optional): if not ``None``, the output will be padded to
2025-08-26T19:47:09.9499720Z                 have length :attr:`total_length`. This method will throw :class:`ValueError`
2025-08-26T19:47:09.9499890Z                 if :attr:`total_length` is less than the max sequence length in
2025-08-26T19:47:09.9499940Z                 :attr:`sequence`.
2025-08-26T19:47:09.9499990Z     
2025-08-26T19:47:09.9500040Z         Returns:
2025-08-26T19:47:09.9500170Z             Tuple of Tensor containing the padded sequence, and a Tensor
2025-08-26T19:47:09.9500290Z             containing the list of lengths of each sequence in the batch.
2025-08-26T19:47:09.9500440Z             Batch elements will be re-ordered as they were ordered originally when
2025-08-26T19:47:09.9500570Z             the batch was passed to ``pack_padded_sequence`` or ``pack_sequence``.
2025-08-26T19:47:09.9500610Z         
2025-08-26T19:47:09.9500760Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9500810Z     
2025-08-26T19:47:09.9500860Z       warnings.warn(msg)
2025-08-26T19:47:09.9500890Z     
2025-08-26T19:47:09.9501000Z --- Parse Warning: 41 / 146 ---
2025-08-26T19:47:09.9501650Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Unflatten in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/flatten.py line=66.
2025-08-26T19:47:09.9501800Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9501870Z     
2025-08-26T19:47:09.9502060Z     Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`.
2025-08-26T19:47:09.9502100Z     
2025-08-26T19:47:09.9502260Z     * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can
2025-08-26T19:47:09.9502400Z       be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively.
2025-08-26T19:47:09.9502440Z     
2025-08-26T19:47:09.9502630Z     * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be
2025-08-26T19:47:09.9502790Z       a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input;  a `NamedShape`
2025-08-26T19:47:09.9502900Z       (tuple of `(name, size)` tuples) for `NamedTensor` input.
2025-08-26T19:47:09.9502940Z     
2025-08-26T19:47:09.9502990Z     Shape:
2025-08-26T19:47:09.9503120Z         - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at
2025-08-26T19:47:09.9503270Z           dimension :attr:`dim` and :math:`*` means any number of dimensions including none.
2025-08-26T19:47:09.9503410Z         - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and
2025-08-26T19:47:09.9503490Z           :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`.
2025-08-26T19:47:09.9503530Z     
2025-08-26T19:47:09.9503570Z     Args:
2025-08-26T19:47:09.9503660Z         dim (Union[int, str]): Dimension to be unflattened
2025-08-26T19:47:09.9503870Z         unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension
2025-08-26T19:47:09.9503910Z     
2025-08-26T19:47:09.9503960Z     Examples:
2025-08-26T19:47:09.9504020Z         >>> input = torch.randn(2, 50)
2025-08-26T19:47:09.9504080Z         >>> # With tuple of ints
2025-08-26T19:47:09.9504130Z         >>> m = nn.Sequential(
2025-08-26T19:47:09.9504180Z         >>>     nn.Linear(50, 50),
2025-08-26T19:47:09.9504240Z         >>>     nn.Unflatten(1, (2, 5, 5))
2025-08-26T19:47:09.9504290Z         >>> )
2025-08-26T19:47:09.9504340Z         >>> output = m(input)
2025-08-26T19:47:09.9504390Z         >>> output.size()
2025-08-26T19:47:09.9504440Z         torch.Size([2, 2, 5, 5])
2025-08-26T19:47:09.9504500Z         >>> # With torch.Size
2025-08-26T19:47:09.9504550Z         >>> m = nn.Sequential(
2025-08-26T19:47:09.9504600Z         >>>     nn.Linear(50, 50),
2025-08-26T19:47:09.9504680Z         >>>     nn.Unflatten(1, torch.Size([2, 5, 5]))
2025-08-26T19:47:09.9504720Z         >>> )
2025-08-26T19:47:09.9504770Z         >>> output = m(input)
2025-08-26T19:47:09.9504820Z         >>> output.size()
2025-08-26T19:47:09.9504910Z         torch.Size([2, 2, 5, 5])
2025-08-26T19:47:09.9504990Z         >>> # With namedshape (tuple of tuples)
2025-08-26T19:47:09.9505080Z         >>> input = torch.randn(2, 50, names=("N", "features"))
2025-08-26T19:47:09.9505230Z         >>> unflatten = nn.Unflatten("features", (("C", 2), ("H", 5), ("W", 5)))
2025-08-26T19:47:09.9505290Z         >>> output = unflatten(input)
2025-08-26T19:47:09.9505340Z         >>> output.size()
2025-08-26T19:47:09.9505390Z         torch.Size([2, 2, 5, 5])
2025-08-26T19:47:09.9505440Z     
2025-08-26T19:47:09.9505580Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9505630Z     
2025-08-26T19:47:09.9505680Z       warnings.warn(msg)
2025-08-26T19:47:09.9505720Z     
2025-08-26T19:47:09.9505810Z --- Parse Warning: 42 / 146 ---
2025-08-26T19:47:09.9506490Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=603.
2025-08-26T19:47:09.9506650Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9506760Z     Applies Batch Normalization over a N-Dimensional input.
2025-08-26T19:47:09.9506950Z     
2025-08-26T19:47:09.9507160Z         The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper
2025-08-26T19:47:09.9507300Z         `Batch Normalization: Accelerating Deep Network Training by Reducing
2025-08-26T19:47:09.9507440Z         Internal Covariate Shift <https://arxiv.org/abs/1502.03167>`__ .
2025-08-26T19:47:09.9507480Z     
2025-08-26T19:47:09.9507520Z         .. math::
2025-08-26T19:47:09.9507560Z     
2025-08-26T19:47:09.9507700Z             y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta
2025-08-26T19:47:09.9507740Z     
2025-08-26T19:47:09.9507880Z         The mean and standard-deviation are calculated per-dimension over all
2025-08-26T19:47:09.9508020Z         mini-batches of the same process groups. :math:`\gamma` and :math:`\beta`
2025-08-26T19:47:09.9508170Z         are learnable parameter vectors of size `C` (where `C` is the input size).
2025-08-26T19:47:09.9508290Z         By default, the elements of :math:`\gamma` are sampled from
2025-08-26T19:47:09.9508410Z         :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0.
2025-08-26T19:47:09.9508570Z         The standard-deviation is calculated via the biased estimator, equivalent to
2025-08-26T19:47:09.9508630Z         `torch.var(input, unbiased=False)`.
2025-08-26T19:47:09.9508670Z     
2025-08-26T19:47:09.9508810Z         Also by default, during training this layer keeps running estimates of its
2025-08-26T19:47:09.9508950Z         computed mean and variance, which are then used for normalization during
2025-08-26T19:47:09.9509100Z         evaluation. The running estimates are kept with a default :attr:`momentum`
2025-08-26T19:47:09.9509150Z         of 0.1.
2025-08-26T19:47:09.9509190Z     
2025-08-26T19:47:09.9509330Z         If :attr:`track_running_stats` is set to ``False``, this layer then does not
2025-08-26T19:47:09.9509460Z         keep running estimates, and batch statistics are instead used during
2025-08-26T19:47:09.9509520Z         evaluation time as well.
2025-08-26T19:47:09.9509560Z     
2025-08-26T19:47:09.9509600Z         .. note::
2025-08-26T19:47:09.9509740Z             This :attr:`momentum` argument is different from one used in optimizer
2025-08-26T19:47:09.9509870Z             classes and the conventional notion of momentum. Mathematically, the
2025-08-26T19:47:09.9509950Z             update rule for running statistics here is
2025-08-26T19:47:09.9510120Z             :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`,
2025-08-26T19:47:09.9510290Z             where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the
2025-08-26T19:47:09.9510340Z             new observed value.
2025-08-26T19:47:09.9510390Z     
2025-08-26T19:47:09.9510570Z         Because the Batch Normalization is done for each channel in the ``C`` dimension, computing
2025-08-26T19:47:09.9510750Z         statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch
2025-08-26T19:47:09.9510860Z         Normalization or Spatio-temporal Batch Normalization.
2025-08-26T19:47:09.9510900Z     
2025-08-26T19:47:09.9510990Z         Currently :class:`SyncBatchNorm` only supports
2025-08-26T19:47:09.9511160Z         :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use
2025-08-26T19:47:09.9511290Z         :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert
2025-08-26T19:47:09.9511420Z         :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping
2025-08-26T19:47:09.9511470Z         Network with DDP.
2025-08-26T19:47:09.9511510Z     
2025-08-26T19:47:09.9511550Z         Args:
2025-08-26T19:47:09.9511650Z             num_features: :math:`C` from an expected input of size
2025-08-26T19:47:09.9511710Z                 :math:`(N, C, +)`
2025-08-26T19:47:09.9511830Z             eps: a value added to the denominator for numerical stability.
2025-08-26T19:47:09.9511890Z                 Default: ``1e-5``
2025-08-26T19:47:09.9512020Z             momentum: the value used for the running_mean and running_var
2025-08-26T19:47:09.9512150Z                 computation. Can be set to ``None`` for cumulative moving average
2025-08-26T19:47:09.9512230Z                 (i.e. simple average). Default: 0.1
2025-08-26T19:47:09.9512350Z             affine: a boolean value that when set to ``True``, this module has
2025-08-26T19:47:09.9512440Z                 learnable affine parameters. Default: ``True``
2025-08-26T19:47:09.9512570Z             track_running_stats: a boolean value that when set to ``True``, this
2025-08-26T19:47:09.9512720Z                 module tracks the running mean and variance, and when set to ``False``,
2025-08-26T19:47:09.9512850Z                 this module does not track such statistics, and initializes statistics
2025-08-26T19:47:09.9512970Z                 buffers :attr:`running_mean` and :attr:`running_var` as ``None``.
2025-08-26T19:47:09.9513120Z                 When these buffers are ``None``, this module always uses batch statistics.
2025-08-26T19:47:09.9513210Z                 in both training and eval modes. Default: ``True``
2025-08-26T19:47:09.9513360Z             process_group: synchronization of stats happen within each process group
2025-08-26T19:47:09.9513490Z                 individually. Default behavior is synchronization across the whole
2025-08-26T19:47:09.9513540Z                 world
2025-08-26T19:47:09.9513580Z     
2025-08-26T19:47:09.9513620Z         Shape:
2025-08-26T19:47:09.9513680Z             - Input: :math:`(N, C, +)`
2025-08-26T19:47:09.9513770Z             - Output: :math:`(N, C, +)` (same shape as input)
2025-08-26T19:47:09.9513810Z     
2025-08-26T19:47:09.9513860Z         .. note::
2025-08-26T19:47:09.9514010Z             Synchronization of batchnorm statistics occurs only while training, i.e.
2025-08-26T19:47:09.9514130Z             synchronization is disabled when ``model.eval()`` is set or if
2025-08-26T19:47:09.9514210Z             ``self.training`` is otherwise ``False``.
2025-08-26T19:47:09.9514250Z     
2025-08-26T19:47:09.9514300Z         Examples::
2025-08-26T19:47:09.9514340Z     
2025-08-26T19:47:09.9514390Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9514450Z             >>> # With Learnable Parameters
2025-08-26T19:47:09.9514510Z             >>> m = nn.SyncBatchNorm(100)
2025-08-26T19:47:09.9514590Z             >>> # creating process group (optional)
2025-08-26T19:47:09.9514670Z             >>> # ranks is a list of int identifying rank ids.
2025-08-26T19:47:09.9514730Z             >>> ranks = list(range(8))
2025-08-26T19:47:09.9514790Z             >>> r1, r2 = ranks[:4], ranks[4:]
2025-08-26T19:47:09.9514940Z             >>> # Note: every rank calls into new_group for every
2025-08-26T19:47:09.9515040Z             >>> # process group created, even if that rank is not
2025-08-26T19:47:09.9515100Z             >>> # part of the group.
2025-08-26T19:47:09.9515280Z             >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-08-26T19:47:09.9515410Z             >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-08-26T19:47:09.9515480Z             >>> # Without Learnable Parameters
2025-08-26T19:47:09.9515600Z             >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group)
2025-08-26T19:47:09.9515680Z             >>> input = torch.randn(20, 100, 35, 45, 10)
2025-08-26T19:47:09.9515730Z             >>> output = m(input)
2025-08-26T19:47:09.9515770Z     
2025-08-26T19:47:09.9515840Z             >>> # network is nn.BatchNorm layer
2025-08-26T19:47:09.9516010Z             >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group)
2025-08-26T19:47:09.9516110Z             >>> # only single gpu per process is currently supported
2025-08-26T19:47:09.9516250Z             >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel(
2025-08-26T19:47:09.9516320Z             >>>                         sync_bn_network,
2025-08-26T19:47:09.9516440Z             >>>                         device_ids=[args.local_rank],
2025-08-26T19:47:09.9516520Z             >>>                         output_device=args.local_rank)
2025-08-26T19:47:09.9516560Z         
2025-08-26T19:47:09.9516720Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9516760Z     
2025-08-26T19:47:09.9516810Z       warnings.warn(msg)
2025-08-26T19:47:09.9516850Z     
2025-08-26T19:47:09.9516970Z --- Parse Warning: 43 / 146 ---
2025-08-26T19:47:09.9517700Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=830.
2025-08-26T19:47:09.9517870Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9518060Z     Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers.
2025-08-26T19:47:09.9518100Z     
2025-08-26T19:47:09.9518140Z             Args:
2025-08-26T19:47:09.9518300Z                 module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers
2025-08-26T19:47:09.9518430Z                 process_group (optional): process group to scope synchronization,
2025-08-26T19:47:09.9518490Z                     default is the whole world
2025-08-26T19:47:09.9518530Z     
2025-08-26T19:47:09.9518580Z             Returns:
2025-08-26T19:47:09.9518730Z                 The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm`
2025-08-26T19:47:09.9518870Z                 layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer,
2025-08-26T19:47:09.9519000Z                 a new :class:`torch.nn.SyncBatchNorm` layer object will be returned
2025-08-26T19:47:09.9519050Z                 instead.
2025-08-26T19:47:09.9519100Z     
2025-08-26T19:47:09.9519140Z             Example::
2025-08-26T19:47:09.9519190Z     
2025-08-26T19:47:09.9519270Z                 >>> # Network with nn.BatchNorm layer
2025-08-26T19:47:09.9519350Z                 >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-26T19:47:09.9519420Z                 >>> module = torch.nn.Sequential(
2025-08-26T19:47:09.9519500Z                 >>>            torch.nn.Linear(20, 100),
2025-08-26T19:47:09.9519570Z                 >>>            torch.nn.BatchNorm1d(100),
2025-08-26T19:47:09.9519630Z                 >>>          ).cuda()
2025-08-26T19:47:09.9519700Z                 >>> # creating process group (optional)
2025-08-26T19:47:09.9523390Z                 >>> # ranks is a list of int identifying rank ids.
2025-08-26T19:47:09.9523480Z                 >>> ranks = list(range(8))
2025-08-26T19:47:09.9523550Z                 >>> r1, r2 = ranks[:4], ranks[4:]
2025-08-26T19:47:09.9523660Z                 >>> # Note: every rank calls into new_group for every
2025-08-26T19:47:09.9523770Z                 >>> # process group created, even if that rank is not
2025-08-26T19:47:09.9523820Z                 >>> # part of the group.
2025-08-26T19:47:09.9523900Z                 >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:09.9524050Z                 >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-08-26T19:47:09.9524180Z                 >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-08-26T19:47:09.9524360Z                 >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group)
2025-08-26T19:47:09.9524400Z     
2025-08-26T19:47:09.9524440Z             
2025-08-26T19:47:09.9524590Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9524630Z     
2025-08-26T19:47:09.9524690Z       warnings.warn(msg)
2025-08-26T19:47:09.9524730Z     
2025-08-26T19:47:09.9524860Z --- Parse Warning: 44 / 146 ---
2025-08-26T19:47:09.9525520Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MaxUnpool2d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/pooling.py line=410.
2025-08-26T19:47:09.9525700Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9525800Z     Computes a partial inverse of :class:`MaxPool2d`.
2025-08-26T19:47:09.9525830Z     
2025-08-26T19:47:09.9525990Z         :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost.
2025-08-26T19:47:09.9526030Z     
2025-08-26T19:47:09.9526170Z         :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d`
2025-08-26T19:47:09.9526320Z         including the indices of the maximal values and computes a partial inverse
2025-08-26T19:47:09.9526410Z         in which all non-maximal values are set to zero.
2025-08-26T19:47:09.9526450Z     
2025-08-26T19:47:09.9526490Z         Note:
2025-08-26T19:47:09.9526680Z             This operation may behave nondeterministically when the input indices has repeat values.
2025-08-26T19:47:09.9526910Z             See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information.
2025-08-26T19:47:09.9526950Z     
2025-08-26T19:47:09.9527090Z         .. note:: :class:`MaxPool2d` can map several input sizes to the same output
2025-08-26T19:47:09.9527200Z                   sizes. Hence, the inversion process can get ambiguous.
2025-08-26T19:47:09.9527310Z                   To accommodate this, you can provide the needed output size
2025-08-26T19:47:09.9527450Z                   as an additional argument :attr:`output_size` in the forward call.
2025-08-26T19:47:09.9527520Z                   See the Inputs and Example below.
2025-08-26T19:47:09.9527560Z     
2025-08-26T19:47:09.9527600Z         Args:
2025-08-26T19:47:09.9527720Z             kernel_size (int or tuple): Size of the max pooling window.
2025-08-26T19:47:09.9527820Z             stride (int or tuple): Stride of the max pooling window.
2025-08-26T19:47:09.9527900Z                 It is set to :attr:`kernel_size` by default.
2025-08-26T19:47:09.9528020Z             padding (int or tuple): Padding that was added to the input
2025-08-26T19:47:09.9528060Z     
2025-08-26T19:47:09.9528100Z         Inputs:
2025-08-26T19:47:09.9528180Z             - `input`: the input Tensor to invert
2025-08-26T19:47:09.9528300Z             - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d`
2025-08-26T19:47:09.9528400Z             - `output_size` (optional): the targeted output size
2025-08-26T19:47:09.9528430Z     
2025-08-26T19:47:09.9528530Z         Shape:
2025-08-26T19:47:09.9528650Z             - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`.
2025-08-26T19:47:09.9528780Z             - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where
2025-08-26T19:47:09.9528850Z     
2025-08-26T19:47:09.9528890Z               .. math::
2025-08-26T19:47:09.9529060Z                 H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]}
2025-08-26T19:47:09.9529100Z     
2025-08-26T19:47:09.9529150Z               .. math::
2025-08-26T19:47:09.9529300Z                 W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]}
2025-08-26T19:47:09.9529340Z     
2025-08-26T19:47:09.9529440Z               or as given by :attr:`output_size` in the call operator
2025-08-26T19:47:09.9529480Z     
2025-08-26T19:47:09.9529530Z         Example::
2025-08-26T19:47:09.9529570Z     
2025-08-26T19:47:09.9529670Z             >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True)
2025-08-26T19:47:09.9529740Z             >>> unpool = nn.MaxUnpool2d(2, stride=2)
2025-08-26T19:47:09.9529830Z             >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.],
2025-08-26T19:47:09.9529900Z                                         [ 5.,  6.,  7.,  8.],
2025-08-26T19:47:09.9530000Z                                         [ 9., 10., 11., 12.],
2025-08-26T19:47:09.9530070Z                                         [13., 14., 15., 16.]]]])
2025-08-26T19:47:09.9530140Z             >>> output, indices = pool(input)
2025-08-26T19:47:09.9530190Z             >>> unpool(output, indices)
2025-08-26T19:47:09.9530260Z             tensor([[[[  0.,   0.,   0.,   0.],
2025-08-26T19:47:09.9530310Z                       [  0.,   6.,   0.,   8.],
2025-08-26T19:47:09.9530370Z                       [  0.,   0.,   0.,   0.],
2025-08-26T19:47:09.9530430Z                       [  0.,  14.,   0.,  16.]]]])
2025-08-26T19:47:09.9530560Z             >>> # Now using output_size to resolve an ambiguous size for the inverse
2025-08-26T19:47:09.9530650Z             >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.,  5.],
2025-08-26T19:47:09.9530730Z                                         [ 6.,  7.,  8.,  9., 10.],
2025-08-26T19:47:09.9530790Z                                         [11., 12., 13., 14., 15.],
2025-08-26T19:47:09.9530870Z                                         [16., 17., 18., 19., 20.]]]])
2025-08-26T19:47:09.9530940Z             >>> output, indices = pool(input)
2025-08-26T19:47:09.9531040Z             >>> # This call will not work without specifying output_size
2025-08-26T19:47:09.9531140Z             >>> unpool(output, indices, output_size=input.size())
2025-08-26T19:47:09.9531200Z             tensor([[[[ 0.,  0.,  0.,  0.,  0.],
2025-08-26T19:47:09.9531260Z                       [ 0.,  7.,  0.,  9.,  0.],
2025-08-26T19:47:09.9531310Z                       [ 0.,  0.,  0.,  0.,  0.],
2025-08-26T19:47:09.9531370Z                       [ 0., 17.,  0., 19.,  0.]]]])
2025-08-26T19:47:09.9531420Z     
2025-08-26T19:47:09.9531460Z     
2025-08-26T19:47:09.9531500Z         
2025-08-26T19:47:09.9531650Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9531690Z     
2025-08-26T19:47:09.9531740Z       warnings.warn(msg)
2025-08-26T19:47:09.9531780Z     
2025-08-26T19:47:09.9531880Z --- Parse Warning: 45 / 146 ---
2025-08-26T19:47:09.9532590Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1798.
2025-08-26T19:47:09.9532750Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9532870Z     Creates a criterion that measures the triplet loss given input
2025-08-26T19:47:09.9533020Z         tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor,
2025-08-26T19:47:09.9533150Z         positive, and negative examples, respectively), and a nonnegative,
2025-08-26T19:47:09.9533300Z         real-valued function ("distance function") used to compute the relationship
2025-08-26T19:47:09.9533460Z         between the anchor and positive example ("positive distance") and the
2025-08-26T19:47:09.9533550Z         anchor and negative example ("negative distance").
2025-08-26T19:47:09.9533590Z     
2025-08-26T19:47:09.9533710Z         The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``)
2025-08-26T19:47:09.9533770Z         can be described as:
2025-08-26T19:47:09.9533810Z     
2025-08-26T19:47:09.9533850Z         .. math::
2025-08-26T19:47:09.9533940Z             \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad
2025-08-26T19:47:09.9534030Z             l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\}
2025-08-26T19:47:09.9534070Z     
2025-08-26T19:47:09.9534230Z         where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function
2025-08-26T19:47:09.9534410Z         quantifying the closeness of two tensors, referred to as the :attr:`distance_function`;
2025-08-26T19:47:09.9534560Z         and :math:`margin` is a nonnegative margin representing the minimum difference
2025-08-26T19:47:09.9534700Z         between the positive and negative distances that is required for the loss to
2025-08-26T19:47:09.9534870Z         be 0.  The input tensors have :math:`N` elements each and can be of any shape
2025-08-26T19:47:09.9534940Z         that the distance function can handle.
2025-08-26T19:47:09.9534980Z     
2025-08-26T19:47:09.9535050Z         If :attr:`reduction` is not ``'none'``
2025-08-26T19:47:09.9535100Z         (default ``'mean'``), then:
2025-08-26T19:47:09.9535140Z     
2025-08-26T19:47:09.9535190Z         .. math::
2025-08-26T19:47:09.9535230Z             \ell(x, y) =
2025-08-26T19:47:09.9535280Z             \begin{cases}
2025-08-26T19:47:09.9535410Z                 \operatorname{mean}(L), &  \text{if reduction} = \text{`mean';}\\
2025-08-26T19:47:09.9535530Z                 \operatorname{sum}(L),  &  \text{if reduction} = \text{`sum'.}
2025-08-26T19:47:09.9535570Z             \end{cases}
2025-08-26T19:47:09.9535610Z     
2025-08-26T19:47:09.9535760Z         See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet
2025-08-26T19:47:09.9535910Z         loss for input tensors using the :math:`l_p` distance as the distance function.
2025-08-26T19:47:09.9535950Z     
2025-08-26T19:47:09.9536000Z         Args:
2025-08-26T19:47:09.9536160Z             distance_function (Callable, optional): A nonnegative, real-valued function that
2025-08-26T19:47:09.9536280Z                 quantifies the closeness of two tensors. If not specified,
2025-08-26T19:47:09.9536390Z                 `nn.PairwiseDistance` will be used.  Default: ``None``
2025-08-26T19:47:09.9536550Z             margin (float, optional): A nonnegative margin representing the minimum difference
2025-08-26T19:47:09.9536720Z                 between the positive and negative distances required for the loss to be 0. Larger
2025-08-26T19:47:09.9536930Z                 margins penalize cases where the negative examples are not distant enough from the
2025-08-26T19:47:09.9537040Z                 anchors, relative to the positives. Default: :math:`1`.
2025-08-26T19:47:09.9537190Z             swap (bool, optional): Whether to use the distance swap described in the paper
2025-08-26T19:47:09.9537340Z                 `Learning shallow convolutional feature descriptors with triplet losses` by
2025-08-26T19:47:09.9537490Z                 V. Balntas, E. Riba et al. If True, and if the positive example is closer to the
2025-08-26T19:47:09.9537650Z                 negative example than the anchor is, swaps the positive example and the anchor in
2025-08-26T19:47:09.9537730Z                 the loss computation. Default: ``False``.
2025-08-26T19:47:09.9537900Z             reduction (str, optional): Specifies the (optional) reduction to apply to the output:
2025-08-26T19:47:09.9538080Z                 ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-08-26T19:47:09.9538190Z                 ``'mean'``: the sum of the output will be divided by the number of
2025-08-26T19:47:09.9538370Z                 elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'``
2025-08-26T19:47:09.9538410Z     
2025-08-26T19:47:09.9538450Z     
2025-08-26T19:47:09.9538500Z         Shape:
2025-08-26T19:47:09.9538650Z             - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions
2025-08-26T19:47:09.9538730Z               as supported by the distance function.
2025-08-26T19:47:09.9538880Z             - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar
2025-08-26T19:47:09.9538930Z               otherwise.
2025-08-26T19:47:09.9538970Z     
2025-08-26T19:47:09.9539010Z         Examples:
2025-08-26T19:47:09.9539050Z     
2025-08-26T19:47:09.9539110Z         >>> # Initialize embeddings
2025-08-26T19:47:09.9539170Z         >>> embedding = nn.Embedding(1000, 128)
2025-08-26T19:47:09.9539260Z         >>> anchor_ids = torch.randint(0, 1000, (1,))
2025-08-26T19:47:09.9539340Z         >>> positive_ids = torch.randint(0, 1000, (1,))
2025-08-26T19:47:09.9539420Z         >>> negative_ids = torch.randint(0, 1000, (1,))
2025-08-26T19:47:09.9539510Z         >>> anchor = embedding(anchor_ids)
2025-08-26T19:47:09.9539590Z         >>> positive = embedding(positive_ids)
2025-08-26T19:47:09.9539650Z         >>> negative = embedding(negative_ids)
2025-08-26T19:47:09.9539700Z         >>>
2025-08-26T19:47:09.9539760Z         >>> # Built-in Distance Function
2025-08-26T19:47:09.9539810Z         >>> triplet_loss = \
2025-08-26T19:47:09.9539980Z         >>>     nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance())
2025-08-26T19:47:09.9540070Z         >>> output = triplet_loss(anchor, positive, negative)
2025-08-26T19:47:09.9540130Z         >>> output.backward()
2025-08-26T19:47:09.9540170Z         >>>
2025-08-26T19:47:09.9540230Z         >>> # Custom Distance Function
2025-08-26T19:47:09.9540280Z         >>> def l_infinity(x1, x2):
2025-08-26T19:47:09.9540380Z         >>>     return torch.max(torch.abs(x1 - x2), dim=1).values
2025-08-26T19:47:09.9540420Z         >>>
2025-08-26T19:47:09.9540550Z         >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time")
2025-08-26T19:47:09.9540600Z         >>> triplet_loss = (
2025-08-26T19:47:09.9540770Z         >>>     nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5))
2025-08-26T19:47:09.9540860Z         >>> output = triplet_loss(anchor, positive, negative)
2025-08-26T19:47:09.9540910Z         >>> output.backward()
2025-08-26T19:47:09.9540950Z         >>>
2025-08-26T19:47:09.9541020Z         >>> # Custom Distance Function (Lambda)
2025-08-26T19:47:09.9541070Z         >>> triplet_loss = (
2025-08-26T19:47:09.9541150Z         >>>     nn.TripletMarginWithDistanceLoss(
2025-08-26T19:47:09.9541280Z         >>>         distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y)))
2025-08-26T19:47:09.9541370Z         >>> output = triplet_loss(anchor, positive, negative)
2025-08-26T19:47:09.9541430Z         >>> output.backward()
2025-08-26T19:47:09.9541470Z     
2025-08-26T19:47:09.9541510Z         Reference:
2025-08-26T19:47:09.9541700Z             V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses:
2025-08-26T19:47:09.9541840Z             https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html
2025-08-26T19:47:09.9541880Z         
2025-08-26T19:47:09.9542030Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17))
2025-08-26T19:47:09.9542070Z     
2025-08-26T19:47:09.9542120Z       warnings.warn(msg)
2025-08-26T19:47:09.9542160Z     
2025-08-26T19:47:09.9542260Z --- Parse Warning: 46 / 146 ---
2025-08-26T19:47:09.9542950Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CTCLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1933.
2025-08-26T19:47:09.9543130Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9543220Z     The Connectionist Temporal Classification loss.
2025-08-26T19:47:09.9543260Z     
2025-08-26T19:47:09.9543490Z         Calculates loss between a continuous (unsegmented) time series and a target sequence. CTCLoss sums over the
2025-08-26T19:47:09.9543700Z         probability of possible alignments of input to target, producing a loss value which is differentiable
2025-08-26T19:47:09.9543900Z         with respect to each input node. The alignment of input to target is assumed to be "many-to-one", which
2025-08-26T19:47:09.9544080Z         limits the length of the target sequence such that it must be :math:`\leq` the input length.
2025-08-26T19:47:09.9544120Z     
2025-08-26T19:47:09.9544160Z         Args:
2025-08-26T19:47:09.9544270Z             blank (int, optional): blank label. Default :math:`0`.
2025-08-26T19:47:09.9544420Z             reduction (str, optional): Specifies the reduction to apply to the output:
2025-08-26T19:47:09.9544540Z                 ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-08-26T19:47:09.9544690Z                 ``'mean'``: the output losses will be divided by the target lengths and
2025-08-26T19:47:09.9544850Z                 then the mean over the batch is taken, ``'sum'``: the output losses will be summed.
2025-08-26T19:47:09.9544910Z                 Default: ``'mean'``
2025-08-26T19:47:09.9544970Z             zero_infinity (bool, optional):
2025-08-26T19:47:09.9545090Z                 Whether to zero infinite losses and the associated gradients.
2025-08-26T19:47:09.9545150Z                 Default: ``False``
2025-08-26T19:47:09.9545260Z                 Infinite losses mainly occur when the inputs are too short
2025-08-26T19:47:09.9545330Z                 to be aligned to the targets.
2025-08-26T19:47:09.9545370Z     
2025-08-26T19:47:09.9545420Z         Shape:
2025-08-26T19:47:09.9545530Z             - Log_probs: Tensor of size :math:`(T, N, C)` or :math:`(T, C)`,
2025-08-26T19:47:09.9545610Z               where :math:`T = \text{input length}`,
2025-08-26T19:47:09.9545680Z               :math:`N = \text{batch size}`, and
2025-08-26T19:47:09.9545780Z               :math:`C = \text{number of classes (including blank)}`.
2025-08-26T19:47:09.9545910Z               The logarithmized probabilities of the outputs (e.g. obtained with
2025-08-26T19:47:09.9545990Z               :func:`torch.nn.functional.log_softmax`).
2025-08-26T19:47:09.9546070Z             - Targets: Tensor of size :math:`(N, S)` or
2025-08-26T19:47:09.9546170Z               :math:`(\operatorname{sum}(\text{target\_lengths}))`,
2025-08-26T19:47:09.9546250Z               where :math:`N = \text{batch size}` and
2025-08-26T19:47:09.9546350Z               :math:`S = \text{max target length, if shape is } (N, S)`.
2025-08-26T19:47:09.9546480Z               It represents the target sequences. Each element in the target
2025-08-26T19:47:09.9546630Z               sequence is a class index. And the target index cannot be blank (default=0).
2025-08-26T19:47:09.9546730Z               In the :math:`(N, S)` form, targets are padded to the
2025-08-26T19:47:09.9546820Z               length of the longest sequence, and stacked.
2025-08-26T19:47:09.9546930Z               In the :math:`(\operatorname{sum}(\text{target\_lengths}))` form,
2025-08-26T19:47:09.9547020Z               the targets are assumed to be un-padded and
2025-08-26T19:47:09.9547090Z               concatenated within 1 dimension.
2025-08-26T19:47:09.9547230Z             - Input_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-08-26T19:47:09.9547350Z               where :math:`N = \text{batch size}`. It represents the lengths of the
2025-08-26T19:47:09.9547520Z               inputs (must each be :math:`\leq T`). And the lengths are specified
2025-08-26T19:47:09.9547660Z               for each sequence to achieve masking under the assumption that sequences
2025-08-26T19:47:09.9547750Z               are padded to equal lengths.
2025-08-26T19:47:09.9547880Z             - Target_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-08-26T19:47:09.9548020Z               where :math:`N = \text{batch size}`. It represents lengths of the targets.
2025-08-26T19:47:09.9548150Z               Lengths are specified for each sequence to achieve masking under the
2025-08-26T19:47:09.9548290Z               assumption that sequences are padded to equal lengths. If target shape is
2025-08-26T19:47:09.9548400Z               :math:`(N,S)`, target_lengths are effectively the stop index
2025-08-26T19:47:09.9548550Z               :math:`s_n` for each target sequence, such that ``target_n = targets[n,0:s_n]`` for
2025-08-26T19:47:09.9548660Z               each target in a batch. Lengths must each be :math:`\leq S`
2025-08-26T19:47:09.9548810Z               If the targets are given as a 1d tensor that is the concatenation of individual
2025-08-26T19:47:09.9548960Z               targets, the target_lengths must add up to the total length of the tensor.
2025-08-26T19:47:09.9549080Z             - Output: scalar if :attr:`reduction` is ``'mean'`` (default) or
2025-08-26T19:47:09.9549250Z               ``'sum'``. If :attr:`reduction` is ``'none'``, then :math:`(N)` if input is batched or
2025-08-26T19:47:09.9549370Z               :math:`()` if input is unbatched, where :math:`N = \text{batch size}`.
2025-08-26T19:47:09.9549410Z     
2025-08-26T19:47:09.9549460Z         Examples:
2025-08-26T19:47:09.9549500Z     
2025-08-26T19:47:09.9549560Z             >>> # Target are to be padded
2025-08-26T19:47:09.9549630Z             >>> T = 50  # Input sequence length
2025-08-26T19:47:09.9549720Z             >>> C = 20  # Number of classes (including blank)
2025-08-26T19:47:09.9549780Z             >>> N = 16  # Batch size
2025-08-26T19:47:09.9549930Z             >>> S = 30  # Target sequence length of longest target in batch (padding length)
2025-08-26T19:47:09.9550050Z             >>> S_min = 10  # Minimum target length, for demonstration purposes
2025-08-26T19:47:09.9550090Z             >>>
2025-08-26T19:47:09.9550220Z             >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-08-26T19:47:09.9550350Z             >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-08-26T19:47:09.9550390Z             >>>
2025-08-26T19:47:09.9550510Z             >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-08-26T19:47:09.9550640Z             >>> target = torch.randint(low=1, high=C, size=(N, S), dtype=torch.long)
2025-08-26T19:47:09.9550680Z             >>>
2025-08-26T19:47:09.9550820Z             >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-08-26T19:47:09.9550890Z             >>> target_lengths = torch.randint(
2025-08-26T19:47:09.9550940Z             ...     low=S_min,
2025-08-26T19:47:09.9551000Z             ...     high=S,
2025-08-26T19:47:09.9551050Z             ...     size=(N,),
2025-08-26T19:47:09.9551100Z             ...     dtype=torch.long,
2025-08-26T19:47:09.9551150Z             ... )
2025-08-26T19:47:09.9551210Z             >>> ctc_loss = nn.CTCLoss()
2025-08-26T19:47:09.9551320Z             >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-08-26T19:47:09.9551380Z             >>> loss.backward()
2025-08-26T19:47:09.9551420Z             >>>
2025-08-26T19:47:09.9551460Z             >>>
2025-08-26T19:47:09.9551520Z             >>> # Target are to be un-padded
2025-08-26T19:47:09.9551590Z             >>> T = 50  # Input sequence length
2025-08-26T19:47:09.9551670Z             >>> C = 20  # Number of classes (including blank)
2025-08-26T19:47:09.9551720Z             >>> N = 16  # Batch size
2025-08-26T19:47:09.9551760Z             >>>
2025-08-26T19:47:09.9551910Z             >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-08-26T19:47:09.9552040Z             >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-08-26T19:47:09.9552180Z             >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-08-26T19:47:09.9552240Z             >>>
2025-08-26T19:47:09.9552360Z             >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-08-26T19:47:09.9552510Z             >>> target_lengths = torch.randint(low=1, high=T, size=(N,), dtype=torch.long)
2025-08-26T19:47:09.9552560Z             >>> target = torch.randint(
2025-08-26T19:47:09.9552620Z             ...     low=1,
2025-08-26T19:47:09.9552670Z             ...     high=C,
2025-08-26T19:47:09.9552740Z             ...     size=(sum(target_lengths),),
2025-08-26T19:47:09.9552790Z             ...     dtype=torch.long,
2025-08-26T19:47:09.9552830Z             ... )
2025-08-26T19:47:09.9552890Z             >>> ctc_loss = nn.CTCLoss()
2025-08-26T19:47:09.9553000Z             >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-08-26T19:47:09.9553060Z             >>> loss.backward()
2025-08-26T19:47:09.9553100Z             >>>
2025-08-26T19:47:09.9553140Z             >>>
2025-08-26T19:47:09.9553250Z             >>> # Target are to be un-padded and unbatched (effectively N=1)
2025-08-26T19:47:09.9553340Z             >>> T = 50  # Input sequence length
2025-08-26T19:47:09.9553430Z             >>> C = 20  # Number of classes (including blank)
2025-08-26T19:47:09.9553470Z             >>>
2025-08-26T19:47:09.9553580Z             >>> # Initialize random batch of input vectors, for *size = (T,C)
2025-08-26T19:47:09.9553670Z             >>> # xdoctest: +SKIP("FIXME: error in doctest")
2025-08-26T19:47:09.9553790Z             >>> input = torch.randn(T, C).log_softmax(1).detach().requires_grad_()
2025-08-26T19:47:09.9553880Z             >>> input_lengths = torch.tensor(T, dtype=torch.long)
2025-08-26T19:47:09.9553920Z             >>>
2025-08-26T19:47:09.9554050Z             >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-08-26T19:47:09.9554200Z             >>> target_lengths = torch.randint(low=1, high=T, size=(), dtype=torch.long)
2025-08-26T19:47:09.9554260Z             >>> target = torch.randint(
2025-08-26T19:47:09.9554310Z             ...     low=1,
2025-08-26T19:47:09.9554350Z             ...     high=C,
2025-08-26T19:47:09.9554410Z             ...     size=(target_lengths,),
2025-08-26T19:47:09.9554470Z             ...     dtype=torch.long,
2025-08-26T19:47:09.9554510Z             ... )
2025-08-26T19:47:09.9554570Z             >>> ctc_loss = nn.CTCLoss()
2025-08-26T19:47:09.9554680Z             >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-08-26T19:47:09.9554740Z             >>> loss.backward()
2025-08-26T19:47:09.9554780Z     
2025-08-26T19:47:09.9554830Z         Reference:
2025-08-26T19:47:09.9554940Z             A. Graves et al.: Connectionist Temporal Classification:
2025-08-26T19:47:09.9555080Z             Labelling Unsegmented Sequence Data with Recurrent Neural Networks:
2025-08-26T19:47:09.9555180Z             https://www.cs.toronto.edu/~graves/icml_2006.pdf
2025-08-26T19:47:09.9555220Z     
2025-08-26T19:47:09.9555260Z         Note:
2025-08-26T19:47:09.9555410Z             In order to use CuDNN, the following must be satisfied: :attr:`targets` must be
2025-08-26T19:47:09.9555570Z             in concatenated format, all :attr:`input_lengths` must be `T`.  :math:`blank=0`,
2025-08-26T19:47:09.9555700Z             :attr:`target_lengths` :math:`\leq 256`, the integer arguments must be of
2025-08-26T19:47:09.9555760Z             dtype :attr:`torch.int32`.
2025-08-26T19:47:09.9555800Z     
2025-08-26T19:47:09.9555970Z             The regular implementation uses the (more common in PyTorch) `torch.long` dtype.
2025-08-26T19:47:09.9556010Z     
2025-08-26T19:47:09.9556050Z     
2025-08-26T19:47:09.9556090Z         Note:
2025-08-26T19:47:09.9556240Z             In some circumstances when using the CUDA backend with CuDNN, this operator
2025-08-26T19:47:09.9556470Z             may select a nondeterministic algorithm to increase performance. If this is
2025-08-26T19:47:09.9556620Z             undesirable, you can try to make the operation deterministic (potentially at
2025-08-26T19:47:09.9556900Z             a performance cost) by setting ``torch.backends.cudnn.deterministic =
2025-08-26T19:47:09.9556950Z             True``.
2025-08-26T19:47:09.9557080Z             Please see the notes on :doc:`/notes/randomness` for background.
2025-08-26T19:47:09.9557120Z         
2025-08-26T19:47:09.9557270Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9557320Z     
2025-08-26T19:47:09.9557370Z       warnings.warn(msg)
2025-08-26T19:47:09.9557410Z     
2025-08-26T19:47:09.9557510Z --- Parse Warning: 47 / 146 ---
2025-08-26T19:47:09.9558220Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Transformer.forward in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/transformer.py line=186.
2025-08-26T19:47:09.9558380Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9558470Z     Take in and process masked source/target sequences.
2025-08-26T19:47:09.9558550Z     
2025-08-26T19:47:09.9558600Z             .. note::
2025-08-26T19:47:09.9558640Z     
2025-08-26T19:47:09.9558880Z                 If a boolean tensor is provided for any of the [src/tgt/memory]_mask arguments, positions with a ``True`` value are
2025-08-26T19:47:09.9558970Z                 not allowed to participate in the attention,
2025-08-26T19:47:09.9559090Z                 which is the opposite of the definition for :attr:`attn_mask`
2025-08-26T19:47:09.9559210Z                 in :func:`torch.nn.functional.scaled_dot_product_attention`.
2025-08-26T19:47:09.9559250Z     
2025-08-26T19:47:09.9559290Z             Args:
2025-08-26T19:47:09.9559380Z                 src: the sequence to the encoder (required).
2025-08-26T19:47:09.9559460Z                 tgt: the sequence to the decoder (required).
2025-08-26T19:47:09.9559580Z                 src_mask: the additive mask for the src sequence (optional).
2025-08-26T19:47:09.9559690Z                 tgt_mask: the additive mask for the tgt sequence (optional).
2025-08-26T19:47:09.9559810Z                 memory_mask: the additive mask for the encoder output (optional).
2025-08-26T19:47:09.9559950Z                 src_key_padding_mask: the Tensor mask for src keys per batch (optional).
2025-08-26T19:47:09.9560090Z                 tgt_key_padding_mask: the Tensor mask for tgt keys per batch (optional).
2025-08-26T19:47:09.9560250Z                 memory_key_padding_mask: the Tensor mask for memory keys per batch (optional).
2025-08-26T19:47:09.9560380Z                 src_is_causal: If specified, applies a causal mask as ``src_mask``.
2025-08-26T19:47:09.9560480Z                     Default: ``None``; try to detect a causal mask.
2025-08-26T19:47:09.9560530Z                     Warning:
2025-08-26T19:47:09.9560630Z                     ``src_is_causal`` provides a hint that ``src_mask`` is
2025-08-26T19:47:09.9560750Z                     the causal mask. Providing incorrect hints can result in
2025-08-26T19:47:09.9560850Z                     incorrect execution, including forward and backward
2025-08-26T19:47:09.9560910Z                     compatibility.
2025-08-26T19:47:09.9561050Z                 tgt_is_causal: If specified, applies a causal mask as ``tgt_mask``.
2025-08-26T19:47:09.9561140Z                     Default: ``None``; try to detect a causal mask.
2025-08-26T19:47:09.9561190Z                     Warning:
2025-08-26T19:47:09.9561280Z                     ``tgt_is_causal`` provides a hint that ``tgt_mask`` is
2025-08-26T19:47:09.9561400Z                     the causal mask. Providing incorrect hints can result in
2025-08-26T19:47:09.9561540Z                     incorrect execution, including forward and backward
2025-08-26T19:47:09.9561600Z                     compatibility.
2025-08-26T19:47:09.9561720Z                 memory_is_causal: If specified, applies a causal mask as
2025-08-26T19:47:09.9561800Z                     ``memory_mask``.
2025-08-26T19:47:09.9561850Z                     Default: ``False``.
2025-08-26T19:47:09.9561900Z                     Warning:
2025-08-26T19:47:09.9562000Z                     ``memory_is_causal`` provides a hint that
2025-08-26T19:47:09.9562100Z                     ``memory_mask`` is the causal mask. Providing incorrect
2025-08-26T19:47:09.9562210Z                     hints can result in incorrect execution, including
2025-08-26T19:47:09.9562280Z                     forward and backward compatibility.
2025-08-26T19:47:09.9562330Z     
2025-08-26T19:47:09.9562370Z             Shape:
2025-08-26T19:47:09.9562530Z                 - src: :math:`(S, E)` for unbatched input, :math:`(S, N, E)` if `batch_first=False` or
2025-08-26T19:47:09.9562610Z                   `(N, S, E)` if `batch_first=True`.
2025-08-26T19:47:09.9562760Z                 - tgt: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-08-26T19:47:09.9562830Z                   `(N, T, E)` if `batch_first=True`.
2025-08-26T19:47:09.9562950Z                 - src_mask: :math:`(S, S)` or :math:`(N\cdot\text{num\_heads}, S, S)`.
2025-08-26T19:47:09.9563100Z                 - tgt_mask: :math:`(T, T)` or :math:`(N\cdot\text{num\_heads}, T, T)`.
2025-08-26T19:47:09.9563170Z                 - memory_mask: :math:`(T, S)`.
2025-08-26T19:47:09.9563320Z                 - src_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-08-26T19:47:09.9563460Z                 - tgt_key_padding_mask: :math:`(T)` for unbatched input otherwise :math:`(N, T)`.
2025-08-26T19:47:09.9563620Z                 - memory_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-08-26T19:47:09.9563660Z     
2025-08-26T19:47:09.9563860Z                 Note: [src/tgt/memory]_mask ensures that position :math:`i` is allowed to attend the unmasked
2025-08-26T19:47:09.9563990Z                 positions. If a BoolTensor is provided, positions with ``True``
2025-08-26T19:47:09.9564150Z                 are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor
2025-08-26T19:47:09.9564260Z                 is provided, it will be added to the attention weight.
2025-08-26T19:47:09.9564450Z                 [src/tgt/memory]_key_padding_mask provides specified elements in the key to be ignored by
2025-08-26T19:47:09.9564580Z                 the attention. If a BoolTensor is provided, the positions with the
2025-08-26T19:47:09.9564780Z                 value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged.
2025-08-26T19:47:09.9564820Z     
2025-08-26T19:47:09.9564980Z                 - output: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-08-26T19:47:09.9565060Z                   `(N, T, E)` if `batch_first=True`.
2025-08-26T19:47:09.9565100Z     
2025-08-26T19:47:09.9565260Z                 Note: Due to the multi-head attention architecture in the transformer model,
2025-08-26T19:47:09.9565400Z                 the output sequence length of a transformer is same as the input sequence
2025-08-26T19:47:09.9565480Z                 (i.e. target) length of the decoder.
2025-08-26T19:47:09.9565530Z     
2025-08-26T19:47:09.9565720Z                 where :math:`S` is the source sequence length, :math:`T` is the target sequence length, :math:`N` is the
2025-08-26T19:47:09.9565810Z                 batch size, :math:`E` is the feature number
2025-08-26T19:47:09.9565850Z     
2025-08-26T19:47:09.9565900Z             Examples:
2025-08-26T19:47:09.9565960Z                 >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9566030Z                 >>> output = transformer_model(
2025-08-26T19:47:09.9566120Z                 ...     src, tgt, src_mask=src_mask, tgt_mask=tgt_mask
2025-08-26T19:47:09.9566210Z                 ... )
2025-08-26T19:47:09.9566260Z             
2025-08-26T19:47:09.9566410Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9566480Z     
2025-08-26T19:47:09.9566530Z       warnings.warn(msg)
2025-08-26T19:47:09.9566580Z     
2025-08-26T19:47:09.9566680Z --- Parse Warning: 48 / 146 ---
2025-08-26T19:47:09.9567350Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=EmbeddingBag in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/sparse.py line=272.
2025-08-26T19:47:09.9567500Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9567700Z     Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings.
2025-08-26T19:47:09.9567730Z     
2025-08-26T19:47:09.9567930Z         For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`,
2025-08-26T19:47:09.9567990Z         and with 2D inputs, this class
2025-08-26T19:47:09.9568030Z     
2025-08-26T19:47:09.9568220Z             * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``,
2025-08-26T19:47:09.9568430Z             * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``,
2025-08-26T19:47:09.9568610Z             * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``.
2025-08-26T19:47:09.9568650Z     
2025-08-26T19:47:09.9568860Z         However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these
2025-08-26T19:47:09.9568910Z         operations.
2025-08-26T19:47:09.9568950Z     
2025-08-26T19:47:09.9569100Z         EmbeddingBag also supports per-sample weights as an argument to the forward
2025-08-26T19:47:09.9569250Z         pass. This scales the output of the Embedding before performing a weighted
2025-08-26T19:47:09.9569400Z         reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the
2025-08-26T19:47:09.9569550Z         only supported ``mode`` is ``"sum"``, which computes a weighted sum according to
2025-08-26T19:47:09.9569610Z         :attr:`per_sample_weights`.
2025-08-26T19:47:09.9569650Z     
2025-08-26T19:47:09.9569690Z         Args:
2025-08-26T19:47:09.9569810Z             num_embeddings (int): size of the dictionary of embeddings
2025-08-26T19:47:09.9569910Z             embedding_dim (int): the size of each embedding vector
2025-08-26T19:47:09.9570100Z             max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm`
2025-08-26T19:47:09.9570200Z                                         is renormalized to have norm :attr:`max_norm`.
2025-08-26T19:47:09.9570410Z             norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``.
2025-08-26T19:47:09.9570610Z             scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of
2025-08-26T19:47:09.9570710Z                                                     the words in the mini-batch. Default ``False``.
2025-08-26T19:47:09.9570830Z                                                     Note: this option is not supported when ``mode="max"``.
2025-08-26T19:47:09.9570980Z             mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag.
2025-08-26T19:47:09.9571120Z                                      ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights`
2025-08-26T19:47:09.9571260Z                                      into consideration. ``"mean"`` computes the average of the values
2025-08-26T19:47:09.9571370Z                                      in the bag, ``"max"`` computes the max value over each bag.
2025-08-26T19:47:09.9571480Z                                      Default: ``"mean"``
2025-08-26T19:47:09.9571690Z             sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See
2025-08-26T19:47:09.9571870Z                                      Notes for more details regarding sparse gradients. Note: this option is not
2025-08-26T19:47:09.9571960Z                                      supported when ``mode="max"``.
2025-08-26T19:47:09.9572180Z             include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element
2025-08-26T19:47:09.9572320Z                                           is equivalent to the size of `indices`. This matches the CSR format.
2025-08-26T19:47:09.9572520Z             padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the
2025-08-26T19:47:09.9572690Z                                          gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated
2025-08-26T19:47:09.9572840Z                                          during training, i.e. it remains as a fixed "pad". For a newly constructed
2025-08-26T19:47:09.9573010Z                                          EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all
2025-08-26T19:47:09.9573180Z                                          zeros, but can be updated to another value to be used as the padding vector.
2025-08-26T19:47:09.9573340Z                                          Note that the embedding vector at :attr:`padding_idx` is excluded from the
2025-08-26T19:47:09.9573400Z                                          reduction.
2025-08-26T19:47:09.9573450Z     
2025-08-26T19:47:09.9573490Z         Attributes:
2025-08-26T19:47:09.9573680Z             weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)`
2025-08-26T19:47:09.9573770Z                              initialized from :math:`\mathcal{N}(0, 1)`.
2025-08-26T19:47:09.9573820Z     
2025-08-26T19:47:09.9573870Z         Examples::
2025-08-26T19:47:09.9573910Z     
2025-08-26T19:47:09.9574010Z             >>> # an EmbeddingBag module containing 10 tensors of size 3
2025-08-26T19:47:09.9574110Z             >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum')
2025-08-26T19:47:09.9574190Z             >>> # a batch of 2 samples of 4 indices each
2025-08-26T19:47:09.9574310Z             >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long)
2025-08-26T19:47:09.9574400Z             >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-08-26T19:47:09.9574490Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-26T19:47:09.9574560Z             >>> embedding_sum(input, offsets)
2025-08-26T19:47:09.9574630Z             tensor([[-0.8861, -5.4350, -0.0523],
2025-08-26T19:47:09.9574690Z                     [ 1.1306, -2.5798, -1.0044]])
2025-08-26T19:47:09.9574730Z     
2025-08-26T19:47:09.9574790Z             >>> # Example with padding_idx
2025-08-26T19:47:09.9574920Z             >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2)
2025-08-26T19:47:09.9575030Z             >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long)
2025-08-26T19:47:09.9575130Z             >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-08-26T19:47:09.9575190Z             >>> embedding_sum(input, offsets)
2025-08-26T19:47:09.9575260Z             tensor([[ 0.0000,  0.0000,  0.0000],
2025-08-26T19:47:09.9575320Z                     [-0.7082,  3.2145, -2.6251]])
2025-08-26T19:47:09.9575360Z     
2025-08-26T19:47:09.9575460Z             >>> # An EmbeddingBag can be loaded from an Embedding like so
2025-08-26T19:47:09.9575550Z             >>> embedding = nn.Embedding(10, 3, padding_idx=2)
2025-08-26T19:47:09.9575640Z             >>> embedding_sum = nn.EmbeddingBag.from_pretrained(
2025-08-26T19:47:09.9575700Z                     embedding.weight,
2025-08-26T19:47:09.9575780Z                     padding_idx=embedding.padding_idx,
2025-08-26T19:47:09.9575900Z                     mode='sum')
2025-08-26T19:47:09.9575940Z         
2025-08-26T19:47:09.9576100Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9576170Z     
2025-08-26T19:47:09.9576230Z       warnings.warn(msg)
2025-08-26T19:47:09.9576270Z     
2025-08-26T19:47:09.9576370Z --- Parse Warning: 49 / 146 ---
2025-08-26T19:47:09.9580990Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=batch_isend_irecv in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2710.
2025-08-26T19:47:09.9581180Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9581220Z     
2025-08-26T19:47:09.9581370Z     Send or Receive a batch of tensors asynchronously and return a list of requests.
2025-08-26T19:47:09.9581410Z     
2025-08-26T19:47:09.9581570Z     Process each of the operations in ``p2p_op_list`` and return the corresponding
2025-08-26T19:47:09.9581690Z     requests. NCCL, Gloo, and UCC backend are currently supported.
2025-08-26T19:47:09.9581730Z     
2025-08-26T19:47:09.9581770Z     Args:
2025-08-26T19:47:09.9581990Z         p2p_op_list: A list of point-to-point operations(type of each operator is
2025-08-26T19:47:09.9582140Z             ``torch.distributed.P2POp``). The order of the isend/irecv in the list
2025-08-26T19:47:09.9582270Z             matters and it needs to match with corresponding isend/irecv on the
2025-08-26T19:47:09.9582310Z             remote end.
2025-08-26T19:47:09.9582350Z     
2025-08-26T19:47:09.9582400Z     Returns:
2025-08-26T19:47:09.9582540Z         A list of distributed request objects returned by calling the corresponding
2025-08-26T19:47:09.9582590Z         op in the op_list.
2025-08-26T19:47:09.9582630Z     
2025-08-26T19:47:09.9582670Z     Examples:
2025-08-26T19:47:09.9582740Z         >>> # xdoctest: +SKIP("no rank")
2025-08-26T19:47:09.9582850Z         >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank
2025-08-26T19:47:09.9582950Z         >>> recv_tensor = torch.randn(2, dtype=torch.float32)
2025-08-26T19:47:09.9583080Z         >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size)
2025-08-26T19:47:09.9583140Z         >>> recv_op = dist.P2POp(
2025-08-26T19:47:09.9583260Z         ...     dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size
2025-08-26T19:47:09.9583300Z         ... )
2025-08-26T19:47:09.9583380Z         >>> reqs = batch_isend_irecv([send_op, recv_op])
2025-08-26T19:47:09.9583430Z         >>> for req in reqs:
2025-08-26T19:47:09.9583480Z         >>>     req.wait()
2025-08-26T19:47:09.9583530Z         >>> recv_tensor
2025-08-26T19:47:09.9583580Z         tensor([2, 3])     # Rank 0
2025-08-26T19:47:09.9583630Z         tensor([0, 1])     # Rank 1
2025-08-26T19:47:09.9583670Z     
2025-08-26T19:47:09.9583830Z     .. note:: Note that when this API is used with the NCCL PG backend, users must set
2025-08-26T19:47:09.9583960Z         the current GPU device with `torch.cuda.set_device`, otherwise it will
2025-08-26T19:47:09.9584030Z         lead to unexpected hang issues.
2025-08-26T19:47:09.9584060Z     
2025-08-26T19:47:09.9584190Z         In addition, if this API is the first collective call in the ``group``
2025-08-26T19:47:09.9584320Z         passed to ``dist.P2POp``, all ranks of the ``group`` must participate in
2025-08-26T19:47:09.9584460Z         this API call; otherwise, the behavior is undefined. If this API call is
2025-08-26T19:47:09.9584590Z         not the first collective call in the ``group``, batched P2P operations
2025-08-26T19:47:09.9584700Z         involving only a subset of ranks of the ``group`` are allowed.
2025-08-26T19:47:09.9584750Z     
2025-08-26T19:47:09.9584900Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9584940Z     
2025-08-26T19:47:09.9585030Z       warnings.warn(msg)
2025-08-26T19:47:09.9585070Z     
2025-08-26T19:47:09.9585190Z --- Parse Warning: 50 / 146 ---
2025-08-26T19:47:09.9585880Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_reduce in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2842.
2025-08-26T19:47:09.9586060Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9586110Z     
2025-08-26T19:47:09.9586270Z     Reduces the tensor data across all machines in a way that all get the final result.
2025-08-26T19:47:09.9586310Z     
2025-08-26T19:47:09.9586440Z     After the call ``tensor`` is going to be bitwise identical in all processes.
2025-08-26T19:47:09.9586480Z     
2025-08-26T19:47:09.9586540Z     Complex tensors are supported.
2025-08-26T19:47:09.9586580Z     
2025-08-26T19:47:09.9586620Z     Args:
2025-08-26T19:47:09.9586750Z         tensor (Tensor): Input and output of the collective. The function
2025-08-26T19:47:09.9586810Z             operates in-place.
2025-08-26T19:47:09.9586880Z         op (optional): One of the values from
2025-08-26T19:47:09.9586950Z             ``torch.distributed.ReduceOp``
2025-08-26T19:47:09.9587090Z             enum.  Specifies an operation used for element-wise reductions.
2025-08-26T19:47:09.9587230Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-08-26T19:47:09.9587310Z             the default process group will be used.
2025-08-26T19:47:09.9587430Z         async_op (bool, optional): Whether this op should be an async op
2025-08-26T19:47:09.9587470Z     
2025-08-26T19:47:09.9587520Z     Returns:
2025-08-26T19:47:09.9587600Z         Async work handle, if async_op is set to True.
2025-08-26T19:47:09.9587690Z         None, if not async_op or if not part of the group
2025-08-26T19:47:09.9587730Z     
2025-08-26T19:47:09.9587780Z     Examples:
2025-08-26T19:47:09.9587840Z         >>> # xdoctest: +SKIP("no rank")
2025-08-26T19:47:09.9587920Z         >>> # All tensors below are of torch.int64 type.
2025-08-26T19:47:09.9587990Z         >>> # We have 2 process groups, 2 ranks.
2025-08-26T19:47:09.9588060Z         >>> device = torch.device(f"cuda:{rank}")
2025-08-26T19:47:09.9588200Z         >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-08-26T19:47:09.9588240Z         >>> tensor
2025-08-26T19:47:09.9588310Z         tensor([1, 2], device='cuda:0') # Rank 0
2025-08-26T19:47:09.9588370Z         tensor([3, 4], device='cuda:1') # Rank 1
2025-08-26T19:47:09.9588450Z         >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-08-26T19:47:09.9588500Z         >>> tensor
2025-08-26T19:47:09.9588560Z         tensor([4, 6], device='cuda:0') # Rank 0
2025-08-26T19:47:09.9588620Z         tensor([4, 6], device='cuda:1') # Rank 1
2025-08-26T19:47:09.9588660Z     
2025-08-26T19:47:09.9588750Z         >>> # All tensors below are of torch.cfloat type.
2025-08-26T19:47:09.9588810Z         >>> # We have 2 process groups, 2 ranks.
2025-08-26T19:47:09.9588880Z         >>> tensor = torch.tensor(
2025-08-26T19:47:09.9588970Z         ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-08-26T19:47:09.9589030Z         ... ) + 2 * rank * (1 + 1j)
2025-08-26T19:47:09.9589070Z         >>> tensor
2025-08-26T19:47:09.9589150Z         tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-08-26T19:47:09.9589230Z         tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-08-26T19:47:09.9589310Z         >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-08-26T19:47:09.9589350Z         >>> tensor
2025-08-26T19:47:09.9589430Z         tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0
2025-08-26T19:47:09.9589510Z         tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1
2025-08-26T19:47:09.9589550Z     
2025-08-26T19:47:09.9589590Z     
2025-08-26T19:47:09.9589780Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9589830Z     
2025-08-26T19:47:09.9589880Z       warnings.warn(msg)
2025-08-26T19:47:09.9589920Z     
2025-08-26T19:47:09.9590010Z --- Parse Warning: 51 / 146 ---
2025-08-26T19:47:09.9590730Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=gather_object in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3202.
2025-08-26T19:47:09.9590890Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9590930Z     
2025-08-26T19:47:09.9591060Z     Gathers picklable objects from the whole group in a single process.
2025-08-26T19:47:09.9591100Z     
2025-08-26T19:47:09.9591240Z     Similar to :func:`gather`, but Python objects can be passed in. Note that the
2025-08-26T19:47:09.9591340Z     object must be picklable in order to be gathered.
2025-08-26T19:47:09.9591380Z     
2025-08-26T19:47:09.9591420Z     Args:
2025-08-26T19:47:09.9591500Z         obj (Any): Input object. Must be picklable.
2025-08-26T19:47:09.9591620Z         object_gather_list (list[Any]): Output list. On the ``dst`` rank, it
2025-08-26T19:47:09.9591730Z             should be correctly sized as the size of the group for this
2025-08-26T19:47:09.9591950Z             collective and will contain the output. Must be ``None`` on non-dst
2025-08-26T19:47:09.9592010Z             ranks. (default is ``None``)
2025-08-26T19:47:09.9592210Z         dst (int, optional): Destination rank on global process group (regardless of ``group`` argument).
2025-08-26T19:47:09.9592330Z             (If both ``dst`` and ``group_dst`` are None, default is global rank 0)
2025-08-26T19:47:09.9592470Z         group: (ProcessGroup, optional): The process group to work on. If None,
2025-08-26T19:47:09.9592590Z             the default process group will be used. Default is ``None``.
2025-08-26T19:47:09.9592800Z         group_dst (int, optional): Destination rank on ``group``.  Invalid to specify both ``dst`` and ``group_dst``
2025-08-26T19:47:09.9592840Z     
2025-08-26T19:47:09.9592880Z     Returns:
2025-08-26T19:47:09.9592990Z         None. On the ``dst`` rank, ``object_gather_list`` will contain the
2025-08-26T19:47:09.9593050Z         output of the collective.
2025-08-26T19:47:09.9593090Z     
2025-08-26T19:47:09.9593220Z     .. note:: Note that this API differs slightly from the gather collective
2025-08-26T19:47:09.9593360Z         since it does not provide an async_op handle and thus will be a blocking
2025-08-26T19:47:09.9593400Z         call.
2025-08-26T19:47:09.9593430Z     
2025-08-26T19:47:09.9593580Z     .. note:: For NCCL-based processed groups, internal tensor representations
2025-08-26T19:47:09.9593700Z         of objects must be moved to the GPU device before communication takes
2025-08-26T19:47:09.9593790Z         place. In this case, the device used is given by
2025-08-26T19:47:09.9593930Z         ``torch.cuda.current_device()`` and it is the user's responsibility to
2025-08-26T19:47:09.9594060Z         ensure that this is set so that each rank has an individual GPU, via
2025-08-26T19:47:09.9594120Z         ``torch.cuda.set_device()``.
2025-08-26T19:47:09.9594160Z     
2025-08-26T19:47:09.9594210Z     .. warning::
2025-08-26T19:47:09.9594350Z         Object collectives have a number of serious performance and scalability
2025-08-26T19:47:09.9594460Z         limitations.  See :ref:`object_collectives` for details.
2025-08-26T19:47:09.9594500Z     
2025-08-26T19:47:09.9594540Z     .. warning::
2025-08-26T19:47:09.9594660Z         :func:`gather_object` uses ``pickle`` module implicitly, which is
2025-08-26T19:47:09.9594790Z         known to be insecure. It is possible to construct malicious pickle data
2025-08-26T19:47:09.9594920Z         which will execute arbitrary code during unpickling. Only call this
2025-08-26T19:47:09.9594980Z         function with data you trust.
2025-08-26T19:47:09.9595060Z     
2025-08-26T19:47:09.9595110Z     .. warning::
2025-08-26T19:47:09.9595240Z         Calling :func:`gather_object` with GPU tensors is not well supported
2025-08-26T19:47:09.9595400Z         and inefficient as it incurs GPU -> CPU transfer since tensors would be
2025-08-26T19:47:09.9595500Z         pickled. Please consider using :func:`gather` instead.
2025-08-26T19:47:09.9595550Z     
2025-08-26T19:47:09.9595590Z     Example::
2025-08-26T19:47:09.9595680Z         >>> # xdoctest: +SKIP("need process group init")
2025-08-26T19:47:09.9595790Z         >>> # Note: Process group initialization omitted on each rank.
2025-08-26T19:47:09.9595860Z         >>> import torch.distributed as dist
2025-08-26T19:47:09.9595920Z         >>> # Assumes world_size of 3.
2025-08-26T19:47:09.9596030Z         >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object
2025-08-26T19:47:09.9596100Z         >>> output = [None for _ in gather_objects]
2025-08-26T19:47:09.9596160Z         >>> dist.gather_object(
2025-08-26T19:47:09.9596230Z         ...     gather_objects[dist.get_rank()],
2025-08-26T19:47:09.9596310Z         ...     output if dist.get_rank() == 0 else None,
2025-08-26T19:47:09.9596360Z         ...     dst=0
2025-08-26T19:47:09.9596400Z         ... )
2025-08-26T19:47:09.9596440Z         >>> # On rank 0
2025-08-26T19:47:09.9596500Z         >>> output
2025-08-26T19:47:09.9596560Z         ['foo', 12, {1: 2}]
2025-08-26T19:47:09.9596590Z     
2025-08-26T19:47:09.9596750Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9596780Z     
2025-08-26T19:47:09.9596840Z       warnings.warn(msg)
2025-08-26T19:47:09.9596880Z     
2025-08-26T19:47:09.9596980Z --- Parse Warning: 52 / 146 ---
2025-08-26T19:47:09.9597650Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_gather in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3798.
2025-08-26T19:47:09.9597810Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9597850Z     
2025-08-26T19:47:09.9597940Z     Gathers tensors from the whole group in a list.
2025-08-26T19:47:09.9597980Z     
2025-08-26T19:47:09.9598060Z     Complex and uneven sized tensors are supported.
2025-08-26T19:47:09.9598100Z     
2025-08-26T19:47:09.9598140Z     Args:
2025-08-26T19:47:09.9598250Z         tensor_list (list[Tensor]): Output list. It should contain
2025-08-26T19:47:09.9598380Z             correctly-sized tensors to be used for output of the collective.
2025-08-26T19:47:09.9598450Z             Uneven sized tensors are supported.
2025-08-26T19:47:09.9598560Z         tensor (Tensor): Tensor to be broadcast from current process.
2025-08-26T19:47:09.9598710Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-08-26T19:47:09.9598780Z             the default process group will be used.
2025-08-26T19:47:09.9598900Z         async_op (bool, optional): Whether this op should be an async op
2025-08-26T19:47:09.9598940Z     
2025-08-26T19:47:09.9598980Z     Returns:
2025-08-26T19:47:09.9599070Z         Async work handle, if async_op is set to True.
2025-08-26T19:47:09.9599160Z         None, if not async_op or if not part of the group
2025-08-26T19:47:09.9599200Z     
2025-08-26T19:47:09.9599240Z     Examples:
2025-08-26T19:47:09.9599320Z         >>> # xdoctest: +SKIP("need process group init")
2025-08-26T19:47:09.9599400Z         >>> # All tensors below are of torch.int64 dtype.
2025-08-26T19:47:09.9599470Z         >>> # We have 2 process groups, 2 ranks.
2025-08-26T19:47:09.9599540Z         >>> device = torch.device(f"cuda:{rank}")
2025-08-26T19:47:09.9599590Z         >>> tensor_list = [
2025-08-26T19:47:09.9599720Z         ...     torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2)
2025-08-26T19:47:09.9599760Z         ... ]
2025-08-26T19:47:09.9599870Z         >>> tensor_list
2025-08-26T19:47:09.9600000Z         [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0
2025-08-26T19:47:09.9600120Z         [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1
2025-08-26T19:47:09.9600290Z         >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-08-26T19:47:09.9600340Z         >>> tensor
2025-08-26T19:47:09.9600400Z         tensor([1, 2], device='cuda:0') # Rank 0
2025-08-26T19:47:09.9600470Z         tensor([3, 4], device='cuda:1') # Rank 1
2025-08-26T19:47:09.9600540Z         >>> dist.all_gather(tensor_list, tensor)
2025-08-26T19:47:09.9600590Z         >>> tensor_list
2025-08-26T19:47:09.9600710Z         [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0
2025-08-26T19:47:09.9600820Z         [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1
2025-08-26T19:47:09.9600860Z     
2025-08-26T19:47:09.9600950Z         >>> # All tensors below are of torch.cfloat dtype.
2025-08-26T19:47:09.9601020Z         >>> # We have 2 process groups, 2 ranks.
2025-08-26T19:47:09.9601070Z         >>> tensor_list = [
2025-08-26T19:47:09.9601200Z         ...     torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2)
2025-08-26T19:47:09.9601250Z         ... ]
2025-08-26T19:47:09.9601320Z         >>> tensor_list
2025-08-26T19:47:09.9601480Z         [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0
2025-08-26T19:47:09.9601620Z         [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1
2025-08-26T19:47:09.9601680Z         >>> tensor = torch.tensor(
2025-08-26T19:47:09.9601770Z         ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-08-26T19:47:09.9601820Z         ... ) + 2 * rank * (1 + 1j)
2025-08-26T19:47:09.9601870Z         >>> tensor
2025-08-26T19:47:09.9601950Z         tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-08-26T19:47:09.9602040Z         tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-08-26T19:47:09.9602110Z         >>> dist.all_gather(tensor_list, tensor)
2025-08-26T19:47:09.9602160Z         >>> tensor_list
2025-08-26T19:47:09.9602300Z         [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0
2025-08-26T19:47:09.9602450Z         [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1
2025-08-26T19:47:09.9602490Z     
2025-08-26T19:47:09.9602530Z     
2025-08-26T19:47:09.9602680Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9602720Z     
2025-08-26T19:47:09.9602770Z       warnings.warn(msg)
2025-08-26T19:47:09.9602810Z     
2025-08-26T19:47:09.9602910Z --- Parse Warning: 53 / 146 ---
2025-08-26T19:47:09.9603600Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all_single in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4504.
2025-08-26T19:47:09.9603760Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9603800Z     
2025-08-26T19:47:09.9603960Z     Split input tensor and then scatter the split list to all processes in a group.
2025-08-26T19:47:09.9603990Z     
2025-08-26T19:47:09.9604150Z     Later the received tensors are concatenated from all the processes in the group
2025-08-26T19:47:09.9604220Z     and returned as a single output tensor.
2025-08-26T19:47:09.9604260Z     
2025-08-26T19:47:09.9604320Z     Complex tensors are supported.
2025-08-26T19:47:09.9604360Z     
2025-08-26T19:47:09.9604400Z     Args:
2025-08-26T19:47:09.9604500Z         output (Tensor): Gathered concatenated output tensor.
2025-08-26T19:47:09.9604570Z         input (Tensor): Input tensor to scatter.
2025-08-26T19:47:09.9604750Z         output_split_sizes: (list[Int], optional): Output split sizes for dim 0
2025-08-26T19:47:09.9604880Z             if specified None or empty, dim 0 of ``output`` tensor must divide
2025-08-26T19:47:09.9604940Z             equally by ``world_size``.
2025-08-26T19:47:09.9605090Z         input_split_sizes: (list[Int], optional): Input split sizes for dim 0
2025-08-26T19:47:09.9605220Z             if specified None or empty, dim 0 of ``input`` tensor must divide
2025-08-26T19:47:09.9605280Z             equally by ``world_size``.
2025-08-26T19:47:09.9605410Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-08-26T19:47:09.9605490Z             the default process group will be used.
2025-08-26T19:47:09.9605610Z         async_op (bool, optional): Whether this op should be an async op.
2025-08-26T19:47:09.9605650Z     
2025-08-26T19:47:09.9605690Z     Returns:
2025-08-26T19:47:09.9605780Z         Async work handle, if async_op is set to True.
2025-08-26T19:47:09.9605870Z         None, if not async_op or if not part of the group.
2025-08-26T19:47:09.9605910Z     
2025-08-26T19:47:09.9605950Z     .. warning::
2025-08-26T19:47:09.9606060Z         `all_to_all_single` is experimental and subject to change.
2025-08-26T19:47:09.9606100Z     
2025-08-26T19:47:09.9606140Z     Examples:
2025-08-26T19:47:09.9606210Z         >>> # xdoctest: +SKIP("Undefined rank")
2025-08-26T19:47:09.9606300Z         >>> input = torch.arange(4) + rank * 4
2025-08-26T19:47:09.9606350Z         >>> input
2025-08-26T19:47:09.9606400Z         tensor([0, 1, 2, 3])     # Rank 0
2025-08-26T19:47:09.9606460Z         tensor([4, 5, 6, 7])     # Rank 1
2025-08-26T19:47:09.9606510Z         tensor([8, 9, 10, 11])   # Rank 2
2025-08-26T19:47:09.9606570Z         tensor([12, 13, 14, 15]) # Rank 3
2025-08-26T19:47:09.9606650Z         >>> output = torch.empty([4], dtype=torch.int64)
2025-08-26T19:47:09.9606730Z         >>> dist.all_to_all_single(output, input)
2025-08-26T19:47:09.9606770Z         >>> output
2025-08-26T19:47:09.9606830Z         tensor([0, 4, 8, 12])    # Rank 0
2025-08-26T19:47:09.9606880Z         tensor([1, 5, 9, 13])    # Rank 1
2025-08-26T19:47:09.9606930Z         tensor([2, 6, 10, 14])   # Rank 2
2025-08-26T19:47:09.9606990Z         tensor([3, 7, 11, 15])   # Rank 3
2025-08-26T19:47:09.9607030Z     
2025-08-26T19:47:09.9607130Z         >>> # Essentially, it is similar to following operation:
2025-08-26T19:47:09.9607210Z         >>> scatter_list = list(input.chunk(world_size))
2025-08-26T19:47:09.9607300Z         >>> gather_list = list(output.chunk(world_size))
2025-08-26T19:47:09.9607350Z         >>> for i in range(world_size):
2025-08-26T19:47:09.9607490Z         >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i)
2025-08-26T19:47:09.9607530Z     
2025-08-26T19:47:09.9607600Z         >>> # Another example with uneven split
2025-08-26T19:47:09.9607640Z         >>> input
2025-08-26T19:47:09.9607740Z         tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-08-26T19:47:09.9607840Z         tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-08-26T19:47:09.9607930Z         tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-08-26T19:47:09.9608030Z         tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-08-26T19:47:09.9608080Z         >>> input_splits
2025-08-26T19:47:09.9608160Z         [2, 2, 1, 1]                                                     # Rank 0
2025-08-26T19:47:09.9608240Z         [3, 2, 2, 2]                                                     # Rank 1
2025-08-26T19:47:09.9608310Z         [2, 1, 1, 1]                                                     # Rank 2
2025-08-26T19:47:09.9608390Z         [2, 2, 2, 1]                                                     # Rank 3
2025-08-26T19:47:09.9608440Z         >>> output_splits
2025-08-26T19:47:09.9608520Z         [2, 3, 2, 2]                                                     # Rank 0
2025-08-26T19:47:09.9608630Z         [2, 2, 1, 2]                                                     # Rank 1
2025-08-26T19:47:09.9608710Z         [1, 2, 1, 2]                                                     # Rank 2
2025-08-26T19:47:09.9608790Z         [1, 2, 1, 1]                                                     # Rank 3
2025-08-26T19:47:09.9608860Z         >>> output = ...
2025-08-26T19:47:09.9608990Z         >>> dist.all_to_all_single(output, input, output_splits, input_splits)
2025-08-26T19:47:09.9609030Z         >>> output
2025-08-26T19:47:09.9609130Z         tensor([ 0,  1, 10, 11, 12, 20, 21, 30, 31])                     # Rank 0
2025-08-26T19:47:09.9609230Z         tensor([ 2,  3, 13, 14, 22, 32, 33])                             # Rank 1
2025-08-26T19:47:09.9609320Z         tensor([ 4, 15, 16, 23, 34, 35])                                 # Rank 2
2025-08-26T19:47:09.9609410Z         tensor([ 5, 17, 18, 24, 36])                                     # Rank 3
2025-08-26T19:47:09.9609460Z     
2025-08-26T19:47:09.9609490Z     
2025-08-26T19:47:09.9609590Z         >>> # Another example with tensors of torch.cfloat type.
2025-08-26T19:47:09.9609650Z         >>> input = torch.tensor(
2025-08-26T19:47:09.9609740Z         ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-08-26T19:47:09.9609800Z         ... ) + 4 * rank * (1 + 1j)
2025-08-26T19:47:09.9609870Z         >>> input
2025-08-26T19:47:09.9609980Z         tensor([1+1j, 2+2j, 3+3j, 4+4j])                                # Rank 0
2025-08-26T19:47:09.9610080Z         tensor([5+5j, 6+6j, 7+7j, 8+8j])                                # Rank 1
2025-08-26T19:47:09.9610190Z         tensor([9+9j, 10+10j, 11+11j, 12+12j])                          # Rank 2
2025-08-26T19:47:09.9610300Z         tensor([13+13j, 14+14j, 15+15j, 16+16j])                        # Rank 3
2025-08-26T19:47:09.9610390Z         >>> output = torch.empty([4], dtype=torch.int64)
2025-08-26T19:47:09.9610470Z         >>> dist.all_to_all_single(output, input)
2025-08-26T19:47:09.9610510Z         >>> output
2025-08-26T19:47:09.9610610Z         tensor([1+1j, 5+5j, 9+9j, 13+13j])                              # Rank 0
2025-08-26T19:47:09.9610720Z         tensor([2+2j, 6+6j, 10+10j, 14+14j])                            # Rank 1
2025-08-26T19:47:09.9610830Z         tensor([3+3j, 7+7j, 11+11j, 15+15j])                            # Rank 2
2025-08-26T19:47:09.9610940Z         tensor([4+4j, 8+8j, 12+12j, 16+16j])                            # Rank 3
2025-08-26T19:47:09.9610980Z     
2025-08-26T19:47:09.9611130Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9611170Z     
2025-08-26T19:47:09.9611220Z       warnings.warn(msg)
2025-08-26T19:47:09.9611260Z     
2025-08-26T19:47:09.9611360Z --- Parse Warning: 54 / 146 ---
2025-08-26T19:47:09.9612030Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4646.
2025-08-26T19:47:09.9612190Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9612230Z     
2025-08-26T19:47:09.9612450Z     Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list.
2025-08-26T19:47:09.9612490Z     
2025-08-26T19:47:09.9612550Z     Complex tensors are supported.
2025-08-26T19:47:09.9612590Z     
2025-08-26T19:47:09.9612630Z     Args:
2025-08-26T19:47:09.9612770Z         output_tensor_list (list[Tensor]): List of tensors to be gathered one
2025-08-26T19:47:09.9612810Z             per rank.
2025-08-26T19:47:09.9612950Z         input_tensor_list (list[Tensor]): List of tensors to scatter one per rank.
2025-08-26T19:47:09.9613090Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-08-26T19:47:09.9613160Z             the default process group will be used.
2025-08-26T19:47:09.9613320Z         async_op (bool, optional): Whether this op should be an async op.
2025-08-26T19:47:09.9613370Z     
2025-08-26T19:47:09.9613410Z     Returns:
2025-08-26T19:47:09.9613490Z         Async work handle, if async_op is set to True.
2025-08-26T19:47:09.9613600Z         None, if not async_op or if not part of the group.
2025-08-26T19:47:09.9613640Z     
2025-08-26T19:47:09.9613690Z     .. warning::
2025-08-26T19:47:09.9613770Z         `all_to_all` is experimental and subject to change.
2025-08-26T19:47:09.9613810Z     
2025-08-26T19:47:09.9613860Z     Examples:
2025-08-26T19:47:09.9613930Z         >>> # xdoctest: +SKIP("Undefined rank")
2025-08-26T19:47:09.9613990Z         >>> input = torch.arange(4) + rank * 4
2025-08-26T19:47:09.9614050Z         >>> input = list(input.chunk(4))
2025-08-26T19:47:09.9614100Z         >>> input
2025-08-26T19:47:09.9614200Z         [tensor([0]), tensor([1]), tensor([2]), tensor([3])]     # Rank 0
2025-08-26T19:47:09.9614300Z         [tensor([4]), tensor([5]), tensor([6]), tensor([7])]     # Rank 1
2025-08-26T19:47:09.9614400Z         [tensor([8]), tensor([9]), tensor([10]), tensor([11])]   # Rank 2
2025-08-26T19:47:09.9614500Z         [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3
2025-08-26T19:47:09.9614610Z         >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-08-26T19:47:09.9614700Z         >>> dist.all_to_all(output, input)
2025-08-26T19:47:09.9614750Z         >>> output
2025-08-26T19:47:09.9614850Z         [tensor([0]), tensor([4]), tensor([8]), tensor([12])]    # Rank 0
2025-08-26T19:47:09.9614940Z         [tensor([1]), tensor([5]), tensor([9]), tensor([13])]    # Rank 1
2025-08-26T19:47:09.9615050Z         [tensor([2]), tensor([6]), tensor([10]), tensor([14])]   # Rank 2
2025-08-26T19:47:09.9615140Z         [tensor([3]), tensor([7]), tensor([11]), tensor([15])]   # Rank 3
2025-08-26T19:47:09.9615190Z     
2025-08-26T19:47:09.9615290Z         >>> # Essentially, it is similar to following operation:
2025-08-26T19:47:09.9615340Z         >>> scatter_list = input
2025-08-26T19:47:09.9615400Z         >>> gather_list = output
2025-08-26T19:47:09.9615460Z         >>> for i in range(world_size):
2025-08-26T19:47:09.9615590Z         >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i)
2025-08-26T19:47:09.9615640Z     
2025-08-26T19:47:09.9615680Z         >>> input
2025-08-26T19:47:09.9615770Z         tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-08-26T19:47:09.9615870Z         tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-08-26T19:47:09.9615960Z         tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-08-26T19:47:09.9616060Z         tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-08-26T19:47:09.9616100Z         >>> input_splits
2025-08-26T19:47:09.9616180Z         [2, 2, 1, 1]                                                     # Rank 0
2025-08-26T19:47:09.9616260Z         [3, 2, 2, 2]                                                     # Rank 1
2025-08-26T19:47:09.9616340Z         [2, 1, 1, 1]                                                     # Rank 2
2025-08-26T19:47:09.9616410Z         [2, 2, 2, 1]                                                     # Rank 3
2025-08-26T19:47:09.9616460Z         >>> output_splits
2025-08-26T19:47:09.9616540Z         [2, 3, 2, 2]                                                     # Rank 0
2025-08-26T19:47:09.9616610Z         [2, 2, 1, 2]                                                     # Rank 1
2025-08-26T19:47:09.9616680Z         [1, 2, 1, 2]                                                     # Rank 2
2025-08-26T19:47:09.9616760Z         [1, 2, 1, 1]                                                     # Rank 3
2025-08-26T19:47:09.9616830Z         >>> input = list(input.split(input_splits))
2025-08-26T19:47:09.9616870Z         >>> input
2025-08-26T19:47:09.9617000Z         [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])]                   # Rank 0
2025-08-26T19:47:09.9617190Z         [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1
2025-08-26T19:47:09.9617320Z         [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])]                 # Rank 2
2025-08-26T19:47:09.9617480Z         [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])]         # Rank 3
2025-08-26T19:47:09.9617530Z         >>> output = ...
2025-08-26T19:47:09.9617590Z         >>> dist.all_to_all(output, input)
2025-08-26T19:47:09.9617630Z         >>> output
2025-08-26T19:47:09.9617750Z         [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])]   # Rank 0
2025-08-26T19:47:09.9617870Z         [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])]           # Rank 1
2025-08-26T19:47:09.9617990Z         [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])]              # Rank 2
2025-08-26T19:47:09.9618120Z         [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])]                  # Rank 3
2025-08-26T19:47:09.9618160Z     
2025-08-26T19:47:09.9618260Z         >>> # Another example with tensors of torch.cfloat type.
2025-08-26T19:47:09.9618320Z         >>> input = torch.tensor(
2025-08-26T19:47:09.9618410Z         ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-08-26T19:47:09.9618460Z         ... ) + 4 * rank * (1 + 1j)
2025-08-26T19:47:09.9618560Z         >>> input = list(input.chunk(4))
2025-08-26T19:47:09.9618600Z         >>> input
2025-08-26T19:47:09.9618730Z         [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])]            # Rank 0
2025-08-26T19:47:09.9618860Z         [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])]            # Rank 1
2025-08-26T19:47:09.9618990Z         [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])]      # Rank 2
2025-08-26T19:47:09.9619120Z         [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])]    # Rank 3
2025-08-26T19:47:09.9619230Z         >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-08-26T19:47:09.9619300Z         >>> dist.all_to_all(output, input)
2025-08-26T19:47:09.9619340Z         >>> output
2025-08-26T19:47:09.9619470Z         [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])]          # Rank 0
2025-08-26T19:47:09.9619590Z         [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])]        # Rank 1
2025-08-26T19:47:09.9619720Z         [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])]        # Rank 2
2025-08-26T19:47:09.9619840Z         [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])]        # Rank 3
2025-08-26T19:47:09.9619880Z     
2025-08-26T19:47:09.9619920Z     
2025-08-26T19:47:09.9620070Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9620110Z     
2025-08-26T19:47:09.9620160Z       warnings.warn(msg)
2025-08-26T19:47:09.9620200Z     
2025-08-26T19:47:09.9620300Z --- Parse Warning: 55 / 146 ---
2025-08-26T19:47:09.9620940Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=__doc__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/launch.py line=2.
2025-08-26T19:47:09.9621100Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9621140Z     
2025-08-26T19:47:09.9621200Z     Module ``torch.distributed.launch``.
2025-08-26T19:47:09.9621240Z     
2025-08-26T19:47:09.9621390Z     ``torch.distributed.launch`` is a module that spawns up multiple distributed
2025-08-26T19:47:09.9621490Z     training processes on each of the training nodes.
2025-08-26T19:47:09.9621520Z     
2025-08-26T19:47:09.9621570Z     .. warning::
2025-08-26T19:47:09.9621610Z     
2025-08-26T19:47:09.9621760Z         This module is going to be deprecated in favor of :ref:`torchrun <launcher-api>`.
2025-08-26T19:47:09.9621800Z     
2025-08-26T19:47:09.9621990Z     The utility can be used for single-node distributed training, in which one or
2025-08-26T19:47:09.9622140Z     more processes per node will be spawned. The utility can be used for either
2025-08-26T19:47:09.9622290Z     CPU training or GPU training. If the utility is used for GPU training,
2025-08-26T19:47:09.9622440Z     each distributed process will be operating on a single GPU. This can achieve
2025-08-26T19:47:09.9622580Z     well-improved single-node training performance. It can also be used in
2025-08-26T19:47:09.9622740Z     multi-node distributed training, by spawning up multiple processes on each node
2025-08-26T19:47:09.9622880Z     for well-improved multi-node distributed training performance as well.
2025-08-26T19:47:09.9623010Z     This will especially be beneficial for systems with multiple Infiniband
2025-08-26T19:47:09.9623170Z     interfaces that have direct-GPU support, since all of them can be utilized for
2025-08-26T19:47:09.9623230Z     aggregated communication bandwidth.
2025-08-26T19:47:09.9623270Z     
2025-08-26T19:47:09.9623420Z     In both cases of single-node distributed training or multi-node distributed
2025-08-26T19:47:09.9623560Z     training, this utility will launch the given number of processes per node
2025-08-26T19:47:09.9623700Z     (``--nproc-per-node``). If used for GPU training, this number needs to be less
2025-08-26T19:47:09.9623850Z     or equal to the number of GPUs on the current system (``nproc_per_node``),
2025-08-26T19:47:09.9623980Z     and each process will be operating on a single GPU from *GPU 0 to
2025-08-26T19:47:09.9624040Z     GPU (nproc_per_node - 1)*.
2025-08-26T19:47:09.9624080Z     
2025-08-26T19:47:09.9624140Z     **How to use this module:**
2025-08-26T19:47:09.9624170Z     
2025-08-26T19:47:09.9624270Z     1. Single-Node multi-process distributed training
2025-08-26T19:47:09.9624300Z     
2025-08-26T19:47:09.9624350Z     ::
2025-08-26T19:47:09.9624390Z     
2025-08-26T19:47:09.9624540Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-08-26T19:47:09.9624650Z                    YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other
2025-08-26T19:47:09.9624730Z                    arguments of your training script)
2025-08-26T19:47:09.9624770Z     
2025-08-26T19:47:09.9624900Z     2. Multi-Node multi-process distributed training: (e.g. two nodes)
2025-08-26T19:47:09.9624940Z     
2025-08-26T19:47:09.9624980Z     
2025-08-26T19:47:09.9625070Z     Node 1: *(IP: 192.168.1.1, and has a free port: 1234)*
2025-08-26T19:47:09.9625110Z     
2025-08-26T19:47:09.9625150Z     ::
2025-08-26T19:47:09.9625190Z     
2025-08-26T19:47:09.9625330Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-08-26T19:47:09.9625430Z                    --nnodes=2 --node-rank=0 --master-addr="192.168.1.1"
2025-08-26T19:47:09.9625560Z                    --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-08-26T19:47:09.9625660Z                    and all other arguments of your training script)
2025-08-26T19:47:09.9625700Z     
2025-08-26T19:47:09.9625750Z     Node 2:
2025-08-26T19:47:09.9625780Z     
2025-08-26T19:47:09.9625830Z     ::
2025-08-26T19:47:09.9625860Z     
2025-08-26T19:47:09.9626010Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-08-26T19:47:09.9626110Z                    --nnodes=2 --node-rank=1 --master-addr="192.168.1.1"
2025-08-26T19:47:09.9626240Z                    --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-08-26T19:47:09.9626330Z                    and all other arguments of your training script)
2025-08-26T19:47:09.9626370Z     
2025-08-26T19:47:09.9626470Z     3. To look up what optional arguments this module offers:
2025-08-26T19:47:09.9626510Z     
2025-08-26T19:47:09.9626560Z     ::
2025-08-26T19:47:09.9626600Z     
2025-08-26T19:47:09.9626680Z         python -m torch.distributed.launch --help
2025-08-26T19:47:09.9626720Z     
2025-08-26T19:47:09.9626760Z     
2025-08-26T19:47:09.9626860Z     **Important Notices:**
2025-08-26T19:47:09.9626900Z     
2025-08-26T19:47:09.9627020Z     1. This utility and multi-process distributed (single-node or
2025-08-26T19:47:09.9627170Z     multi-node) GPU training currently only achieves the best performance using
2025-08-26T19:47:09.9627350Z     the NCCL distributed backend. Thus NCCL backend is the recommended backend to
2025-08-26T19:47:09.9627410Z     use for GPU training.
2025-08-26T19:47:09.9627450Z     
2025-08-26T19:47:09.9627580Z     2. In your training program, you must parse the command-line argument:
2025-08-26T19:47:09.9627720Z     ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module.
2025-08-26T19:47:09.9627860Z     If your training program uses GPUs, you should ensure that your code only
2025-08-26T19:47:09.9627990Z     runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by:
2025-08-26T19:47:09.9628030Z     
2025-08-26T19:47:09.9628090Z     Parsing the local_rank argument
2025-08-26T19:47:09.9628130Z     
2025-08-26T19:47:09.9628180Z     ::
2025-08-26T19:47:09.9628220Z     
2025-08-26T19:47:09.9631560Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9631640Z         >>> import argparse
2025-08-26T19:47:09.9631730Z         >>> parser = argparse.ArgumentParser()
2025-08-26T19:47:09.9631850Z         >>> parser.add_argument("--local-rank", "--local_rank", type=int)
2025-08-26T19:47:09.9631990Z         >>> args = parser.parse_args()
2025-08-26T19:47:09.9632030Z     
2025-08-26T19:47:09.9632110Z     Set your device to local rank using either
2025-08-26T19:47:09.9632150Z     
2025-08-26T19:47:09.9632190Z     ::
2025-08-26T19:47:09.9632230Z     
2025-08-26T19:47:09.9632360Z         >>> torch.cuda.set_device(args.local_rank)  # before your code runs
2025-08-26T19:47:09.9632400Z     
2025-08-26T19:47:09.9632440Z     or
2025-08-26T19:47:09.9632480Z     
2025-08-26T19:47:09.9632520Z     ::
2025-08-26T19:47:09.9632560Z     
2025-08-26T19:47:09.9632640Z         >>> with torch.cuda.device(args.local_rank):
2025-08-26T19:47:09.9632700Z         >>>    # your code to run
2025-08-26T19:47:09.9632740Z         >>>    ...
2025-08-26T19:47:09.9632780Z     
2025-08-26T19:47:09.9632840Z     .. versionchanged:: 2.0.0
2025-08-26T19:47:09.9632880Z     
2025-08-26T19:47:09.9633040Z         The launcher will passes the ``--local-rank=<rank>`` argument to your script.
2025-08-26T19:47:09.9633190Z         From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the
2025-08-26T19:47:09.9633280Z         previously used underscored ``--local_rank``.
2025-08-26T19:47:09.9633320Z     
2025-08-26T19:47:09.9633470Z         For backward compatibility, it may be necessary for users to handle both
2025-08-26T19:47:09.9633640Z         cases in their argument parsing code. This means including both ``"--local-rank"``
2025-08-26T19:47:09.9633770Z         and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is
2025-08-26T19:47:09.9633920Z         provided, the launcher will trigger an error: "error: unrecognized arguments:
2025-08-26T19:47:09.9634060Z         --local-rank=<rank>". For training code that only supports PyTorch 2.0.0+,
2025-08-26T19:47:09.9634150Z         including ``"--local-rank"`` should be sufficient.
2025-08-26T19:47:09.9634200Z     
2025-08-26T19:47:09.9634340Z     3. In your training program, you are supposed to call the following function
2025-08-26T19:47:09.9634490Z     at the beginning to start the distributed backend. It is strongly recommended
2025-08-26T19:47:09.9634630Z     that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work,
2025-08-26T19:47:09.9634750Z     but ``env://`` is the one that is officially supported by this module.
2025-08-26T19:47:09.9634790Z     
2025-08-26T19:47:09.9634830Z     ::
2025-08-26T19:47:09.9634870Z     
2025-08-26T19:47:09.9634990Z         >>> torch.distributed.init_process_group(backend='YOUR BACKEND',
2025-08-26T19:47:09.9635080Z         >>>                                      init_method='env://')
2025-08-26T19:47:09.9635130Z     
2025-08-26T19:47:09.9635310Z     4. In your training program, you can either use regular distributed functions
2025-08-26T19:47:09.9635460Z     or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your
2025-08-26T19:47:09.9635610Z     training program uses GPUs for training and you would like to use
2025-08-26T19:47:09.9635730Z     :func:`torch.nn.parallel.DistributedDataParallel` module,
2025-08-26T19:47:09.9635790Z     here is how to configure it.
2025-08-26T19:47:09.9635830Z     
2025-08-26T19:47:09.9635870Z     ::
2025-08-26T19:47:09.9635900Z     
2025-08-26T19:47:09.9636030Z         >>> model = torch.nn.parallel.DistributedDataParallel(model,
2025-08-26T19:47:09.9636120Z         >>>                                                   device_ids=[args.local_rank],
2025-08-26T19:47:09.9636210Z         >>>                                                   output_device=args.local_rank)
2025-08-26T19:47:09.9636250Z     
2025-08-26T19:47:09.9636400Z     Please ensure that ``device_ids`` argument is set to be the only GPU device id
2025-08-26T19:47:09.9636550Z     that your code will be operating on. This is generally the local rank of the
2025-08-26T19:47:09.9636700Z     process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``,
2025-08-26T19:47:09.9636840Z     and ``output_device`` needs to be ``args.local_rank`` in order to use this
2025-08-26T19:47:09.9636930Z     utility
2025-08-26T19:47:09.9636970Z     
2025-08-26T19:47:09.9637120Z     5. Another way to pass ``local_rank`` to the subprocesses via environment variable
2025-08-26T19:47:09.9637260Z     ``LOCAL_RANK``. This behavior is enabled when you launch the script with
2025-08-26T19:47:09.9637390Z     ``--use-env=True``. You must adjust the subprocess example above to replace
2025-08-26T19:47:09.9637520Z     ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher
2025-08-26T19:47:09.9637620Z     will not pass ``--local-rank`` when you specify this flag.
2025-08-26T19:47:09.9637670Z     
2025-08-26T19:47:09.9637710Z     .. warning::
2025-08-26T19:47:09.9637760Z     
2025-08-26T19:47:09.9637890Z         ``local_rank`` is NOT globally unique: it is only unique per process
2025-08-26T19:47:09.9638010Z         on a machine.  Thus, don't use it to decide if you should, e.g.,
2025-08-26T19:47:09.9638080Z         write to a networked filesystem.  See
2025-08-26T19:47:09.9638220Z         https://github.com/pytorch/pytorch/issues/12042 for an example of
2025-08-26T19:47:09.9638320Z         how things can go wrong if you don't do this correctly.
2025-08-26T19:47:09.9638360Z     
2025-08-26T19:47:09.9638400Z     
2025-08-26T19:47:09.9638440Z     
2025-08-26T19:47:09.9638480Z     
2025-08-26T19:47:09.9638630Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9638670Z     
2025-08-26T19:47:09.9638720Z       warnings.warn(msg)
2025-08-26T19:47:09.9638770Z     
2025-08-26T19:47:09.9638920Z --- Parse Warning: 56 / 146 ---
2025-08-26T19:47:09.9639620Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/device_mesh.py line=721.
2025-08-26T19:47:09.9639770Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:09.9639820Z     
2025-08-26T19:47:09.9639980Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-08-26T19:47:09.9640140Z     The submesh created consists of the dimensions and the communicators indicated by
2025-08-26T19:47:09.9640190Z     ``mesh_dim_names``
2025-08-26T19:47:09.9640230Z     
2025-08-26T19:47:09.9640270Z     Args:
2025-08-26T19:47:09.9640410Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-08-26T19:47:09.9640530Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-08-26T19:47:09.9640570Z     Returns:
2025-08-26T19:47:09.9640700Z         A :class:`DeviceMesh` object
2025-08-26T19:47:09.9640740Z     
2025-08-26T19:47:09.9640910Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-08-26T19:47:09.9641000Z     In the first example:
2025-08-26T19:47:09.9641160Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-08-26T19:47:09.9641320Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-08-26T19:47:09.9641460Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-08-26T19:47:09.9641590Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-08-26T19:47:09.9641720Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-08-26T19:47:09.9641850Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-08-26T19:47:09.9641900Z     
2025-08-26T19:47:09.9641950Z     In the second example:
2025-08-26T19:47:09.9642110Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-08-26T19:47:09.9642270Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-08-26T19:47:09.9642480Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-08-26T19:47:09.9642630Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-08-26T19:47:09.9642670Z     
2025-08-26T19:47:09.9642720Z     Example::
2025-08-26T19:47:09.9642760Z     
2025-08-26T19:47:09.9642830Z         >>> # xdoctest: +SKIP("no rank")
2025-08-26T19:47:09.9642930Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-08-26T19:47:09.9642980Z         >>>
2025-08-26T19:47:09.9643100Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-08-26T19:47:09.9643190Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-08-26T19:47:09.9643340Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-26T19:47:09.9643400Z         >>> tp_mesh = mesh_2d["tp"]
2025-08-26T19:47:09.9643460Z         >>> dp_mesh = mesh_2d["dp"]
2025-08-26T19:47:09.9643500Z         >>>
2025-08-26T19:47:09.9643550Z         >>> # Initialize a 3D mesh.
2025-08-26T19:47:09.9643720Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-08-26T19:47:09.9643900Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-08-26T19:47:09.9643970Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-08-26T19:47:09.9644030Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-08-26T19:47:09.9644070Z     
2025-08-26T19:47:09.9644470Z     Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-08-26T19:47:09.9644510Z     
2025-08-26T19:47:09.9644660Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-26T19:47:09.9644730Z                                                                                      ^
2025-08-26T19:47:09.9644790Z       warnings.warn(msg)
2025-08-26T19:47:09.9644830Z     
2025-08-26T19:47:09.9644930Z --- Parse Warning: 57 / 146 ---
2025-08-26T19:47:09.9645690Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=40.
2025-08-26T19:47:09.9645850Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9645930Z     
2025-08-26T19:47:09.9646110Z     StorageReader for reading a Torch Save file. This reader will read the entire checkpoint
2025-08-26T19:47:09.9646260Z     on the coordinator rank, and then broadcast and shard each tensor to all ranks.
2025-08-26T19:47:09.9646320Z     
2025-08-26T19:47:09.9646420Z     . N.B. Intended to be used with DynamicMetaLoadPlanner
2025-08-26T19:47:09.9646470Z     
2025-08-26T19:47:09.9646510Z     .. warning::
2025-08-26T19:47:09.9646610Z         Current implementation only supports loading Tensors.
2025-08-26T19:47:09.9646650Z     
2025-08-26T19:47:09.9646720Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:09.9646770Z     >>> sd = {"mode": model}
2025-08-26T19:47:09.9646810Z     >>> dcp.load(
2025-08-26T19:47:09.9646850Z     >>>    sd,
2025-08-26T19:47:09.9646940Z     >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-08-26T19:47:09.9647020Z     >>>    planner=DynamicMetaLoadPlanner(),
2025-08-26T19:47:09.9647080Z     >>>    checkpoint_id="path_to_model.pt"
2025-08-26T19:47:09.9647130Z     >>> )
2025-08-26T19:47:09.9647170Z     
2025-08-26T19:47:09.9647320Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9647360Z     
2025-08-26T19:47:09.9647410Z       warnings.warn(msg)
2025-08-26T19:47:09.9647480Z     
2025-08-26T19:47:09.9647580Z --- Parse Warning: 58 / 146 ---
2025-08-26T19:47:09.9648310Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=151.
2025-08-26T19:47:09.9648470Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9648510Z     
2025-08-26T19:47:09.9648730Z     Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict,
2025-08-26T19:47:09.9648930Z     avoiding the need to read metadata from disk. This is useful when reading formats which don't have a
2025-08-26T19:47:09.9648990Z     metadata file, like Torch Save files.
2025-08-26T19:47:09.9649040Z     
2025-08-26T19:47:09.9649150Z     . N.B. Intended to be used with BroadcastingTorchSaveReader
2025-08-26T19:47:09.9649190Z     
2025-08-26T19:47:09.9649230Z     .. warning::
2025-08-26T19:47:09.9649330Z         Current implementation only supports loading Tensors.
2025-08-26T19:47:09.9649370Z     
2025-08-26T19:47:09.9649440Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:09.9649490Z     >>> sd = {"mode": model}
2025-08-26T19:47:09.9649530Z     >>> dcp.load(
2025-08-26T19:47:09.9649570Z     >>>    sd,
2025-08-26T19:47:09.9649660Z     >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-08-26T19:47:09.9649730Z     >>>    planner=DynamicMetaLoadPlanner(),
2025-08-26T19:47:09.9649800Z     >>>    checkpoint_id="path_to_model.pt"
2025-08-26T19:47:09.9649840Z     >>> )
2025-08-26T19:47:09.9649880Z     
2025-08-26T19:47:09.9650040Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9650080Z     
2025-08-26T19:47:09.9650130Z       warnings.warn(msg)
2025-08-26T19:47:09.9650170Z     
2025-08-26T19:47:09.9650270Z --- Parse Warning: 59 / 146 ---
2025-08-26T19:47:09.9650960Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SavePlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-08-26T19:47:09.9651120Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9651160Z     
2025-08-26T19:47:09.9651340Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-08-26T19:47:09.9651380Z     
2025-08-26T19:47:09.9651600Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-08-26T19:47:09.9651650Z     
2025-08-26T19:47:09.9651820Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-26T19:47:09.9651910Z     will be visible to the whole process.
2025-08-26T19:47:09.9651960Z     
2025-08-26T19:47:09.9652120Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-08-26T19:47:09.9652160Z     
2025-08-26T19:47:09.9652240Z     1) set_up_planner - called on all ranks.
2025-08-26T19:47:09.9652320Z         Signals the start of a checkpoint save.
2025-08-26T19:47:09.9652360Z     
2025-08-26T19:47:09.9652430Z     2) create_local_plan - called on all ranks.
2025-08-26T19:47:09.9652600Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-08-26T19:47:09.9652640Z     
2025-08-26T19:47:09.9652750Z     3) create_global_plan - called on the coordinator rank only.
2025-08-26T19:47:09.9652880Z         Takes the SavePlan from all ranks and make any global decision.
2025-08-26T19:47:09.9652920Z     
2025-08-26T19:47:09.9652980Z     4) finish_plan - called on all ranks.
2025-08-26T19:47:09.9653110Z         This gives each rank a chance to adjust to global planning decisions.
2025-08-26T19:47:09.9653190Z     
2025-08-26T19:47:09.9653280Z     5) resolve_data - called multiple times on each rank
2025-08-26T19:47:09.9653410Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-08-26T19:47:09.9653450Z     
2025-08-26T19:47:09.9653630Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-08-26T19:47:09.9653740Z     most changes can be expressed by changes in a single method.
2025-08-26T19:47:09.9653790Z     
2025-08-26T19:47:09.9653860Z     There are 3 usual patterns of extension:
2025-08-26T19:47:09.9653900Z     
2025-08-26T19:47:09.9654050Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-08-26T19:47:09.9654190Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-08-26T19:47:09.9654230Z     
2025-08-26T19:47:09.9654300Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:09.9654380Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-08-26T19:47:09.9654430Z     >>>     def set_up_planner(
2025-08-26T19:47:09.9654480Z     >>>         self,
2025-08-26T19:47:09.9654540Z     >>>         state_dict: STATE_DICT_TYPE,
2025-08-26T19:47:09.9654620Z     >>>         storage_meta: Optional[StorageMeta],
2025-08-26T19:47:09.9654680Z     >>>         is_coordinator: bool,
2025-08-26T19:47:09.9654730Z     >>>     ) -> None:
2025-08-26T19:47:09.9654790Z     >>> # prefix all keys with `foo_``
2025-08-26T19:47:09.9654970Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-08-26T19:47:09.9655010Z     
2025-08-26T19:47:09.9655210Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-08-26T19:47:09.9655250Z     
2025-08-26T19:47:09.9655320Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:09.9655390Z     >>> class FP16Planner(DefaultSavePlanner):
2025-08-26T19:47:09.9655450Z     >>>     def create_local_plan(self):
2025-08-26T19:47:09.9655530Z     >>>         plan = super().create_local_plan()
2025-08-26T19:47:09.9655580Z     >>>         for p in plan:
2025-08-26T19:47:09.9655650Z     >>>             if p.tensor_data is not None:
2025-08-26T19:47:09.9655750Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-08-26T19:47:09.9655810Z     >>>         return plan
2025-08-26T19:47:09.9655840Z     >>>
2025-08-26T19:47:09.9655920Z     >>>     def resolve_data(self, write_item):
2025-08-26T19:47:09.9655990Z     >>>         item = super().resolve_data(write_item)
2025-08-26T19:47:09.9656160Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-08-26T19:47:09.9656230Z     
2025-08-26T19:47:09.9656440Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-08-26T19:47:09.9656480Z     
2025-08-26T19:47:09.9656570Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:09.9656630Z     >>> from itertools import zip_longest
2025-08-26T19:47:09.9656690Z     >>> from dataclasses import replace
2025-08-26T19:47:09.9656800Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-08-26T19:47:09.9656970Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-08-26T19:47:09.9657050Z     >>> # This sample doesn't handle ShardedTensors
2025-08-26T19:47:09.9657120Z     >>>     def create_global_plan(self, all_plans):
2025-08-26T19:47:09.9657220Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-08-26T19:47:09.9657270Z     >>>         items_per_rank = [
2025-08-26T19:47:09.9657360Z     >>>             [item for item in items if item is not None]
2025-08-26T19:47:09.9657460Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-08-26T19:47:09.9657510Z     >>>         ]
2025-08-26T19:47:09.9657560Z     >>>         all_plans = [
2025-08-26T19:47:09.9657630Z     >>>             replace(plan, items=items)
2025-08-26T19:47:09.9657770Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-08-26T19:47:09.9657810Z     >>>         ]
2025-08-26T19:47:09.9657900Z     >>>         return super().create_global_plan(all_plans)
2025-08-26T19:47:09.9657940Z     
2025-08-26T19:47:09.9658100Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-08-26T19:47:09.9658250Z     accomplished by having each rank contribute their data items in the local plan and
2025-08-26T19:47:09.9658320Z     the global planner aggregate them:
2025-08-26T19:47:09.9658360Z     
2025-08-26T19:47:09.9658420Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:09.9658520Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-08-26T19:47:09.9658600Z     >>>     def create_local_plan(self) -> SavePlan:
2025-08-26T19:47:09.9658670Z     >>>         plan = super().create_local_plan()
2025-08-26T19:47:09.9658770Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-08-26T19:47:09.9658810Z     >>>
2025-08-26T19:47:09.9658990Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-08-26T19:47:09.9659110Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-08-26T19:47:09.9659210Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-08-26T19:47:09.9659320Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-08-26T19:47:09.9659380Z     >>>         return global_plan, metadata
2025-08-26T19:47:09.9659420Z     
2025-08-26T19:47:09.9659570Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9659610Z     
2025-08-26T19:47:09.9659660Z       warnings.warn(msg)
2025-08-26T19:47:09.9659710Z     
2025-08-26T19:47:09.9659810Z --- Parse Warning: 60 / 146 ---
2025-08-26T19:47:09.9660500Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-08-26T19:47:09.9660660Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9660700Z     
2025-08-26T19:47:09.9660870Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-08-26T19:47:09.9660910Z     
2025-08-26T19:47:09.9661080Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-08-26T19:47:09.9661120Z     
2025-08-26T19:47:09.9661350Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-26T19:47:09.9661420Z     will be visible to the whole process.
2025-08-26T19:47:09.9661460Z     
2025-08-26T19:47:09.9661660Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-08-26T19:47:09.9661700Z     
2025-08-26T19:47:09.9661770Z     1) set_up_planner - called on all ranks.
2025-08-26T19:47:09.9661850Z         Signals the start of loading a checkpoint.
2025-08-26T19:47:09.9661890Z     
2025-08-26T19:47:09.9661970Z     2) create_local_plan - called on all ranks.
2025-08-26T19:47:09.9662130Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-08-26T19:47:09.9662180Z     
2025-08-26T19:47:09.9662290Z     3) create_global_plan - called on the coordinator rank only.
2025-08-26T19:47:09.9662410Z         Takes the LoadPlan from all ranks and make any global decision.
2025-08-26T19:47:09.9662450Z     
2025-08-26T19:47:09.9662540Z     4) load_bytes - called multiple times on each rank
2025-08-26T19:47:09.9662640Z         This is called once per non-tensor value in state_dict.
2025-08-26T19:47:09.9662680Z     
2025-08-26T19:47:09.9662810Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-08-26T19:47:09.9662920Z         They are called in pair for each Tensor value in state_dict.
2025-08-26T19:47:09.9663000Z     
2025-08-26T19:47:09.9663180Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-08-26T19:47:09.9663290Z     most changes can be expressed by changes in a single method.
2025-08-26T19:47:09.9663330Z     
2025-08-26T19:47:09.9663400Z     There are two usual patterns of extension:
2025-08-26T19:47:09.9663440Z     
2025-08-26T19:47:09.9663600Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-08-26T19:47:09.9663750Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-08-26T19:47:09.9663890Z     to keep a reference to the original state_dict as load happens in place so
2025-08-26T19:47:09.9663960Z     we need to be able to perform it in place
2025-08-26T19:47:09.9664010Z     
2025-08-26T19:47:09.9664070Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:09.9664150Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-08-26T19:47:09.9664210Z     >>>     def set_up_planner(
2025-08-26T19:47:09.9664250Z     >>>         self,
2025-08-26T19:47:09.9664320Z     >>>         state_dict: STATE_DICT_TYPE,
2025-08-26T19:47:09.9664370Z     >>>         metadata: Metadata,
2025-08-26T19:47:09.9664440Z     >>>         is_coordinator: bool,
2025-08-26T19:47:09.9664480Z     >>>     ) -> None:
2025-08-26T19:47:09.9664560Z     >>>         self.original_state_dict = state_dict
2025-08-26T19:47:09.9664670Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-08-26T19:47:09.9664710Z     >>>
2025-08-26T19:47:09.9664780Z     >>>         if self.flatten_sharded_tensors:
2025-08-26T19:47:09.9664890Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-08-26T19:47:09.9664930Z     >>>
2025-08-26T19:47:09.9664990Z     >>>         if self.flatten_state_dict:
2025-08-26T19:47:09.9665100Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-08-26T19:47:09.9665150Z     >>>
2025-08-26T19:47:09.9665210Z     >>>         self.state_dict = state_dict
2025-08-26T19:47:09.9665270Z     >>>         self.metadata = metadata
2025-08-26T19:47:09.9665350Z     >>>         self.is_coordinator = is_coordinator
2025-08-26T19:47:09.9665390Z     >>>
2025-08-26T19:47:09.9665460Z     >>>     def load_bytes(self, read_item, value):
2025-08-26T19:47:09.9665520Z     >>> # Remove the "foo_" prefix
2025-08-26T19:47:09.9665720Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-08-26T19:47:09.9665760Z     
2025-08-26T19:47:09.9665800Z     
2025-08-26T19:47:09.9666000Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-08-26T19:47:09.9666040Z     
2025-08-26T19:47:09.9666110Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:09.9666200Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-08-26T19:47:09.9666310Z     >>>     def resolve_tensor(self, read_item):
2025-08-26T19:47:09.9666390Z     >>>         tensor = super().resolve_tensor(read_item)
2025-08-26T19:47:09.9666480Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-08-26T19:47:09.9666520Z     >>>
2025-08-26T19:47:09.9666600Z     >>>     def commit_tensor(self, read_item, tensor):
2025-08-26T19:47:09.9666700Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-08-26T19:47:09.9666740Z     
2025-08-26T19:47:09.9666880Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9666930Z     
2025-08-26T19:47:09.9666980Z       warnings.warn(msg)
2025-08-26T19:47:09.9667010Z     
2025-08-26T19:47:09.9667120Z --- Parse Warning: 61 / 146 ---
2025-08-26T19:47:09.9667810Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py line=1118.
2025-08-26T19:47:09.9668000Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9668030Z     
2025-08-26T19:47:09.9668130Z     Return the model state_dict and optimizers state_dict.
2025-08-26T19:47:09.9668170Z     
2025-08-26T19:47:09.9668310Z     ``get_state_dict`` can process any module that is parallelized by PyTorch
2025-08-26T19:47:09.9668460Z     FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any
2025-08-26T19:47:09.9668610Z     combination of these parallelisms. The main functions of ``get_state_dict``
2025-08-26T19:47:09.9668740Z     are: 1.) returning a model and optimizer state_dict that can be resharded
2025-08-26T19:47:09.9668870Z     with a different number of trainers and/or different parallelisms.
2025-08-26T19:47:09.9669020Z     2.) hiding the parallelism-specific state_dict APIs. Users don't have to call
2025-08-26T19:47:09.9669070Z     these APIs.
2025-08-26T19:47:09.9669140Z     3.) sanity checking the result state_dict.
2025-08-26T19:47:09.9669180Z     
2025-08-26T19:47:09.9669300Z     The keys of the result state dictionary are the canonical FQNs (Fully
2025-08-26T19:47:09.9669450Z     Qualified Names).  A canonical FQN refers to the FQN based on a parameter's
2025-08-26T19:47:09.9669590Z     position in an nn.Module hierarchy. More specifically, a canonical FQN to a
2025-08-26T19:47:09.9669720Z     parameter is the FQN returned by ``module.named_parameters()`` or
2025-08-26T19:47:09.9669840Z     ``module.named_buffers()`` when the module is not distributed by any
2025-08-26T19:47:09.9669990Z     parallelisms. Since the optimizer internally uses parameter IDs to represent
2025-08-26T19:47:09.9670120Z     a parameter, there will be a conversion from the parameter IDs to the
2025-08-26T19:47:09.9670190Z     canonical FQNs when calling this API.
2025-08-26T19:47:09.9670230Z     
2025-08-26T19:47:09.9670360Z     ``get_state_dict`` can also process a module that is not parallelized. In
2025-08-26T19:47:09.9670500Z     such a case, ``get_state_dict`` only performs one function -- converting the
2025-08-26T19:47:09.9670590Z     optimizer parameter IDs to the canonical FQNs.
2025-08-26T19:47:09.9670630Z     
2025-08-26T19:47:09.9670670Z     Example:
2025-08-26T19:47:09.9670730Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9670780Z         >>> import torch
2025-08-26T19:47:09.9670920Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-26T19:47:09.9671050Z         >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-08-26T19:47:09.9671190Z         >>> from torch.distributed.checkpoint.state_dict import get_state_dict
2025-08-26T19:47:09.9671270Z     
2025-08-26T19:47:09.9671350Z         >>> fsdp_model = FSDP(copy.deepcopy(model))
2025-08-26T19:47:09.9671470Z         >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-08-26T19:47:09.9671560Z         >>> ddp_model = DDP(copy.deepcopy(model))
2025-08-26T19:47:09.9671680Z         >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-08-26T19:47:09.9671720Z     
2025-08-26T19:47:09.9671760Z     
2025-08-26T19:47:09.9671900Z         >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim)
2025-08-26T19:47:09.9672010Z         >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict(
2025-08-26T19:47:09.9672070Z         ...     fsdp_model, fsdp_optim
2025-08-26T19:47:09.9672110Z         ... )
2025-08-26T19:47:09.9672150Z     
2025-08-26T19:47:09.9672280Z         >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(),
2025-08-26T19:47:09.9672340Z         >>> # the asserts will fail.
2025-08-26T19:47:09.9672420Z         >>> assert ddp_state_dict == fsdp_state_dict
2025-08-26T19:47:09.9672510Z         >>> assert ddp_optim_state == fsdp_optim_state_dict
2025-08-26T19:47:09.9672550Z     
2025-08-26T19:47:09.9672590Z     
2025-08-26T19:47:09.9672630Z     Args:
2025-08-26T19:47:09.9672720Z         model (nn.Module): the nn.Module to the model.
2025-08-26T19:47:09.9672860Z         optimizers (Union[None, Optimizer, Iterable[Optimizer]]):
2025-08-26T19:47:09.9672960Z             The optimizers that are used to optimize ``model``.
2025-08-26T19:47:09.9673120Z         submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters
2025-08-26T19:47:09.9673190Z             that belong to the submodules.
2025-08-26T19:47:09.9673290Z         options (StateDictOptions): the options to control how
2025-08-26T19:47:09.9673420Z             model state_dict and optimizer state_dict should be returned. See
2025-08-26T19:47:09.9673490Z             `StateDictOptions` for the details.
2025-08-26T19:47:09.9673530Z     
2025-08-26T19:47:09.9673570Z     Returns:
2025-08-26T19:47:09.9673690Z         ``Tuple`` that contain model state_dict and optimizer state_dict.
2025-08-26T19:47:09.9673730Z     
2025-08-26T19:47:09.9673860Z     :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType]
2025-08-26T19:47:09.9673910Z     
2025-08-26T19:47:09.9674050Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9674100Z     
2025-08-26T19:47:09.9674150Z       warnings.warn(msg)
2025-08-26T19:47:09.9674190Z     
2025-08-26T19:47:09.9674290Z --- Parse Warning: 62 / 146 ---
2025-08-26T19:47:09.9674980Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=97.
2025-08-26T19:47:09.9675130Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9675180Z     
2025-08-26T19:47:09.9675250Z     Save a distributed model in SPMD style.
2025-08-26T19:47:09.9675280Z     
2025-08-26T19:47:09.9675400Z     This function is different from ``torch.save()`` as it handles
2025-08-26T19:47:09.9675560Z     ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards.
2025-08-26T19:47:09.9675600Z     
2025-08-26T19:47:09.9675750Z     For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-08-26T19:47:09.9675840Z     save will call ``state_dict`` before serialization.
2025-08-26T19:47:09.9675880Z     
2025-08-26T19:47:09.9675930Z     .. warning::
2025-08-26T19:47:09.9676070Z         There is no guarantees of Backwards Compatibility across PyTorch versions
2025-08-26T19:47:09.9676120Z         for saved state_dicts.
2025-08-26T19:47:09.9676160Z     
2025-08-26T19:47:09.9676200Z     .. warning::
2025-08-26T19:47:09.9676360Z         If using the `process_group` argument, make sure that only its ranks
2025-08-26T19:47:09.9676500Z         call `save_state_dict` and that all data in state_dict belong to it.
2025-08-26T19:47:09.9676550Z     
2025-08-26T19:47:09.9676600Z     .. note::
2025-08-26T19:47:09.9676750Z         When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of
2025-08-26T19:47:09.9676910Z         the shard_group should be calling `save_state_dict` and the corresponding process
2025-08-26T19:47:09.9676970Z         group needs to be passed in.
2025-08-26T19:47:09.9677010Z     
2025-08-26T19:47:09.9677050Z     .. note::
2025-08-26T19:47:09.9677210Z         If no process group is available, this function assumes the intention is to save the
2025-08-26T19:47:09.9677270Z          state_dict in the local process.
2025-08-26T19:47:09.9677310Z     
2025-08-26T19:47:09.9677350Z     .. note:
2025-08-26T19:47:09.9677440Z         Rank 0 is assumed to be the coordinator rank.
2025-08-26T19:47:09.9677480Z     
2025-08-26T19:47:09.9677520Z     
2025-08-26T19:47:09.9677560Z     Args:
2025-08-26T19:47:09.9677650Z         state_dict (Dict[str, Any]): The state_dict to save.
2025-08-26T19:47:09.9677740Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-08-26T19:47:09.9677870Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-08-26T19:47:09.9678020Z             depends on the storage. It can be a path to a folder or to a file.
2025-08-26T19:47:09.9678130Z             It can also be a key if the storage is a key-value store.
2025-08-26T19:47:09.9678180Z             (Default: ``None``)
2025-08-26T19:47:09.9678260Z         storage_writer (Optional[StorageWriter]):
2025-08-26T19:47:09.9678380Z             Instance of StorageWriter used to perform writes. If this is not
2025-08-26T19:47:09.9678500Z             specified, DCP will automatically infer the writer based on the
2025-08-26T19:47:09.9678620Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-08-26T19:47:09.9678690Z             be raised. (Default: ``None``)
2025-08-26T19:47:09.9678760Z         planner (Optional[SavePlanner]):
2025-08-26T19:47:09.9678870Z             Instance of SavePlanner. If this is not specified, the default
2025-08-26T19:47:09.9678950Z             planner will be used. (Default: ``None``)
2025-08-26T19:47:09.9679030Z         process_group (Optional[ProcessGroup]):
2025-08-26T19:47:09.9679140Z             ProcessGroup to be used for cross-rank synchronization.
2025-08-26T19:47:09.9679190Z             (Default: ``None``)
2025-08-26T19:47:09.9679240Z         no_dist (bool):
2025-08-26T19:47:09.9679340Z             If ``True``, this function will assume the intent is to load
2025-08-26T19:47:09.9679420Z             a checkpoint on a single rank/process.
2025-08-26T19:47:09.9679470Z             (Default: ``False``)
2025-08-26T19:47:09.9679630Z         use_collectives (bool): If ``False``, this function will assume the intent is to save
2025-08-26T19:47:09.9679740Z             a checkpoint without using cross-rank synchronization.
2025-08-26T19:47:09.9679790Z             (Default: ``True``)
2025-08-26T19:47:09.9679930Z             This configuration is experimental and should be used with caution.
2025-08-26T19:47:09.9680100Z             It will change the format of the saved checkpoint and may not be backward compatible.
2025-08-26T19:47:09.9680140Z     
2025-08-26T19:47:09.9680180Z     Returns:
2025-08-26T19:47:09.9680270Z         Metadata: Metadata object for the saved checkpoint.
2025-08-26T19:47:09.9680320Z     
2025-08-26T19:47:09.9680360Z     Example:
2025-08-26T19:47:09.9680410Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9680470Z         >>> my_model = MyModule()
2025-08-26T19:47:09.9680510Z     
2025-08-26T19:47:09.9680570Z         >>> state_dict = {"model": my_model}
2025-08-26T19:47:09.9680610Z     
2025-08-26T19:47:09.9680760Z         >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-08-26T19:47:09.9680810Z         ...     "/checkpoint/1"
2025-08-26T19:47:09.9680910Z         ... )
2025-08-26T19:47:09.9680990Z         >>> torch.distributed.checkpoint.save(
2025-08-26T19:47:09.9681050Z         >>>     state_dict=state_dict,
2025-08-26T19:47:09.9681160Z         >>>     storage_writer=fs_storage_writer,
2025-08-26T19:47:09.9681200Z         >>> )
2025-08-26T19:47:09.9681240Z     
2025-08-26T19:47:09.9681280Z     .. note::
2025-08-26T19:47:09.9681410Z         save_state_dict uses collectives to coordinate writes across ranks.
2025-08-26T19:47:09.9681540Z         For NCCL-based process groups, internal tensor representations of
2025-08-26T19:47:09.9681680Z         objects must be moved to the GPU device before communication takes place.
2025-08-26T19:47:09.9681810Z         In this case, the device used is given by ``torch.cuda.current_device()``
2025-08-26T19:47:09.9681930Z         and it is the user's responsibility to ensure that this is set so that
2025-08-26T19:47:09.9682050Z         each rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-08-26T19:47:09.9685110Z     
2025-08-26T19:47:09.9685280Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9685320Z     
2025-08-26T19:47:09.9685370Z       warnings.warn(msg)
2025-08-26T19:47:09.9685410Z     
2025-08-26T19:47:09.9685540Z --- Parse Warning: 63 / 146 ---
2025-08-26T19:47:09.9686330Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=230.
2025-08-26T19:47:09.9686490Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9686650Z     Asynchronous version of ``save``. This code first de-stages the state_dict on to the
2025-08-26T19:47:09.9686830Z         staging storage (defaults to CPU memory), and then calls the `save` in a separate thread.
2025-08-26T19:47:09.9686870Z     
2025-08-26T19:47:09.9686920Z         .. warning::
2025-08-26T19:47:09.9687020Z             This feature is experimental and subject to change.
2025-08-26T19:47:09.9687110Z             MUST CALL CLOSE AFTER LAST CHECKPOINT IS SAVED
2025-08-26T19:47:09.9687160Z     
2025-08-26T19:47:09.9687200Z         Args:
2025-08-26T19:47:09.9687290Z             state_dict (Dict[str, Any]): The state_dict to save.
2025-08-26T19:47:09.9687380Z             checkpoint_id (Union[str, os.PathLike, None]):
2025-08-26T19:47:09.9687510Z                 The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-08-26T19:47:09.9687640Z                 depends on the storage. It can be a path to a folder or to a file.
2025-08-26T19:47:09.9687750Z                 It can also be a key if the storage is a key-value store.
2025-08-26T19:47:09.9687800Z                 (Default: ``None``)
2025-08-26T19:47:09.9687890Z             storage_writer (Optional[StorageWriter]):
2025-08-26T19:47:09.9688020Z                 Instance of StorageWriter used to perform 'stage' and  'save'. If
2025-08-26T19:47:09.9688160Z                 this is not specified, DCP will automatically infer the writer based on the
2025-08-26T19:47:09.9688300Z                 checkpoint_id. If checkpoint_id is also None, an exception will
2025-08-26T19:47:09.9688360Z                 be raised. (Default: ``None``)
2025-08-26T19:47:09.9688440Z             planner (Optional[SavePlanner]):
2025-08-26T19:47:09.9688560Z                 Instance of SavePlanner. If this is not specified, the default
2025-08-26T19:47:09.9688640Z                 planner will be used. (Default: ``None``)
2025-08-26T19:47:09.9688720Z             process_group (Optional[ProcessGroup]):
2025-08-26T19:47:09.9688830Z                 ProcessGroup to be used for cross-rank synchronization.
2025-08-26T19:47:09.9688890Z                 (Default: ``None``)
2025-08-26T19:47:09.9688990Z             async_checkpointer_type (AsyncCheckpointerType):
2025-08-26T19:47:09.9689140Z                 whether to do checkpoint in separate thread or process
2025-08-26T19:47:09.9689240Z                 (Default: ``AsyncCheckpointerType.THREAD``)
2025-08-26T19:47:09.9689320Z             async_stager (AsyncStager):
2025-08-26T19:47:09.9689480Z                 provides staging implementation. If storage_writer implements AsyncStager
2025-08-26T19:47:09.9689620Z                 and async_stager is provided, async_stager will be used for staging
2025-08-26T19:47:09.9689670Z             no_dist (bool):
2025-08-26T19:47:09.9689780Z                 If ``True``, this function will assume the intent is to save
2025-08-26T19:47:09.9689860Z                 a checkpoint on a single rank/process.
2025-08-26T19:47:09.9689920Z                 (Default: ``False``)
2025-08-26T19:47:09.9690120Z             use_collectives: If False, Save the checkpoint without rank coordination. (Default: ``True``)
2025-08-26T19:47:09.9690260Z                 This configuration is experimental and should be used with caution.
2025-08-26T19:47:09.9690430Z                 It will change the format of the saved checkpoint and may not be backward compatible.
2025-08-26T19:47:09.9690470Z     
2025-08-26T19:47:09.9690510Z         Returns:
2025-08-26T19:47:09.9690650Z             Future: A future holding the resultant Metadata object from `save`.
2025-08-26T19:47:09.9690710Z     
2025-08-26T19:47:09.9690760Z         Example:
2025-08-26T19:47:09.9690820Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9690880Z             >>> my_model = MyModule()
2025-08-26T19:47:09.9690920Z     
2025-08-26T19:47:09.9690990Z             >>> state_dict = {"model": my_model}
2025-08-26T19:47:09.9691030Z     
2025-08-26T19:47:09.9691180Z             >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-08-26T19:47:09.9691240Z             ...     "/checkpoint/1"
2025-08-26T19:47:09.9691280Z             ... )
2025-08-26T19:47:09.9691410Z             >>> checkpoint_future = torch.distributed.checkpoint.async_save(
2025-08-26T19:47:09.9691470Z             >>>     state_dict=state_dict,
2025-08-26T19:47:09.9691550Z             >>>     storage_writer=fs_storage_writer,
2025-08-26T19:47:09.9691590Z             >>> )
2025-08-26T19:47:09.9691630Z             >>>
2025-08-26T19:47:09.9691680Z             >>> # ... do some work ...
2025-08-26T19:47:09.9691730Z             >>>
2025-08-26T19:47:09.9691800Z             >>> checkpoint_future.result()
2025-08-26T19:47:09.9691840Z     
2025-08-26T19:47:09.9691880Z         
2025-08-26T19:47:09.9692030Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9692070Z     
2025-08-26T19:47:09.9692120Z       warnings.warn(msg)
2025-08-26T19:47:09.9692160Z     
2025-08-26T19:47:09.9692260Z --- Parse Warning: 64 / 146 ---
2025-08-26T19:47:09.9692970Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=69.
2025-08-26T19:47:09.9693120Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9693170Z     
2025-08-26T19:47:09.9693290Z     Load a checkpoint into a distributed state dict in SPMD style.
2025-08-26T19:47:09.9693330Z     
2025-08-26T19:47:09.9693460Z     Each rank must have the same keys in their ``state_dict`` provided to this
2025-08-26T19:47:09.9693600Z     API. Mismatched keys may result in hangs or errors. If unsure, you can use
2025-08-26T19:47:09.9693760Z     the ``utils._assert_same_keys`` API to check (but may incur communication
2025-08-26T19:47:09.9693800Z     costs).
2025-08-26T19:47:09.9693840Z     
2025-08-26T19:47:09.9693950Z     Each rank will try to read the least amount of data necessary
2025-08-26T19:47:09.9694090Z     to fulfill the requested `state_dict`. When loading :class:`ShardedTensor`
2025-08-26T19:47:09.9694280Z     or :class:`DTensor` instances, each rank only reads data for their local shards.
2025-08-26T19:47:09.9694330Z     
2025-08-26T19:47:09.9694490Z     For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-08-26T19:47:09.9694680Z     load will first call ``state_dict`` before attempting deserialization, followed by
2025-08-26T19:47:09.9694780Z     ``load_state_dict`` once the deserialization is complete.
2025-08-26T19:47:09.9694930Z     For each non-``Stateful`` object, load will deserialize the object, and then replace
2025-08-26T19:47:09.9695020Z     it in the ``state_dict`` with the deserialized object.
2025-08-26T19:47:09.9695060Z     
2025-08-26T19:47:09.9695110Z     .. warning::
2025-08-26T19:47:09.9695210Z         All tensors in ``state_dict`` must be allocated on their
2025-08-26T19:47:09.9695310Z         destination device *prior to* calling this function.
2025-08-26T19:47:09.9695350Z     
2025-08-26T19:47:09.9695490Z         All non-tensor data is loaded using `torch.load()` and modified in place
2025-08-26T19:47:09.9695540Z         on state_dict.
2025-08-26T19:47:09.9695580Z     
2025-08-26T19:47:09.9695630Z     .. warning::
2025-08-26T19:47:09.9695750Z         Users must call `load_state_dict` on the root module to ensure load
2025-08-26T19:47:09.9695860Z         pos-processing and non-tensor data properly propagates.
2025-08-26T19:47:09.9695930Z     
2025-08-26T19:47:09.9695970Z     .. note:
2025-08-26T19:47:09.9696110Z         If no process group is initialized, this function will assume the intent
2025-08-26T19:47:09.9696240Z         is to load a checkpoint into the local process. This can be useful in the
2025-08-26T19:47:09.9696400Z         case of local inference, and when using regular Tensors (as opposed to DTensor
2025-08-26T19:47:09.9696450Z          or ShardedTensor)
2025-08-26T19:47:09.9696490Z     
2025-08-26T19:47:09.9696530Z     .. note:
2025-08-26T19:47:09.9696620Z         Rank 0 is assumed to be the coordinator rank.
2025-08-26T19:47:09.9696660Z     
2025-08-26T19:47:09.9696700Z     Args:
2025-08-26T19:47:09.9696830Z         state_dict (Dict[str, Any]): The state_dict to load the checkpoint into.
2025-08-26T19:47:09.9696910Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-08-26T19:47:09.9697050Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-08-26T19:47:09.9697170Z             depends on the storage. It can be a path to a folder or to a file.
2025-08-26T19:47:09.9697280Z             It can also be a key if the storage is a key-value store.
2025-08-26T19:47:09.9697330Z             (Default: ``None``)
2025-08-26T19:47:09.9697410Z         storage_reader (Optional[StorageReader]):
2025-08-26T19:47:09.9697530Z             Instance of StorageWriter used to perform reads. If this is not
2025-08-26T19:47:09.9697650Z             specified, DCP will automatically infer the reader based on the
2025-08-26T19:47:09.9697770Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-08-26T19:47:09.9697840Z             be raised. (Default: ``None``)
2025-08-26T19:47:09.9697900Z         planner (Optional[LoadPlanner]):
2025-08-26T19:47:09.9698020Z             Instance of LoadPlanner. If this is not specified, the default
2025-08-26T19:47:09.9698100Z             planner will be used. (Default: ``None``)
2025-08-26T19:47:09.9698180Z         process_group (Optional[ProcessGroup]):
2025-08-26T19:47:09.9698290Z             ProcessGroup to be used for cross-rank synchronization.
2025-08-26T19:47:09.9698340Z             (Default: ``None``)
2025-08-26T19:47:09.9698480Z         no_dist (bool): If ``True``, this function will assume the intent is to load
2025-08-26T19:47:09.9698630Z             a checkpoint without using cross-rank synchronization. (Default: ``False``)
2025-08-26T19:47:09.9698680Z     Returns:
2025-08-26T19:47:09.9698720Z         None.
2025-08-26T19:47:09.9698760Z     
2025-08-26T19:47:09.9698800Z     Examples
2025-08-26T19:47:09.9698860Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9698950Z         >>> my_model = MyModule()
2025-08-26T19:47:09.9699030Z         >>> optimizer = Adagrad(my_model.parameters())
2025-08-26T19:47:09.9699120Z         >>> model_state_dict = my_model.state_dict()
2025-08-26T19:47:09.9699280Z         >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader(
2025-08-26T19:47:09.9699340Z         ...     "/checkpoint/1"
2025-08-26T19:47:09.9699380Z         ... )
2025-08-26T19:47:09.9699420Z     
2025-08-26T19:47:09.9699510Z         >>> torch.distributed.checkpoint.load_state_dict(
2025-08-26T19:47:09.9699580Z         >>>     state_dict=model_state_dict,
2025-08-26T19:47:09.9699650Z         >>>     storage_reader=fs_storage_reader,
2025-08-26T19:47:09.9699690Z         >>> )
2025-08-26T19:47:09.9699730Z     
2025-08-26T19:47:09.9699850Z         >>> # module.load_state_dict() function might have customized steps
2025-08-26T19:47:09.9699930Z         >>> # to flush the state_dict, must call it to
2025-08-26T19:47:09.9699990Z         >>> # ensure correct behavior.
2025-08-26T19:47:09.9700070Z         >>> my_model.load_state_dict(model_state_dict)
2025-08-26T19:47:09.9700110Z     
2025-08-26T19:47:09.9700160Z     .. note::
2025-08-26T19:47:09.9700280Z         load_state_dict uses collectives to coordinate reads across ranks.
2025-08-26T19:47:09.9700420Z         For NCCL-based process groups, internal tensor representations of
2025-08-26T19:47:09.9700580Z         objects must be moved to the GPU device before communication takes place.
2025-08-26T19:47:09.9700720Z         In this case, the device used is given by ``torch.cuda.current_device()``
2025-08-26T19:47:09.9700850Z         and it is the user's responsibility to ensure that this is set so that each
2025-08-26T19:47:09.9700970Z         rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-08-26T19:47:09.9701010Z     
2025-08-26T19:47:09.9701160Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9701200Z     
2025-08-26T19:47:09.9701260Z       warnings.warn(msg)
2025-08-26T19:47:09.9701300Z     
2025-08-26T19:47:09.9701400Z --- Parse Warning: 65 / 146 ---
2025-08-26T19:47:09.9702160Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/checkpoint/optimizer.py line=221.
2025-08-26T19:47:09.9702320Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9702360Z     
2025-08-26T19:47:09.9702480Z     Load a state_dict in conjunction with FSDP sharded optimizer state.
2025-08-26T19:47:09.9702520Z     
2025-08-26T19:47:09.9702620Z     This is the current recommended way to checkpoint FSDP.
2025-08-26T19:47:09.9702670Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9702760Z     >>> import torch.distributed.checkpoint as dist_cp
2025-08-26T19:47:09.9702800Z     >>> # Save
2025-08-26T19:47:09.9702860Z     >>> model: torch.nn.Model
2025-08-26T19:47:09.9702930Z     >>> optim_params = model.parameters()
2025-08-26T19:47:09.9703010Z     >>> optim = torch.optim.SGD(optim_params, lr=0.01)
2025-08-26T19:47:09.9703050Z     >>> # Save
2025-08-26T19:47:09.9703180Z     >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT):
2025-08-26T19:47:09.9703240Z     >>>     state_dict = {
2025-08-26T19:47:09.9703330Z     >>>         "optimizer": FSDP.optim_state_dict(model, optim),
2025-08-26T19:47:09.9703400Z     >>>         "model": model.state_dict()
2025-08-26T19:47:09.9703440Z     >>>     }
2025-08-26T19:47:09.9703490Z     >>>     dist_cp.save_state_dict(
2025-08-26T19:47:09.9703550Z     >>>         state_dict=optim_state,
2025-08-26T19:47:09.9703660Z     >>>         storage_writer=dist_cp.FileSystemWriter("checkpoint"),
2025-08-26T19:47:09.9703740Z     >>>         planner=dist_cp.DefaultSavePlanner(),
2025-08-26T19:47:09.9703780Z     >>>     )
2025-08-26T19:47:09.9703820Z     >>>
2025-08-26T19:47:09.9703930Z     >>> # Load
2025-08-26T19:47:09.9704070Z     >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT):
2025-08-26T19:47:09.9704150Z     >>>     model_state_dict = model_tp.state_dict()
2025-08-26T19:47:09.9704240Z     >>>     checkpoint = {
2025-08-26T19:47:09.9704300Z     >>>         "model": model_state_dict
2025-08-26T19:47:09.9704340Z     >>>     }
2025-08-26T19:47:09.9704400Z     >>>     dist_cp.load_state_dict(
2025-08-26T19:47:09.9704460Z     >>>         state_dict=checkpoint,
2025-08-26T19:47:09.9704580Z     >>>         storage_reader=dist_cp.FileSystemReader(checkpoint_file),
2025-08-26T19:47:09.9704660Z     >>>         planner=dist_cp.DefaultLoadPlanner(),
2025-08-26T19:47:09.9704710Z     >>>     )
2025-08-26T19:47:09.9704800Z     >>>     model.load_state_dict(checkpoint["model_state"])
2025-08-26T19:47:09.9704840Z     >>>
2025-08-26T19:47:09.9704940Z     >>>     optim_state = dist_cp.load_sharded_optimizer_state_dict(
2025-08-26T19:47:09.9705000Z     >>>         model_state_dict,
2025-08-26T19:47:09.9705070Z     >>>         optimizer_key="optimizer",
2025-08-26T19:47:09.9705180Z     >>>         storage_reader=dist_cp.FileSystemReader("checkpoint"),
2025-08-26T19:47:09.9705220Z     >>>     )
2025-08-26T19:47:09.9705260Z     >>>
2025-08-26T19:47:09.9705380Z     >>>     flattened_osd = FSDP.optim_state_dict_to_load(
2025-08-26T19:47:09.9705460Z     >>>        model, optim, optim_state["optimizer"]
2025-08-26T19:47:09.9705510Z     >>>     )
2025-08-26T19:47:09.9705540Z     >>>
2025-08-26T19:47:09.9705620Z     >>>     optim.load_state_dict(flattened_osd)
2025-08-26T19:47:09.9705660Z     
2025-08-26T19:47:09.9705810Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9705850Z     
2025-08-26T19:47:09.9705900Z       warnings.warn(msg)
2025-08-26T19:47:09.9705940Z     
2025-08-26T19:47:09.9706040Z --- Parse Warning: 66 / 146 ---
2025-08-26T19:47:09.9706760Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.__init__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=129.
2025-08-26T19:47:09.9706930Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9706970Z     
2025-08-26T19:47:09.9707110Z     RemoteModule instance can only be created after RPC initialization.
2025-08-26T19:47:09.9707150Z     
2025-08-26T19:47:09.9707270Z     It creates a user-specified module on a specified remote node.
2025-08-26T19:47:09.9707410Z     It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-08-26T19:47:09.9707460Z     executed on the remote node.
2025-08-26T19:47:09.9707600Z     It takes care of autograd recording to ensure the backward pass propagates
2025-08-26T19:47:09.9707690Z     gradients back to the corresponding remote module.
2025-08-26T19:47:09.9707920Z     It can be shared across processors using `RPC framework <https://pytorch.org/docs/stable/rpc.html>`__,
2025-08-26T19:47:09.9708040Z     without incurring any overheads of copying the actual module,
2025-08-26T19:47:09.9708160Z     which is equivalent to an :class:`~torch.distributed.rpc.RRef`
2025-08-26T19:47:09.9708230Z     pointing to the remote module.
2025-08-26T19:47:09.9708270Z     
2025-08-26T19:47:09.9708390Z     The arguments of ``forward_async`` and ``forward`` are the same as
2025-08-26T19:47:09.9708520Z     the ``forward`` method of the module returned by the ``module_cls``.
2025-08-26T19:47:09.9708560Z     
2025-08-26T19:47:09.9708750Z     Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now.
2025-08-26T19:47:09.9708790Z     
2025-08-26T19:47:09.9708950Z     Particularly, to create a hybrid model, typically the local modules should be
2025-08-26T19:47:09.9709210Z     created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``).
2025-08-26T19:47:09.9709260Z     Hybrid Example:
2025-08-26T19:47:09.9709330Z             >>> class HybridModel(nn.Module):
2025-08-26T19:47:09.9709430Z             >>>     def __init__(self) -> None:
2025-08-26T19:47:09.9709490Z             >>>         nn.Module.__init__(self)
2025-08-26T19:47:09.9709590Z             >>>         self.remote_embedding = RemoteModule(...)
2025-08-26T19:47:09.9709670Z             >>>         self.local_linear = nn.Linear(...)
2025-08-26T19:47:09.9709710Z     
2025-08-26T19:47:09.9709830Z     For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-08-26T19:47:09.9709980Z     that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``,
2025-08-26T19:47:09.9710110Z     the generated ``RemoteModule`` will have 2 methods in signature of
2025-08-26T19:47:09.9710190Z     ``def forward(input: Tensor) -> Tensor:`` and
2025-08-26T19:47:09.9710290Z     ``def forward_async(input: Tensor) -> Future[Tensor]:``.
2025-08-26T19:47:09.9710340Z     
2025-08-26T19:47:09.9710380Z     .. note::
2025-08-26T19:47:09.9710470Z         If the remote module is placed on a cuda device,
2025-08-26T19:47:09.9710620Z         any input CPU tensors will be automatically moved to the same cuda device,
2025-08-26T19:47:09.9710880Z         and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend.
2025-08-26T19:47:09.9710920Z     
2025-08-26T19:47:09.9710970Z     Args:
2025-08-26T19:47:09.9711140Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-08-26T19:47:09.9711320Z             The device can be a local device or a remote device specified by one of the following remote
2025-08-26T19:47:09.9711370Z             formats:
2025-08-26T19:47:09.9711410Z     
2025-08-26T19:47:09.9711500Z                 1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-08-26T19:47:09.9711600Z                 2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-08-26T19:47:09.9711640Z     
2025-08-26T19:47:09.9711790Z             In addition, the device field can be optional and the default value is "cpu".
2025-08-26T19:47:09.9711860Z         module_cls (nn.Module): For example,
2025-08-26T19:47:09.9711930Z             >>> class MyModule(nn.Module):
2025-08-26T19:47:09.9711990Z             >>>     def forward(input):
2025-08-26T19:47:09.9712050Z             >>>         return input + 1
2025-08-26T19:47:09.9712090Z             >>>
2025-08-26T19:47:09.9712150Z             >>> module_cls = MyModule
2025-08-26T19:47:09.9712270Z         args (Sequence, optional): args to be passed to ``module_cls``.
2025-08-26T19:47:09.9712390Z         kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-08-26T19:47:09.9712560Z         _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-08-26T19:47:09.9712700Z             to be created. The type object should be decorated by @torch.jit.interface.
2025-08-26T19:47:09.9712840Z             If not provided, the generated RemoteModule is not torchscript-able.
2025-08-26T19:47:09.9712990Z             Warning, this is an experimental API and susceptible to frequent changes.
2025-08-26T19:47:09.9713030Z     
2025-08-26T19:47:09.9713070Z     Returns:
2025-08-26T19:47:09.9713230Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-08-26T19:47:09.9713370Z         user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-08-26T19:47:09.9713540Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-08-26T19:47:09.9713630Z         on the user-provided module on the remote side.
2025-08-26T19:47:09.9713670Z     
2025-08-26T19:47:09.9713710Z     Example::
2025-08-26T19:47:09.9713810Z         Run the following code in two different processes:
2025-08-26T19:47:09.9713850Z     
2025-08-26T19:47:09.9713920Z         >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:09.9714010Z         >>> # On worker 0:
2025-08-26T19:47:09.9714060Z         >>> import torch
2025-08-26T19:47:09.9714140Z         >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:09.9714230Z         >>> from torch import nn, Tensor
2025-08-26T19:47:09.9714370Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-08-26T19:47:09.9714410Z         >>>
2025-08-26T19:47:09.9714500Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-26T19:47:09.9714580Z         >>> remote_linear_module = RemoteModule(
2025-08-26T19:47:09.9714660Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-08-26T19:47:09.9714700Z         >>> )
2025-08-26T19:47:09.9714770Z         >>> input = torch.randn(128, 20)
2025-08-26T19:47:09.9714860Z         >>> ret_fut = remote_linear_module.forward_async(input)
2025-08-26T19:47:09.9714920Z         >>> ret = ret_fut.wait()
2025-08-26T19:47:09.9714970Z         >>> rpc.shutdown()
2025-08-26T19:47:09.9715010Z     
2025-08-26T19:47:09.9715070Z         >>> # On worker 1:
2025-08-26T19:47:09.9715120Z         >>> import torch
2025-08-26T19:47:09.9715200Z         >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:09.9715240Z         >>>
2025-08-26T19:47:09.9715330Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-26T19:47:09.9715400Z         >>> rpc.shutdown()
2025-08-26T19:47:09.9715450Z     
2025-08-26T19:47:09.9715600Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9715640Z     
2025-08-26T19:47:09.9715700Z       warnings.warn(msg)
2025-08-26T19:47:09.9715740Z     
2025-08-26T19:47:09.9715840Z --- Parse Warning: 67 / 146 ---
2025-08-26T19:47:09.9716620Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=506.
2025-08-26T19:47:09.9716790Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9716830Z     
2025-08-26T19:47:09.9717030Z     Besides the constructor, a RemoteModule instance can also be initialized given a module RRef.
2025-08-26T19:47:09.9717080Z     
2025-08-26T19:47:09.9717270Z     This alternate initialization method can be particularly useful if we want to create multiple
2025-08-26T19:47:09.9717460Z     RemoteModule instances that share the same underlying module and reduce memory consumption.
2025-08-26T19:47:09.9717510Z     
2025-08-26T19:47:09.9717680Z     Moreover, this also provides a workaround for passing script RemoteModule over RPC,
2025-08-26T19:47:09.9717790Z     which is not supported. The recommended way is as follows:
2025-08-26T19:47:09.9717830Z     
2025-08-26T19:47:09.9717900Z         1. the sender creates a RemoteModule;
2025-08-26T19:47:09.9717990Z         2. the sender sends its ``module_rref`` over RPC;
2025-08-26T19:47:09.9718200Z         3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``.
2025-08-26T19:47:09.9718240Z     
2025-08-26T19:47:09.9718290Z     Example::
2025-08-26T19:47:09.9718380Z         Run the following code in two different processes:
2025-08-26T19:47:09.9718430Z     
2025-08-26T19:47:09.9718500Z         >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:09.9718550Z         >>> # On worker 0:
2025-08-26T19:47:09.9718600Z         >>> import torch
2025-08-26T19:47:09.9718680Z         >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:09.9718740Z         >>> from torch import nn, Tensor
2025-08-26T19:47:09.9718880Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-08-26T19:47:09.9718920Z         >>>
2025-08-26T19:47:09.9719010Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-26T19:47:09.9719070Z         >>> remote_module = RemoteModule(
2025-08-26T19:47:09.9719180Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-08-26T19:47:09.9719230Z         >>> )
2025-08-26T19:47:09.9719270Z         >>>
2025-08-26T19:47:09.9719340Z         >>> remote_module1 = rpc.rpc_sync(
2025-08-26T19:47:09.9719410Z         >>>     "worker1/cpu",
2025-08-26T19:47:09.9719490Z         >>>     RemoteModule.init_from_module_rref,
2025-08-26T19:47:09.9719590Z         >>>     ("worker1/cpu", remote_module1.get_module_rref()),
2025-08-26T19:47:09.9719640Z         >>> )
2025-08-26T19:47:09.9719700Z         >>> rpc.shutdown()
2025-08-26T19:47:09.9719740Z     
2025-08-26T19:47:09.9719790Z         >>> # On worker 1:
2025-08-26T19:47:09.9719840Z         >>> import torch
2025-08-26T19:47:09.9719910Z         >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:09.9719960Z         >>>
2025-08-26T19:47:09.9720040Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-26T19:47:09.9720090Z         >>> rpc.shutdown()
2025-08-26T19:47:09.9720130Z     
2025-08-26T19:47:09.9720170Z     Args:
2025-08-26T19:47:09.9720360Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-08-26T19:47:09.9720550Z             The device can be a local device or a remote device specified by one of the following remote
2025-08-26T19:47:09.9720600Z             formats:
2025-08-26T19:47:09.9720660Z     
2025-08-26T19:47:09.9720760Z                 1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-08-26T19:47:09.9720860Z                 2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-08-26T19:47:09.9720900Z     
2025-08-26T19:47:09.9721060Z             In addition, the device field can be optional and the default value is "cpu".
2025-08-26T19:47:09.9721210Z         module_rref (RRef[nn.Module]): The module reference shared by both the caller and
2025-08-26T19:47:09.9721270Z             the created remote module.
2025-08-26T19:47:09.9721440Z         _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-08-26T19:47:09.9721580Z             to be created. The type object should be decorated by @torch.jit.interface.
2025-08-26T19:47:09.9721720Z             If not provided, the generated RemoteModule is not torchscript-able.
2025-08-26T19:47:09.9721860Z             Warning, this is an experimental API and susceptible to frequent changes.
2025-08-26T19:47:09.9721900Z     
2025-08-26T19:47:09.9721940Z     Returns:
2025-08-26T19:47:09.9722090Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-08-26T19:47:09.9722240Z         user-provided ``module_rref``, it has a blocking ``forward`` method and an
2025-08-26T19:47:09.9722400Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-08-26T19:47:09.9722490Z         on the user-provided module on the remote side.
2025-08-26T19:47:09.9722530Z     
2025-08-26T19:47:09.9722680Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9722720Z     
2025-08-26T19:47:09.9722770Z       warnings.warn(msg)
2025-08-26T19:47:09.9722810Z     
2025-08-26T19:47:09.9722910Z --- Parse Warning: 68 / 146 ---
2025-08-26T19:47:09.9723610Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RemoteModule in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=598.
2025-08-26T19:47:09.9723770Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9723810Z     
2025-08-26T19:47:09.9723940Z         A RemoteModule instance can only be created after RPC initialization.
2025-08-26T19:47:09.9723980Z     
2025-08-26T19:47:09.9724100Z         It creates a user-specified module on a specified remote node.
2025-08-26T19:47:09.9724250Z         It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-08-26T19:47:09.9724310Z         executed on the remote node.
2025-08-26T19:47:09.9724510Z         It takes care of autograd recording to ensure the backward pass propagates
2025-08-26T19:47:09.9724610Z         gradients back to the corresponding remote module.
2025-08-26T19:47:09.9724680Z     
2025-08-26T19:47:09.9724810Z         It generates two methods ``forward_async`` and ``forward`` based on the
2025-08-26T19:47:09.9724940Z         signature of the ``forward`` method of ``module_cls``. ``forward_async``
2025-08-26T19:47:09.9725090Z         runs asynchronously and returns a Future. The arguments of ``forward_async``
2025-08-26T19:47:09.9725210Z         and ``forward`` are the same as the ``forward`` method of the module
2025-08-26T19:47:09.9725270Z         returned by the ``module_cls``.
2025-08-26T19:47:09.9725320Z     
2025-08-26T19:47:09.9725440Z         For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-08-26T19:47:09.9725590Z         that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``,
2025-08-26T19:47:09.9725730Z         the generated ``RemoteModule`` will have 2 methods with the signatures:
2025-08-26T19:47:09.9725780Z     
2025-08-26T19:47:09.9725850Z         | ``def forward(input: Tensor) -> Tensor:``
2025-08-26T19:47:09.9725960Z         | ``def forward_async(input: Tensor) -> Future[Tensor]:``
2025-08-26T19:47:09.9726040Z     
2025-08-26T19:47:09.9726080Z     Args:
2025-08-26T19:47:09.9726260Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-08-26T19:47:09.9726480Z             The format should be "<workername>/<device>", where the device field can be parsed as torch.device type.
2025-08-26T19:47:09.9726560Z             E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0".
2025-08-26T19:47:09.9726710Z             In addition, the device field can be optional and the default value is "cpu".
2025-08-26T19:47:09.9726860Z         module_cls (nn.Module): Class for the module to be created remotely. For example,
2025-08-26T19:47:09.9726910Z     
2025-08-26T19:47:09.9726970Z             >>> class MyModule(nn.Module):
2025-08-26T19:47:09.9727030Z             >>>     def forward(input):
2025-08-26T19:47:09.9727080Z             >>>         return input + 1
2025-08-26T19:47:09.9727130Z             >>>
2025-08-26T19:47:09.9727180Z             >>> module_cls = MyModule
2025-08-26T19:47:09.9727220Z     
2025-08-26T19:47:09.9727350Z         args (Sequence, optional): args to be passed to ``module_cls``.
2025-08-26T19:47:09.9727460Z         kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-08-26T19:47:09.9727500Z     
2025-08-26T19:47:09.9727540Z     Returns:
2025-08-26T19:47:09.9727690Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-08-26T19:47:09.9727830Z         user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-08-26T19:47:09.9728000Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-08-26T19:47:09.9728080Z         on the user-provided module on the remote side.
2025-08-26T19:47:09.9728120Z     
2025-08-26T19:47:09.9728170Z     Example::
2025-08-26T19:47:09.9728260Z         Run the following code in two different processes:
2025-08-26T19:47:09.9728300Z     
2025-08-26T19:47:09.9728370Z         >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:09.9728420Z         >>> # On worker 0:
2025-08-26T19:47:09.9728470Z         >>> import torch
2025-08-26T19:47:09.9728540Z         >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:09.9728600Z         >>> from torch import nn, Tensor
2025-08-26T19:47:09.9728740Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-08-26T19:47:09.9728780Z         >>>
2025-08-26T19:47:09.9728860Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-26T19:47:09.9728930Z         >>> remote_linear_module = RemoteModule(
2025-08-26T19:47:09.9729010Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-08-26T19:47:09.9729050Z         >>> )
2025-08-26T19:47:09.9729160Z         >>> input = torch.randn(128, 20)
2025-08-26T19:47:09.9729250Z         >>> ret_fut = remote_linear_module.forward_async(input)
2025-08-26T19:47:09.9729310Z         >>> ret = ret_fut.wait()
2025-08-26T19:47:09.9729380Z         >>> rpc.shutdown()
2025-08-26T19:47:09.9729420Z     
2025-08-26T19:47:09.9729470Z         >>> # On worker 1:
2025-08-26T19:47:09.9729520Z         >>> import torch
2025-08-26T19:47:09.9729590Z         >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:09.9729630Z         >>>
2025-08-26T19:47:09.9729720Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-26T19:47:09.9729770Z         >>> rpc.shutdown()
2025-08-26T19:47:09.9729810Z     
2025-08-26T19:47:09.9729930Z         Furthermore, a more practical example that is combined with
2025-08-26T19:47:09.9730210Z         `DistributedDataParallel <https://pytorch.org/docs/stable/nn.html#torch.nn.parallel.DistributedDataParallel>`__ (DDP)
2025-08-26T19:47:09.9730410Z         can be found in this `tutorial <https://pytorch.org/tutorials/advanced/rpc_ddp_tutorial.html>`__.
2025-08-26T19:47:09.9730450Z     
2025-08-26T19:47:09.9730600Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9730640Z     
2025-08-26T19:47:09.9730700Z       warnings.warn(msg)
2025-08-26T19:47:09.9730760Z     
2025-08-26T19:47:09.9730860Z --- Parse Warning: 69 / 146 ---
2025-08-26T19:47:09.9731610Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=construct_and_record_rdzv_event in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/elastic/events/__init__.py line=94.
2025-08-26T19:47:09.9731760Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9731810Z     
2025-08-26T19:47:09.9731930Z     Initialize rendezvous event object and record its operations.
2025-08-26T19:47:09.9731970Z     
2025-08-26T19:47:09.9732010Z     Args:
2025-08-26T19:47:09.9732090Z         run_id (str): The run id of the rendezvous.
2025-08-26T19:47:09.9732170Z         message (str): The message describing the event.
2025-08-26T19:47:09.9732330Z         node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED).
2025-08-26T19:47:09.9732440Z         name (str): Event name. (E.g. Current action being performed).
2025-08-26T19:47:09.9732510Z         hostname (str): Hostname of the node.
2025-08-26T19:47:09.9732600Z         pid (Optional[int]): The process id of the node.
2025-08-26T19:47:09.9732750Z         master_endpoint (str): The master endpoint for the rendezvous store, if known.
2025-08-26T19:47:09.9732910Z         local_id (Optional[int]):  The local_id of the node, if defined in dynamic_rendezvous.py
2025-08-26T19:47:09.9733010Z         rank (Optional[int]): The rank of the node, if known.
2025-08-26T19:47:09.9733050Z     Returns:
2025-08-26T19:47:09.9733090Z         None
2025-08-26T19:47:09.9733140Z     Example:
2025-08-26T19:47:09.9733210Z         >>> # See DynamicRendezvousHandler class
2025-08-26T19:47:09.9733260Z         >>> def _record(
2025-08-26T19:47:09.9733310Z         ...     self,
2025-08-26T19:47:09.9733360Z         ...     message: str,
2025-08-26T19:47:09.9733440Z         ...     node_state: NodeState = NodeState.RUNNING,
2025-08-26T19:47:09.9733510Z         ...     rank: Optional[int] = None,
2025-08-26T19:47:09.9733550Z         ... ) -> None:
2025-08-26T19:47:09.9733630Z         ...     construct_and_record_rdzv_event(
2025-08-26T19:47:09.9733730Z         ...         name=f"{self.__class__.__name__}.{get_method_name()}",
2025-08-26T19:47:09.9733810Z         ...         run_id=self._settings.run_id,
2025-08-26T19:47:09.9733860Z         ...         message=message,
2025-08-26T19:47:09.9733920Z         ...         node_state=node_state,
2025-08-26T19:47:09.9733990Z         ...         hostname=self._this_node.addr,
2025-08-26T19:47:09.9734090Z         ...         pid=self._this_node.pid,
2025-08-26T19:47:09.9734180Z         ...         local_id=self._this_node.local_id,
2025-08-26T19:47:09.9734230Z         ...         rank=rank,
2025-08-26T19:47:09.9734270Z         ...     )
2025-08-26T19:47:09.9734330Z     
2025-08-26T19:47:09.9734490Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9734530Z     
2025-08-26T19:47:09.9734580Z       warnings.warn(msg)
2025-08-26T19:47:09.9734620Z     
2025-08-26T19:47:09.9734720Z --- Parse Warning: 70 / 146 ---
2025-08-26T19:47:09.9735420Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_CustomReducer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py line=29.
2025-08-26T19:47:09.9735580Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9735620Z     
2025-08-26T19:47:09.9735760Z     Custom reducer class that can be used to specify a custom operation that
2025-08-26T19:47:09.9735870Z     reduces losses of multiple microbatches into one value.
2025-08-26T19:47:09.9735910Z     
2025-08-26T19:47:09.9739070Z     Example:
2025-08-26T19:47:09.9739150Z     >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9739300Z     >>> sum_reducer = _CustomReducer(
2025-08-26T19:47:09.9739350Z     >>>     torch.tensor(0.0),
2025-08-26T19:47:09.9739400Z     >>>     lambda a, b: a + b
2025-08-26T19:47:09.9739450Z     >>> )
2025-08-26T19:47:09.9739490Z     
2025-08-26T19:47:09.9739640Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9739680Z     
2025-08-26T19:47:09.9739730Z       warnings.warn(msg)
2025-08-26T19:47:09.9739760Z     
2025-08-26T19:47:09.9739890Z --- Parse Warning: 71 / 146 ---
2025-08-26T19:47:09.9740670Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PeriodicModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38.
2025-08-26T19:47:09.9740830Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9740870Z     
2025-08-26T19:47:09.9740980Z     Averages parameters periodically after the warm-up stage.
2025-08-26T19:47:09.9741020Z     
2025-08-26T19:47:09.9741180Z     This can be used for running `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-08-26T19:47:09.9741300Z     by running :class:`~torch.nn.DistributedDataParallel` (DDP)
2025-08-26T19:47:09.9741440Z     using the subgroups created by :meth:`~torch.distributed.new_subgroups`.
2025-08-26T19:47:09.9741480Z     
2025-08-26T19:47:09.9741520Z     Args:
2025-08-26T19:47:09.9741620Z         period (int): The number of steps per model averaging.
2025-08-26T19:47:09.9741790Z                       Usually the period should be greater than ``1`` to reduce the communication cost.
2025-08-26T19:47:09.9741870Z                       Otherwise, only DDP needs to be used.
2025-08-26T19:47:09.9741990Z         warmup_steps (int): The number of warm-up steps. During this stage,
2025-08-26T19:47:09.9742070Z                             model averaging is skipped.
2025-08-26T19:47:09.9742190Z         process_group: The process group to be used for all-reduce.
2025-08-26T19:47:09.9742280Z                        If ``None``, the default process group, which
2025-08-26T19:47:09.9742400Z                        is created by :func:`torch.distributed.init_process_group`,
2025-08-26T19:47:09.9742470Z                        will be used. (default: ``None``)
2025-08-26T19:47:09.9742510Z     
2025-08-26T19:47:09.9742560Z     Example::
2025-08-26T19:47:09.9742600Z     
2025-08-26T19:47:09.9742670Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:09.9742720Z         >>> import torch
2025-08-26T19:47:09.9742820Z         >>> import torch.distributed as dist
2025-08-26T19:47:09.9743020Z         >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD
2025-08-26T19:47:09.9743210Z         >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-08-26T19:47:09.9743270Z         >>> import torch.nn as nn
2025-08-26T19:47:09.9743310Z         >>>
2025-08-26T19:47:09.9743420Z         >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-08-26T19:47:09.9743480Z         >>> torch.cuda.set_device(rank)
2025-08-26T19:47:09.9743560Z         >>> module = nn.Linear(1, 1, bias=False).cuda()
2025-08-26T19:47:09.9743650Z         >>> model = nn.parallel.DistributedDataParallel(
2025-08-26T19:47:09.9743740Z         >>>    module, device_ids=[rank], output_device=rank
2025-08-26T19:47:09.9743780Z         >>> )
2025-08-26T19:47:09.9743860Z         >>> # Register a post-localSGD communication hook.
2025-08-26T19:47:09.9744050Z         >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-08-26T19:47:09.9744140Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-08-26T19:47:09.9744190Z         >>>
2025-08-26T19:47:09.9744350Z         >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-08-26T19:47:09.9744470Z         >>> # After 100 steps, run model averaging every 4 steps.
2025-08-26T19:47:09.9744660Z         >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-08-26T19:47:09.9744820Z         >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-08-26T19:47:09.9744880Z         >>> for step in range(0, 200):
2025-08-26T19:47:09.9744940Z         >>>    optimizer.zero_grad()
2025-08-26T19:47:09.9745010Z         >>>    loss = loss_fn(output, labels)
2025-08-26T19:47:09.9745060Z         >>>    loss.backward()
2025-08-26T19:47:09.9745120Z         >>>    optimizer.step()
2025-08-26T19:47:09.9745240Z         >>>    # Will average model parameters globally every 4 steps. Thus,
2025-08-26T19:47:09.9745360Z         >>>    # inter-node communication only occurs every 4 iterations after
2025-08-26T19:47:09.9745440Z         >>>    # the initial ``warmup_steps`` period.
2025-08-26T19:47:09.9745540Z         >>>    averager.average_parameters(model.parameters())
2025-08-26T19:47:09.9745580Z     
2025-08-26T19:47:09.9745730Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9745770Z     
2025-08-26T19:47:09.9745820Z       warnings.warn(msg)
2025-08-26T19:47:09.9745860Z     
2025-08-26T19:47:09.9745960Z --- Parse Warning: 72 / 146 ---
2025-08-26T19:47:09.9746800Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=HierarchicalModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19.
2025-08-26T19:47:09.9746960Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9746990Z     
2025-08-26T19:47:09.9747190Z     Runs hierarchical model averaging (`hierarchical SGD <https://arxiv.org/pdf/2010.12998.pdf>`_).
2025-08-26T19:47:09.9747230Z     
2025-08-26T19:47:09.9747420Z     Process groups of different sizes are organized in a hierarchy, and they average parameters
2025-08-26T19:47:09.9747550Z     by using different periods concurrently after the warm-up stage.
2025-08-26T19:47:09.9747800Z     This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`
2025-08-26T19:47:09.9748000Z     that supports `post-local SGD <https://arxiv.org/abs/1808.07217>`_, which essentially only supports
2025-08-26T19:47:09.9748180Z     a two-level hierarchy: the intra-machine level and the global level, where the intra-machine
2025-08-26T19:47:09.9749170Z     level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`.
2025-08-26T19:47:09.9749400Z     Similarly, the process groups within this class do not have such an intra-machine process
2025-08-26T19:47:09.9749610Z     subgroup, which should be embedded by the post-local SGD communication hook instead.
2025-08-26T19:47:09.9749660Z     
2025-08-26T19:47:09.9749700Z     Args:
2025-08-26T19:47:09.9749860Z         period_group_size_dict: An ordered dict mapping keys of model averaging period to
2025-08-26T19:47:09.9749980Z                                 process group size, used for initializing process groups of
2025-08-26T19:47:09.9750130Z                                 different sizes in a hierarchy to average parameters concurrently.
2025-08-26T19:47:09.9750260Z                                 Particularly, at each iteration, there will be at most a single
2025-08-26T19:47:09.9750400Z                                 process group that runs averaging -- the period of such group should
2025-08-26T19:47:09.9750530Z                                 have the largest period which the current step can be divided by.
2025-08-26T19:47:09.9750640Z                                 For example, if the dict has three keys: 2, 4, and 8,
2025-08-26T19:47:09.9750840Z                                 then this means totally three process groups will be created to
2025-08-26T19:47:09.9750970Z                                 average parameters every 2, 4, and 8 iterations, respectively.
2025-08-26T19:47:09.9751090Z                                 At the 4th iteration, only the second process group will run
2025-08-26T19:47:09.9751200Z                                 averaging, because the first process group should be a
2025-08-26T19:47:09.9751340Z                                 subset of the second process group, and no need to execute the first
2025-08-26T19:47:09.9751410Z                                 process group redundantly.
2025-08-26T19:47:09.9751540Z                                 On the other hand, the third process group can only be triggered
2025-08-26T19:47:09.9751680Z                                 every 8 iterations, so it will not be triggered at the 4th iteration.
2025-08-26T19:47:09.9751870Z         warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped.
2025-08-26T19:47:09.9752130Z         process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging.
2025-08-26T19:47:09.9752240Z                                                 If ``None``, the default process group, which is created
2025-08-26T19:47:09.9752370Z                                                 by :func:`torch.distributed.init_process_group`, will be used.
2025-08-26T19:47:09.9752450Z                                                 (default: ``None``)
2025-08-26T19:47:09.9752490Z     
2025-08-26T19:47:09.9752540Z     Example::
2025-08-26T19:47:09.9752610Z         >>> # xdoctest: +SKIP('undefined rank')
2025-08-26T19:47:09.9752680Z         >>> from collections import OrderedDict
2025-08-26T19:47:09.9752730Z         >>> import torch
2025-08-26T19:47:09.9752800Z         >>> import torch.distributed as dist
2025-08-26T19:47:09.9752970Z         >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-08-26T19:47:09.9753030Z         >>>     PostLocalSGDState,
2025-08-26T19:47:09.9753080Z         >>>     post_localSGD_hook,
2025-08-26T19:47:09.9753120Z         >>> )
2025-08-26T19:47:09.9753350Z         >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD
2025-08-26T19:47:09.9753400Z         >>> import torch.nn as nn
2025-08-26T19:47:09.9753450Z         >>>
2025-08-26T19:47:09.9753550Z         >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-08-26T19:47:09.9753610Z         >>> torch.cuda.set_device(rank)
2025-08-26T19:47:09.9753700Z         >>> module = nn.Linear(1, 1, bias=False).to(rank)
2025-08-26T19:47:09.9753840Z         >>> model = nn.parallel.DistributedDataParallel(
2025-08-26T19:47:09.9753930Z         >>>    module, device_ids=[rank], output_device=rank
2025-08-26T19:47:09.9754000Z         >>> )
2025-08-26T19:47:09.9754080Z         >>> # Register a post-localSGD communication hook.
2025-08-26T19:47:09.9754250Z         >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4.
2025-08-26T19:47:09.9754320Z         >>> subgroup, _ = dist.new_subgroups()
2025-08-26T19:47:09.9754510Z         >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100)
2025-08-26T19:47:09.9754600Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-08-26T19:47:09.9754650Z         >>>
2025-08-26T19:47:09.9754810Z         >>> # Average parameters among each group of 8 processes every 4 iterations, and among all
2025-08-26T19:47:09.9754890Z         >>> # the 16 processes every 16 iterations.
2025-08-26T19:47:09.9755000Z         >>> averager = hierarchicalSGD.HierarchicalModelAverager(
2025-08-26T19:47:09.9755150Z         >>>     period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100)
2025-08-26T19:47:09.9755340Z         >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-08-26T19:47:09.9755530Z         >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-08-26T19:47:09.9755630Z         >>> # After 100 steps, run model averaging at two levels.
2025-08-26T19:47:09.9755680Z         >>> for step in range(0, 200):
2025-08-26T19:47:09.9755740Z         >>>    optimizer.zero_grad()
2025-08-26T19:47:09.9755810Z         >>>    loss = loss_fn(output, labels)
2025-08-26T19:47:09.9755860Z         >>>    loss.backward()
2025-08-26T19:47:09.9755920Z         >>>    optimizer.step()
2025-08-26T19:47:09.9756010Z         >>>    # Average parameters after ``optimizer.step()``.
2025-08-26T19:47:09.9756180Z         >>>    # Thus, the inter-node communication only occurs periodically after ``warmup_steps``.
2025-08-26T19:47:09.9756280Z         >>>    averager.average_parameters(model.parameters())
2025-08-26T19:47:09.9756320Z     
2025-08-26T19:47:09.9756370Z     .. warning ::
2025-08-26T19:47:09.9756520Z         The last group size in the dict must be the size of the provided ``process_group``,
2025-08-26T19:47:09.9756670Z         which indicates model averaging at the highest level of the hierarchy.
2025-08-26T19:47:09.9756850Z         If ``process_group`` is not provided, then the last group size should be equal to the world size.
2025-08-26T19:47:09.9756890Z     
2025-08-26T19:47:09.9756940Z     .. warning ::
2025-08-26T19:47:09.9757080Z         `HierarchicalModelAverager` is experimental and subject to change.
2025-08-26T19:47:09.9757120Z     
2025-08-26T19:47:09.9757270Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9757310Z     
2025-08-26T19:47:09.9757370Z       warnings.warn(msg)
2025-08-26T19:47:09.9757410Z     
2025-08-26T19:47:09.9757540Z --- Parse Warning: 73 / 146 ---
2025-08-26T19:47:09.9758330Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=post_localSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72.
2025-08-26T19:47:09.9758490Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9758530Z     
2025-08-26T19:47:09.9758590Z     Run post-localSGD algorithm.
2025-08-26T19:47:09.9758630Z     
2025-08-26T19:47:09.9758780Z     This DDP communication hook is used for running post-localSGD algorithm,
2025-08-26T19:47:09.9758880Z     by combining with a model averaging component (e.g.,
2025-08-26T19:47:09.9759080Z     :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`)
2025-08-26T19:47:09.9759190Z     that runs after the optimizer step.
2025-08-26T19:47:09.9759230Z     
2025-08-26T19:47:09.9759280Z     Args:
2025-08-26T19:47:09.9759420Z         state (PostLocalSGDState): State information to run post-localSGD.
2025-08-26T19:47:09.9759610Z             Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD.
2025-08-26T19:47:09.9759860Z         bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-08-26T19:47:09.9760000Z             Note that since DDP comm hook only supports single process single device mode,
2025-08-26T19:47:09.9760100Z             only exactly one tensor is stored in this bucket.
2025-08-26T19:47:09.9760140Z     
2025-08-26T19:47:09.9760190Z     Returns:
2025-08-26T19:47:09.9760330Z         Future handler of the communication, which updates the gradients in place.
2025-08-26T19:47:09.9760370Z     
2025-08-26T19:47:09.9760420Z     Example::
2025-08-26T19:47:09.9760470Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9760630Z         >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup,
2025-08-26T19:47:09.9760700Z                                   start_localSGD_iter=10)
2025-08-26T19:47:09.9760810Z         >>> ddp_model.register_comm_hook(state, post_localSGD_hook)
2025-08-26T19:47:09.9761030Z         >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``.
2025-08-26T19:47:09.9761240Z         >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module.
2025-08-26T19:47:09.9761280Z     
2025-08-26T19:47:09.9761440Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9761470Z     
2025-08-26T19:47:09.9761530Z       warnings.warn(msg)
2025-08-26T19:47:09.9761570Z     
2025-08-26T19:47:09.9761670Z --- Parse Warning: 74 / 146 ---
2025-08-26T19:47:09.9762420Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=powerSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342.
2025-08-26T19:47:09.9762590Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9762630Z     
2025-08-26T19:47:09.9762690Z     Implement PowerSGD algorithm.
2025-08-26T19:47:09.9762730Z     
2025-08-26T19:47:09.9762860Z     This DDP communication hook implements PowerSGD gradient compression
2025-08-26T19:47:09.9763010Z     algorithm described in the `paper <https://arxiv.org/abs/1905.13727>`_.
2025-08-26T19:47:09.9763160Z     Once gradient tensors are aggregated across all workers, this hook applies
2025-08-26T19:47:09.9763210Z     compression as follows:
2025-08-26T19:47:09.9763250Z     
2025-08-26T19:47:09.9763510Z     1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups:
2025-08-26T19:47:09.9763550Z     
2025-08-26T19:47:09.9763800Z         1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth.
2025-08-26T19:47:09.9763840Z     
2025-08-26T19:47:09.9764080Z         1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases).
2025-08-26T19:47:09.9764120Z     
2025-08-26T19:47:09.9764180Z     2. Handles uncompressed tensors:
2025-08-26T19:47:09.9764220Z     
2025-08-26T19:47:09.9764520Z         2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression;
2025-08-26T19:47:09.9764560Z     
2025-08-26T19:47:09.9764770Z         2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor.
2025-08-26T19:47:09.9764810Z     
2025-08-26T19:47:09.9764990Z     3. Handles the tensors that should be compressed by PowerSGD compression:
2025-08-26T19:47:09.9765040Z     
2025-08-26T19:47:09.9765190Z         3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M,
2025-08-26T19:47:09.9765390Z         such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized;
2025-08-26T19:47:09.9765440Z     
2025-08-26T19:47:09.9765530Z         3.2. Computes each P in Ps, which is equal to MQ;
2025-08-26T19:47:09.9765570Z     
2025-08-26T19:47:09.9765630Z         3.3. Allreduces Ps as a batch;
2025-08-26T19:47:09.9765670Z     
2025-08-26T19:47:09.9765740Z         3.4. Orthogonalizes each P in Ps;
2025-08-26T19:47:09.9765780Z     
2025-08-26T19:47:09.9765890Z         3.5. Computes each Q in Qs, which is approximately equal to M^TP;
2025-08-26T19:47:09.9765930Z     
2025-08-26T19:47:09.9766000Z         3.6. Allreduces Qs as a batch;
2025-08-26T19:47:09.9766030Z     
2025-08-26T19:47:09.9766210Z         3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T.
2025-08-26T19:47:09.9766250Z     
2025-08-26T19:47:09.9766500Z     Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations.
2025-08-26T19:47:09.9766670Z     This not only gives the user more control over the tradeoff between speedup and accuracy,
2025-08-26T19:47:09.9766950Z     but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers.
2025-08-26T19:47:09.9766980Z     
2025-08-26T19:47:09.9767020Z     Args:
2025-08-26T19:47:09.9767280Z         state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc.
2025-08-26T19:47:09.9767490Z             To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter``
2025-08-26T19:47:09.9767560Z             and ``min_compression_rate``.
2025-08-26T19:47:09.9767800Z         bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-08-26T19:47:09.9767960Z             Note that since DDP comm hook only supports single process single device mode,
2025-08-26T19:47:09.9768050Z             only exactly one tensor is stored in this bucket.
2025-08-26T19:47:09.9768100Z     
2025-08-26T19:47:09.9768140Z     Returns:
2025-08-26T19:47:09.9768290Z         Future handler of the communication, which updates the gradients in place.
2025-08-26T19:47:09.9768320Z     
2025-08-26T19:47:09.9768370Z     Example::
2025-08-26T19:47:09.9768420Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9768590Z         >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1,
2025-08-26T19:47:09.9768690Z                                   start_powerSGD_iter=10, min_compression_rate=0.5)
2025-08-26T19:47:09.9768790Z         >>> ddp_model.register_comm_hook(state, powerSGD_hook)
2025-08-26T19:47:09.9768820Z     
2025-08-26T19:47:09.9768980Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9769020Z     
2025-08-26T19:47:09.9769070Z       warnings.warn(msg)
2025-08-26T19:47:09.9769120Z     
2025-08-26T19:47:09.9769220Z --- Parse Warning: 75 / 146 ---
2025-08-26T19:47:09.9769970Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PostLocalSGDOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9.
2025-08-26T19:47:09.9770120Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9770170Z     
2025-08-26T19:47:09.9770400Z     Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-08-26T19:47:09.9770490Z     This optimizer runs local optimizer at every step.
2025-08-26T19:47:09.9770760Z     After the warm-up stage, it averages parameters periodically after the local optimizer is applied.
2025-08-26T19:47:09.9770800Z     
2025-08-26T19:47:09.9770870Z     Args:
2025-08-26T19:47:09.9770930Z         optim: The local optimizer.
2025-08-26T19:47:09.9771060Z         averager: A model averager instance to run post-localSGD algorithm.
2025-08-26T19:47:09.9771110Z     
2025-08-26T19:47:09.9771150Z     Example::
2025-08-26T19:47:09.9771190Z     
2025-08-26T19:47:09.9771270Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:09.9771310Z         >>> import torch
2025-08-26T19:47:09.9771380Z         >>> import torch.distributed as dist
2025-08-26T19:47:09.9771540Z         >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-08-26T19:47:09.9771600Z         >>> import torch.nn as nn
2025-08-26T19:47:09.9771720Z         >>> from torch.distributed.optim import PostLocalSGDOptimizer
2025-08-26T19:47:09.9771890Z         >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-08-26T19:47:09.9771950Z         >>>   PostLocalSGDState,
2025-08-26T19:47:09.9772000Z         >>>   post_localSGD_hook,
2025-08-26T19:47:09.9772040Z         >>> )
2025-08-26T19:47:09.9772080Z         >>>
2025-08-26T19:47:09.9772180Z         >>> model = nn.parallel.DistributedDataParallel(
2025-08-26T19:47:09.9772310Z         >>>    module, device_ids=[rank], output_device=rank
2025-08-26T19:47:09.9772350Z         >>> )
2025-08-26T19:47:09.9772380Z         >>>
2025-08-26T19:47:09.9772470Z         >>> # Register a post-localSGD communication hook.
2025-08-26T19:47:09.9772650Z         >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-08-26T19:47:09.9772750Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-08-26T19:47:09.9772790Z         >>>
2025-08-26T19:47:09.9772910Z         >>> # Create a post-localSGD optimizer that wraps a local optimizer.
2025-08-26T19:47:09.9773060Z         >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as
2025-08-26T19:47:09.9773170Z         >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-08-26T19:47:09.9773300Z         >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01)
2025-08-26T19:47:09.9773370Z         >>> opt = PostLocalSGDOptimizer(
2025-08-26T19:47:09.9773430Z         >>>     optim=local_optim,
2025-08-26T19:47:09.9773580Z         >>>     averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-08-26T19:47:09.9773620Z         >>> )
2025-08-26T19:47:09.9773660Z         >>>
2025-08-26T19:47:09.9773790Z         >>> # In the first 100 steps, DDP runs global gradient averaging at every step.
2025-08-26T19:47:09.9773970Z         >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default),
2025-08-26T19:47:09.9774190Z         >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer.
2025-08-26T19:47:09.9774250Z         >>> for step in range(0, 200):
2025-08-26T19:47:09.9774310Z         >>>    opt.zero_grad()
2025-08-26T19:47:09.9774370Z         >>>    loss = loss_fn(output, labels)
2025-08-26T19:47:09.9774430Z         >>>    loss.backward()
2025-08-26T19:47:09.9774470Z         >>>    opt.step()
2025-08-26T19:47:09.9774520Z     
2025-08-26T19:47:09.9774670Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9774710Z     
2025-08-26T19:47:09.9774760Z       warnings.warn(msg)
2025-08-26T19:47:09.9774800Z     
2025-08-26T19:47:09.9774900Z --- Parse Warning: 76 / 146 ---
2025-08-26T19:47:09.9775610Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/optim/optimizer.py line=129.
2025-08-26T19:47:09.9775810Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9775860Z     
2025-08-26T19:47:09.9776000Z     DistributedOptimizer takes remote references to parameters scattered
2025-08-26T19:47:09.9776170Z     across workers and applies the given optimizer locally for each parameter.
2025-08-26T19:47:09.9776210Z     
2025-08-26T19:47:09.9776350Z     This class uses :meth:`~torch.distributed.autograd.get_gradients` in order
2025-08-26T19:47:09.9776450Z     to retrieve the gradients for specific parameters.
2025-08-26T19:47:09.9776490Z     
2025-08-26T19:47:09.9776540Z     Concurrent calls to
2025-08-26T19:47:09.9776660Z     :meth:`~torch.distributed.optim.DistributedOptimizer.step`,
2025-08-26T19:47:09.9776750Z     either from the same or different clients, will
2025-08-26T19:47:09.9776880Z     be serialized on each worker -- as each worker's optimizer can only work
2025-08-26T19:47:09.9777010Z     on one set of gradients at a time. However, there is no guarantee that
2025-08-26T19:47:09.9777160Z     the full forward-backward-optimizer sequence will execute for one client
2025-08-26T19:47:09.9777290Z     at a time. This means that the gradients being applied may not correspond
2025-08-26T19:47:09.9777420Z     to the latest forward pass executed on a given worker. Also, there is no
2025-08-26T19:47:09.9777520Z     guaranteed ordering across workers.
2025-08-26T19:47:09.9777560Z     
2025-08-26T19:47:09.9777710Z     `DistributedOptimizer` creates the local optimizer with TorchScript enabled
2025-08-26T19:47:09.9777850Z     by default, so that optimizer updates are not blocked by the Python Global
2025-08-26T19:47:09.9778000Z     Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed
2025-08-26T19:47:09.9778140Z     Model Parallel). This feature is currently enabled for most optimizers. You
2025-08-26T19:47:09.9778290Z     can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support
2025-08-26T19:47:09.9778360Z     for your own custom optimizers.
2025-08-26T19:47:09.9778390Z     
2025-08-26T19:47:09.9778440Z     Args:
2025-08-26T19:47:09.9778560Z         optimizer_class (optim.Optimizer): the class of optimizer to
2025-08-26T19:47:09.9778620Z             instantiate on each worker.
2025-08-26T19:47:09.9778750Z         params_rref (list[RRef]): list of RRefs to local or remote parameters
2025-08-26T19:47:09.9778800Z             to optimize.
2025-08-26T19:47:09.9778920Z         args: arguments to pass to the optimizer constructor on each worker.
2025-08-26T19:47:09.9779060Z         kwargs: arguments to pass to the optimizer constructor on each worker.
2025-08-26T19:47:09.9779090Z     
2025-08-26T19:47:09.9779140Z     Example::
2025-08-26T19:47:09.9779200Z         >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:09.9779310Z         >>> import torch.distributed.autograd as dist_autograd
2025-08-26T19:47:09.9779380Z         >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:09.9779440Z         >>> from torch import optim
2025-08-26T19:47:09.9779560Z         >>> from torch.distributed.optim import DistributedOptimizer
2025-08-26T19:47:09.9779600Z         >>>
2025-08-26T19:47:09.9779680Z         >>> with dist_autograd.context() as context_id:
2025-08-26T19:47:09.9779740Z         >>>   # Forward pass.
2025-08-26T19:47:09.9779860Z         >>>   rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3))
2025-08-26T19:47:09.9779980Z         >>>   rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1))
2025-08-26T19:47:09.9780060Z         >>>   loss = rref1.to_here() + rref2.to_here()
2025-08-26T19:47:09.9780100Z         >>>
2025-08-26T19:47:09.9780150Z         >>>   # Backward pass.
2025-08-26T19:47:09.9780240Z         >>>   dist_autograd.backward(context_id, [loss.sum()])
2025-08-26T19:47:09.9780280Z         >>>
2025-08-26T19:47:09.9780330Z         >>>   # Optimizer.
2025-08-26T19:47:09.9780400Z         >>>   dist_optim = DistributedOptimizer(
2025-08-26T19:47:09.9780450Z         >>>      optim.SGD,
2025-08-26T19:47:09.9780540Z         >>>      [rref1, rref2],
2025-08-26T19:47:09.9780590Z         >>>      lr=0.05,
2025-08-26T19:47:09.9780630Z         >>>   )
2025-08-26T19:47:09.9780690Z         >>>   dist_optim.step(context_id)
2025-08-26T19:47:09.9780750Z     
2025-08-26T19:47:09.9780850Z     __ https://github.com/pytorch/tutorials/pull/1465
2025-08-26T19:47:09.9780890Z     
2025-08-26T19:47:09.9781040Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9781080Z     
2025-08-26T19:47:09.9781130Z       warnings.warn(msg)
2025-08-26T19:47:09.9781170Z     
2025-08-26T19:47:09.9781260Z --- Parse Warning: 77 / 146 ---
2025-08-26T19:47:09.9782030Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284.
2025-08-26T19:47:09.9782180Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9782220Z     
2025-08-26T19:47:09.9782470Z     Wrap an arbitrary :class:`optim.Optimizer <torch.optim.Optimizer>` and shards its states across ranks in the group.
2025-08-26T19:47:09.9782530Z     
2025-08-26T19:47:09.9782680Z     The sharing is done as described by `ZeRO <https://arxiv.org/abs/1910.02054>`_.
2025-08-26T19:47:09.9782720Z     
2025-08-26T19:47:09.9782800Z     The local optimizer instance in each rank is only
2025-08-26T19:47:09.9782950Z     responsible for updating approximately ``1 / world_size`` parameters and
2025-08-26T19:47:09.9783070Z     hence only needs to keep ``1 / world_size`` optimizer states. After
2025-08-26T19:47:09.9783220Z     parameters are updated locally, each rank will broadcast its parameters to
2025-08-26T19:47:09.9783330Z     all other peers to keep all model replicas in the same state.
2025-08-26T19:47:09.9783460Z     ``ZeroRedundancyOptimizer`` can be used in conjunction with
2025-08-26T19:47:09.9783610Z     :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak
2025-08-26T19:47:09.9783670Z     memory consumption.
2025-08-26T19:47:09.9783700Z     
2025-08-26T19:47:09.9783860Z     ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number
2025-08-26T19:47:09.9784000Z     of parameters at each rank. Each parameter belongs to a single rank and is
2025-08-26T19:47:09.9784140Z     not divided among ranks. The partition is arbitrary and might not match the
2025-08-26T19:47:09.9784220Z     the parameter registration or usage order.
2025-08-26T19:47:09.9784250Z     
2025-08-26T19:47:09.9784300Z     Arguments:
2025-08-26T19:47:09.9784410Z         params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s
2025-08-26T19:47:09.9784530Z             or :class:`dict` s giving all parameters, which will be sharded
2025-08-26T19:47:09.9784580Z             across ranks.
2025-08-26T19:47:09.9784620Z     
2025-08-26T19:47:09.9784670Z     Keyword Args:
2025-08-26T19:47:09.9784800Z         optimizer_class (:class:`torch.nn.Optimizer`): the class of the local
2025-08-26T19:47:09.9784850Z             optimizer.
2025-08-26T19:47:09.9784980Z         process_group (``ProcessGroup``, optional): ``torch.distributed``
2025-08-26T19:47:09.9785100Z             ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by
2025-08-26T19:47:09.9785190Z             :meth:`torch.distributed.init_process_group`).
2025-08-26T19:47:09.9785320Z         parameters_as_bucket_view (bool, optional): if ``True``, parameters are
2025-08-26T19:47:09.9785460Z             packed into buckets to speed up communication, and ``param.data``
2025-08-26T19:47:09.9785580Z             fields point to bucket views at different offsets; if ``False``,
2025-08-26T19:47:09.9785700Z             each individual parameter is communicated separately, and each
2025-08-26T19:47:09.9785790Z             ``params.data`` stays intact (default: ``False``).
2025-08-26T19:47:09.9785940Z         overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is
2025-08-26T19:47:09.9786070Z             overlapped with :class:`DistributedDataParallel` 's gradient
2025-08-26T19:47:09.9786220Z             synchronization; this requires (1) either a functional optimizer
2025-08-26T19:47:09.9786330Z             for the ``optimizer_class`` argument or one with a functional
2025-08-26T19:47:09.9786440Z             equivalent and (2) registering a DDP communication hook
2025-08-26T19:47:09.9786560Z             constructed from one of the functions in ``ddp_zero_hook.py``;
2025-08-26T19:47:09.9786670Z             parameters are packed into buckets matching those in
2025-08-26T19:47:09.9786760Z             :class:`DistributedDataParallel`, meaning that the
2025-08-26T19:47:09.9786850Z             ``parameters_as_bucket_view`` argument is ignored.
2025-08-26T19:47:09.9786970Z             If ``False``, :meth:`step` runs disjointly after the backward pass
2025-08-26T19:47:09.9787020Z             (per normal).
2025-08-26T19:47:09.9787070Z             (default: ``False``)
2025-08-26T19:47:09.9787200Z         **defaults: any trailing arguments, which are forwarded to the local
2025-08-26T19:47:09.9787250Z             optimizer.
2025-08-26T19:47:09.9787290Z     
2025-08-26T19:47:09.9787350Z     Example::
2025-08-26T19:47:09.9787390Z     
2025-08-26T19:47:09.9787440Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9787500Z         >>> import torch.nn as nn
2025-08-26T19:47:09.9787620Z         >>> from torch.distributed.optim import ZeroRedundancyOptimizer
2025-08-26T19:47:09.9787750Z         >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-08-26T19:47:09.9787880Z         >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)])
2025-08-26T19:47:09.9787960Z         >>> ddp = DDP(model, device_ids=[rank])
2025-08-26T19:47:09.9788020Z         >>> opt = ZeroRedundancyOptimizer(
2025-08-26T19:47:09.9788080Z         >>>     ddp.parameters(),
2025-08-26T19:47:09.9788160Z         >>>     optimizer_class=torch.optim.Adam,
2025-08-26T19:47:09.9788200Z         >>>     lr=0.01
2025-08-26T19:47:09.9788240Z         >>> )
2025-08-26T19:47:09.9788300Z         >>> ddp(inputs).sum().backward()
2025-08-26T19:47:09.9788350Z         >>> opt.step()
2025-08-26T19:47:09.9788390Z     
2025-08-26T19:47:09.9788440Z     .. warning::
2025-08-26T19:47:09.9788560Z         Currently, ``ZeroRedundancyOptimizer`` requires that all of the
2025-08-26T19:47:09.9788650Z         passed-in parameters are the same dense type.
2025-08-26T19:47:09.9788690Z     
2025-08-26T19:47:09.9788730Z     .. warning::
2025-08-26T19:47:09.9788860Z         If you pass ``overlap_with_ddp=True``, be wary of the following: Given
2025-08-26T19:47:09.9788990Z         the way that overlapping :class:`DistributedDataParallel` with
2025-08-26T19:47:09.9789130Z         :class:`ZeroRedundancyOptimizer` is currently implemented, the first
2025-08-26T19:47:09.9789260Z         two or three training iterations do not perform parameter updates in
2025-08-26T19:47:09.9789380Z         the optimizer step, depending on if ``static_graph=False`` or
2025-08-26T19:47:09.9789490Z         ``static_graph=True``, respectively. This is because it needs
2025-08-26T19:47:09.9789600Z         information about the gradient bucketing strategy used by
2025-08-26T19:47:09.9789740Z         :class:`DistributedDataParallel`, which is not finalized until the
2025-08-26T19:47:09.9789850Z         second forward pass if ``static_graph=False`` or until the third
2025-08-26T19:47:09.9789980Z         forward pass if ``static_graph=True``. To adjust for this, one option
2025-08-26T19:47:09.9790040Z         is to prepend dummy inputs.
2025-08-26T19:47:09.9790080Z     
2025-08-26T19:47:09.9790230Z     .. warning:: ZeroRedundancyOptimizer is experimental and subject to change.
2025-08-26T19:47:09.9790270Z     
2025-08-26T19:47:09.9790420Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9790460Z     
2025-08-26T19:47:09.9790570Z       warnings.warn(msg)
2025-08-26T19:47:09.9790610Z     
2025-08-26T19:47:09.9790710Z --- Parse Warning: 78 / 146 ---
2025-08-26T19:47:09.9791560Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=634.
2025-08-26T19:47:09.9791720Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9791880Z     Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-08-26T19:47:09.9791920Z     
2025-08-26T19:47:09.9792080Z             Also takes (optional) configuration for the model's and optimizer's state dict.
2025-08-26T19:47:09.9792210Z             The target module does not have to be a FSDP module. If the target
2025-08-26T19:47:09.9792340Z             module is a FSDP module, its ``state_dict_type`` will also be changed.
2025-08-26T19:47:09.9792380Z     
2025-08-26T19:47:09.9792500Z             .. note:: This API should be called for only the top-level (root)
2025-08-26T19:47:09.9792540Z                 module.
2025-08-26T19:47:09.9792620Z     
2025-08-26T19:47:09.9792750Z             .. note:: This API enables users to transparently use the conventional
2025-08-26T19:47:09.9792870Z                 ``state_dict`` API to take model checkpoints in cases where the
2025-08-26T19:47:09.9793000Z                 root FSDP module is wrapped by another ``nn.Module``. For example,
2025-08-26T19:47:09.9793120Z                 the following will ensure ``state_dict`` is called on all non-FSDP
2025-08-26T19:47:09.9793260Z                 instances, while dispatching into `sharded_state_dict` implementation
2025-08-26T19:47:09.9793310Z                 for FSDP:
2025-08-26T19:47:09.9793350Z     
2025-08-26T19:47:09.9793400Z             Example::
2025-08-26T19:47:09.9793440Z     
2025-08-26T19:47:09.9793520Z                 >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:09.9793590Z                 >>> model = DDP(FSDP(...))
2025-08-26T19:47:09.9793660Z                 >>> FSDP.set_state_dict_type(
2025-08-26T19:47:09.9793710Z                 >>>     model,
2025-08-26T19:47:09.9793790Z                 >>>     StateDictType.SHARDED_STATE_DICT,
2025-08-26T19:47:09.9793920Z                 >>>     state_dict_config = ShardedStateDictConfig(offload_to_cpu=True),
2025-08-26T19:47:09.9794060Z                 >>>     optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True),
2025-08-26T19:47:09.9794100Z                 >>> )
2025-08-26T19:47:09.9794180Z                 >>> param_state_dict = model.state_dict()
2025-08-26T19:47:09.9794280Z                 >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-08-26T19:47:09.9794330Z     
2025-08-26T19:47:09.9794370Z             Args:
2025-08-26T19:47:09.9794450Z                 module (torch.nn.Module): Root module.
2025-08-26T19:47:09.9794590Z                 state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-08-26T19:47:09.9794740Z                 state_dict_config (Optional[StateDictConfig]): the configuration for the
2025-08-26T19:47:09.9794810Z                     target ``state_dict_type``.
2025-08-26T19:47:09.9794970Z                 optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration
2025-08-26T19:47:09.9795030Z                     for the optimizer state dict.
2025-08-26T19:47:09.9795080Z     
2025-08-26T19:47:09.9795120Z             Returns:
2025-08-26T19:47:09.9795250Z                 A StateDictSettings that include the previous state_dict type and
2025-08-26T19:47:09.9795320Z                 configuration for the module.
2025-08-26T19:47:09.9795360Z             
2025-08-26T19:47:09.9795520Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9795600Z     
2025-08-26T19:47:09.9795660Z       warnings.warn(msg)
2025-08-26T19:47:09.9795700Z     
2025-08-26T19:47:09.9795810Z --- Parse Warning: 79 / 146 ---
2025-08-26T19:47:09.9796640Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=792.
2025-08-26T19:47:09.9796800Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9796950Z     Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-08-26T19:47:09.9800210Z     
2025-08-26T19:47:09.9800430Z             This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of
2025-08-26T19:47:09.9800520Z             :meth:`set_state_dict_type` for the detail.
2025-08-26T19:47:09.9800560Z     
2025-08-26T19:47:09.9800610Z             Example::
2025-08-26T19:47:09.9800650Z     
2025-08-26T19:47:09.9800730Z                 >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:09.9800790Z                 >>> model = DDP(FSDP(...))
2025-08-26T19:47:09.9800920Z                 >>> with FSDP.state_dict_type(
2025-08-26T19:47:09.9800980Z                 >>>     model,
2025-08-26T19:47:09.9801050Z                 >>>     StateDictType.SHARDED_STATE_DICT,
2025-08-26T19:47:09.9801100Z                 >>> ):
2025-08-26T19:47:09.9801170Z                 >>>     checkpoint = model.state_dict()
2025-08-26T19:47:09.9801210Z     
2025-08-26T19:47:09.9801260Z             Args:
2025-08-26T19:47:09.9801330Z                 module (torch.nn.Module): Root module.
2025-08-26T19:47:09.9801480Z                 state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-08-26T19:47:09.9801620Z                 state_dict_config (Optional[StateDictConfig]): the model ``state_dict``
2025-08-26T19:47:09.9801730Z                     configuration for the target ``state_dict_type``.
2025-08-26T19:47:09.9801870Z                 optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer
2025-08-26T19:47:09.9801990Z                    ``state_dict`` configuration for the target ``state_dict_type``.
2025-08-26T19:47:09.9802030Z             
2025-08-26T19:47:09.9802190Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9802230Z     
2025-08-26T19:47:09.9802280Z       warnings.warn(msg)
2025-08-26T19:47:09.9802320Z     
2025-08-26T19:47:09.9802440Z --- Parse Warning: 80 / 146 ---
2025-08-26T19:47:09.9803260Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1805.
2025-08-26T19:47:09.9803420Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9803460Z     
2025-08-26T19:47:09.9803600Z     Transform the state-dict of an optimizer corresponding to a sharded model.
2025-08-26T19:47:09.9803640Z     
2025-08-26T19:47:09.9803760Z     The given state-dict can be transformed to one of three types:
2025-08-26T19:47:09.9803940Z     1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict.
2025-08-26T19:47:09.9803980Z     
2025-08-26T19:47:09.9804120Z     For full optimizer state_dict, all states are unflattened and not sharded.
2025-08-26T19:47:09.9804250Z     Rank0 only and CPU only can be specified via :meth:`state_dict_type` to
2025-08-26T19:47:09.9804290Z     avoid OOM.
2025-08-26T19:47:09.9804330Z     
2025-08-26T19:47:09.9804470Z     For sharded optimizer state_dict, all states are unflattened but sharded.
2025-08-26T19:47:09.9804640Z     CPU only can be specified via :meth:`state_dict_type` to further save
2025-08-26T19:47:09.9804690Z     memory.
2025-08-26T19:47:09.9804730Z     
2025-08-26T19:47:09.9804900Z     For local state_dict, no transformation will be performed. But a state
2025-08-26T19:47:09.9805040Z     will be converted from nn.Tensor to ShardedTensor to represent its sharding
2025-08-26T19:47:09.9805100Z     nature (this is not supported yet).
2025-08-26T19:47:09.9805140Z     
2025-08-26T19:47:09.9805180Z     Example::
2025-08-26T19:47:09.9805230Z     
2025-08-26T19:47:09.9805300Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:09.9805450Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-26T19:47:09.9805550Z         >>> from torch.distributed.fsdp import StateDictType
2025-08-26T19:47:09.9805660Z         >>> from torch.distributed.fsdp import FullStateDictConfig
2025-08-26T19:47:09.9805780Z         >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-08-26T19:47:09.9805840Z         >>> # Save a checkpoint
2025-08-26T19:47:09.9805890Z         >>> model, optim = ...
2025-08-26T19:47:09.9805950Z         >>> FSDP.set_state_dict_type(
2025-08-26T19:47:09.9805990Z         >>>     model,
2025-08-26T19:47:09.9806060Z         >>>     StateDictType.FULL_STATE_DICT,
2025-08-26T19:47:09.9806170Z         >>>     FullStateDictConfig(rank0_only=False),
2025-08-26T19:47:09.9806260Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-26T19:47:09.9806300Z         >>> )
2025-08-26T19:47:09.9806360Z         >>> state_dict = model.state_dict()
2025-08-26T19:47:09.9806470Z         >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-08-26T19:47:09.9806550Z         >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-08-26T19:47:09.9806610Z         >>> # Load a checkpoint
2025-08-26T19:47:09.9806660Z         >>> model, optim = ...
2025-08-26T19:47:09.9806760Z         >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-08-26T19:47:09.9806820Z         >>> FSDP.set_state_dict_type(
2025-08-26T19:47:09.9806860Z         >>>     model,
2025-08-26T19:47:09.9806930Z         >>>     StateDictType.FULL_STATE_DICT,
2025-08-26T19:47:09.9807010Z         >>>     FullStateDictConfig(rank0_only=False),
2025-08-26T19:47:09.9807100Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-26T19:47:09.9807140Z         >>> )
2025-08-26T19:47:09.9807210Z         >>> model.load_state_dict(state_dict)
2025-08-26T19:47:09.9807300Z         >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-08-26T19:47:09.9807380Z         >>>     model, optim, optim_state_dict
2025-08-26T19:47:09.9807410Z         >>> )
2025-08-26T19:47:09.9807500Z         >>> optim.load_state_dict(optim_state_dict)
2025-08-26T19:47:09.9807530Z     
2025-08-26T19:47:09.9807580Z     Args:
2025-08-26T19:47:09.9807700Z         model (torch.nn.Module): Root module (which may or may not be a
2025-08-26T19:47:09.9807820Z             :class:`FullyShardedDataParallel` instance) whose parameters
2025-08-26T19:47:09.9807900Z             were passed into the optimizer ``optim``.
2025-08-26T19:47:09.9808020Z         optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-08-26T19:47:09.9808070Z             parameters.
2025-08-26T19:47:09.9808210Z         optim_state_dict (Dict[str, Any]): the target optimizer state_dict to
2025-08-26T19:47:09.9808340Z             transform. If the value is None, optim.state_dict() will be used. (
2025-08-26T19:47:09.9808390Z             Default: ``None``)
2025-08-26T19:47:09.9808530Z         group (dist.ProcessGroup): Model's process group across which parameters
2025-08-26T19:47:09.9808640Z             are sharded or ``None`` if using the default process group. (
2025-08-26T19:47:09.9808700Z             Default: ``None``)
2025-08-26T19:47:09.9808740Z     
2025-08-26T19:47:09.9808780Z     Returns:
2025-08-26T19:47:09.9808890Z         Dict[str, Any]: A :class:`dict` containing the optimizer state for
2025-08-26T19:47:09.9809040Z         ``model``. The sharding of the optimizer state is based on
2025-08-26T19:47:09.9809090Z         ``state_dict_type``.
2025-08-26T19:47:09.9809140Z     
2025-08-26T19:47:09.9809290Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9809350Z     
2025-08-26T19:47:09.9809400Z       warnings.warn(msg)
2025-08-26T19:47:09.9809440Z     
2025-08-26T19:47:09.9809540Z --- Parse Warning: 81 / 146 ---
2025-08-26T19:47:09.9810360Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1903.
2025-08-26T19:47:09.9810520Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9810560Z     
2025-08-26T19:47:09.9810770Z     Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model.
2025-08-26T19:47:09.9810810Z     
2025-08-26T19:47:09.9810920Z     Given a ``optim_state_dict`` that is transformed through
2025-08-26T19:47:09.9811050Z     :meth:`optim_state_dict`, it gets converted to the flattened optimizer
2025-08-26T19:47:09.9811210Z     state_dict that can be loaded to ``optim`` which is the optimizer for
2025-08-26T19:47:09.9811320Z     ``model``. ``model`` must be sharded by FullyShardedDataParallel.
2025-08-26T19:47:09.9811370Z     
2025-08-26T19:47:09.9811440Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:09.9811590Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-26T19:47:09.9811680Z         >>> from torch.distributed.fsdp import StateDictType
2025-08-26T19:47:09.9811790Z         >>> from torch.distributed.fsdp import FullStateDictConfig
2025-08-26T19:47:09.9811910Z         >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-08-26T19:47:09.9811970Z         >>> # Save a checkpoint
2025-08-26T19:47:09.9812020Z         >>> model, optim = ...
2025-08-26T19:47:09.9812080Z         >>> FSDP.set_state_dict_type(
2025-08-26T19:47:09.9812120Z         >>>     model,
2025-08-26T19:47:09.9812190Z         >>>     StateDictType.FULL_STATE_DICT,
2025-08-26T19:47:09.9812280Z         >>>     FullStateDictConfig(rank0_only=False),
2025-08-26T19:47:09.9812360Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-26T19:47:09.9812400Z         >>> )
2025-08-26T19:47:09.9812470Z         >>> state_dict = model.state_dict()
2025-08-26T19:47:09.9812530Z         >>> original_osd = optim.state_dict()
2025-08-26T19:47:09.9812610Z         >>> optim_state_dict = FSDP.optim_state_dict(
2025-08-26T19:47:09.9812650Z         >>>     model,
2025-08-26T19:47:09.9812690Z         >>>     optim,
2025-08-26T19:47:09.9812760Z         >>>     optim_state_dict=original_osd
2025-08-26T19:47:09.9812800Z         >>> )
2025-08-26T19:47:09.9812890Z         >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-08-26T19:47:09.9812940Z         >>> # Load a checkpoint
2025-08-26T19:47:09.9812990Z         >>> model, optim = ...
2025-08-26T19:47:09.9813080Z         >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-08-26T19:47:09.9813140Z         >>> FSDP.set_state_dict_type(
2025-08-26T19:47:09.9813190Z         >>>     model,
2025-08-26T19:47:09.9813250Z         >>>     StateDictType.FULL_STATE_DICT,
2025-08-26T19:47:09.9813330Z         >>>     FullStateDictConfig(rank0_only=False),
2025-08-26T19:47:09.9813420Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-26T19:47:09.9813460Z         >>> )
2025-08-26T19:47:09.9813520Z         >>> model.load_state_dict(state_dict)
2025-08-26T19:47:09.9813610Z         >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-08-26T19:47:09.9813680Z         >>>     model, optim, optim_state_dict
2025-08-26T19:47:09.9813720Z         >>> )
2025-08-26T19:47:09.9813850Z         >>> optim.load_state_dict(optim_state_dict)
2025-08-26T19:47:09.9813890Z     
2025-08-26T19:47:09.9813940Z     Args:
2025-08-26T19:47:09.9814060Z         model (torch.nn.Module): Root module (which may or may not be a
2025-08-26T19:47:09.9814210Z             :class:`FullyShardedDataParallel` instance) whose parameters
2025-08-26T19:47:09.9814290Z             were passed into the optimizer ``optim``.
2025-08-26T19:47:09.9814410Z         optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-08-26T19:47:09.9814450Z             parameters.
2025-08-26T19:47:09.9814580Z         optim_state_dict (Dict[str, Any]): The optimizer states to be loaded.
2025-08-26T19:47:09.9814710Z         is_named_optimizer (bool): Is this optimizer a NamedOptimizer or
2025-08-26T19:47:09.9814820Z             KeyedOptimizer. Only set to True if ``optim`` is TorchRec's
2025-08-26T19:47:09.9814930Z             KeyedOptimizer or torch.distributed's NamedOptimizer.
2025-08-26T19:47:09.9815050Z         load_directly (bool): If this is set to True, this API will also
2025-08-26T19:47:09.9815170Z             call optim.load_state_dict(result) before returning the result.
2025-08-26T19:47:09.9815310Z             Otherwise, users are responsible to call ``optim.load_state_dict()``
2025-08-26T19:47:09.9815370Z             (Default: ``False``)
2025-08-26T19:47:09.9815550Z         group (dist.ProcessGroup): Model's process group across which parameters
2025-08-26T19:47:09.9815660Z             are sharded or ``None`` if using the default process group. (
2025-08-26T19:47:09.9815710Z             Default: ``None``)
2025-08-26T19:47:09.9815750Z     
2025-08-26T19:47:09.9815900Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9815940Z     
2025-08-26T19:47:09.9815990Z       warnings.warn(msg)
2025-08-26T19:47:09.9816030Z     
2025-08-26T19:47:09.9816130Z --- Parse Warning: 82 / 146 ---
2025-08-26T19:47:09.9816800Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixedPrecision in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=114.
2025-08-26T19:47:09.9816960Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9817000Z     
2025-08-26T19:47:09.9817090Z     This configures FSDP-native mixed precision training.
2025-08-26T19:47:09.9817130Z     
2025-08-26T19:47:09.9817180Z     Attributes:
2025-08-26T19:47:09.9817320Z         param_dtype (Optional[torch.dtype]): This specifies the dtype for model
2025-08-26T19:47:09.9817440Z             parameters during forward and backward and thus the dtype for
2025-08-26T19:47:09.9817570Z             forward and backward computation. Outside forward and backward, the
2025-08-26T19:47:09.9817690Z             *sharded* parameters are kept in full precision (e.g. for the
2025-08-26T19:47:09.9817820Z             optimizer step), and for model checkpointing, the parameters are
2025-08-26T19:47:09.9817910Z             always saved in full precision. (Default: ``None``)
2025-08-26T19:47:09.9818040Z         reduce_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-08-26T19:47:09.9818170Z             gradient reduction (i.e. reduce-scatter or all-reduce). If this is
2025-08-26T19:47:09.9818280Z             ``None`` but ``param_dtype`` is not ``None``, then this takes on
2025-08-26T19:47:09.9818400Z             the ``param_dtype`` value, still running gradient reduction in low
2025-08-26T19:47:09.9818530Z             precision. This is permitted to differ from ``param_dtype``, e.g.
2025-08-26T19:47:09.9818650Z             to force gradient reduction to run in full precision. (Default:
2025-08-26T19:47:09.9818690Z             ``None``)
2025-08-26T19:47:09.9818820Z         buffer_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-08-26T19:47:09.9818990Z             buffers. FSDP does not shard buffers. Rather, FSDP casts them to
2025-08-26T19:47:09.9819120Z             ``buffer_dtype`` in the first forward pass and keeps them in that
2025-08-26T19:47:09.9819240Z             dtype thereafter. For model checkpointing, the buffers are saved
2025-08-26T19:47:09.9819380Z             in full precision except for ``LOCAL_STATE_DICT``. (Default:
2025-08-26T19:47:09.9819430Z             ``None``)
2025-08-26T19:47:09.9819550Z         keep_low_precision_grads (bool): If ``False``, then FSDP upcasts
2025-08-26T19:47:09.9819680Z             gradients to full precision after the backward pass in preparation
2025-08-26T19:47:09.9819800Z             for the optimizer step. If ``True``, then FSDP keeps the gradients
2025-08-26T19:47:09.9819920Z             in the dtype used for gradient reduction, which can save memory if
2025-08-26T19:47:09.9820040Z             using a custom optimizer that supports running in low precision.
2025-08-26T19:47:09.9820100Z             (Default: ``False``)
2025-08-26T19:47:09.9820230Z         cast_forward_inputs (bool): If ``True``, then this FSDP module casts
2025-08-26T19:47:09.9820350Z             its forward args and kwargs to ``param_dtype``. This is to ensure
2025-08-26T19:47:09.9820480Z             that parameter and input dtypes match for forward computation, as
2025-08-26T19:47:09.9820600Z             required by many ops. This may need to be set to ``True`` when only
2025-08-26T19:47:09.9820760Z             applying mixed precision to some but not all FSDP modules, in which
2025-08-26T19:47:09.9820890Z             case a mixed-precision FSDP submodule needs to recast its inputs.
2025-08-26T19:47:09.9820940Z             (Default: ``False``)
2025-08-26T19:47:09.9821080Z         cast_root_forward_inputs (bool): If ``True``, then the root FSDP module
2025-08-26T19:47:09.9821200Z             casts its forward args and kwargs to ``param_dtype``, overriding
2025-08-26T19:47:09.9821310Z             the value of ``cast_forward_inputs``. For non-root FSDP modules,
2025-08-26T19:47:09.9821400Z             this does not do anything. (Default: ``True``)
2025-08-26T19:47:09.9821530Z         _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies
2025-08-26T19:47:09.9821640Z             module classes to ignore for mixed precision when using an
2025-08-26T19:47:09.9821760Z             ``auto_wrap_policy``: Modules of these classes will have FSDP
2025-08-26T19:47:09.9821890Z             applied to them separately with mixed precision disabled (meaning
2025-08-26T19:47:09.9822010Z             that the final FSDP construction would deviate from the specified
2025-08-26T19:47:09.9822130Z             policy). If ``auto_wrap_policy`` is not specified, then this does
2025-08-26T19:47:09.9822250Z             not do anything. This API is experimental and subject to change.
2025-08-26T19:47:09.9822310Z             (Default: ``(_BatchNorm,)``)
2025-08-26T19:47:09.9822350Z     
2025-08-26T19:47:09.9822460Z     .. note:: This API is experimental and subject to change.
2025-08-26T19:47:09.9822500Z     
2025-08-26T19:47:09.9822630Z     .. note:: Only floating point tensors are cast to their specified dtypes.
2025-08-26T19:47:09.9822670Z     
2025-08-26T19:47:09.9822780Z     .. note:: In ``summon_full_params``, parameters are forced to full
2025-08-26T19:47:09.9822840Z         precision, but buffers are not.
2025-08-26T19:47:09.9822880Z     
2025-08-26T19:47:09.9823000Z     .. note:: Layer norm and batch norm accumulate in ``float32`` even when
2025-08-26T19:47:09.9823130Z         their inputs are in a low precision like ``float16`` or ``bfloat16``.
2025-08-26T19:47:09.9823270Z         Disabling FSDP's mixed precision for those norm modules only means that
2025-08-26T19:47:09.9823400Z         the affine parameters are kept in ``float32``. However, this incurs
2025-08-26T19:47:09.9823540Z         separate all-gathers and reduce-scatters for those norm modules, which
2025-08-26T19:47:09.9823670Z         may be inefficient, so if the workload permits, the user should prefer
2025-08-26T19:47:09.9823800Z         to still apply mixed precision to those modules.
2025-08-26T19:47:09.9823840Z     
2025-08-26T19:47:09.9823970Z     .. note:: By default, if the user passes a model with any ``_BatchNorm``
2025-08-26T19:47:09.9824120Z         modules and specifies an ``auto_wrap_policy``, then the batch norm
2025-08-26T19:47:09.9824250Z         modules will have FSDP applied to them separately with mixed precision
2025-08-26T19:47:09.9824360Z         disabled. See the ``_module_classes_to_ignore`` argument.
2025-08-26T19:47:09.9824400Z     
2025-08-26T19:47:09.9824530Z     .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and
2025-08-26T19:47:09.9824650Z         ``cast_forward_inputs=False`` by default. For the root FSDP instance,
2025-08-26T19:47:09.9824760Z         its ``cast_root_forward_inputs`` takes precedence over its
2025-08-26T19:47:09.9824870Z         ``cast_forward_inputs``. For non-root FSDP instances, their
2025-08-26T19:47:09.9825000Z         ``cast_root_forward_inputs`` values are ignored. The default setting is
2025-08-26T19:47:09.9825130Z         sufficient for the typical case where each FSDP instance has the same
2025-08-26T19:47:09.9825260Z         ``MixedPrecision`` configuration and only needs to cast inputs to the
2025-08-26T19:47:09.9825380Z         ``param_dtype`` at the beginning of the model's forward pass.
2025-08-26T19:47:09.9825440Z     
2025-08-26T19:47:09.9825570Z     .. note:: For nested FSDP instances with different ``MixedPrecision``
2025-08-26T19:47:09.9825710Z         configurations, we recommend setting individual ``cast_forward_inputs``
2025-08-26T19:47:09.9825840Z         values to configure casting inputs or not before each instance's
2025-08-26T19:47:09.9825950Z         forward. In such a case, since the casts happen before each FSDP
2025-08-26T19:47:09.9826080Z         instance's forward, a parent FSDP instance should have its non-FSDP
2025-08-26T19:47:09.9826220Z         submodules run before its FSDP submodules to avoid the activation dtype
2025-08-26T19:47:09.9826350Z         being changed due to a different ``MixedPrecision`` configuration.
2025-08-26T19:47:09.9826390Z     
2025-08-26T19:47:09.9826440Z         Example::
2025-08-26T19:47:09.9826480Z     
2025-08-26T19:47:09.9826560Z             >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:09.9826660Z             >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3))
2025-08-26T19:47:09.9826720Z             >>> model[1] = FSDP(
2025-08-26T19:47:09.9826770Z             >>>     model[1],
2025-08-26T19:47:09.9826960Z             >>>     mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True),
2025-08-26T19:47:09.9827000Z             >>> )
2025-08-26T19:47:09.9827050Z             >>> model = FSDP(
2025-08-26T19:47:09.9827100Z             >>>     model,
2025-08-26T19:47:09.9827280Z             >>>     mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True),
2025-08-26T19:47:09.9827330Z             >>> )
2025-08-26T19:47:09.9827370Z     
2025-08-26T19:47:09.9827500Z         The above shows a working example. On the other hand, if ``model[1]``
2025-08-26T19:47:09.9827620Z         were replaced with ``model[0]``, meaning that the submodule using
2025-08-26T19:47:09.9827760Z         different ``MixedPrecision`` ran its forward first, then ``model[1]``
2025-08-26T19:47:09.9827890Z         would incorrectly see ``float16`` activations instead of ``bfloat16``
2025-08-26T19:47:09.9827930Z         ones.
2025-08-26T19:47:09.9827970Z     
2025-08-26T19:47:09.9828010Z     
2025-08-26T19:47:09.9828160Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9828200Z     
2025-08-26T19:47:09.9828250Z       warnings.warn(msg)
2025-08-26T19:47:09.9828290Z     
2025-08-26T19:47:09.9828390Z --- Parse Warning: 83 / 146 ---
2025-08-26T19:47:09.9829130Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=295.
2025-08-26T19:47:09.9829290Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9829350Z     
2025-08-26T19:47:09.9829470Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-08-26T19:47:09.9829590Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-08-26T19:47:09.9829710Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-08-26T19:47:09.9829840Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-08-26T19:47:09.9829960Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-08-26T19:47:09.9830000Z     follows:
2025-08-26T19:47:09.9830040Z     
2025-08-26T19:47:09.9830120Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:09.9830270Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-26T19:47:09.9830350Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-08-26T19:47:09.9830470Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-08-26T19:47:09.9830610Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-08-26T19:47:09.9830700Z         >>>     state = fsdp.state_dict()
2025-08-26T19:47:09.9830830Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-08-26T19:47:09.9830970Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-08-26T19:47:09.9831120Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-08-26T19:47:09.9831170Z         >>> if dist.get_rank() == 0:
2025-08-26T19:47:09.9831280Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-08-26T19:47:09.9831370Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-08-26T19:47:09.9831440Z         >>>     model.load_state_dict(state_dict)
2025-08-26T19:47:09.9831580Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-08-26T19:47:09.9831730Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-08-26T19:47:09.9831780Z         >>> fsdp = FSDP(
2025-08-26T19:47:09.9831820Z         ...     model,
2025-08-26T19:47:09.9831900Z         ...     device_id=torch.cuda.current_device(),
2025-08-26T19:47:09.9831960Z         ...     auto_wrap_policy=...,
2025-08-26T19:47:09.9832020Z         ...     sync_module_states=True,
2025-08-26T19:47:09.9832060Z         ... )
2025-08-26T19:47:09.9832190Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-08-26T19:47:09.9832220Z     
2025-08-26T19:47:09.9832270Z     Attributes:
2025-08-26T19:47:09.9832390Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-08-26T19:47:09.9832510Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-08-26T19:47:09.9832610Z             ranks save the full state dict. (Default: ``False``)
2025-08-26T19:47:09.9832650Z     
2025-08-26T19:47:09.9832800Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9832840Z     
2025-08-26T19:47:09.9832890Z       warnings.warn(msg)
2025-08-26T19:47:09.9832930Z     
2025-08-26T19:47:09.9833030Z --- Parse Warning: 84 / 146 ---
2025-08-26T19:47:09.9833770Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=init_from_local_shards in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361.
2025-08-26T19:47:09.9833920Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9833970Z     
2025-08-26T19:47:09.9834180Z     Creates an :class:`ShardedTensor` from local shards and the global metadata.
2025-08-26T19:47:09.9834270Z     Needs to be called on all ranks in an SPMD fashion.
2025-08-26T19:47:09.9834310Z     
2025-08-26T19:47:09.9834380Z     Args:
2025-08-26T19:47:09.9834560Z         local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list
2025-08-26T19:47:09.9834660Z             of shards that represent the local shards on this rank.
2025-08-26T19:47:09.9834800Z         global_size (int...):  a list, tuple, or `torch.Size` of integers defining the
2025-08-26T19:47:09.9834870Z             shape of the overall sharded tensor.
2025-08-26T19:47:09.9834910Z     
2025-08-26T19:47:09.9834960Z     Keyword args:
2025-08-26T19:47:09.9835110Z         process_group (ProcessGroup, optional): The process group to work on. If None,
2025-08-26T19:47:09.9835190Z             the default process group will be used.
2025-08-26T19:47:09.9835290Z         init_rrefs (bool, optional): Whether or not to initialize
2025-08-26T19:47:09.9835420Z             :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-08-26T19:47:09.9835540Z             Need to initialize the RPC Framework if specified as ``True``.
2025-08-26T19:47:09.9835590Z             Default: ``False``.
2025-08-26T19:47:09.9835630Z     
2025-08-26T19:47:09.9835680Z     Returns:
2025-08-26T19:47:09.9835810Z         A :class:`ShardedTensor` object handle on this rank
2025-08-26T19:47:09.9835850Z     
2025-08-26T19:47:09.9835890Z     
2025-08-26T19:47:09.9835930Z     Examples:
2025-08-26T19:47:09.9836080Z         Suppose we want construct a sharded tensor on two ranks, global size = (10, 5),
2025-08-26T19:47:09.9836200Z         each shard have a (5, 5) local tensor, we can do it like below:
2025-08-26T19:47:09.9836240Z     
2025-08-26T19:47:09.9836290Z         on rank 0:
2025-08-26T19:47:09.9836360Z         >>> # xdoctest: +SKIP("not distributed")
2025-08-26T19:47:09.9836430Z         >>> local_shard_metadata = ShardMetadata(
2025-08-26T19:47:09.9836490Z         >>>     shard_offsets=[0, 0],
2025-08-26T19:47:09.9836550Z         >>>     shard_lengths=[5, 5],
2025-08-26T19:47:09.9836610Z         >>>     placement="rank:0/cuda:0"
2025-08-26T19:47:09.9836650Z         >>> )
2025-08-26T19:47:09.9836770Z         >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-08-26T19:47:09.9836890Z         >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-08-26T19:47:09.9836930Z     
2025-08-26T19:47:09.9836970Z         on rank 1:
2025-08-26T19:47:09.9837040Z         >>> # xdoctest: +SKIP("not distributed")
2025-08-26T19:47:09.9837110Z         >>> local_shard_metadata = ShardMetadata(
2025-08-26T19:47:09.9837170Z         >>>     shard_offsets=[5, 0],
2025-08-26T19:47:09.9837230Z         >>>     shard_lengths=[5, 5],
2025-08-26T19:47:09.9837290Z         >>>     placement="rank:1/cuda:1"
2025-08-26T19:47:09.9837330Z         >>> )
2025-08-26T19:47:09.9837440Z         >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-08-26T19:47:09.9837560Z         >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-08-26T19:47:09.9837610Z     
2025-08-26T19:47:09.9837760Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9837800Z     
2025-08-26T19:47:09.9837850Z       warnings.warn(msg)
2025-08-26T19:47:09.9837890Z     
2025-08-26T19:47:09.9837990Z --- Parse Warning: 85 / 146 ---
2025-08-26T19:47:09.9838750Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835.
2025-08-26T19:47:09.9838900Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9838940Z     
2025-08-26T19:47:09.9839140Z     Initialize a ShardedTensor given only one local tensor, global sharded tensor
2025-08-26T19:47:09.9839210Z     size and sharding spec on each rank.
2025-08-26T19:47:09.9839250Z     
2025-08-26T19:47:09.9839290Z     Args:
2025-08-26T19:47:09.9839450Z         local_tensor (Tensor): Single tensor of local shard stored in each rank.
2025-08-26T19:47:09.9839610Z         sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`):
2025-08-26T19:47:09.9839720Z             The specification describing how to shard the Tensor.
2025-08-26T19:47:09.9839820Z         global_size (Sequence[int]): Size of the sharded tensor.
2025-08-26T19:47:09.9839970Z         process_group (ProcessGroup, optional): The process group to aggregate on.
2025-08-26T19:47:09.9840020Z             Default: None
2025-08-26T19:47:09.9840120Z         init_rrefs (bool, optional): Whether or not to initialize
2025-08-26T19:47:09.9840250Z             :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-08-26T19:47:09.9840360Z             Need to initialize the RPC Framework if specified as ``True``.
2025-08-26T19:47:09.9840420Z             Default: ``False``.
2025-08-26T19:47:09.9840460Z     
2025-08-26T19:47:09.9840500Z     Returns:
2025-08-26T19:47:09.9840640Z         A :class:`ShardedTensor` sharded based on the given sharding_spec with local
2025-08-26T19:47:09.9840720Z             tensor stored in the current rank.
2025-08-26T19:47:09.9840790Z     
2025-08-26T19:47:09.9840830Z     Examples:
2025-08-26T19:47:09.9840880Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9840960Z         >>> # All tensors below are of torch.int64 type.
2025-08-26T19:47:09.9841030Z         >>> # We have 2 process groups, 2 ranks.
2025-08-26T19:47:09.9841140Z         >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank
2025-08-26T19:47:09.9841260Z         >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2]))
2025-08-26T19:47:09.9841310Z         >>> local_tensor
2025-08-26T19:47:09.9841360Z         tensor([[1, 2, 3, 4]]) # Rank 0
2025-08-26T19:47:09.9841420Z         tensor([[3, 4, 5, 6]]) # Rank 1
2025-08-26T19:47:09.9841470Z         >>> sharding_dim = 0
2025-08-26T19:47:09.9841540Z         >>> sharding_spec = ChunkShardingSpec(
2025-08-26T19:47:09.9841600Z                 dim=sharding_dim,
2025-08-26T19:47:09.9841650Z                 placements=[
2025-08-26T19:47:09.9841710Z                     "rank:0/cuda:0",
2025-08-26T19:47:09.9841760Z                     "rank:1/cuda:1",
2025-08-26T19:47:09.9841800Z                 ],
2025-08-26T19:47:09.9841840Z             )
2025-08-26T19:47:09.9841920Z         >>> st = ShardedTensor._init_from_local_tensor(
2025-08-26T19:47:09.9841990Z         ...     local_tensor, sharding_spec, [2, 4]
2025-08-26T19:47:09.9842030Z         ... )
2025-08-26T19:47:09.9842080Z         >>> st
2025-08-26T19:47:09.9842120Z         ShardedTensor(
2025-08-26T19:47:09.9842180Z             ShardedTensorMetadata(
2025-08-26T19:47:09.9842240Z                 shards_metadata=[
2025-08-26T19:47:09.9842400Z                     ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0),
2025-08-26T19:47:09.9842560Z                     ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1),
2025-08-26T19:47:09.9842610Z                 ],
2025-08-26T19:47:09.9842660Z                 size=torch.Size([2, 4])
2025-08-26T19:47:09.9842700Z         )
2025-08-26T19:47:09.9842750Z         >>> st.local_tensor()
2025-08-26T19:47:09.9842810Z         tensor([1, 2, 3, 4]) # Rank 0
2025-08-26T19:47:09.9842860Z         tensor([3, 4, 5, 6]) # Rank 1
2025-08-26T19:47:09.9842900Z     
2025-08-26T19:47:09.9843060Z     Warning: This API is experimental and subject to change. It lacks of a fully across
2025-08-26T19:47:09.9843210Z              rank validations, and we only validate the local shard on the current rank.
2025-08-26T19:47:09.9843340Z              We fully rely on the user to ensure local tensor is sharded based on the
2025-08-26T19:47:09.9843390Z              sharding spec.
2025-08-26T19:47:09.9843430Z     
2025-08-26T19:47:09.9843630Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9843670Z     
2025-08-26T19:47:09.9843730Z       warnings.warn(msg)
2025-08-26T19:47:09.9843790Z     
2025-08-26T19:47:09.9843890Z --- Parse Warning: 86 / 146 ---
2025-08-26T19:47:09.9844620Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor.reshard in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076.
2025-08-26T19:47:09.9844780Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9844820Z     
2025-08-26T19:47:09.9844970Z     Reshard a sharded tensor given the ``resharding_spec``. For now, we only support
2025-08-26T19:47:09.9845020Z     single local shard.
2025-08-26T19:47:09.9845060Z     
2025-08-26T19:47:09.9845200Z     If ``resharding_spec`` is same as the original one, this becomes a no-op.
2025-08-26T19:47:09.9845340Z     If only ``resharding_spec`` shares the same sharding dim with the original one,
2025-08-26T19:47:09.9845400Z     we swap local shards directly.
2025-08-26T19:47:09.9845560Z     For more generic cases, we merge different shards across different ranks and split
2025-08-26T19:47:09.9845740Z     the local shards based on the ``resharding_spec`` via `all_to_all` collective API.
2025-08-26T19:47:09.9845780Z     
2025-08-26T19:47:09.9845820Z     Args:
2025-08-26T19:47:09.9846000Z         resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The
2025-08-26T19:47:09.9846100Z             specification describing how the tensor is sharded.
2025-08-26T19:47:09.9846140Z     
2025-08-26T19:47:09.9846180Z     Returns:
2025-08-26T19:47:09.9846300Z         A :class:`ShardedTensor` object whose local shards are resharded.
2025-08-26T19:47:09.9846340Z     
2025-08-26T19:47:09.9846390Z     Examples:
2025-08-26T19:47:09.9846440Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9846510Z         >>> # We have 2 process groups, 2 ranks.
2025-08-26T19:47:09.9846620Z         >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank
2025-08-26T19:47:09.9846690Z         >>> tensor = torch.stack([tensor, tensor])
2025-08-26T19:47:09.9846730Z         >>> tensor
2025-08-26T19:47:09.9846810Z         tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0
2025-08-26T19:47:09.9846880Z         tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1
2025-08-26T19:47:09.9846950Z         tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2
2025-08-26T19:47:09.9847020Z         tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3
2025-08-26T19:47:09.9847070Z         >>> sharding_dim = 0
2025-08-26T19:47:09.9847130Z         >>> spec = ChunkShardingSpec(
2025-08-26T19:47:09.9847190Z                 dim=sharding_dim,
2025-08-26T19:47:09.9847240Z                 placements=[
2025-08-26T19:47:09.9847290Z                     "rank:0/cuda:0",
2025-08-26T19:47:09.9847340Z                     "rank:1/cuda:1",
2025-08-26T19:47:09.9847390Z                     "rank:2/cuda:2",
2025-08-26T19:47:09.9847440Z                     "rank:3/cuda:3",
2025-08-26T19:47:09.9847480Z                 ],
2025-08-26T19:47:09.9847520Z             )
2025-08-26T19:47:09.9847580Z         >>> current_offsets = [0] * 2
2025-08-26T19:47:09.9847640Z         >>> current_offsets[0] = rank * 2
2025-08-26T19:47:09.9847710Z         >>> shard_metadata = ShardMetadata(
2025-08-26T19:47:09.9847800Z                 shard_offsets=copy.deepcopy(current_offsets),
2025-08-26T19:47:09.9847860Z                 shard_sizes=tensor.size(),
2025-08-26T19:47:09.9847930Z                 placement=spec.placements[rank],
2025-08-26T19:47:09.9847970Z             )
2025-08-26T19:47:09.9848020Z         >>> local_shards = [
2025-08-26T19:47:09.9848070Z                 Shard(
2025-08-26T19:47:09.9848120Z                     tensor=tensor,
2025-08-26T19:47:09.9848180Z                     metadata=shard_metadata,
2025-08-26T19:47:09.9848260Z                 )
2025-08-26T19:47:09.9848310Z             ]
2025-08-26T19:47:09.9848450Z         >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size())
2025-08-26T19:47:09.9848530Z         >>> sharding_dim = 1
2025-08-26T19:47:09.9848600Z         >>> resharding_spec = ChunkShardingSpec(
2025-08-26T19:47:09.9848660Z                 dim=sharding_dim,
2025-08-26T19:47:09.9848710Z                 placements=[
2025-08-26T19:47:09.9848760Z                     "rank:0/cuda:0",
2025-08-26T19:47:09.9848810Z                     "rank:1/cuda:1",
2025-08-26T19:47:09.9848860Z                     "rank:2/cuda:2",
2025-08-26T19:47:09.9848910Z                     "rank:3/cuda:3",
2025-08-26T19:47:09.9848950Z                 ],
2025-08-26T19:47:09.9848990Z             )
2025-08-26T19:47:09.9849060Z         >>> st.reshard(resharding_spec)
2025-08-26T19:47:09.9849140Z         >>> tensor = st.local_shards()[0].tensor
2025-08-26T19:47:09.9849180Z         >>> tensor
2025-08-26T19:47:09.9849270Z         tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0
2025-08-26T19:47:09.9849350Z         tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1
2025-08-26T19:47:09.9849440Z         tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2
2025-08-26T19:47:09.9849530Z         tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3
2025-08-26T19:47:09.9849600Z     
2025-08-26T19:47:09.9849750Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9849790Z     
2025-08-26T19:47:09.9849850Z       warnings.warn(msg)
2025-08-26T19:47:09.9849890Z     
2025-08-26T19:47:09.9853020Z --- Parse Warning: 87 / 146 ---
2025-08-26T19:47:09.9853780Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardingPlan in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12.
2025-08-26T19:47:09.9853940Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9853980Z     
2025-08-26T19:47:09.9854120Z     Representation of a sharding plan, describes how to shard a module
2025-08-26T19:47:09.9854290Z     across hosts. `plan` is used to shard module parameters according to the spec provided,
2025-08-26T19:47:09.9854470Z     `output_plan` and `return_local_tensor` are optional, they are used to specify the output
2025-08-26T19:47:09.9854630Z     layout of a module with a spec, and when to convert back to data parallel fashion.
2025-08-26T19:47:09.9854660Z     
2025-08-26T19:47:09.9854710Z     Args:
2025-08-26T19:47:09.9854870Z         plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`,
2025-08-26T19:47:09.9854980Z               :class:`torch.distributed._shard.sharder.Sharder`]):
2025-08-26T19:47:09.9855150Z             a dict describes how to shard a module, there're currently two ways to shard a module:
2025-08-26T19:47:09.9855300Z                 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of
2025-08-26T19:47:09.9855370Z                    a parameter to a `ShardingSpec`.
2025-08-26T19:47:09.9855530Z                 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module
2025-08-26T19:47:09.9855590Z                    to a `Sharder` object.
2025-08-26T19:47:09.9855790Z         output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional):
2025-08-26T19:47:09.9855950Z             a dict specifies the layout of a module's output which produces a ShardedTensor,
2025-08-26T19:47:09.9856100Z             keyed by the name of module to ShardingSpec("" in key means the root module).
2025-08-26T19:47:09.9856150Z             Default: `None`
2025-08-26T19:47:09.9856300Z         return_local_tensor (List[str], optional): a list of string, each element enables
2025-08-26T19:47:09.9856540Z             a module's sharded output to be returned as a Tensor from its local shards to
2025-08-26T19:47:09.9856700Z             ensure further processing in a data parallel fashion. ("" in list means the
2025-08-26T19:47:09.9856780Z             root module).
2025-08-26T19:47:09.9856830Z             Default: None
2025-08-26T19:47:09.9856870Z     Example:
2025-08-26T19:47:09.9857040Z       Suppose we want to shard a module with two linear layers and then run it with DDP, we also
2025-08-26T19:47:09.9857210Z       want to convert the output of the second linear layer back to DDP, we can do it as follows:
2025-08-26T19:47:09.9857250Z     
2025-08-26T19:47:09.9857360Z         >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d)
2025-08-26T19:47:09.9857420Z         >>> class MyModule(nn.Module):
2025-08-26T19:47:09.9857480Z         >>>     def __init__(self) -> None:
2025-08-26T19:47:09.9857540Z         >>>        super().__init__()
2025-08-26T19:47:09.9857600Z         >>>        self.fc1 = nn.Linear()
2025-08-26T19:47:09.9857650Z         >>>        self.gelu = nn.GELU()
2025-08-26T19:47:09.9857710Z         >>>        self.fc2 = nn.Linear()
2025-08-26T19:47:09.9857770Z         >>>        self.relu = nn.Linear()
2025-08-26T19:47:09.9857810Z         >>>
2025-08-26T19:47:09.9857870Z         >>>     def forward(self, input):
2025-08-26T19:47:09.9858020Z         >>>         return self.relu(self.fc2(self.gelu(self.fc1(input))))
2025-08-26T19:47:09.9858060Z     
2025-08-26T19:47:09.9858100Z     
2025-08-26T19:47:09.9858180Z         >>> # xdoctest: +SKIP("Undefined spec1, spec2)
2025-08-26T19:47:09.9858250Z         >>> sharding_plan = ShardingPlan(
2025-08-26T19:47:09.9858290Z         >>>    plan={
2025-08-26T19:47:09.9858350Z         >>>        "fc1.weight": spec1,
2025-08-26T19:47:09.9858400Z         >>>        "fc2.weight": spec2
2025-08-26T19:47:09.9858450Z         >>>    },
2025-08-26T19:47:09.9858500Z         >>>    output_plan={
2025-08-26T19:47:09.9858550Z         >>>        "fc2": output_spec
2025-08-26T19:47:09.9858590Z         >>>    },
2025-08-26T19:47:09.9858660Z         >>>    return_local_tensor=["fc2"]
2025-08-26T19:47:09.9858700Z         >>> )
2025-08-26T19:47:09.9858740Z     
2025-08-26T19:47:09.9858890Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9858930Z     
2025-08-26T19:47:09.9858980Z       warnings.warn(msg)
2025-08-26T19:47:09.9859030Z     
2025-08-26T19:47:09.9859150Z --- Parse Warning: 88 / 146 ---
2025-08-26T19:47:09.9859910Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_sharding in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=25.
2025-08-26T19:47:09.9860070Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9860110Z     
2025-08-26T19:47:09.9860280Z     :meth:`register_sharding` is an experimental API that allows users to register sharding
2025-08-26T19:47:09.9860420Z     strategies for an operator when the tensor inputs and outputs are DTensor.
2025-08-26T19:47:09.9860580Z     It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``,
2025-08-26T19:47:09.9860730Z     e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2)
2025-08-26T19:47:09.9860890Z     when users would like to overwrite default sharding strategies of existing operators.
2025-08-26T19:47:09.9860940Z     
2025-08-26T19:47:09.9860980Z     Args:
2025-08-26T19:47:09.9861060Z         op (Union[OpOverload, List[OpOverload]]):
2025-08-26T19:47:09.9861180Z             An op or a list of ops to register the customized sharding function.
2025-08-26T19:47:09.9861210Z     
2025-08-26T19:47:09.9861260Z     Returns:
2025-08-26T19:47:09.9861420Z         A function decorator which can be used to wrap a function that defines the sharding
2025-08-26T19:47:09.9861640Z         strategy for the operator specified in ``op``. The defined sharding strategy will be
2025-08-26T19:47:09.9861800Z         registered to DTensor and will override the default sharding strategy if DTensor has
2025-08-26T19:47:09.9862020Z         already implemented the operator. The customized sharding function takes the same inputs
2025-08-26T19:47:09.9862170Z         as the original op (except that if an arg is a :class:`torch.Tensor`, it will be
2025-08-26T19:47:09.9862330Z         replaced by a tensor-like object that DTensor uses internally). The function should
2025-08-26T19:47:09.9862490Z         return a sequence of 2-tuples, each specifying acceptable output placements and its
2025-08-26T19:47:09.9862560Z         corresponding input placements.
2025-08-26T19:47:09.9862600Z     
2025-08-26T19:47:09.9862640Z     Example:
2025-08-26T19:47:09.9862710Z         >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:09.9862790Z         >>> @register_sharding(aten._softmax.default)
2025-08-26T19:47:09.9862890Z         >>> def custom_softmax_sharding(x, dim, half_to_float):
2025-08-26T19:47:09.9862980Z         >>>     softmax_dim = dim if dim >= 0 else dim + x.ndim
2025-08-26T19:47:09.9863040Z         >>>     acceptable_shardings = []
2025-08-26T19:47:09.9863080Z         >>>
2025-08-26T19:47:09.9863190Z         >>>     all_replicate = ([Replicate()], [Replicate(), None, None])
2025-08-26T19:47:09.9863310Z         >>>     acceptable_shardings.append(all_replicate)
2025-08-26T19:47:09.9863360Z         >>>
2025-08-26T19:47:09.9863430Z         >>>     for sharding_dim in range(x.ndim):
2025-08-26T19:47:09.9863500Z         >>>         if sharding_dim != softmax_dim:
2025-08-26T19:47:09.9863550Z         >>>             all_sharded = (
2025-08-26T19:47:09.9863620Z         >>>                 [Shard(sharding_dim)],
2025-08-26T19:47:09.9863690Z         >>>                 [Shard(sharding_dim), None, None],
2025-08-26T19:47:09.9863740Z         >>>             )
2025-08-26T19:47:09.9863830Z         >>>             acceptable_shardings.append(all_sharded)
2025-08-26T19:47:09.9863870Z         >>>
2025-08-26T19:47:09.9863930Z         >>>     return acceptable_shardings
2025-08-26T19:47:09.9863970Z     
2025-08-26T19:47:09.9864100Z     .. note:: This API is currently experimental and subject to change
2025-08-26T19:47:09.9864140Z     
2025-08-26T19:47:09.9864290Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9864330Z     
2025-08-26T19:47:09.9864380Z       warnings.warn(msg)
2025-08-26T19:47:09.9864420Z     
2025-08-26T19:47:09.9864520Z --- Parse Warning: 89 / 146 ---
2025-08-26T19:47:09.9865230Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=local_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_func_map.py line=35.
2025-08-26T19:47:09.9865390Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9865430Z     
2025-08-26T19:47:09.9865590Z     :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s
2025-08-26T19:47:09.9865760Z     to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting
2025-08-26T19:47:09.9865930Z     the local components of :class:`DTensor`, call the function, and wrap the outputs to
2025-08-26T19:47:09.9866020Z     :class:`DTensor` according to the ``out_placements``.
2025-08-26T19:47:09.9866060Z     
2025-08-26T19:47:09.9866100Z     Args:
2025-08-26T19:47:09.9866230Z         func (Callable): the function to be applied on each local shard of
2025-08-26T19:47:09.9866280Z             :class:`DTensor` s.
2025-08-26T19:47:09.9866420Z         out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]):
2025-08-26T19:47:09.9866580Z             the desired placements of the :class:`DTensor` s in ``func``'s flattened output.
2025-08-26T19:47:09.9866780Z             If the flattened ``output`` is a single value, the ``out_placements`` should be
2025-08-26T19:47:09.9866930Z             of type `PlacementType`. Otherwise if the flattened ``output`` has multiple
2025-08-26T19:47:09.9867100Z             values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1
2025-08-26T19:47:09.9867180Z             mapping to the flattened ``output``.
2025-08-26T19:47:09.9867300Z             Besides, for :class:`Tensor` output, we use `PlacementType` as its
2025-08-26T19:47:09.9867470Z             placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType`
2025-08-26T19:47:09.9867520Z             should be `None`.
2025-08-26T19:47:09.9867660Z             Note that the only exception is when no :class:`DTensor` argument is passed
2025-08-26T19:47:09.9867800Z             in. In this case, even if `out_placements` is not `None`, the result function
2025-08-26T19:47:09.9867960Z             should ignore the desired placements because the function is not running with
2025-08-26T19:47:09.9868010Z             :class:`DTensor` s.
2025-08-26T19:47:09.9868110Z         in_placements (Tuple[`PlacementType`, ...], optional):
2025-08-26T19:47:09.9868270Z             the required placements of the :class:`DTensor` s in the flattened inputs of ``func``.
2025-08-26T19:47:09.9868460Z             If ``in_placements`` is specified, :meth:`local_map` would examine whether the
2025-08-26T19:47:09.9868600Z             placements of each :class:`DTensor` argument is the same as the required
2025-08-26T19:47:09.9868710Z             placements or not. If the placements are not the same and
2025-08-26T19:47:09.9868850Z             ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if
2025-08-26T19:47:09.9869000Z             ``redistribute_inputs`` is ``True``, the argument will be first redistributed to
2025-08-26T19:47:09.9869150Z             the required sharding placements before passing its local tensor to ``func``.
2025-08-26T19:47:09.9869290Z             The only exception is when required placements are not ``None`` and the
2025-08-26T19:47:09.9869440Z             argument is a :class:`torch.Tensor`. In this case, the placements examination
2025-08-26T19:47:09.9869570Z             will be skipped and the argument will be directly passed to ``func``.
2025-08-26T19:47:09.9869710Z             If ``in_placements`` is ``None``, no placements examination will be performed.
2025-08-26T19:47:09.9869760Z             Default: None
2025-08-26T19:47:09.9869870Z         in_grad_placements (Tuple[`PlacementType`, ...], optional):
2025-08-26T19:47:09.9870000Z             the placements hint of the :class:`DTensor` s gradient corresponds
2025-08-26T19:47:09.9870120Z             to the flattened input DTensor. This argument is the hint that user
2025-08-26T19:47:09.9870230Z             can give to :meth:`to_local` in case the gradient layout of the
2025-08-26T19:47:09.9870370Z             local tensor input does not match its :class:`DTensor` input layout.
2025-08-26T19:47:09.9870490Z             If not specified, we will assume the gradient layout of the local
2025-08-26T19:47:09.9870620Z             tensor input remains the same as the original :class:`DTensor` input
2025-08-26T19:47:09.9870730Z             and use that for gradient computation. Default: None.
2025-08-26T19:47:09.9870810Z         device_mesh (:class:`DeviceMesh`, optional):
2025-08-26T19:47:09.9870940Z             the device mesh that the output :class:`DTensor` s are placed on. If not
2025-08-26T19:47:09.9871100Z             specified, this will be inferred from the first input :class:`DTensor`'s device
2025-08-26T19:47:09.9871150Z             mesh. Default: None.
2025-08-26T19:47:09.9871200Z     
2025-08-26T19:47:09.9871240Z     Keyword Args:
2025-08-26T19:47:09.9871310Z         redistribute_inputs (bool, optional):
2025-08-26T19:47:09.9871470Z             the bool value indicating whether to reshard the input :class:`DTensor` s when
2025-08-26T19:47:09.9871670Z             their placements are different from the required input placements. If this
2025-08-26T19:47:09.9871810Z             value is ``False`` and some :class:`DTensor` input has a different placement,
2025-08-26T19:47:09.9871920Z             an exception will be raised. Default: False.
2025-08-26T19:47:09.9871960Z     
2025-08-26T19:47:09.9872000Z     Returns:
2025-08-26T19:47:09.9872160Z         A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor`
2025-08-26T19:47:09.9872300Z         and returns a :class:`DTensor` constructed from the return value of ``func``.
2025-08-26T19:47:09.9872340Z     
2025-08-26T19:47:09.9872380Z     Raises:
2025-08-26T19:47:09.9872520Z         AssertionError: For any non-DTensor output, we require its corresponding
2025-08-26T19:47:09.9872680Z             output placement in ``out_placements`` be None. An AssertionError will be raised
2025-08-26T19:47:09.9872730Z             if this is not the case.
2025-08-26T19:47:09.9872770Z     
2025-08-26T19:47:09.9872940Z         ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs
2025-08-26T19:47:09.9873030Z             a redistribution according to ``in_placements``.
2025-08-26T19:47:09.9873070Z     
2025-08-26T19:47:09.9873110Z     Example:
2025-08-26T19:47:09.9873180Z         >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:09.9873300Z         >>> def mm_allreduce_forward(device_mesh, W, X):
2025-08-26T19:47:09.9873370Z         >>>     partial_sum_tensor = torch.mm(W, X)
2025-08-26T19:47:09.9873520Z         >>>     reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh)
2025-08-26T19:47:09.9873580Z         >>>     return reduced_tensor
2025-08-26T19:47:09.9873620Z         >>>
2025-08-26T19:47:09.9873700Z         >>> W = torch.randn(12, 8, requires_grad=False)
2025-08-26T19:47:09.9873770Z         >>> X = torch.randn(8, 16, requires_grad=False)
2025-08-26T19:47:09.9873820Z         >>> Y = torch.mm(W, X)
2025-08-26T19:47:09.9873940Z         >>> row_wise = [Shard(0)]  # row-wise sharding placements on 1-d mesh
2025-08-26T19:47:09.9874060Z         >>> col_wise = [Shard(1)]  # col-wise sharding placements on 1-d mesh
2025-08-26T19:47:09.9874100Z         >>>
2025-08-26T19:47:09.9874270Z         >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor conversion
2025-08-26T19:47:09.9874350Z         >>> local_mm_allreduce_forward = local_map(
2025-08-26T19:47:09.9874410Z         >>>     mm_allreduce_forward,
2025-08-26T19:47:09.9874470Z         >>>     out_placements=[Replicate()],
2025-08-26T19:47:09.9874540Z         >>>     in_placements=[col_wise, row_wise],
2025-08-26T19:47:09.9874600Z         >>>     device_mesh=device_mesh,
2025-08-26T19:47:09.9874650Z         >>> )
2025-08-26T19:47:09.9874690Z         >>>
2025-08-26T19:47:09.9874750Z         >>> W_dt = distribute_tensor(
2025-08-26T19:47:09.9874810Z         ...     W, device_mesh, (col_wise)
2025-08-26T19:47:09.9874870Z         ... )  # col-wisely sharded W tensor
2025-08-26T19:47:09.9874930Z         >>> X_dt = distribute_tensor(
2025-08-26T19:47:09.9874990Z         ...     X, device_mesh, (row_wise)
2025-08-26T19:47:09.9875050Z         ... )  # row-wisely sharded X tensor
2025-08-26T19:47:09.9875120Z         >>> Y_dt = local_mm_allreduce_forward(
2025-08-26T19:47:09.9875170Z         ...     device_mesh, W_dt, X_dt
2025-08-26T19:47:09.9875260Z         ... )  # apply local_mm_allreduce_forward to DTensors
2025-08-26T19:47:09.9875310Z     
2025-08-26T19:47:09.9875430Z     .. note:: This API is currently experimental and subject to change
2025-08-26T19:47:09.9875470Z     
2025-08-26T19:47:09.9875620Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9875660Z     
2025-08-26T19:47:09.9875710Z       warnings.warn(msg)
2025-08-26T19:47:09.9875750Z     
2025-08-26T19:47:09.9875850Z --- Parse Warning: 90 / 146 ---
2025-08-26T19:47:09.9876650Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=428.
2025-08-26T19:47:09.9876830Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9876870Z     
2025-08-26T19:47:09.9877100Z     Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to
2025-08-26T19:47:09.9877290Z     ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``.
2025-08-26T19:47:09.9877330Z     
2025-08-26T19:47:09.9877380Z     Keyword Args:
2025-08-26T19:47:09.9877500Z         input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-26T19:47:09.9877690Z             The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-08-26T19:47:09.9877910Z             DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-08-26T19:47:09.9877980Z             as a placeholder. default: None.
2025-08-26T19:47:09.9878120Z         desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-26T19:47:09.9878340Z             The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-26T19:47:09.9878610Z             have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-08-26T19:47:09.9878690Z         input_kwarg_layouts (Dict[str, Placement]):
2025-08-26T19:47:09.9878910Z             The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-08-26T19:47:09.9878960Z             default: None
2025-08-26T19:47:09.9879060Z         desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-08-26T19:47:09.9879280Z             The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-26T19:47:09.9879370Z             have the desired DTensor layouts. default: None.
2025-08-26T19:47:09.9879430Z         use_local_output (bool, optional):
2025-08-26T19:47:09.9879650Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-08-26T19:47:09.9879690Z     Returns:
2025-08-26T19:47:09.9879890Z         A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs.
2025-08-26T19:47:09.9879920Z     
2025-08-26T19:47:09.9879970Z     Example::
2025-08-26T19:47:09.9880030Z         >>> # xdoctest: +SKIP(failing)
2025-08-26T19:47:09.9880220Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput
2025-08-26T19:47:09.9880330Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-08-26T19:47:09.9880380Z         >>> ...
2025-08-26T19:47:09.9880560Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-08-26T19:47:09.9880640Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-08-26T19:47:09.9880680Z         >>>
2025-08-26T19:47:09.9880880Z         >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor
2025-08-26T19:47:09.9880970Z         >>> # and then redistributed to Replicated DTensor.
2025-08-26T19:47:09.9881020Z         >>> parallelize_module(
2025-08-26T19:47:09.9881110Z         >>>     block, # this can be a submodule or module
2025-08-26T19:47:09.9881150Z         >>>     tp_mesh,
2025-08-26T19:47:09.9881210Z         >>>     parallelize_plan={
2025-08-26T19:47:09.9881280Z         >>>         "attn": PrepareModuleInput(
2025-08-26T19:47:09.9881370Z         >>>             input_layouts=(Shard(0), None, None, ...),
2025-08-26T19:47:09.9881470Z         >>>             desired_input_layouts=(Replicate(), None, None, ...)
2025-08-26T19:47:09.9881560Z         >>>         ),
2025-08-26T19:47:09.9881600Z         >>>     }
2025-08-26T19:47:09.9881640Z         >>> )
2025-08-26T19:47:09.9881680Z     
2025-08-26T19:47:09.9881830Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9881900Z     
2025-08-26T19:47:09.9881950Z       warnings.warn(msg)
2025-08-26T19:47:09.9881990Z     
2025-08-26T19:47:09.9882090Z --- Parse Warning: 91 / 146 ---
2025-08-26T19:47:09.9882820Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=597.
2025-08-26T19:47:09.9882980Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9883020Z     
2025-08-26T19:47:09.9883260Z     Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to
2025-08-26T19:47:09.9883470Z     ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``.
2025-08-26T19:47:09.9883510Z     
2025-08-26T19:47:09.9883560Z     Keyword Args:
2025-08-26T19:47:09.9883700Z         output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-26T19:47:09.9883900Z             The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-08-26T19:47:09.9884140Z             DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-08-26T19:47:09.9884230Z             ``None`` need to be specified as a placeholder.
2025-08-26T19:47:09.9884340Z         desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-26T19:47:09.9884580Z             The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-08-26T19:47:09.9884650Z             have the desired DTensor layouts.
2025-08-26T19:47:09.9884710Z         use_local_output (bool, optional):
2025-08-26T19:47:09.9884930Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-08-26T19:47:09.9884970Z     Returns:
2025-08-26T19:47:09.9885150Z         A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs.
2025-08-26T19:47:09.9885190Z     
2025-08-26T19:47:09.9885230Z     Example::
2025-08-26T19:47:09.9885290Z         >>> # xdoctest: +SKIP(failing)
2025-08-26T19:47:09.9885480Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput
2025-08-26T19:47:09.9885600Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-08-26T19:47:09.9885640Z         >>> ...
2025-08-26T19:47:09.9885820Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-08-26T19:47:09.9885900Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-08-26T19:47:09.9885940Z         >>>
2025-08-26T19:47:09.9886180Z         >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor
2025-08-26T19:47:09.9886260Z         >>> # and then redistributed to Sharded DTensor.
2025-08-26T19:47:09.9886320Z         >>> parallelize_module(
2025-08-26T19:47:09.9886390Z         >>>     block, # this can be a submodule or module
2025-08-26T19:47:09.9886440Z         >>>     tp_mesh,
2025-08-26T19:47:09.9886520Z         >>>     parallelize_plan = PrepareModuleOutput(
2025-08-26T19:47:09.9886590Z         >>>         output_layouts=Replicate(),
2025-08-26T19:47:09.9886660Z         >>>         desired_output_layouts=Shard(0)
2025-08-26T19:47:09.9886700Z         >>>     )
2025-08-26T19:47:09.9886740Z         >>> )
2025-08-26T19:47:09.9886780Z     
2025-08-26T19:47:09.9886970Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9887010Z     
2025-08-26T19:47:09.9887060Z       warnings.warn(msg)
2025-08-26T19:47:09.9887100Z     
2025-08-26T19:47:09.9887200Z --- Parse Warning: 92 / 146 ---
2025-08-26T19:47:09.9887970Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInputOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=705.
2025-08-26T19:47:09.9888130Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9888170Z     
2025-08-26T19:47:09.9888430Z     Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module
2025-08-26T19:47:09.9888680Z     to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution
2025-08-26T19:47:09.9888910Z     according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of
2025-08-26T19:47:09.9889030Z     :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`.
2025-08-26T19:47:09.9889080Z     
2025-08-26T19:47:09.9889140Z     Keyword Args:
2025-08-26T19:47:09.9889270Z         input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-26T19:47:09.9889460Z             The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-08-26T19:47:09.9889680Z             DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-08-26T19:47:09.9889750Z             as a placeholder. default: None.
2025-08-26T19:47:09.9889890Z         desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-26T19:47:09.9890120Z             The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-26T19:47:09.9890350Z             have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-08-26T19:47:09.9890430Z         input_kwarg_layouts (Dict[str, Placement]):
2025-08-26T19:47:09.9890650Z             The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-08-26T19:47:09.9890700Z             default: None
2025-08-26T19:47:09.9890800Z         desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-08-26T19:47:09.9891010Z             The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-26T19:47:09.9891100Z             have the desired DTensor layouts. default: None.
2025-08-26T19:47:09.9891170Z         use_local_input (bool, optional):
2025-08-26T19:47:09.9891380Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-08-26T19:47:09.9891480Z         output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-26T19:47:09.9891680Z             The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-08-26T19:47:09.9891910Z             DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-08-26T19:47:09.9892000Z             ``None`` need to be specified as a placeholder.
2025-08-26T19:47:09.9892110Z         desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-26T19:47:09.9892340Z             The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-08-26T19:47:09.9892410Z             have the desired DTensor layouts.
2025-08-26T19:47:09.9892470Z         use_local_output (bool, optional):
2025-08-26T19:47:09.9892720Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-08-26T19:47:09.9892760Z     Returns:
2025-08-26T19:47:09.9892980Z         A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs.
2025-08-26T19:47:09.9893040Z     
2025-08-26T19:47:09.9893090Z     Example::
2025-08-26T19:47:09.9893150Z         >>> # xdoctest: +SKIP(failing)
2025-08-26T19:47:09.9893350Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput
2025-08-26T19:47:09.9893470Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-08-26T19:47:09.9893510Z         >>> ...
2025-08-26T19:47:09.9893700Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-08-26T19:47:09.9893770Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-08-26T19:47:09.9893820Z         >>>
2025-08-26T19:47:09.9894020Z         >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor
2025-08-26T19:47:09.9894230Z         >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated
2025-08-26T19:47:09.9894360Z         >>> # as Replicated DTensor and then redistributed to Sharded DTensor.
2025-08-26T19:47:09.9894440Z         >>> parallelize_module(
2025-08-26T19:47:09.9894530Z         >>>     block, # this can be a submodule or module
2025-08-26T19:47:09.9894580Z         >>>     tp_mesh,
2025-08-26T19:47:09.9894630Z         >>>     parallelize_plan={
2025-08-26T19:47:09.9894720Z         >>>         "attn": PrepareModuleInputOutput(
2025-08-26T19:47:09.9894800Z         >>>             input_layouts=(Shard(0), None, None, ...),
2025-08-26T19:47:09.9894910Z         >>>             desired_input_layouts=(Replicate(), None, None, ...),
2025-08-26T19:47:09.9894970Z         >>>             output_layouts=Replicate(),
2025-08-26T19:47:09.9895050Z         >>>             desired_output_layouts=Shard(0),
2025-08-26T19:47:09.9895100Z         >>>         ),
2025-08-26T19:47:09.9895140Z         >>>     }
2025-08-26T19:47:09.9895180Z         >>> )
2025-08-26T19:47:09.9895220Z     
2025-08-26T19:47:09.9895370Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9895410Z     
2025-08-26T19:47:09.9895470Z       warnings.warn(msg)
2025-08-26T19:47:09.9895510Z     
2025-08-26T19:47:09.9895620Z --- Parse Warning: 93 / 146 ---
2025-08-26T19:47:09.9896300Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_execution in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/rpc/functions.py line=6.
2025-08-26T19:47:09.9896460Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9896500Z     
2025-08-26T19:47:09.9896640Z     A decorator for a function indicating that the return value of the function
2025-08-26T19:47:09.9896770Z     is guaranteed to be a :class:`~torch.futures.Future` object and this
2025-08-26T19:47:09.9896920Z     function can run asynchronously on the RPC callee. More specifically, the
2025-08-26T19:47:09.9897070Z     callee extracts the :class:`~torch.futures.Future` returned by the wrapped
2025-08-26T19:47:09.9897220Z     function and installs subsequent processing steps as a callback to that
2025-08-26T19:47:09.9897360Z     :class:`~torch.futures.Future`. The installed callback will read the value
2025-08-26T19:47:09.9897490Z     from the :class:`~torch.futures.Future` when completed and send the
2025-08-26T19:47:09.9897600Z     value back as the RPC response. That also means the returned
2025-08-26T19:47:09.9897740Z     :class:`~torch.futures.Future` only exists on the callee side and is never
2025-08-26T19:47:09.9897870Z     sent through RPC. This decorator is useful when the wrapped function's
2025-08-26T19:47:09.9898060Z     (``fn``) execution needs to pause and resume due to, e.g., containing
2025-08-26T19:47:09.9898210Z     :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals.
2025-08-26T19:47:09.9898250Z     
2025-08-26T19:47:09.9898410Z     .. note:: To enable asynchronous execution, applications must pass the
2025-08-26T19:47:09.9898560Z         function object returned by this decorator to RPC APIs. If RPC detected
2025-08-26T19:47:09.9898690Z         attributes installed by this decorator, it knows that this function
2025-08-26T19:47:09.9898810Z         returns a ``Future`` object and will handle that accordingly.
2025-08-26T19:47:09.9898940Z         However, this does not mean this decorator has to be outmost one when
2025-08-26T19:47:09.9899070Z         defining a function. For example, when combined with ``@staticmethod``
2025-08-26T19:47:09.9899200Z         or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the
2025-08-26T19:47:09.9899340Z         inner decorator to allow the target function be recognized as a static
2025-08-26T19:47:09.9899480Z         or class function. This target function can still execute asynchronously
2025-08-26T19:47:09.9899610Z         because, when accessed, the static or class method preserves attributes
2025-08-26T19:47:09.9899710Z         installed by ``@rpc.functions.async_execution``.
2025-08-26T19:47:09.9899790Z     
2025-08-26T19:47:09.9899830Z     
2025-08-26T19:47:09.9899870Z     Example::
2025-08-26T19:47:09.9900000Z         The returned :class:`~torch.futures.Future` object can come from
2025-08-26T19:47:09.9900080Z         :meth:`~torch.distributed.rpc.rpc_async`,
2025-08-26T19:47:09.9900210Z         :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future`
2025-08-26T19:47:09.9900320Z         constructor. The example below shows directly using the
2025-08-26T19:47:09.9900400Z         :class:`~torch.futures.Future` returned by
2025-08-26T19:47:09.9900470Z         :meth:`~torch.futures.Future.then`.
2025-08-26T19:47:09.9900510Z     
2025-08-26T19:47:09.9900580Z         >>> from torch.distributed import rpc
2025-08-26T19:47:09.9900620Z         >>>
2025-08-26T19:47:09.9900690Z         >>> # omitting setup and shutdown RPC
2025-08-26T19:47:09.9900730Z         >>>
2025-08-26T19:47:09.9900780Z         >>> # On all workers
2025-08-26T19:47:09.9900850Z         >>> @rpc.functions.async_execution
2025-08-26T19:47:09.9900920Z         >>> def async_add_chained(to, x, y, z):
2025-08-26T19:47:09.9901030Z         >>>     # This function runs on "worker1" and returns immediately when
2025-08-26T19:47:09.9901150Z         >>>     # the callback is installed through the `then(cb)` API. In the
2025-08-26T19:47:09.9901260Z         >>>     # mean time, the `rpc_async` to "worker2" can run concurrently.
2025-08-26T19:47:09.9901360Z         >>>     # When the return value of that `rpc_async` arrives at
2025-08-26T19:47:09.9901470Z         >>>     # "worker1", "worker1" will run the lambda function accordingly
2025-08-26T19:47:09.9901590Z         >>>     # and set the value for the previously returned `Future`, which
2025-08-26T19:47:09.9901700Z         >>>     # will then trigger RPC to send the result back to "worker0".
2025-08-26T19:47:09.9901800Z         >>>     return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-26T19:47:09.9901870Z         >>>         lambda fut: fut.wait() + z
2025-08-26T19:47:09.9901910Z         >>>     )
2025-08-26T19:47:09.9901950Z         >>>
2025-08-26T19:47:09.9902000Z         >>> # On worker0
2025-08-26T19:47:09.9902050Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9902100Z         >>> ret = rpc.rpc_sync(
2025-08-26T19:47:09.9902150Z         >>>     "worker1",
2025-08-26T19:47:09.9902210Z         >>>     async_add_chained,
2025-08-26T19:47:09.9902280Z         >>>     args=("worker2", torch.ones(2), 1, 1)
2025-08-26T19:47:09.9902320Z         >>> )
2025-08-26T19:47:09.9902390Z         >>> print(ret)  # prints tensor([3., 3.])
2025-08-26T19:47:09.9902430Z     
2025-08-26T19:47:09.9902560Z         When combined with TorchScript decorators, this decorator must be the
2025-08-26T19:47:09.9902660Z         outmost one.
2025-08-26T19:47:09.9902700Z     
2025-08-26T19:47:09.9902760Z         >>> from torch import Tensor
2025-08-26T19:47:09.9902830Z         >>> from torch.futures import Future
2025-08-26T19:47:09.9902920Z         >>> from torch.distributed import rpc
2025-08-26T19:47:09.9902960Z         >>>
2025-08-26T19:47:09.9903030Z         >>> # omitting setup and shutdown RPC
2025-08-26T19:47:09.9903070Z         >>>
2025-08-26T19:47:09.9903120Z         >>> # On all workers
2025-08-26T19:47:09.9903170Z         >>> @torch.jit.script
2025-08-26T19:47:09.9903260Z         >>> def script_add(x: Tensor, y: Tensor) -> Tensor:
2025-08-26T19:47:09.9903310Z         >>>     return x + y
2025-08-26T19:47:09.9903350Z         >>>
2025-08-26T19:47:09.9903410Z         >>> @rpc.functions.async_execution
2025-08-26T19:47:09.9903460Z         >>> @torch.jit.script
2025-08-26T19:47:09.9903580Z         >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]:
2025-08-26T19:47:09.9903670Z         >>>     return rpc.rpc_async(to, script_add, (x, y))
2025-08-26T19:47:09.9903710Z         >>>
2025-08-26T19:47:09.9903750Z         >>> # On worker0
2025-08-26T19:47:09.9903810Z         >>> ret = rpc.rpc_sync(
2025-08-26T19:47:09.9903860Z         >>>     "worker1",
2025-08-26T19:47:09.9903940Z         >>>     async_add,
2025-08-26T19:47:09.9904010Z         >>>     args=("worker2", torch.ones(2), 1)
2025-08-26T19:47:09.9904050Z         >>> )
2025-08-26T19:47:09.9904120Z         >>> print(ret)  # prints tensor([2., 2.])
2025-08-26T19:47:09.9904160Z     
2025-08-26T19:47:09.9904290Z         When combined with static or class method, this decorator must be the
2025-08-26T19:47:09.9904330Z         inner one.
2025-08-26T19:47:09.9904370Z     
2025-08-26T19:47:09.9904440Z         >>> from torch.distributed import rpc
2025-08-26T19:47:09.9904480Z         >>>
2025-08-26T19:47:09.9904550Z         >>> # omitting setup and shutdown RPC
2025-08-26T19:47:09.9904580Z         >>>
2025-08-26T19:47:09.9904630Z         >>> # On all workers
2025-08-26T19:47:09.9904700Z         >>> class AsyncExecutionClass:
2025-08-26T19:47:09.9904740Z         >>>
2025-08-26T19:47:09.9904790Z         >>>     @staticmethod
2025-08-26T19:47:09.9904860Z         >>>     @rpc.functions.async_execution
2025-08-26T19:47:09.9904930Z         >>>     def static_async_add(to, x, y, z):
2025-08-26T19:47:09.9905030Z         >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-26T19:47:09.9905100Z         >>>             lambda fut: fut.wait() + z
2025-08-26T19:47:09.9905140Z         >>>         )
2025-08-26T19:47:09.9905190Z         >>>
2025-08-26T19:47:09.9905230Z         >>>     @classmethod
2025-08-26T19:47:09.9905300Z         >>>     @rpc.functions.async_execution
2025-08-26T19:47:09.9905370Z         >>>     def class_async_add(cls, to, x, y, z):
2025-08-26T19:47:09.9905450Z         >>>         ret_fut = torch.futures.Future()
2025-08-26T19:47:09.9905540Z         >>>         rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-26T19:47:09.9905630Z         >>>             lambda fut: ret_fut.set_result(fut.wait() + z)
2025-08-26T19:47:09.9905680Z         >>>         )
2025-08-26T19:47:09.9905730Z         >>>         return ret_fut
2025-08-26T19:47:09.9905780Z         >>>
2025-08-26T19:47:09.9905840Z         >>>     @rpc.functions.async_execution
2025-08-26T19:47:09.9905920Z         >>>     def bound_async_add(self, to, x, y, z):
2025-08-26T19:47:09.9906020Z         >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-26T19:47:09.9906090Z         >>>             lambda fut: fut.wait() + z
2025-08-26T19:47:09.9906130Z         >>>         )
2025-08-26T19:47:09.9906180Z         >>>
2025-08-26T19:47:09.9906220Z         >>> # On worker0
2025-08-26T19:47:09.9906280Z         >>> ret = rpc.rpc_sync(
2025-08-26T19:47:09.9906330Z         >>>     "worker1",
2025-08-26T19:47:09.9906410Z         >>>     AsyncExecutionClass.static_async_add,
2025-08-26T19:47:09.9906520Z         >>>     args=("worker2", torch.ones(2), 1, 2)
2025-08-26T19:47:09.9906560Z         >>> )
2025-08-26T19:47:09.9906640Z         >>> print(ret)  # prints tensor([4., 4.])
2025-08-26T19:47:09.9906680Z         >>>
2025-08-26T19:47:09.9906750Z         >>> ret = rpc.rpc_sync(
2025-08-26T19:47:09.9906800Z         >>>     "worker1",
2025-08-26T19:47:09.9906890Z         >>>     AsyncExecutionClass.class_async_add,
2025-08-26T19:47:09.9906960Z         >>>     args=("worker2", torch.ones(2), 1, 2)
2025-08-26T19:47:09.9907000Z         >>> )
2025-08-26T19:47:09.9907070Z         >>> print(ret)  # prints tensor([4., 4.])
2025-08-26T19:47:09.9907100Z     
2025-08-26T19:47:09.9907200Z         This decorator also works with RRef helpers, i.e., .
2025-08-26T19:47:09.9907290Z         :meth:`torch.distributed.rpc.RRef.rpc_sync`,
2025-08-26T19:47:09.9907380Z         :meth:`torch.distributed.rpc.RRef.rpc_async`, and
2025-08-26T19:47:09.9907470Z         :meth:`torch.distributed.rpc.RRef.remote`.
2025-08-26T19:47:09.9907510Z     
2025-08-26T19:47:09.9907570Z         >>> from torch.distributed import rpc
2025-08-26T19:47:09.9910740Z         >>>
2025-08-26T19:47:09.9910860Z         >>> # reuse the AsyncExecutionClass class above
2025-08-26T19:47:09.9910960Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-08-26T19:47:09.9911090Z         >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2)
2025-08-26T19:47:09.9911240Z         >>> print(ret)  # prints tensor([4., 4.])
2025-08-26T19:47:09.9911280Z         >>>
2025-08-26T19:47:09.9911370Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-08-26T19:47:09.9911510Z         >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait()
2025-08-26T19:47:09.9911580Z         >>> print(ret)  # prints tensor([4., 4.])
2025-08-26T19:47:09.9911620Z         >>>
2025-08-26T19:47:09.9911710Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-08-26T19:47:09.9911860Z         >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here()
2025-08-26T19:47:09.9911930Z         >>> print(ret)  # prints tensor([4., 4.])
2025-08-26T19:47:09.9911970Z     
2025-08-26T19:47:09.9912120Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9912170Z     
2025-08-26T19:47:09.9912220Z       warnings.warn(msg)
2025-08-26T19:47:09.9912260Z     
2025-08-26T19:47:09.9912400Z --- Parse Warning: 94 / 146 ---
2025-08-26T19:47:09.9913160Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/rpc/options.py line=113.
2025-08-26T19:47:09.9913320Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9913360Z     
2025-08-26T19:47:09.9913490Z     Set device mapping between each RPC caller and callee pair. This
2025-08-26T19:47:09.9913600Z     function can be called multiple times to incrementally add
2025-08-26T19:47:09.9913660Z     device placement configurations.
2025-08-26T19:47:09.9913700Z     
2025-08-26T19:47:09.9913740Z     Args:
2025-08-26T19:47:09.9913800Z         to (str): Callee name.
2025-08-26T19:47:09.9913920Z         device_map (Dict of int, str, or torch.device): Device placement
2025-08-26T19:47:09.9914030Z             mappings from this worker to the callee. This map must be
2025-08-26T19:47:09.9914070Z             invertible.
2025-08-26T19:47:09.9914120Z     
2025-08-26T19:47:09.9914160Z     Example:
2025-08-26T19:47:09.9914230Z         >>> # xdoctest: +SKIP("distributed")
2025-08-26T19:47:09.9914270Z         >>> # both workers
2025-08-26T19:47:09.9914320Z         >>> def add(x, y):
2025-08-26T19:47:09.9914400Z         >>>     print(x)  # tensor([1., 1.], device='cuda:1')
2025-08-26T19:47:09.9914460Z         >>>     return x + y, (x + y).to(2)
2025-08-26T19:47:09.9914500Z         >>>
2025-08-26T19:47:09.9914590Z         >>> # on worker 0
2025-08-26T19:47:09.9914680Z         >>> options = TensorPipeRpcBackendOptions(
2025-08-26T19:47:09.9914740Z         >>>     num_worker_threads=8,
2025-08-26T19:47:09.9914830Z         >>>     device_maps={"worker1": {0: 1}}
2025-08-26T19:47:09.9914910Z         >>> # maps worker0's cuda:0 to worker1's cuda:1
2025-08-26T19:47:09.9914950Z         >>> )
2025-08-26T19:47:09.9915030Z         >>> options.set_device_map("worker1", {1: 2})
2025-08-26T19:47:09.9915110Z         >>> # maps worker0's cuda:1 to worker1's cuda:2
2025-08-26T19:47:09.9915150Z         >>>
2025-08-26T19:47:09.9915200Z         >>> rpc.init_rpc(
2025-08-26T19:47:09.9915240Z         >>>     "worker0",
2025-08-26T19:47:09.9915290Z         >>>     rank=0,
2025-08-26T19:47:09.9915330Z         >>>     world_size=2,
2025-08-26T19:47:09.9915410Z         >>>     backend=rpc.BackendType.TENSORPIPE,
2025-08-26T19:47:09.9915470Z         >>>     rpc_backend_options=options
2025-08-26T19:47:09.9915510Z         >>> )
2025-08-26T19:47:09.9915550Z         >>>
2025-08-26T19:47:09.9915600Z         >>> x = torch.ones(2)
2025-08-26T19:47:09.9915700Z         >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1))
2025-08-26T19:47:09.9915820Z         >>> # The first argument will be moved to cuda:1 on worker1. When
2025-08-26T19:47:09.9915960Z         >>> # sending the return value back, it will follow the invert of
2025-08-26T19:47:09.9916070Z         >>> # the device map, and hence will be moved back to cuda:0 and
2025-08-26T19:47:09.9916120Z         >>> # cuda:1 on worker0
2025-08-26T19:47:09.9916210Z         >>> print(rets[0])  # tensor([2., 2.], device='cuda:0')
2025-08-26T19:47:09.9916300Z         >>> print(rets[1])  # tensor([2., 2.], device='cuda:1')
2025-08-26T19:47:09.9916340Z     
2025-08-26T19:47:09.9916500Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9916540Z     
2025-08-26T19:47:09.9916590Z       warnings.warn(msg)
2025-08-26T19:47:09.9916630Z     
2025-08-26T19:47:09.9916730Z --- Parse Warning: 95 / 146 ---
2025-08-26T19:47:09.9917510Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_server_process_global_profile in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19.
2025-08-26T19:47:09.9917670Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9917710Z     
2025-08-26T19:47:09.9917830Z     It has the same API as ``torch.autograd.profiler.profile`` class,
2025-08-26T19:47:09.9918000Z     except that it enables profiling on all threads running RPC server request callbacks.
2025-08-26T19:47:09.9918040Z     
2025-08-26T19:47:09.9918210Z     Context manager that manages autograd profiler state and holds a summary of results.
2025-08-26T19:47:09.9918350Z     Under the hood it just records events of functions being executed in C++ and
2025-08-26T19:47:09.9918490Z     exposes those events to Python. You can wrap any code into it and it will
2025-08-26T19:47:09.9918560Z     only report runtime of PyTorch functions.
2025-08-26T19:47:09.9918730Z     Note: profiler is thread local and is automatically propagated into the async tasks
2025-08-26T19:47:09.9918770Z     
2025-08-26T19:47:09.9918820Z     Args:
2025-08-26T19:47:09.9918980Z         enabled (bool, optional): Setting this to False makes this context manager a no-op.
2025-08-26T19:47:09.9919030Z             Default: ``True``.
2025-08-26T19:47:09.9919070Z     
2025-08-26T19:47:09.9919240Z         use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API.
2025-08-26T19:47:09.9919360Z             Adds approximately 4us of overhead to each tensor operation.
2025-08-26T19:47:09.9919410Z             Default: ``False``
2025-08-26T19:47:09.9919460Z     
2025-08-26T19:47:09.9919670Z         record_shapes (bool, optional): If shapes recording is set, information
2025-08-26T19:47:09.9919820Z             about input dimensions will be collected. This allows one to see which
2025-08-26T19:47:09.9919950Z             dimensions have been used under the hood and further group by them
2025-08-26T19:47:09.9920120Z             using prof.key_averages(group_by_input_shape=True). Please note that
2025-08-26T19:47:09.9920260Z             shape recording might skew your profiling data. It is recommended to
2025-08-26T19:47:09.9920400Z             use separate runs with and without shape recording to validate the timing.
2025-08-26T19:47:09.9920530Z             Most likely the skew will be negligible for bottom most events (in a case
2025-08-26T19:47:09.9920670Z             of nested function calls). But for higher level functions the total
2025-08-26T19:47:09.9920790Z             self cpu time might be artificially increased because of the shape
2025-08-26T19:47:09.9920840Z             collection.
2025-08-26T19:47:09.9920880Z     
2025-08-26T19:47:09.9921040Z         profile_memory (bool, optional): Whether to report memory usage, default: ``False``
2025-08-26T19:47:09.9921080Z     
2025-08-26T19:47:09.9921130Z     .. warning::
2025-08-26T19:47:09.9921260Z         Enabling memory profiling incurs additional profiler overhead
2025-08-26T19:47:09.9921340Z     
2025-08-26T19:47:09.9921390Z     .. warning::
2025-08-26T19:47:09.9921560Z         Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`),
2025-08-26T19:47:09.9921680Z         one cannot use the profiler with ``use_cuda = True`` to benchmark
2025-08-26T19:47:09.9921830Z         DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading,
2025-08-26T19:47:09.9921930Z         please use ``use_cuda = False`` or ``num_workers = 0``.
2025-08-26T19:47:09.9921970Z     
2025-08-26T19:47:09.9922010Z     Example:
2025-08-26T19:47:09.9922070Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9922120Z         >>> # On worker 0:
2025-08-26T19:47:09.9922170Z         >>> import torch
2025-08-26T19:47:09.9922240Z         >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:09.9922330Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-26T19:47:09.9922400Z         >>> x, y = torch.tensor(1), torch.tensor(2)
2025-08-26T19:47:09.9922470Z         >>> outer_profile_rref = rpc.remote(
2025-08-26T19:47:09.9922570Z         ...     dst_worker_name, rpc._server_process_global_profile
2025-08-26T19:47:09.9922610Z         ... )
2025-08-26T19:47:09.9922690Z         >>> outer_profile_rref.rpc_sync().__enter__()
2025-08-26T19:47:09.9922780Z         >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y))
2025-08-26T19:47:09.9922850Z         >>> inner_profile_rref = rpc.remote(
2025-08-26T19:47:09.9922940Z         ...     dst_worker_name, rpc._server_process_global_profile
2025-08-26T19:47:09.9922980Z         ... )
2025-08-26T19:47:09.9923060Z         >>> inner_profile_rref.rpc_sync().__enter__()
2025-08-26T19:47:09.9923150Z         >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y))
2025-08-26T19:47:09.9923260Z         >>> inner_profile_rref.rpc_sync().__exit__(None, None, None)
2025-08-26T19:47:09.9923360Z         >>> outer_profile_rref.rpc_sync().__exit__(None, None, None)
2025-08-26T19:47:09.9923460Z         >>> print(inner_profile_rref.rpc_sync().key_averages())
2025-08-26T19:47:09.9923610Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-26T19:47:09.9923800Z         Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-08-26T19:47:09.9923940Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-26T19:47:09.9924070Z         sub        85.06%           76.275us         100.00%          89.667us         89.667us         1
2025-08-26T19:47:09.9924180Z         empty      14.94%           13.392us         14.94%           13.392us         13.392us         1
2025-08-26T19:47:09.9924380Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-26T19:47:09.9924440Z         Self CPU time total: 89.667us
2025-08-26T19:47:09.9924560Z         >>> print(outer_profile_rref.rpc_sync().key_averages())
2025-08-26T19:47:09.9924700Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-26T19:47:09.9924880Z         Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-08-26T19:47:09.9925020Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-26T19:47:09.9925130Z         sub        35.65%           76.275us         41.91%           89.667us         89.667us         1
2025-08-26T19:47:09.9925250Z         empty      12.67%           27.101us         12.67%           27.101us         13.551us         2
2025-08-26T19:47:09.9925360Z         add        51.68%           110.550us        58.09%           124.259us        124.259us        1
2025-08-26T19:47:09.9925500Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-26T19:47:09.9925590Z         Self CPU time total: 213.926us
2025-08-26T19:47:09.9925650Z         >>> rpc.shutdown()
2025-08-26T19:47:09.9925690Z     
2025-08-26T19:47:09.9925740Z         >>> # On worker 1:
2025-08-26T19:47:09.9925810Z         >>> import torch.distributed.rpc as rpc
2025-08-26T19:47:09.9925900Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-26T19:47:09.9926000Z         >>> # wait for worker 0 to finish work, and then shutdown.
2025-08-26T19:47:09.9926050Z         >>> rpc.shutdown()
2025-08-26T19:47:09.9926090Z     
2025-08-26T19:47:09.9926240Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9926280Z     
2025-08-26T19:47:09.9926340Z       warnings.warn(msg)
2025-08-26T19:47:09.9926380Z     
2025-08-26T19:47:09.9926480Z --- Parse Warning: 96 / 146 ---
2025-08-26T19:47:09.9927140Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=record_function in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/profiler.py line=734.
2025-08-26T19:47:09.9927300Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9927530Z     Context manager/function decorator that adds a label to a code block/function when running autograd profiler.
2025-08-26T19:47:09.9927640Z         Label will only appear if CPU activity tracing is enabled.
2025-08-26T19:47:09.9927680Z     
2025-08-26T19:47:09.9927760Z         It is useful when tracing the code profile.
2025-08-26T19:47:09.9927800Z     
2025-08-26T19:47:09.9927840Z         Args:
2025-08-26T19:47:09.9927930Z             name (str): Label assigned to the block of code.
2025-08-26T19:47:09.9928050Z             node_id (int): ID of node, for distributed profiling. Unset in
2025-08-26T19:47:09.9928110Z             non-distributed cases.
2025-08-26T19:47:09.9928150Z     
2025-08-26T19:47:09.9928190Z         Example:
2025-08-26T19:47:09.9928300Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD_PROFILER)
2025-08-26T19:47:09.9928390Z             >>> x = torch.randn((1, 1), requires_grad=True)
2025-08-26T19:47:09.9928480Z             >>> with torch.autograd.profiler.profile() as prof:
2025-08-26T19:47:09.9928530Z             ...     y = x**2
2025-08-26T19:47:09.9928630Z             ...     with torch.autograd.profiler.record_function(
2025-08-26T19:47:09.9928680Z             ...         "label-z"
2025-08-26T19:47:09.9928740Z             ...     ):  # label the block
2025-08-26T19:47:09.9928790Z             ...         z = y**3
2025-08-26T19:47:09.9928840Z             ...     y.backward()
2025-08-26T19:47:09.9928940Z             >>> # xdoctest: +IGNORE_WANT
2025-08-26T19:47:09.9929030Z             >>> # NOTE: some columns were removed for brevity
2025-08-26T19:47:09.9929150Z             >>> print(prof.key_averages().table(sort_by="self_cpu_time_total"))
2025-08-26T19:47:09.9929300Z             -----------------------------------  ---------------  ---------------  ---------------
2025-08-26T19:47:09.9929420Z             Name                                 Self CPU total %  CPU time avg     Number of Calls
2025-08-26T19:47:09.9929540Z             -----------------------------------  ---------------  ---------------  ---------------
2025-08-26T19:47:09.9929620Z             pow                                  60.77%           47.470us         3
2025-08-26T19:47:09.9929710Z             mul                                  21.73%           25.465us         2
2025-08-26T19:47:09.9929820Z             PowBackward0                         12.03%           121.891us        1
2025-08-26T19:47:09.9929950Z             torch::autograd::AccumulateGrad      2.70%            6.324us          1
2025-08-26T19:47:09.9930040Z             label-z                              2.13%            12.421us         1
2025-08-26T19:47:09.9930160Z             torch::autograd::GraphRoot           0.64%            1.503us          1
2025-08-26T19:47:09.9930310Z             -----------------------------------  ---------------  ---------------  ---------------
2025-08-26T19:47:09.9930380Z             Self CPU time total: 234.344us
2025-08-26T19:47:09.9930440Z             CUDA time total: 0.000us
2025-08-26T19:47:09.9930470Z     
2025-08-26T19:47:09.9930520Z         
2025-08-26T19:47:09.9930670Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9930710Z     
2025-08-26T19:47:09.9930760Z       warnings.warn(msg)
2025-08-26T19:47:09.9930800Z     
2025-08-26T19:47:09.9930900Z --- Parse Warning: 97 / 146 ---
2025-08-26T19:47:09.9931620Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assoc_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=245.
2025-08-26T19:47:09.9931780Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9931900Z     Return a new dict with new, potentially nested, key value pair
2025-08-26T19:47:09.9931940Z     
2025-08-26T19:47:09.9931990Z         >>> purchase = {
2025-08-26T19:47:09.9932040Z         ...     "name": "Alice",
2025-08-26T19:47:09.9932150Z         ...     "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-08-26T19:47:09.9932220Z         ...     "credit card": "5555-1234-1234-1234",
2025-08-26T19:47:09.9932270Z         ... }
2025-08-26T19:47:09.9932390Z         >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00])  # doctest: +SKIP
2025-08-26T19:47:09.9932460Z         {'credit card': '5555-1234-1234-1234',
2025-08-26T19:47:09.9932510Z          'name': 'Alice',
2025-08-26T19:47:09.9932610Z          'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}}
2025-08-26T19:47:09.9932650Z         
2025-08-26T19:47:09.9932800Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9932840Z     
2025-08-26T19:47:09.9932890Z       warnings.warn(msg)
2025-08-26T19:47:09.9932930Z     
2025-08-26T19:47:09.9933030Z --- Parse Warning: 98 / 146 ---
2025-08-26T19:47:09.9933750Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=update_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=261.
2025-08-26T19:47:09.9933900Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9934030Z     Update value in a (potentially) nested dictionary
2025-08-26T19:47:09.9934070Z     
2025-08-26T19:47:09.9934120Z         inputs:
2025-08-26T19:47:09.9934180Z         d - dictionary on which to operate
2025-08-26T19:47:09.9934340Z         keys - list or tuple giving the location of the value to be changed in d
2025-08-26T19:47:09.9934410Z         func - function to operate on that value
2025-08-26T19:47:09.9934450Z     
2025-08-26T19:47:09.9934570Z         If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the
2025-08-26T19:47:09.9934710Z         original dictionary with v replaced by func(v), but does not mutate the
2025-08-26T19:47:09.9934770Z         original dictionary.
2025-08-26T19:47:09.9934810Z     
2025-08-26T19:47:09.9934940Z         If k0 is not a key in d, update_in creates nested dictionaries to the depth
2025-08-26T19:47:09.9935070Z         specified by the keys, with the innermost value set to func(default).
2025-08-26T19:47:09.9935120Z     
2025-08-26T19:47:09.9935180Z         >>> inc = lambda x: x + 1
2025-08-26T19:47:09.9935240Z         >>> update_in({"a": 0}, ["a"], inc)
2025-08-26T19:47:09.9935280Z         {'a': 1}
2025-08-26T19:47:09.9935320Z     
2025-08-26T19:47:09.9935380Z         >>> transaction = {
2025-08-26T19:47:09.9935430Z         ...     "name": "Alice",
2025-08-26T19:47:09.9935570Z         ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-08-26T19:47:09.9935640Z         ...     "credit card": "5555-1234-1234-1234",
2025-08-26T19:47:09.9935680Z         ... }
2025-08-26T19:47:09.9935810Z         >>> update_in(transaction, ["purchase", "costs"], sum)  # doctest: +SKIP
2025-08-26T19:47:09.9935870Z         {'credit card': '5555-1234-1234-1234',
2025-08-26T19:47:09.9935920Z          'name': 'Alice',
2025-08-26T19:47:09.9936020Z          'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}}
2025-08-26T19:47:09.9936060Z     
2025-08-26T19:47:09.9936140Z         >>> # updating a value when k0 is not in d
2025-08-26T19:47:09.9936220Z         >>> update_in({}, [1, 2, 3], str, default="bar")
2025-08-26T19:47:09.9936270Z         {1: {2: {3: 'bar'}}}
2025-08-26T19:47:09.9936330Z         >>> update_in({1: "foo"}, [2, 3, 4], inc, 0)
2025-08-26T19:47:09.9936390Z         {1: 'foo', 2: {3: {4: 1}}}
2025-08-26T19:47:09.9936430Z         
2025-08-26T19:47:09.9936580Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9936620Z     
2025-08-26T19:47:09.9936670Z       warnings.warn(msg)
2025-08-26T19:47:09.9936710Z     
2025-08-26T19:47:09.9936810Z --- Parse Warning: 99 / 146 ---
2025-08-26T19:47:09.9937520Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=320.
2025-08-26T19:47:09.9937680Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9937780Z     Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys.
2025-08-26T19:47:09.9937820Z     
2025-08-26T19:47:09.9937930Z         If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless
2025-08-26T19:47:09.9938050Z         ``no_default`` is specified, then it raises KeyError or IndexError.
2025-08-26T19:47:09.9938090Z     
2025-08-26T19:47:09.9938220Z         ``get_in`` is a generalization of ``operator.getitem`` for nested data
2025-08-26T19:47:09.9938300Z         structures such as dictionaries and lists.
2025-08-26T19:47:09.9938340Z     
2025-08-26T19:47:09.9938390Z         >>> transaction = {
2025-08-26T19:47:09.9938440Z         ...     "name": "Alice",
2025-08-26T19:47:09.9938550Z         ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-08-26T19:47:09.9938620Z         ...     "credit card": "5555-1234-1234-1234",
2025-08-26T19:47:09.9938660Z         ... }
2025-08-26T19:47:09.9938810Z         >>> get_in(["purchase", "items", 0], transaction)
2025-08-26T19:47:09.9938860Z         'Apple'
2025-08-26T19:47:09.9938930Z         >>> get_in(["name"], transaction)
2025-08-26T19:47:09.9939000Z         'Alice'
2025-08-26T19:47:09.9939080Z         >>> get_in(["purchase", "total"], transaction)
2025-08-26T19:47:09.9939170Z         >>> get_in(["purchase", "items", "apple"], transaction)
2025-08-26T19:47:09.9939260Z         >>> get_in(["purchase", "items", 10], transaction)
2025-08-26T19:47:09.9939340Z         >>> get_in(["purchase", "total"], transaction, 0)
2025-08-26T19:47:09.9939380Z         0
2025-08-26T19:47:09.9939440Z         >>> get_in(["y"], {}, no_default=True)
2025-08-26T19:47:09.9939500Z         Traceback (most recent call last):
2025-08-26T19:47:09.9939550Z             ...
2025-08-26T19:47:09.9939590Z         KeyError: 'y'
2025-08-26T19:47:09.9939630Z     
2025-08-26T19:47:09.9939670Z         See Also:
2025-08-26T19:47:09.9939720Z             itertoolz.get
2025-08-26T19:47:09.9939780Z             operator.getitem
2025-08-26T19:47:09.9939820Z         
2025-08-26T19:47:09.9939970Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9940010Z     
2025-08-26T19:47:09.9940060Z       warnings.warn(msg)
2025-08-26T19:47:09.9940100Z     
2025-08-26T19:47:09.9940240Z --- Parse Warning: 100 / 146 ---
2025-08-26T19:47:09.9940960Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=groupby in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=373.
2025-08-26T19:47:09.9941110Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9941180Z     Group a collection by a key function
2025-08-26T19:47:09.9941220Z     
2025-08-26T19:47:09.9941320Z         >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"]
2025-08-26T19:47:09.9941390Z         >>> groupby(len, names)  # doctest: +SKIP
2025-08-26T19:47:09.9941490Z         {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']}
2025-08-26T19:47:09.9941530Z     
2025-08-26T19:47:09.9941590Z         >>> iseven = lambda x: x % 2 == 0
2025-08-26T19:47:09.9941700Z         >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8])  # doctest: +SKIP
2025-08-26T19:47:09.9941760Z         {False: [1, 3, 5, 7], True: [2, 4, 6, 8]}
2025-08-26T19:47:09.9941810Z     
2025-08-26T19:47:09.9941890Z         Non-callable keys imply grouping on a member.
2025-08-26T19:47:09.9941930Z     
2025-08-26T19:47:09.9941970Z         >>> groupby(
2025-08-26T19:47:09.9942020Z         ...     "gender",
2025-08-26T19:47:09.9942060Z         ...     [
2025-08-26T19:47:09.9942130Z         ...         {"name": "Alice", "gender": "F"},
2025-08-26T19:47:09.9942200Z         ...         {"name": "Bob", "gender": "M"},
2025-08-26T19:47:09.9942270Z         ...         {"name": "Charlie", "gender": "M"},
2025-08-26T19:47:09.9942310Z         ...     ],
2025-08-26T19:47:09.9942360Z         ... )  # doctest:+SKIP
2025-08-26T19:47:09.9942430Z         {'F': [{'gender': 'F', 'name': 'Alice'}],
2025-08-26T19:47:09.9942500Z          'M': [{'gender': 'M', 'name': 'Bob'},
2025-08-26T19:47:09.9942570Z                {'gender': 'M', 'name': 'Charlie'}]}
2025-08-26T19:47:09.9942610Z     
2025-08-26T19:47:09.9942690Z         Not to be confused with ``itertools.groupby``
2025-08-26T19:47:09.9942730Z     
2025-08-26T19:47:09.9942770Z         See Also:
2025-08-26T19:47:09.9942820Z             countby
2025-08-26T19:47:09.9942850Z         
2025-08-26T19:47:09.9943000Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9943040Z     
2025-08-26T19:47:09.9943100Z       warnings.warn(msg)
2025-08-26T19:47:09.9943130Z     
2025-08-26T19:47:09.9943230Z --- Parse Warning: 101 / 146 ---
2025-08-26T19:47:09.9943940Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SequentialLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=808.
2025-08-26T19:47:09.9944120Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9944320Z     Contains a list of schedulers expected to be called sequentially during the optimization process.
2025-08-26T19:47:09.9944360Z     
2025-08-26T19:47:09.9944570Z         Specifically, the schedulers will be called according to the milestone points, which should provide exact
2025-08-26T19:47:09.9944710Z         intervals by which each scheduler should be called at a given epoch.
2025-08-26T19:47:09.9944740Z     
2025-08-26T19:47:09.9944790Z         Args:
2025-08-26T19:47:09.9944870Z             optimizer (Optimizer): Wrapped optimizer.
2025-08-26T19:47:09.9944950Z             schedulers (list): List of chained schedulers.
2025-08-26T19:47:09.9945090Z             milestones (list): List of integers that reflects milestone points.
2025-08-26T19:47:09.9945190Z             last_epoch (int): The index of last epoch. Default: -1.
2025-08-26T19:47:09.9945230Z     
2025-08-26T19:47:09.9945270Z         Example:
2025-08-26T19:47:09.9945330Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9945440Z             >>> # Assuming optimizer uses lr = 0.05 for all groups
2025-08-26T19:47:09.9945510Z             >>> # lr = 0.005     if epoch == 0
2025-08-26T19:47:09.9945570Z             >>> # lr = 0.005     if epoch == 1
2025-08-26T19:47:09.9945630Z             >>> # lr = 0.005     if epoch == 2
2025-08-26T19:47:09.9945670Z             >>> # ...
2025-08-26T19:47:09.9945730Z             >>> # lr = 0.05      if epoch == 20
2025-08-26T19:47:09.9945790Z             >>> # lr = 0.045     if epoch == 21
2025-08-26T19:47:09.9945850Z             >>> # lr = 0.0405    if epoch == 22
2025-08-26T19:47:09.9945980Z             >>> scheduler1 = ConstantLR(optimizer, factor=0.1, total_iters=20)
2025-08-26T19:47:09.9946070Z             >>> scheduler2 = ExponentialLR(optimizer, gamma=0.9)
2025-08-26T19:47:09.9946130Z             >>> scheduler = SequentialLR(
2025-08-26T19:47:09.9946190Z             ...     optimizer,
2025-08-26T19:47:09.9946270Z             ...     schedulers=[scheduler1, scheduler2],
2025-08-26T19:47:09.9946320Z             ...     milestones=[20],
2025-08-26T19:47:09.9946360Z             ... )
2025-08-26T19:47:09.9946420Z             >>> for epoch in range(100):
2025-08-26T19:47:09.9946470Z             >>>     train(...)
2025-08-26T19:47:09.9946520Z             >>>     validate(...)
2025-08-26T19:47:09.9946580Z             >>>     scheduler.step()
2025-08-26T19:47:09.9946610Z     
2025-08-26T19:47:09.9946730Z         .. image:: ../scripts/lr_scheduler_images/SequentialLR.png
2025-08-26T19:47:09.9946770Z         
2025-08-26T19:47:09.9946920Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9946960Z     
2025-08-26T19:47:09.9947010Z       warnings.warn(msg)
2025-08-26T19:47:09.9947050Z     
2025-08-26T19:47:09.9947150Z --- Parse Warning: 102 / 146 ---
2025-08-26T19:47:09.9947820Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1233.
2025-08-26T19:47:09.9947970Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:09.9948080Z     Reduce learning rate when a metric has stopped improving.
2025-08-26T19:47:09.9948120Z     
2025-08-26T19:47:09.9948240Z         Models often benefit from reducing the learning rate by a factor
2025-08-26T19:47:09.9948350Z         of 2-10 once learning stagnates. This scheduler reads a metrics
2025-08-26T19:47:09.9948470Z         quantity and if no improvement is seen for a 'patience' number
2025-08-26T19:47:09.9948590Z         of epochs, the learning rate is reduced.
2025-08-26T19:47:09.9948640Z     
2025-08-26T19:47:09.9948680Z         Args:
2025-08-26T19:47:09.9948780Z             optimizer (Optimizer): Wrapped optimizer.
2025-08-26T19:47:09.9948880Z             mode (str): One of `min`, `max`. In `min` mode, lr will
2025-08-26T19:47:09.9948980Z                 be reduced when the quantity monitored has stopped
2025-08-26T19:47:09.9949100Z                 decreasing; in `max` mode it will be reduced when the
2025-08-26T19:47:09.9949220Z                 quantity monitored has stopped increasing. Default: 'min'.
2025-08-26T19:47:09.9949320Z             factor (float): Factor by which the learning rate will be
2025-08-26T19:47:09.9949410Z                 reduced. new_lr = lr * factor. Default: 0.1.
2025-08-26T19:47:09.9949540Z             patience (int): The number of allowed epochs with no improvement after
2025-08-26T19:47:09.9949610Z                 which the learning rate will be reduced.
2025-08-26T19:47:09.9949750Z                 For example, consider the case of having no patience (`patience = 0`).
2025-08-26T19:47:09.9949970Z                 In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-08-26T19:47:09.9950100Z                 In the second epoch, if the performance is worse than the baseline,
2025-08-26T19:47:09.9950220Z                 we have what is considered an intolerable epoch.
2025-08-26T19:47:09.9950390Z                 Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-08-26T19:47:09.9950490Z                 the learning rate is reduced at the end of this epoch.
2025-08-26T19:47:09.9950680Z                 From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-08-26T19:47:09.9950870Z                 if the performance is worse than the baseline. If the performance improves or remains the same,
2025-08-26T19:47:09.9950950Z                 the learning rate is not adjusted.
2025-08-26T19:47:09.9951000Z                 Default: 10.
2025-08-26T19:47:09.9951120Z             threshold (float): Threshold for measuring the new optimum,
2025-08-26T19:47:09.9951220Z                 to only focus on significant changes. Default: 1e-4.
2025-08-26T19:47:09.9951330Z             threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-08-26T19:47:09.9951420Z                 dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-08-26T19:47:09.9951510Z                 mode or best * ( 1 - threshold ) in `min` mode.
2025-08-26T19:47:09.9951610Z                 In `abs` mode, dynamic_threshold = best + threshold in
2025-08-26T19:47:09.9951720Z                 `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-08-26T19:47:09.9951830Z             cooldown (int): Number of epochs to wait before resuming
2025-08-26T19:47:09.9951930Z                 normal operation after lr has been reduced. Default: 0.
2025-08-26T19:47:09.9952040Z             min_lr (float or list): A scalar or a list of scalars. A
2025-08-26T19:47:09.9952130Z                 lower bound on the learning rate of all param groups
2025-08-26T19:47:09.9952210Z                 or each group respectively. Default: 0.
2025-08-26T19:47:09.9952320Z             eps (float): Minimal decay applied to lr. If the difference
2025-08-26T19:47:09.9952430Z                 between new and old lr is smaller than eps, the update is
2025-08-26T19:47:09.9952490Z                 ignored. Default: 1e-8.
2025-08-26T19:47:09.9952530Z     
2025-08-26T19:47:09.9952570Z         Example:
2025-08-26T19:47:09.9952630Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9952770Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-08-26T19:47:09.9952870Z             >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-08-26T19:47:09.9952920Z             >>> for epoch in range(10):
2025-08-26T19:47:09.9952970Z             >>>     train(...)
2025-08-26T19:47:09.9953070Z             >>>     val_loss = validate(...)
2025-08-26T19:47:09.9953170Z             >>> # Note that step should be called after validate()
2025-08-26T19:47:09.9953230Z             >>>     scheduler.step(val_loss)
2025-08-26T19:47:09.9953290Z     
2025-08-26T19:47:09.9953410Z         .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-08-26T19:47:09.9953450Z         
2025-08-26T19:47:09.9953700Z     Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-08-26T19:47:09.9953730Z     
2025-08-26T19:47:09.9953800Z         scheduler.step(val_loss)
2025-08-26T19:47:09.9953840Z        ^
2025-08-26T19:47:09.9953890Z       warnings.warn(msg)
2025-08-26T19:47:09.9953920Z     
2025-08-26T19:47:09.9954030Z --- Parse Warning: 103 / 146 ---
2025-08-26T19:47:09.9954680Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CyclicLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1430.
2025-08-26T19:47:09.9954840Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9955030Z     Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR).
2025-08-26T19:47:09.9955090Z     
2025-08-26T19:47:09.9955260Z         The policy cycles the learning rate between two boundaries with a constant frequency,
2025-08-26T19:47:09.9955420Z         as detailed in the paper `Cyclical Learning Rates for Training Neural Networks`_.
2025-08-26T19:47:09.9955560Z         The distance between the two boundaries can be scaled on a per-iteration
2025-08-26T19:47:09.9955610Z         or per-cycle basis.
2025-08-26T19:47:09.9955650Z     
2025-08-26T19:47:09.9955790Z         Cyclical learning rate policy changes the learning rate after every batch.
2025-08-26T19:47:09.9955920Z         `step` should be called after a batch has been used for training.
2025-08-26T19:47:09.9955950Z     
2025-08-26T19:47:09.9956080Z         This class has three built-in policies, as put forth in the paper:
2025-08-26T19:47:09.9956120Z     
2025-08-26T19:47:09.9956250Z         * "triangular": A basic triangular cycle without amplitude scaling.
2025-08-26T19:47:09.9956430Z         * "triangular2": A basic triangular cycle that scales initial amplitude by half each cycle.
2025-08-26T19:47:09.9956620Z         * "exp_range": A cycle that scales initial amplitude by :math:`\text{gamma}^{\text{cycle iterations}}`
2025-08-26T19:47:09.9956680Z           at each cycle iteration.
2025-08-26T19:47:09.9956720Z     
2025-08-26T19:47:09.9956860Z         This implementation was adapted from the github repo: `bckenstler/CLR`_
2025-08-26T19:47:09.9956900Z     
2025-08-26T19:47:09.9956950Z         Args:
2025-08-26T19:47:09.9957030Z             optimizer (Optimizer): Wrapped optimizer.
2025-08-26T19:47:09.9957140Z             base_lr (float or list): Initial learning rate which is the
2025-08-26T19:47:09.9957250Z                 lower boundary in the cycle for each parameter group.
2025-08-26T19:47:09.9957370Z             max_lr (float or list): Upper learning rate boundaries in the cycle
2025-08-26T19:47:09.9957450Z                 for each parameter group. Functionally,
2025-08-26T19:47:09.9957550Z                 it defines the cycle amplitude (max_lr - base_lr).
2025-08-26T19:47:09.9957630Z                 The lr at any cycle is the sum of base_lr
2025-08-26T19:47:09.9957710Z                 and some scaling of the amplitude; therefore
2025-08-26T19:47:09.9957800Z                 max_lr may not actually be reached depending on
2025-08-26T19:47:09.9957860Z                 scaling function.
2025-08-26T19:47:09.9957970Z             step_size_up (int): Number of training iterations in the
2025-08-26T19:47:09.9958040Z                 increasing half of a cycle. Default: 2000
2025-08-26T19:47:09.9958220Z             step_size_down (int): Number of training iterations in the
2025-08-26T19:47:09.9958320Z                 decreasing half of a cycle. If step_size_down is None,
2025-08-26T19:47:09.9958410Z                 it is set to step_size_up. Default: None
2025-08-26T19:47:09.9958540Z             mode (str): One of {triangular, triangular2, exp_range}.
2025-08-26T19:47:09.9958630Z                 Values correspond to policies detailed above.
2025-08-26T19:47:09.9958720Z                 If scale_fn is not None, this argument is ignored.
2025-08-26T19:47:09.9958780Z                 Default: 'triangular'
2025-08-26T19:47:09.9958880Z             gamma (float): Constant in 'exp_range' scaling function:
2025-08-26T19:47:09.9958940Z                 gamma**(cycle iterations)
2025-08-26T19:47:09.9959000Z                 Default: 1.0
2025-08-26T19:47:09.9959110Z             scale_fn (function): Custom scaling policy defined by a single
2025-08-26T19:47:09.9959180Z                 argument lambda function, where
2025-08-26T19:47:09.9959260Z                 0 <= scale_fn(x) <= 1 for all x >= 0.
2025-08-26T19:47:09.9959330Z                 If specified, then 'mode' is ignored.
2025-08-26T19:47:09.9959380Z                 Default: None
2025-08-26T19:47:09.9959460Z             scale_mode (str): {'cycle', 'iterations'}.
2025-08-26T19:47:09.9959540Z                 Defines whether scale_fn is evaluated on
2025-08-26T19:47:09.9959650Z                 cycle number or cycle iterations (training
2025-08-26T19:47:09.9959720Z                 iterations since start of cycle).
2025-08-26T19:47:09.9959780Z                 Default: 'cycle'
2025-08-26T19:47:09.9959900Z             cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-08-26T19:47:09.9960020Z                 to learning rate between 'base_momentum' and 'max_momentum'.
2025-08-26T19:47:09.9960070Z                 Default: True
2025-08-26T19:47:09.9960200Z             base_momentum (float or list): Lower momentum boundaries in the cycle
2025-08-26T19:47:09.9960320Z                 for each parameter group. Note that momentum is cycled inversely
2025-08-26T19:47:09.9960420Z                 to learning rate; at the peak of a cycle, momentum is
2025-08-26T19:47:09.9960510Z                 'base_momentum' and learning rate is 'max_lr'.
2025-08-26T19:47:09.9960560Z                 Default: 0.8
2025-08-26T19:47:09.9960690Z             max_momentum (float or list): Upper momentum boundaries in the cycle
2025-08-26T19:47:09.9960770Z                 for each parameter group. Functionally,
2025-08-26T19:47:09.9960900Z                 it defines the cycle amplitude (max_momentum - base_momentum).
2025-08-26T19:47:09.9961010Z                 The momentum at any cycle is the difference of max_momentum
2025-08-26T19:47:09.9961090Z                 and some scaling of the amplitude; therefore
2025-08-26T19:47:09.9961200Z                 base_momentum may not actually be reached depending on
2025-08-26T19:47:09.9961310Z                 scaling function. Note that momentum is cycled inversely
2025-08-26T19:47:09.9961440Z                 to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-08-26T19:47:09.9961510Z                 and learning rate is 'base_lr'
2025-08-26T19:47:09.9961560Z                 Default: 0.9
2025-08-26T19:47:09.9961690Z             last_epoch (int): The index of the last batch. This parameter is used when
2025-08-26T19:47:09.9961830Z                 resuming a training job. Since `step()` should be invoked after each
2025-08-26T19:47:09.9961970Z                 batch instead of after each epoch, this number represents the total
2025-08-26T19:47:09.9965250Z                 number of *batches* computed, not the total number of epochs computed.
2025-08-26T19:47:09.9965400Z                 When last_epoch=-1, the schedule is started from the beginning.
2025-08-26T19:47:09.9965450Z                 Default: -1
2025-08-26T19:47:09.9965490Z     
2025-08-26T19:47:09.9965530Z         Example:
2025-08-26T19:47:09.9965590Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9965820Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-08-26T19:47:09.9965920Z             >>> scheduler = torch.optim.lr_scheduler.CyclicLR(
2025-08-26T19:47:09.9966000Z             ...     optimizer,
2025-08-26T19:47:09.9966050Z             ...     base_lr=0.01,
2025-08-26T19:47:09.9966110Z             ...     max_lr=0.1,
2025-08-26T19:47:09.9966170Z             ...     step_size_up=10,
2025-08-26T19:47:09.9966210Z             ... )
2025-08-26T19:47:09.9966300Z             >>> data_loader = torch.utils.data.DataLoader(...)
2025-08-26T19:47:09.9966360Z             >>> for epoch in range(10):
2025-08-26T19:47:09.9966430Z             >>>     for batch in data_loader:
2025-08-26T19:47:09.9966490Z             >>>         train_batch(...)
2025-08-26T19:47:09.9966550Z             >>>         scheduler.step()
2025-08-26T19:47:09.9966590Z     
2025-08-26T19:47:09.9966690Z         .. image:: ../scripts/lr_scheduler_images/CyclicLR.png
2025-08-26T19:47:09.9966730Z     
2025-08-26T19:47:09.9966920Z         .. _Cyclical Learning Rates for Training Neural Networks: https://arxiv.org/abs/1506.01186
2025-08-26T19:47:09.9967030Z         .. _bckenstler/CLR: https://github.com/bckenstler/CLR
2025-08-26T19:47:09.9967070Z         
2025-08-26T19:47:09.9967220Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9967280Z     
2025-08-26T19:47:09.9967340Z       warnings.warn(msg)
2025-08-26T19:47:09.9967380Z     
2025-08-26T19:47:09.9967500Z --- Parse Warning: 104 / 146 ---
2025-08-26T19:47:09.9968210Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CosineAnnealingWarmRestarts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1722.
2025-08-26T19:47:09.9968370Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9968530Z     Set the learning rate of each parameter group using a cosine annealing schedule.
2025-08-26T19:47:09.9968570Z     
2025-08-26T19:47:09.9968680Z         The :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}`
2025-08-26T19:47:09.9968820Z         is the number of epochs since the last restart and :math:`T_{i}` is the number
2025-08-26T19:47:09.9968910Z         of epochs between two warm restarts in SGDR:
2025-08-26T19:47:09.9968950Z     
2025-08-26T19:47:09.9968990Z         .. math::
2025-08-26T19:47:09.9969100Z             \eta_t = \eta_{min} + \frac{1}{2}(\eta_{max} - \eta_{min})\left(1 +
2025-08-26T19:47:09.9969190Z             \cos\left(\frac{T_{cur}}{T_{i}}\pi\right)\right)
2025-08-26T19:47:09.9969230Z     
2025-08-26T19:47:09.9969340Z         When :math:`T_{cur}=T_{i}`, set :math:`\eta_t = \eta_{min}`.
2025-08-26T19:47:09.9969450Z         When :math:`T_{cur}=0` after restart, set :math:`\eta_t=\eta_{max}`.
2025-08-26T19:47:09.9969500Z     
2025-08-26T19:47:09.9969550Z         It has been proposed in
2025-08-26T19:47:09.9969660Z         `SGDR: Stochastic Gradient Descent with Warm Restarts`_.
2025-08-26T19:47:09.9969700Z     
2025-08-26T19:47:09.9969740Z         Args:
2025-08-26T19:47:09.9969820Z             optimizer (Optimizer): Wrapped optimizer.
2025-08-26T19:47:09.9969910Z             T_0 (int): Number of iterations until the first restart.
2025-08-26T19:47:09.9970090Z             T_mult (int, optional): A factor by which :math:`T_{i}` increases after a restart. Default: 1.
2025-08-26T19:47:09.9970210Z             eta_min (float, optional): Minimum learning rate. Default: 0.
2025-08-26T19:47:09.9970340Z             last_epoch (int, optional): The index of the last epoch. Default: -1.
2025-08-26T19:47:09.9970380Z     
2025-08-26T19:47:09.9970480Z         .. _SGDR\: Stochastic Gradient Descent with Warm Restarts:
2025-08-26T19:47:09.9970550Z             https://arxiv.org/abs/1608.03983
2025-08-26T19:47:09.9970590Z     
2025-08-26T19:47:09.9970630Z         Example:
2025-08-26T19:47:09.9970730Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9970850Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.05)
2025-08-26T19:47:09.9970990Z             >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts(
2025-08-26T19:47:09.9971070Z             ...     optimizer, T_0=20
2025-08-26T19:47:09.9971120Z             ... )
2025-08-26T19:47:09.9971170Z             >>> for epoch in range(100):
2025-08-26T19:47:09.9971220Z             >>>     train(...)
2025-08-26T19:47:09.9971270Z             >>>     validate(...)
2025-08-26T19:47:09.9971330Z             >>>     scheduler.step()
2025-08-26T19:47:09.9971370Z     
2025-08-26T19:47:09.9971510Z         .. image:: ../scripts/lr_scheduler_images/CosineAnnealingWarmRestarts.png
2025-08-26T19:47:09.9971560Z         
2025-08-26T19:47:09.9971710Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9971750Z     
2025-08-26T19:47:09.9971800Z       warnings.warn(msg)
2025-08-26T19:47:09.9971840Z     
2025-08-26T19:47:09.9971940Z --- Parse Warning: 105 / 146 ---
2025-08-26T19:47:09.9972600Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=OneCycleLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1872.
2025-08-26T19:47:09.9972780Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9972970Z     Sets the learning rate of each parameter group according to the 1cycle learning rate policy.
2025-08-26T19:47:09.9973000Z     
2025-08-26T19:47:09.9973180Z         The 1cycle policy anneals the learning rate from an initial learning rate to some maximum
2025-08-26T19:47:09.9973350Z         learning rate and then from that maximum learning rate to some minimum learning rate much
2025-08-26T19:47:09.9973420Z         lower than the initial learning rate.
2025-08-26T19:47:09.9973560Z         This policy was initially described in the paper `Super-Convergence:
2025-08-26T19:47:09.9973690Z         Very Fast Training of Neural Networks Using Large Learning Rates`_.
2025-08-26T19:47:09.9973730Z     
2025-08-26T19:47:09.9973880Z         The 1cycle learning rate policy changes the learning rate after every batch.
2025-08-26T19:47:09.9974000Z         `step` should be called after a batch has been used for training.
2025-08-26T19:47:09.9974040Z     
2025-08-26T19:47:09.9974110Z         This scheduler is not chainable.
2025-08-26T19:47:09.9974150Z     
2025-08-26T19:47:09.9974290Z         Note also that the total number of steps in the cycle can be determined in one
2025-08-26T19:47:09.9974370Z         of two ways (listed in order of precedence):
2025-08-26T19:47:09.9974420Z     
2025-08-26T19:47:09.9974510Z         #. A value for total_steps is explicitly provided.
2025-08-26T19:47:09.9974620Z         #. A number of epochs (epochs) and a number of steps per epoch
2025-08-26T19:47:09.9974690Z            (steps_per_epoch) are provided.
2025-08-26T19:47:09.9974790Z            In this case, the number of total steps is inferred by
2025-08-26T19:47:09.9974860Z            total_steps = epochs * steps_per_epoch
2025-08-26T19:47:09.9974900Z     
2025-08-26T19:47:09.9975050Z         You must either provide a value for total_steps or provide a value for both
2025-08-26T19:47:09.9975110Z         epochs and steps_per_epoch.
2025-08-26T19:47:09.9975150Z     
2025-08-26T19:47:09.9975330Z         The default behaviour of this scheduler follows the fastai implementation of 1cycle, which
2025-08-26T19:47:09.9975510Z         claims that "unpublished work has shown even better results by using only two phases". To
2025-08-26T19:47:09.9975650Z         mimic the behaviour of the original paper instead, set ``three_phase=True``.
2025-08-26T19:47:09.9975690Z     
2025-08-26T19:47:09.9975730Z         Args:
2025-08-26T19:47:09.9975820Z             optimizer (Optimizer): Wrapped optimizer.
2025-08-26T19:47:09.9975980Z             max_lr (float or list): Upper learning rate boundaries in the cycle
2025-08-26T19:47:09.9976050Z                 for each parameter group.
2025-08-26T19:47:09.9976190Z             total_steps (int): The total number of steps in the cycle. Note that
2025-08-26T19:47:09.9976330Z                 if a value is not provided here, then it must be inferred by providing
2025-08-26T19:47:09.9976400Z                 a value for epochs and steps_per_epoch.
2025-08-26T19:47:09.9976460Z                 Default: None
2025-08-26T19:47:09.9976580Z             epochs (int): The number of epochs to train for. This is used along
2025-08-26T19:47:09.9976730Z                 with steps_per_epoch in order to infer the total number of steps in the cycle
2025-08-26T19:47:09.9976810Z                 if a value for total_steps is not provided.
2025-08-26T19:47:09.9976870Z                 Default: None
2025-08-26T19:47:09.9977010Z             steps_per_epoch (int): The number of steps per epoch to train for. This is
2025-08-26T19:47:09.9977140Z                 used along with epochs in order to infer the total number of steps in the
2025-08-26T19:47:09.9977240Z                 cycle if a value for total_steps is not provided.
2025-08-26T19:47:09.9977290Z                 Default: None
2025-08-26T19:47:09.9977460Z             pct_start (float): The percentage of the cycle (in number of steps) spent
2025-08-26T19:47:09.9977530Z                 increasing the learning rate.
2025-08-26T19:47:09.9977580Z                 Default: 0.3
2025-08-26T19:47:09.9977650Z             anneal_strategy (str): {'cos', 'linear'}
2025-08-26T19:47:09.9977800Z                 Specifies the annealing strategy: "cos" for cosine annealing, "linear" for
2025-08-26T19:47:09.9977850Z                 linear annealing.
2025-08-26T19:47:09.9977910Z                 Default: 'cos'
2025-08-26T19:47:09.9978030Z             cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-08-26T19:47:09.9978140Z                 to learning rate between 'base_momentum' and 'max_momentum'.
2025-08-26T19:47:09.9978190Z                 Default: True
2025-08-26T19:47:09.9978320Z             base_momentum (float or list): Lower momentum boundaries in the cycle
2025-08-26T19:47:09.9978450Z                 for each parameter group. Note that momentum is cycled inversely
2025-08-26T19:47:09.9978550Z                 to learning rate; at the peak of a cycle, momentum is
2025-08-26T19:47:09.9978630Z                 'base_momentum' and learning rate is 'max_lr'.
2025-08-26T19:47:09.9978680Z                 Default: 0.85
2025-08-26T19:47:09.9978810Z             max_momentum (float or list): Upper momentum boundaries in the cycle
2025-08-26T19:47:09.9978890Z                 for each parameter group. Functionally,
2025-08-26T19:47:09.9979000Z                 it defines the cycle amplitude (max_momentum - base_momentum).
2025-08-26T19:47:09.9979080Z                 Note that momentum is cycled inversely
2025-08-26T19:47:09.9979210Z                 to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-08-26T19:47:09.9979280Z                 and learning rate is 'base_lr'
2025-08-26T19:47:09.9979330Z                 Default: 0.95
2025-08-26T19:47:09.9979440Z             div_factor (float): Determines the initial learning rate via
2025-08-26T19:47:09.9979510Z                 initial_lr = max_lr/div_factor
2025-08-26T19:47:09.9979550Z                 Default: 25
2025-08-26T19:47:09.9979680Z             final_div_factor (float): Determines the minimum learning rate via
2025-08-26T19:47:09.9979750Z                 min_lr = initial_lr/final_div_factor
2025-08-26T19:47:09.9979800Z                 Default: 1e4
2025-08-26T19:47:09.9979950Z             three_phase (bool): If ``True``, use a third phase of the schedule to annihilate the
2025-08-26T19:47:09.9980100Z                 learning rate according to 'final_div_factor' instead of modifying the second
2025-08-26T19:47:09.9980310Z                 phase (the first two phases will be symmetrical about the step indicated by
2025-08-26T19:47:09.9980360Z                 'pct_start').
2025-08-26T19:47:09.9980500Z             last_epoch (int): The index of the last batch. This parameter is used when
2025-08-26T19:47:09.9980660Z                 resuming a training job. Since `step()` should be invoked after each
2025-08-26T19:47:09.9980800Z                 batch instead of after each epoch, this number represents the total
2025-08-26T19:47:09.9980930Z                 number of *batches* computed, not the total number of epochs computed.
2025-08-26T19:47:09.9981050Z                 When last_epoch=-1, the schedule is started from the beginning.
2025-08-26T19:47:09.9981100Z                 Default: -1
2025-08-26T19:47:09.9981140Z     
2025-08-26T19:47:09.9981180Z         Example:
2025-08-26T19:47:09.9981240Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:09.9981330Z             >>> data_loader = torch.utils.data.DataLoader(...)
2025-08-26T19:47:09.9981480Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9)
2025-08-26T19:47:09.9981570Z             >>> scheduler = torch.optim.lr_scheduler.OneCycleLR(
2025-08-26T19:47:09.9981700Z             ...     optimizer, max_lr=0.01, steps_per_epoch=len(data_loader), epochs=10
2025-08-26T19:47:09.9981750Z             ... )
2025-08-26T19:47:09.9981840Z             >>> for epoch in range(10):
2025-08-26T19:47:09.9981910Z             >>>     for batch in data_loader:
2025-08-26T19:47:09.9981960Z             >>>         train_batch(...)
2025-08-26T19:47:09.9982020Z             >>>         optimizer.step()
2025-08-26T19:47:09.9982080Z             >>>         scheduler.step()
2025-08-26T19:47:09.9982120Z     
2025-08-26T19:47:09.9982220Z         .. image:: ../scripts/lr_scheduler_images/OneCycleLR.png
2025-08-26T19:47:09.9982260Z     
2025-08-26T19:47:09.9982430Z         .. _Super-Convergence\: Very Fast Training of Neural Networks Using Large Learning Rates:
2025-08-26T19:47:09.9982500Z             https://arxiv.org/abs/1708.07120
2025-08-26T19:47:09.9982540Z         
2025-08-26T19:47:09.9982690Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9982730Z     
2025-08-26T19:47:09.9982790Z       warnings.warn(msg)
2025-08-26T19:47:09.9982830Z     
2025-08-26T19:47:09.9982920Z --- Parse Warning: 106 / 146 ---
2025-08-26T19:47:09.9983580Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=AveragedModel in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/swa_utils.py line=120.
2025-08-26T19:47:09.9983730Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9983950Z     Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA).
2025-08-26T19:47:09.9983990Z     
2025-08-26T19:47:09.9984140Z         Stochastic Weight Averaging was proposed in `Averaging Weights Leads to
2025-08-26T19:47:09.9984270Z         Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii
2025-08-26T19:47:09.9984400Z         Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson
2025-08-26T19:47:09.9984450Z         (UAI 2018).
2025-08-26T19:47:09.9984490Z     
2025-08-26T19:47:09.9984620Z         Exponential Moving Average is a variation of `Polyak averaging`_,
2025-08-26T19:47:09.9984760Z         but using exponential weights instead of equal weights across iterations.
2025-08-26T19:47:09.9984800Z     
2025-08-26T19:47:09.9984940Z         AveragedModel class creates a copy of the provided module :attr:`model`
2025-08-26T19:47:09.9985070Z         on the device :attr:`device` and allows to compute running averages of the
2025-08-26T19:47:09.9985140Z         parameters of the :attr:`model`.
2025-08-26T19:47:09.9985180Z     
2025-08-26T19:47:09.9985220Z         Args:
2025-08-26T19:47:09.9985310Z             model (torch.nn.Module): model to use with SWA/EMA
2025-08-26T19:47:09.9985500Z             device (torch.device, optional): if provided, the averaged model will be
2025-08-26T19:47:09.9985570Z                 stored on the :attr:`device`
2025-08-26T19:47:09.9985710Z             avg_fn (function, optional): the averaging function used to update
2025-08-26T19:47:09.9985840Z                 parameters; the function must take in the current value of the
2025-08-26T19:47:09.9985970Z                 :class:`AveragedModel` parameter, the current value of :attr:`model`
2025-08-26T19:47:09.9986090Z                 parameter, and the number of models already averaged; if None,
2025-08-26T19:47:09.9986190Z                 an equally weighted average is used (default: None)
2025-08-26T19:47:09.9986330Z             multi_avg_fn (function, optional): the averaging function used to update
2025-08-26T19:47:09.9986470Z                 parameters inplace; the function must take in the current values of the
2025-08-26T19:47:09.9986640Z                 :class:`AveragedModel` parameters as a list, the current values of :attr:`model`
2025-08-26T19:47:09.9986780Z                 parameters as a list, and the number of models already averaged; if None,
2025-08-26T19:47:09.9986880Z                 an equally weighted average is used (default: None)
2025-08-26T19:47:09.9987000Z             use_buffers (bool): if ``True``, it will compute running averages for
2025-08-26T19:47:09.9987170Z                 both the parameters and the buffers of the model. (default: ``False``)
2025-08-26T19:47:09.9987210Z     
2025-08-26T19:47:09.9987260Z         Example:
2025-08-26T19:47:09.9987340Z             >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:09.9987410Z             >>> loader, optimizer, model, loss_fn = ...
2025-08-26T19:47:09.9987520Z             >>> swa_model = torch.optim.swa_utils.AveragedModel(model)
2025-08-26T19:47:09.9987660Z             >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer,
2025-08-26T19:47:09.9987730Z             >>>                                     T_max=300)
2025-08-26T19:47:09.9987780Z             >>> swa_start = 160
2025-08-26T19:47:09.9987870Z             >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05)
2025-08-26T19:47:09.9987920Z             >>> for i in range(300):
2025-08-26T19:47:09.9987990Z             >>>      for input, target in loader:
2025-08-26T19:47:09.9988060Z             >>>          optimizer.zero_grad()
2025-08-26T19:47:09.9988140Z             >>>          loss_fn(model(input), target).backward()
2025-08-26T19:47:09.9988200Z             >>>          optimizer.step()
2025-08-26T19:47:09.9988260Z             >>>      if i > swa_start:
2025-08-26T19:47:09.9988340Z             >>>          swa_model.update_parameters(model)
2025-08-26T19:47:09.9988400Z             >>>          swa_scheduler.step()
2025-08-26T19:47:09.9988450Z             >>>      else:
2025-08-26T19:47:09.9988510Z             >>>          scheduler.step()
2025-08-26T19:47:09.9988550Z             >>>
2025-08-26T19:47:09.9988640Z             >>> # Update bn statistics for the swa_model at the end
2025-08-26T19:47:09.9988740Z             >>> torch.optim.swa_utils.update_bn(loader, swa_model)
2025-08-26T19:47:09.9988790Z     
2025-08-26T19:47:09.9988970Z         You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters.
2025-08-26T19:47:09.9989090Z         If no averaging function is provided, the default is to compute
2025-08-26T19:47:09.9989180Z         equally-weighted average of the weights (SWA).
2025-08-26T19:47:09.9989220Z     
2025-08-26T19:47:09.9989260Z         Example:
2025-08-26T19:47:09.9989340Z             >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:09.9989470Z             >>> # Compute exponential moving averages of the weights and buffers
2025-08-26T19:47:09.9989570Z             >>> ema_model = torch.optim.swa_utils.AveragedModel(model,
2025-08-26T19:47:09.9989710Z             >>>             torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True)
2025-08-26T19:47:09.9989750Z     
2025-08-26T19:47:09.9989830Z         .. note::
2025-08-26T19:47:09.9989970Z             When using SWA/EMA with models containing Batch Normalization you may
2025-08-26T19:47:09.9990100Z             need to update the activation statistics for Batch Normalization.
2025-08-26T19:47:09.9990260Z             This can be done either by using the :meth:`torch.optim.swa_utils.update_bn`
2025-08-26T19:47:09.9990400Z             or by setting :attr:`use_buffers` to `True`. The first approach updates the
2025-08-26T19:47:09.9990540Z             statistics in a post-training step by passing data through the model. The
2025-08-26T19:47:09.9990690Z             second does it during the parameter update phase by averaging all buffers.
2025-08-26T19:47:09.9990830Z             Empirical evidence has shown that updating the statistics in normalization
2025-08-26T19:47:09.9990970Z             layers increases accuracy, but you may wish to empirically test which
2025-08-26T19:47:09.9991070Z             approach yields the best results in your problem.
2025-08-26T19:47:09.9991110Z     
2025-08-26T19:47:09.9991150Z         .. note::
2025-08-26T19:47:09.9991310Z             :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model.
2025-08-26T19:47:09.9991350Z     
2025-08-26T19:47:09.9991390Z         .. note::
2025-08-26T19:47:09.9991540Z             When :meth:`update_parameters` is called for the first time (i.e.
2025-08-26T19:47:09.9991650Z             :attr:`n_averaged` is `0`) the parameters of `model` are copied
2025-08-26T19:47:09.9991780Z             to the parameters of :class:`AveragedModel`. For every subsequent
2025-08-26T19:47:09.9991890Z             call of :meth:`update_parameters` the function `avg_fn` is used
2025-08-26T19:47:09.9991950Z             to update the parameters.
2025-08-26T19:47:09.9991990Z     
2025-08-26T19:47:09.9992120Z         .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-08-26T19:47:09.9992190Z             https://arxiv.org/abs/1803.05407
2025-08-26T19:47:09.9992340Z         .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should
2025-08-26T19:47:09.9992380Z             Average:
2025-08-26T19:47:09.9992450Z             https://arxiv.org/abs/1806.05594
2025-08-26T19:47:09.9992570Z         .. _SWALP: Stochastic Weight Averaging in Low-Precision Training:
2025-08-26T19:47:09.9992640Z             https://arxiv.org/abs/1904.11943
2025-08-26T19:47:09.9992780Z         .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That
2025-08-26T19:47:09.9992830Z             Generalizes Well:
2025-08-26T19:47:09.9992900Z             https://arxiv.org/abs/2001.02312
2025-08-26T19:47:09.9992950Z         .. _Polyak averaging:
2025-08-26T19:47:09.9993060Z             https://paperswithcode.com/method/polyak-averaging
2025-08-26T19:47:09.9993100Z         
2025-08-26T19:47:09.9993250Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9993290Z     
2025-08-26T19:47:09.9993340Z       warnings.warn(msg)
2025-08-26T19:47:09.9993380Z     
2025-08-26T19:47:09.9993480Z --- Parse Warning: 107 / 146 ---
2025-08-26T19:47:09.9994110Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SWALR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/swa_utils.py line=375.
2025-08-26T19:47:09.9994270Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9994400Z     Anneals the learning rate in each parameter group to a fixed value.
2025-08-26T19:47:09.9994440Z     
2025-08-26T19:47:09.9994570Z         This learning rate scheduler is meant to be used with Stochastic Weight
2025-08-26T19:47:09.9994700Z         Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`).
2025-08-26T19:47:09.9994740Z     
2025-08-26T19:47:09.9994780Z         Args:
2025-08-26T19:47:09.9994930Z             optimizer (torch.optim.Optimizer): wrapped optimizer
2025-08-26T19:47:09.9995050Z             swa_lrs (float or list): the learning rate value for all param groups
2025-08-26T19:47:09.9995130Z                 together or separately for each group.
2025-08-26T19:47:09.9995270Z             annealing_epochs (int): number of epochs in the annealing phase
2025-08-26T19:47:09.9995330Z                 (default: 10)
2025-08-26T19:47:09.9995450Z             annealing_strategy (str): "cos" or "linear"; specifies the annealing
2025-08-26T19:47:09.9995580Z                 strategy: "cos" for cosine annealing, "linear" for linear annealing
2025-08-26T19:47:09.9995630Z                 (default: "cos")
2025-08-26T19:47:09.9995750Z             last_epoch (int): the index of the last epoch (default: -1)
2025-08-26T19:47:09.9995780Z     
2025-08-26T19:47:09.9995890Z         The :class:`SWALR` scheduler can be used together with other
2025-08-26T19:47:09.9996020Z         schedulers to switch to a constant learning rate late in the training
2025-08-26T19:47:09.9996080Z         as in the example below.
2025-08-26T19:47:09.9996120Z     
2025-08-26T19:47:09.9996160Z         Example:
2025-08-26T19:47:09.9996240Z             >>> # xdoctest: +SKIP("Undefined variables")
2025-08-26T19:47:09.9996310Z             >>> loader, optimizer, model = ...
2025-08-26T19:47:09.9996400Z             >>> lr_lambda = lambda epoch: 0.9
2025-08-26T19:47:09.9996530Z             >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer,
2025-08-26T19:47:09.9996590Z             >>>        lr_lambda=lr_lambda)
2025-08-26T19:47:09.9996700Z             >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer,
2025-08-26T19:47:09.9996810Z             >>>        anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05)
2025-08-26T19:47:09.9996860Z             >>> swa_start = 160
2025-08-26T19:47:09.9996910Z             >>> for i in range(300):
2025-08-26T19:47:09.9996980Z             >>>      for input, target in loader:
2025-08-26T19:47:09.9997050Z             >>>          optimizer.zero_grad()
2025-08-26T19:47:09.9997140Z             >>>          loss_fn(model(input), target).backward()
2025-08-26T19:47:09.9997190Z             >>>          optimizer.step()
2025-08-26T19:47:09.9997250Z             >>>      if i > swa_start:
2025-08-26T19:47:09.9997310Z             >>>          swa_scheduler.step()
2025-08-26T19:47:09.9997370Z             >>>      else:
2025-08-26T19:47:09.9997420Z             >>>          scheduler.step()
2025-08-26T19:47:09.9997460Z     
2025-08-26T19:47:09.9997600Z         .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-08-26T19:47:09.9997670Z             https://arxiv.org/abs/1803.05407
2025-08-26T19:47:09.9997710Z         
2025-08-26T19:47:09.9997860Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:09.9997900Z     
2025-08-26T19:47:09.9997950Z       warnings.warn(msg)
2025-08-26T19:47:09.9997990Z     
2025-08-26T19:47:09.9998090Z --- Parse Warning: 108 / 146 ---
2025-08-26T19:47:09.9998770Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Optimizer.load_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/optim/optimizer.py line=867.
2025-08-26T19:47:09.9998930Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:09.9998980Z     Load the optimizer state.
2025-08-26T19:47:09.9999020Z     
2025-08-26T19:47:09.9999060Z             Args:
2025-08-26T19:47:09.9999180Z                 state_dict (dict): optimizer state. Should be an object returned
2025-08-26T19:47:09.9999250Z                     from a call to :meth:`state_dict`.
2025-08-26T19:47:09.9999290Z     
2025-08-26T19:47:09.9999340Z             .. warning::
2025-08-26T19:47:09.9999540Z                 Make sure this method is called after initializing :class:`torch.optim.lr_scheduler.LRScheduler`,
2025-08-26T19:47:09.9999730Z                 as calling it beforehand will overwrite the loaded learning rates.
2025-08-26T19:47:09.9999770Z     
2025-08-26T19:47:09.9999820Z             .. note::
2025-08-26T19:47:10.0000020Z                 The names of the parameters (if they exist under the "param_names" key of each param group
2025-08-26T19:47:10.0000140Z                 in :meth:`state_dict`) will not affect the loading process.
2025-08-26T19:47:10.0000330Z                 To use the parameters' names for custom cases (such as when the parameters in the loaded state dict
2025-08-26T19:47:10.0000430Z                 differ from those initialized in the optimizer),
2025-08-26T19:47:10.0000610Z                 a custom ``register_load_state_dict_pre_hook`` should be implemented to adapt the loaded dict
2025-08-26T19:47:10.0000660Z                 accordingly.
2025-08-26T19:47:10.0000840Z                 If ``param_names`` exist in loaded state dict ``param_groups`` they will be saved and override
2025-08-26T19:47:10.0001030Z                 the current names, if present, in the optimizer state. If they do not exist in loaded state dict,
2025-08-26T19:47:10.0001130Z                 the optimizer ``param_names`` will remain unchanged.
2025-08-26T19:47:10.0001170Z     
2025-08-26T19:47:10.0001220Z             Example:
2025-08-26T19:47:10.0001310Z                 >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0001380Z                 >>> model = torch.nn.Linear(10, 10)
2025-08-26T19:47:10.0001480Z                 >>> optim = torch.optim.SGD(model.parameters(), lr=3e-4)
2025-08-26T19:47:10.0001580Z                 >>> scheduler1 = torch.optim.lr_scheduler.LinearLR(
2025-08-26T19:47:10.0001630Z                 ...     optim,
2025-08-26T19:47:10.0001690Z                 ...     start_factor=0.1,
2025-08-26T19:47:10.0001740Z                 ...     end_factor=1,
2025-08-26T19:47:10.0001790Z                 ...     total_iters=20,
2025-08-26T19:47:10.0001830Z                 ... )
2025-08-26T19:47:10.0001960Z                 >>> scheduler2 = torch.optim.lr_scheduler.CosineAnnealingLR(
2025-08-26T19:47:10.0002000Z                 ...     optim,
2025-08-26T19:47:10.0002060Z                 ...     T_max=80,
2025-08-26T19:47:10.0002110Z                 ...     eta_min=3e-5,
2025-08-26T19:47:10.0002160Z                 ... )
2025-08-26T19:47:10.0002250Z                 >>> lr = torch.optim.lr_scheduler.SequentialLR(
2025-08-26T19:47:10.0002300Z                 ...     optim,
2025-08-26T19:47:10.0002380Z                 ...     schedulers=[scheduler1, scheduler2],
2025-08-26T19:47:10.0002430Z                 ...     milestones=[20],
2025-08-26T19:47:10.0002480Z                 ... )
2025-08-26T19:47:10.0002570Z                 >>> lr.load_state_dict(torch.load("./save_seq.pt"))
2025-08-26T19:47:10.0002690Z                 >>> # now load the optimizer checkpoint after loading the LRScheduler
2025-08-26T19:47:10.0002800Z                 >>> optim.load_state_dict(torch.load("./save_optim.pt"))
2025-08-26T19:47:10.0002840Z     
2025-08-26T19:47:10.0002880Z             
2025-08-26T19:47:10.0003030Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0003070Z     
2025-08-26T19:47:10.0003120Z       warnings.warn(msg)
2025-08-26T19:47:10.0003160Z     
2025-08-26T19:47:10.0003260Z --- Parse Warning: 109 / 146 ---
2025-08-26T19:47:10.0003960Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SelectiveCheckpointContext in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1218.
2025-08-26T19:47:10.0004120Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0004160Z     
2025-08-26T19:47:10.0004290Z     Context passed to policy function during selective checkpointing.
2025-08-26T19:47:10.0004330Z     
2025-08-26T19:47:10.0004520Z     This class is used to pass relevant metadata to the policy function during
2025-08-26T19:47:10.0004680Z     selective checkpointing. The metadata includes whether the current invocation
2025-08-26T19:47:10.0004770Z     of the policy function is during recomputation or not.
2025-08-26T19:47:10.0004840Z     
2025-08-26T19:47:10.0004880Z     Example:
2025-08-26T19:47:10.0004940Z         >>> # xdoctest: +SKIP(stub)
2025-08-26T19:47:10.0004980Z         >>>
2025-08-26T19:47:10.0005060Z         >>> def policy_fn(ctx, op, *args, **kwargs):
2025-08-26T19:47:10.0005120Z         >>>    print(ctx.is_recompute)
2025-08-26T19:47:10.0005160Z         >>>
2025-08-26T19:47:10.0005330Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-08-26T19:47:10.0005370Z         >>>
2025-08-26T19:47:10.0005450Z         >>> out = torch.utils.checkpoint.checkpoint(
2025-08-26T19:47:10.0005500Z         >>>     fn, x, y,
2025-08-26T19:47:10.0005560Z         >>>     use_reentrant=False,
2025-08-26T19:47:10.0005620Z         >>>     context_fn=context_fn,
2025-08-26T19:47:10.0005660Z         >>> )
2025-08-26T19:47:10.0005700Z     
2025-08-26T19:47:10.0005850Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0005890Z     
2025-08-26T19:47:10.0005940Z       warnings.warn(msg)
2025-08-26T19:47:10.0006000Z     
2025-08-26T19:47:10.0006110Z --- Parse Warning: 110 / 146 ---
2025-08-26T19:47:10.0006820Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1358.
2025-08-26T19:47:10.0006970Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0007010Z     
2025-08-26T19:47:10.0007150Z     Helper to avoid recomputing certain ops during activation checkpointing.
2025-08-26T19:47:10.0007190Z     
2025-08-26T19:47:10.0007330Z     Use this with `torch.utils.checkpoint.checkpoint` to control which
2025-08-26T19:47:10.0007430Z     operations are recomputed during the backward pass.
2025-08-26T19:47:10.0007470Z     
2025-08-26T19:47:10.0007510Z     Args:
2025-08-26T19:47:10.0007580Z         policy_fn_or_list (Callable or List):
2025-08-26T19:47:10.0007680Z           - If a policy function is provided, it should accept a
2025-08-26T19:47:10.0007820Z             :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and
2025-08-26T19:47:10.0007960Z             kwargs to the op, and return a :class:`CheckpointPolicy` enum value
2025-08-26T19:47:10.0008100Z             indicating whether the execution of the op should be recomputed or not.
2025-08-26T19:47:10.0008230Z           - If a list of operations is provided, it is equivalent to a policy
2025-08-26T19:47:10.0008340Z             returning `CheckpointPolicy.MUST_SAVE` for the specified
2025-08-26T19:47:10.0008470Z             operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other
2025-08-26T19:47:10.0008520Z             operations.
2025-08-26T19:47:10.0008650Z         allow_cache_entry_mutation (bool, optional): By default, an error is
2025-08-26T19:47:10.0008780Z             raised if any tensors cached by selective activation checkpoint are
2025-08-26T19:47:10.0008910Z             mutated in order to ensure correctness. If set to `True`, this check
2025-08-26T19:47:10.0008960Z             is disabled.
2025-08-26T19:47:10.0009000Z     Returns:
2025-08-26T19:47:10.0009070Z         A tuple of two context managers.
2025-08-26T19:47:10.0009110Z     
2025-08-26T19:47:10.0009150Z     Example:
2025-08-26T19:47:10.0009210Z         >>> # xdoctest: +REQUIRES(LINUX)
2025-08-26T19:47:10.0009260Z         >>> import functools
2025-08-26T19:47:10.0009300Z         >>>
2025-08-26T19:47:10.0009380Z         >>> x = torch.rand(10, 10, requires_grad=True)
2025-08-26T19:47:10.0009450Z         >>> y = torch.rand(10, 10, requires_grad=True)
2025-08-26T19:47:10.0009540Z         >>>
2025-08-26T19:47:10.0009590Z         >>> ops_to_save = [
2025-08-26T19:47:10.0009660Z         >>>    torch.ops.aten.mm.default,
2025-08-26T19:47:10.0009700Z         >>> ]
2025-08-26T19:47:10.0009770Z         >>>
2025-08-26T19:47:10.0009850Z         >>> def policy_fn(ctx, op, *args, **kwargs):
2025-08-26T19:47:10.0009900Z         >>>    if op in ops_to_save:
2025-08-26T19:47:10.0009990Z         >>>        return CheckpointPolicy.MUST_SAVE
2025-08-26T19:47:10.0010030Z         >>>    else:
2025-08-26T19:47:10.0010120Z         >>>        return CheckpointPolicy.PREFER_RECOMPUTE
2025-08-26T19:47:10.0010150Z         >>>
2025-08-26T19:47:10.0010320Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-08-26T19:47:10.0010360Z         >>>
2025-08-26T19:47:10.0010410Z         >>> # or equivalently
2025-08-26T19:47:10.0010580Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save)
2025-08-26T19:47:10.0010620Z         >>>
2025-08-26T19:47:10.0010670Z         >>> def fn(x, y):
2025-08-26T19:47:10.0010790Z         >>>     return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y
2025-08-26T19:47:10.0010830Z         >>>
2025-08-26T19:47:10.0010920Z         >>> out = torch.utils.checkpoint.checkpoint(
2025-08-26T19:47:10.0010990Z         >>>     fn, x, y,
2025-08-26T19:47:10.0011050Z         >>>     use_reentrant=False,
2025-08-26T19:47:10.0011110Z         >>>     context_fn=context_fn,
2025-08-26T19:47:10.0011150Z         >>> )
2025-08-26T19:47:10.0011190Z     
2025-08-26T19:47:10.0011340Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0011380Z     
2025-08-26T19:47:10.0011430Z       warnings.warn(msg)
2025-08-26T19:47:10.0011470Z     
2025-08-26T19:47:10.0011560Z --- Parse Warning: 111 / 146 ---
2025-08-26T19:47:10.0012260Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ThroughputBenchmark in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/throughput_benchmark.py line=61.
2025-08-26T19:47:10.0012420Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0012470Z     
2025-08-26T19:47:10.0012640Z     This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark.
2025-08-26T19:47:10.0012680Z     
2025-08-26T19:47:10.0012860Z     This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible
2025-08-26T19:47:10.0013010Z     for executing a PyTorch module (nn.Module or ScriptModule) under an inference
2025-08-26T19:47:10.0013140Z     server like load. It can emulate multiple calling threads to a single module
2025-08-26T19:47:10.0013290Z     provided. In the future we plan to enhance this component to support inter and
2025-08-26T19:47:10.0013440Z     intra-op parallelism as well as multiple models running in a single process.
2025-08-26T19:47:10.0013480Z     
2025-08-26T19:47:10.0013630Z     Please note that even though nn.Module is supported, it might incur an overhead
2025-08-26T19:47:10.0013770Z     from the need to hold GIL every time we execute Python code or pass around
2025-08-26T19:47:10.0013910Z     inputs as Python objects. As soon as you have a ScriptModule version of your
2025-08-26T19:47:10.0014050Z     model for inference deployment it is better to switch to using it in this
2025-08-26T19:47:10.0014100Z     benchmark.
2025-08-26T19:47:10.0014130Z     
2025-08-26T19:47:10.0014180Z     Example::
2025-08-26T19:47:10.0014220Z     
2025-08-26T19:47:10.0014290Z         >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:10.0014370Z         >>> from torch.utils import ThroughputBenchmark
2025-08-26T19:47:10.0014450Z         >>> bench = ThroughputBenchmark(my_module)
2025-08-26T19:47:10.0014550Z         >>> # Pre-populate benchmark's data set with the inputs
2025-08-26T19:47:10.0014650Z         >>> for input in inputs:
2025-08-26T19:47:10.0014780Z         ...     # Both args and kwargs work, same as any PyTorch Module / ScriptModule
2025-08-26T19:47:10.0014860Z         ...     bench.add_input(input[0], x2=input[1])
2025-08-26T19:47:10.0015000Z         >>> # Inputs supplied above are randomly used during the execution
2025-08-26T19:47:10.0015060Z         >>> stats = bench.benchmark(
2025-08-26T19:47:10.0015120Z         ...     num_calling_threads=4,
2025-08-26T19:47:10.0015180Z         ...     num_warmup_iters = 100,
2025-08-26T19:47:10.0015230Z         ...     num_iters = 1000,
2025-08-26T19:47:10.0015270Z         ... )
2025-08-26T19:47:10.0015380Z         >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms))
2025-08-26T19:47:10.0015480Z         >>> print("Number of iterations: {}".format(stats.num_iters))
2025-08-26T19:47:10.0015520Z     
2025-08-26T19:47:10.0015670Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0015710Z     
2025-08-26T19:47:10.0015770Z       warnings.warn(msg)
2025-08-26T19:47:10.0015810Z     
2025-08-26T19:47:10.0015910Z --- Parse Warning: 112 / 146 ---
2025-08-26T19:47:10.0016580Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_pytree_node in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py line=134.
2025-08-26T19:47:10.0016760Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0019660Z     Register a container-like type as pytree node.
2025-08-26T19:47:10.0019710Z     
2025-08-26T19:47:10.0019760Z         Args:
2025-08-26T19:47:10.0019870Z             cls (type): A Python type to treat as an internal pytree node.
2025-08-26T19:47:10.0020040Z             flatten_fn (callable): A function to be used during flattening, taking an instance of
2025-08-26T19:47:10.0020200Z                 ``cls`` and returning a pair, with (1) an iterable for the children to be flattened
2025-08-26T19:47:10.0020370Z                 recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be
2025-08-26T19:47:10.0020450Z                 passed to the ``unflatten_fn``.
2025-08-26T19:47:10.0020610Z             unflatten_fn (callable): A function taking two arguments: the auxiliary data that was
2025-08-26T19:47:10.0020770Z                 returned by ``flatten_fn`` and stored in the treespec, and the unflattened children.
2025-08-26T19:47:10.0020870Z                 The function should return an instance of ``cls``.
2025-08-26T19:47:10.0021030Z             serialized_type_name (str, optional): A keyword argument used to specify the fully
2025-08-26T19:47:10.0021130Z                 qualified name used when serializing the tree spec.
2025-08-26T19:47:10.0021320Z             to_dumpable_context (callable, optional): An optional keyword argument to custom specify how
2025-08-26T19:47:10.0021490Z                 to convert the context of the pytree to a custom json dumpable representation. This is
2025-08-26T19:47:10.0021650Z                 used for json serialization, which is being used in :mod:`torch.export` right now.
2025-08-26T19:47:10.0021830Z             from_dumpable_context (callable, optional): An optional keyword argument to custom specify
2025-08-26T19:47:10.0021980Z                 how to convert the custom json dumpable representation of the context back to the
2025-08-26T19:47:10.0022140Z                 original context. This is used for json deserialization, which is being used in
2025-08-26T19:47:10.0022210Z                 :mod:`torch.export` right now.
2025-08-26T19:47:10.0022250Z     
2025-08-26T19:47:10.0022300Z         Example::
2025-08-26T19:47:10.0022340Z     
2025-08-26T19:47:10.0022390Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0022480Z             >>> # Registry a Python type with lambda functions
2025-08-26T19:47:10.0022640Z             >>> register_pytree_node(
2025-08-26T19:47:10.0022700Z             ...     set,
2025-08-26T19:47:10.0022770Z             ...     lambda s: (sorted(s), None, None),
2025-08-26T19:47:10.0022880Z             ...     lambda children, _: set(children),
2025-08-26T19:47:10.0022920Z             ... )
2025-08-26T19:47:10.0022960Z         
2025-08-26T19:47:10.0023120Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0023150Z     
2025-08-26T19:47:10.0023210Z       warnings.warn(msg)
2025-08-26T19:47:10.0023240Z     
2025-08-26T19:47:10.0023360Z --- Parse Warning: 113 / 146 ---
2025-08-26T19:47:10.0024020Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CppExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1159.
2025-08-26T19:47:10.0024180Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0024220Z     
2025-08-26T19:47:10.0024310Z     Create a :class:`setuptools.Extension` for C++.
2025-08-26T19:47:10.0024350Z     
2025-08-26T19:47:10.0024490Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-08-26T19:47:10.0024660Z     bare minimum (but often sufficient) arguments to build a C++ extension.
2025-08-26T19:47:10.0024700Z     
2025-08-26T19:47:10.0024820Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-08-26T19:47:10.0024910Z     constructor. Full list arguments can be found at
2025-08-26T19:47:10.0025110Z     https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-08-26T19:47:10.0025140Z     
2025-08-26T19:47:10.0025190Z     .. warning::
2025-08-26T19:47:10.0025330Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-08-26T19:47:10.0025460Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-08-26T19:47:10.0025580Z         the user's responsibility in their library to not use APIs from
2025-08-26T19:47:10.0025720Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-08-26T19:47:10.0025860Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-08-26T19:47:10.0025990Z         example, to give access to custom ops from python, the library should
2025-08-26T19:47:10.0026060Z         register the ops through the dispatcher.
2025-08-26T19:47:10.0026100Z     
2025-08-26T19:47:10.0026230Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-08-26T19:47:10.0026360Z         as a compile flag when py_limited_api is specified as an option for
2025-08-26T19:47:10.0026480Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-08-26T19:47:10.0026610Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-08-26T19:47:10.0026740Z         safety, and sanity in order to encourage best practices. To target a
2025-08-26T19:47:10.0026870Z         different version, set min_supported_cpython to the hexcode of the
2025-08-26T19:47:10.0026930Z         CPython version of choice.
2025-08-26T19:47:10.0026970Z     
2025-08-26T19:47:10.0027010Z     Example:
2025-08-26T19:47:10.0027070Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0027160Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-26T19:47:10.0027220Z         >>> from setuptools import setup
2025-08-26T19:47:10.0027360Z         >>> from torch.utils.cpp_extension import BuildExtension, CppExtension
2025-08-26T19:47:10.0027400Z         >>> setup(
2025-08-26T19:47:10.0027450Z         ...     name='extension',
2025-08-26T19:47:10.0027500Z         ...     ext_modules=[
2025-08-26T19:47:10.0027560Z         ...         CppExtension(
2025-08-26T19:47:10.0027610Z         ...             name='extension',
2025-08-26T19:47:10.0027690Z         ...             sources=['extension.cpp'],
2025-08-26T19:47:10.0027800Z         ...             extra_compile_args=['-g'],
2025-08-26T19:47:10.0027900Z         ...             extra_link_args=['-Wl,--no-as-needed', '-lm'])
2025-08-26T19:47:10.0027960Z         ...     ],
2025-08-26T19:47:10.0028010Z         ...     cmdclass={
2025-08-26T19:47:10.0028080Z         ...         'build_ext': BuildExtension
2025-08-26T19:47:10.0028120Z         ...     })
2025-08-26T19:47:10.0028160Z     
2025-08-26T19:47:10.0028310Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0028350Z     
2025-08-26T19:47:10.0028400Z       warnings.warn(msg)
2025-08-26T19:47:10.0028440Z     
2025-08-26T19:47:10.0028540Z --- Parse Warning: 114 / 146 ---
2025-08-26T19:47:10.0029210Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CUDAExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1229.
2025-08-26T19:47:10.0029360Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0029410Z     
2025-08-26T19:47:10.0029500Z     Create a :class:`setuptools.Extension` for CUDA/C++.
2025-08-26T19:47:10.0029560Z     
2025-08-26T19:47:10.0029700Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-08-26T19:47:10.0029820Z     bare minimum (but often sufficient) arguments to build a CUDA/C++
2025-08-26T19:47:10.0029960Z     extension. This includes the CUDA include path, library path and runtime
2025-08-26T19:47:10.0030000Z     library.
2025-08-26T19:47:10.0030040Z     
2025-08-26T19:47:10.0030170Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-08-26T19:47:10.0030250Z     constructor. Full list arguments can be found at
2025-08-26T19:47:10.0030450Z     https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-08-26T19:47:10.0030490Z     
2025-08-26T19:47:10.0030530Z     .. warning::
2025-08-26T19:47:10.0030670Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-08-26T19:47:10.0030800Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-08-26T19:47:10.0030920Z         the user's responsibility in their library to not use APIs from
2025-08-26T19:47:10.0031060Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-08-26T19:47:10.0031190Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-08-26T19:47:10.0031320Z         example, to give access to custom ops from python, the library should
2025-08-26T19:47:10.0031390Z         register the ops through the dispatcher.
2025-08-26T19:47:10.0031430Z     
2025-08-26T19:47:10.0031560Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-08-26T19:47:10.0031690Z         as a compile flag when py_limited_api is specified as an option for
2025-08-26T19:47:10.0031810Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-08-26T19:47:10.0031940Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-08-26T19:47:10.0032070Z         safety, and sanity in order to encourage best practices. To target a
2025-08-26T19:47:10.0032200Z         different version, set min_supported_cpython to the hexcode of the
2025-08-26T19:47:10.0032260Z         CPython version of choice.
2025-08-26T19:47:10.0032300Z     
2025-08-26T19:47:10.0032340Z     Example:
2025-08-26T19:47:10.0032400Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0032490Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-26T19:47:10.0032550Z         >>> from setuptools import setup
2025-08-26T19:47:10.0032680Z         >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension
2025-08-26T19:47:10.0032720Z         >>> setup(
2025-08-26T19:47:10.0032780Z         ...     name='cuda_extension',
2025-08-26T19:47:10.0032870Z         ...     ext_modules=[
2025-08-26T19:47:10.0032930Z         ...         CUDAExtension(
2025-08-26T19:47:10.0033000Z         ...                 name='cuda_extension',
2025-08-26T19:47:10.0033120Z         ...                 sources=['extension.cpp', 'extension_kernel.cu'],
2025-08-26T19:47:10.0033200Z         ...                 extra_compile_args={'cxx': ['-g'],
2025-08-26T19:47:10.0033280Z         ...                                     'nvcc': ['-O2']},
2025-08-26T19:47:10.0033380Z         ...                 extra_link_args=['-Wl,--no-as-needed', '-lcuda'])
2025-08-26T19:47:10.0033420Z         ...     ],
2025-08-26T19:47:10.0033460Z         ...     cmdclass={
2025-08-26T19:47:10.0033530Z         ...         'build_ext': BuildExtension
2025-08-26T19:47:10.0033570Z         ...     })
2025-08-26T19:47:10.0033610Z     
2025-08-26T19:47:10.0033670Z     Compute capabilities:
2025-08-26T19:47:10.0033710Z     
2025-08-26T19:47:10.0033890Z     By default the extension will be compiled to run on all archs of the cards visible during the
2025-08-26T19:47:10.0034070Z     building process of the extension, plus PTX. If down the road a new card is installed the
2025-08-26T19:47:10.0034240Z     extension may need to be recompiled. If a visible card has a compute capability (CC) that's
2025-08-26T19:47:10.0034450Z     newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch
2025-08-26T19:47:10.0034620Z     will make nvcc fall back to building kernels with the newest version of PTX your nvcc does
2025-08-26T19:47:10.0034680Z     support (see below for details on PTX).
2025-08-26T19:47:10.0034720Z     
2025-08-26T19:47:10.0034910Z     You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which
2025-08-26T19:47:10.0034980Z     CCs you want the extension to support:
2025-08-26T19:47:10.0035010Z     
2025-08-26T19:47:10.0035130Z     ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py``
2025-08-26T19:47:10.0035280Z     ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py``
2025-08-26T19:47:10.0035320Z     
2025-08-26T19:47:10.0035510Z     The +PTX option causes extension kernel binaries to include PTX instructions for the specified
2025-08-26T19:47:10.0035700Z     CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >=
2025-08-26T19:47:10.0035870Z     the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with
2025-08-26T19:47:10.0036050Z     CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to
2025-08-26T19:47:10.0036250Z     provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on
2025-08-26T19:47:10.0036410Z     those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better
2025-08-26T19:47:10.0036600Z     off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6,
2025-08-26T19:47:10.0036790Z     "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but
2025-08-26T19:47:10.0036840Z     "8.0 8.6" would be better.
2025-08-26T19:47:10.0036880Z     
2025-08-26T19:47:10.0037060Z     Note that while it's possible to include all supported archs, the more archs get included the
2025-08-26T19:47:10.0037230Z     slower the building process will be, as it will build a separate kernel image for each arch.
2025-08-26T19:47:10.0037270Z     
2025-08-26T19:47:10.0037470Z     Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows.
2025-08-26T19:47:10.0037600Z     To workaround the issue, move python binding logic to pure C++ file.
2025-08-26T19:47:10.0037640Z     
2025-08-26T19:47:10.0037680Z     Example use:
2025-08-26T19:47:10.0037740Z         #include <ATen/ATen.h>
2025-08-26T19:47:10.0037830Z         at::Tensor SigmoidAlphaBlendForwardCuda(....)
2025-08-26T19:47:10.0037870Z     
2025-08-26T19:47:10.0037910Z     Instead of:
2025-08-26T19:47:10.0038000Z         #include <torch/extension.h>
2025-08-26T19:47:10.0038100Z         torch::Tensor SigmoidAlphaBlendForwardCuda(...)
2025-08-26T19:47:10.0038140Z     
2025-08-26T19:47:10.0038320Z     Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460
2025-08-26T19:47:10.0038620Z     Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48
2025-08-26T19:47:10.0038650Z     
2025-08-26T19:47:10.0038720Z     Relocatable device code linking:
2025-08-26T19:47:10.0038750Z     
2025-08-26T19:47:10.0038920Z     If you want to reference device symbols across compilation units (across object files),
2025-08-26T19:47:10.0039080Z     the object files need to be built with `relocatable device code` (-rdc=true or -dc).
2025-08-26T19:47:10.0039290Z     An exception to this rule is "dynamic parallelism" (nested kernel launches)  which is not used a lot anymore.
2025-08-26T19:47:10.0039490Z     `Relocatable device code` is less optimized so it needs to be used only on object files that need it.
2025-08-26T19:47:10.0039680Z     Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step
2025-08-26T19:47:10.0039790Z     helps reduce the protentional perf degradation of `-rdc`.
2025-08-26T19:47:10.0039910Z     Note that it needs to be used at both steps to be useful.
2025-08-26T19:47:10.0039950Z     
2025-08-26T19:47:10.0040170Z     If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step.
2025-08-26T19:47:10.0040280Z     There is also a case where `-dlink` is used without `-rdc`:
2025-08-26T19:47:10.0040430Z     when an extension is linked against a static lib containing rdc-compiled objects
2025-08-26T19:47:10.0040560Z     like the [NVSHMEM library](https://developer.nvidia.com/nvshmem).
2025-08-26T19:47:10.0040600Z     
2025-08-26T19:47:10.0040720Z     Note: Ninja is required to build a CUDA Extension with RDC linking.
2025-08-26T19:47:10.0040760Z     
2025-08-26T19:47:10.0040800Z     Example:
2025-08-26T19:47:10.0040860Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0040950Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-26T19:47:10.0041000Z         >>> CUDAExtension(
2025-08-26T19:47:10.0041070Z         ...        name='cuda_extension',
2025-08-26T19:47:10.0041160Z         ...        sources=['extension.cpp', 'extension_kernel.cu'],
2025-08-26T19:47:10.0041220Z         ...        dlink=True,
2025-08-26T19:47:10.0041290Z         ...        dlink_libraries=["dlink_lib"],
2025-08-26T19:47:10.0041360Z         ...        extra_compile_args={'cxx': ['-g'],
2025-08-26T19:47:10.0041440Z         ...                            'nvcc': ['-O2', '-rdc=true']})
2025-08-26T19:47:10.0041480Z     
2025-08-26T19:47:10.0041630Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0041670Z     
2025-08-26T19:47:10.0041720Z       warnings.warn(msg)
2025-08-26T19:47:10.0041760Z     
2025-08-26T19:47:10.0041870Z --- Parse Warning: 115 / 146 ---
2025-08-26T19:47:10.0042540Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyclExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1420.
2025-08-26T19:47:10.0042700Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0042740Z     
2025-08-26T19:47:10.0042840Z     Creates a :class:`setuptools.Extension` for SYCL/C++.
2025-08-26T19:47:10.0042880Z     
2025-08-26T19:47:10.0043020Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-08-26T19:47:10.0043140Z     bare minimum (but often sufficient) arguments to build a SYCL/C++
2025-08-26T19:47:10.0043190Z     extension.
2025-08-26T19:47:10.0043230Z     
2025-08-26T19:47:10.0043410Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-08-26T19:47:10.0043460Z     constructor.
2025-08-26T19:47:10.0043500Z     
2025-08-26T19:47:10.0043550Z     .. warning::
2025-08-26T19:47:10.0043720Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-08-26T19:47:10.0043850Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-08-26T19:47:10.0043970Z         the user's responsibility in their library to not use APIs from
2025-08-26T19:47:10.0044110Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-08-26T19:47:10.0044240Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-08-26T19:47:10.0044370Z         example, to give access to custom ops from python, the library should
2025-08-26T19:47:10.0044440Z         register the ops through the dispatcher.
2025-08-26T19:47:10.0044490Z     
2025-08-26T19:47:10.0044620Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-08-26T19:47:10.0044750Z         as a compile flag when py_limited_api is specified as an option for
2025-08-26T19:47:10.0044870Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-08-26T19:47:10.0045000Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-08-26T19:47:10.0045170Z         safety, and sanity in order to encourage best practices. To target a
2025-08-26T19:47:10.0045300Z         different version, set min_supported_cpython to the hexcode of the
2025-08-26T19:47:10.0045360Z         CPython version of choice.
2025-08-26T19:47:10.0045400Z     
2025-08-26T19:47:10.0045440Z     Example:
2025-08-26T19:47:10.0045490Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0045590Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-26T19:47:10.0045720Z         >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension
2025-08-26T19:47:10.0045770Z         >>> setup(
2025-08-26T19:47:10.0045830Z         ...     name='xpu_extension',
2025-08-26T19:47:10.0045880Z         ...     ext_modules=[
2025-08-26T19:47:10.0045930Z         ...     SyclExtension(
2025-08-26T19:47:10.0046000Z         ...                 name='xpu_extension',
2025-08-26T19:47:10.0046100Z         ...                 sources=['extension.cpp', 'extension_kernel.cpp'],
2025-08-26T19:47:10.0046220Z         ...                 extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']})
2025-08-26T19:47:10.0046260Z         ...     ],
2025-08-26T19:47:10.0046310Z         ...     cmdclass={
2025-08-26T19:47:10.0046380Z         ...         'build_ext': BuildExtension
2025-08-26T19:47:10.0046420Z         ...     })
2025-08-26T19:47:10.0046460Z     
2025-08-26T19:47:10.0046640Z     By default the extension will be compiled to run on all archs of the cards visible during the
2025-08-26T19:47:10.0046790Z     building process of the extension. If down the road a new card is installed the
2025-08-26T19:47:10.0046940Z     extension may need to be recompiled. You can override the default behavior using
2025-08-26T19:47:10.0047130Z     `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension
2025-08-26T19:47:10.0047170Z     to support:
2025-08-26T19:47:10.0047220Z     
2025-08-26T19:47:10.0047340Z     ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py``
2025-08-26T19:47:10.0047380Z     
2025-08-26T19:47:10.0047560Z     Note that while it's possible to include all supported archs, the more archs get included the
2025-08-26T19:47:10.0047730Z     slower the building process will be, as it will build a separate kernel image for each arch.
2025-08-26T19:47:10.0047770Z     
2025-08-26T19:47:10.0047850Z     Note: Ninja is required to build SyclExtension.
2025-08-26T19:47:10.0047890Z     
2025-08-26T19:47:10.0048040Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0048080Z     
2025-08-26T19:47:10.0048130Z       warnings.warn(msg)
2025-08-26T19:47:10.0048170Z     
2025-08-26T19:47:10.0048320Z --- Parse Warning: 116 / 146 ---
2025-08-26T19:47:10.0048980Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1597.
2025-08-26T19:47:10.0049170Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0049210Z     
2025-08-26T19:47:10.0049300Z     Load a PyTorch C++ extension just-in-time (JIT).
2025-08-26T19:47:10.0049340Z     
2025-08-26T19:47:10.0049470Z     To load an extension, a Ninja build file is emitted, which is used to
2025-08-26T19:47:10.0049600Z     compile the given sources into a dynamic library. This library is
2025-08-26T19:47:10.0049730Z     subsequently loaded into the current Python process as a module and
2025-08-26T19:47:10.0049810Z     returned from this function, ready for use.
2025-08-26T19:47:10.0049850Z     
2025-08-26T19:47:10.0049990Z     By default, the directory to which the build file is emitted and the
2025-08-26T19:47:10.0050130Z     resulting library compiled to is ``<tmp>/torch_extensions/<name>``, where
2025-08-26T19:47:10.0050260Z     ``<tmp>`` is the temporary folder on the current platform and ``<name>``
2025-08-26T19:47:10.0050420Z     the name of the extension. This location can be overridden in two ways.
2025-08-26T19:47:10.0050550Z     First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it
2025-08-26T19:47:10.0050680Z     replaces ``<tmp>/torch_extensions`` and all extensions will be compiled
2025-08-26T19:47:10.0050810Z     into subfolders of this directory. Second, if the ``build_directory``
2025-08-26T19:47:10.0050940Z     argument to this function is supplied, it overrides the entire path, i.e.
2025-08-26T19:47:10.0051040Z     the library will be compiled into that folder directly.
2025-08-26T19:47:10.0051080Z     
2025-08-26T19:47:10.0051210Z     To compile the sources, the default system compiler (``c++``) is used,
2025-08-26T19:47:10.0051350Z     which can be overridden by setting the ``CXX`` environment variable. To pass
2025-08-26T19:47:10.0051490Z     additional arguments to the compilation process, ``extra_cflags`` or
2025-08-26T19:47:10.0051630Z     ``extra_ldflags`` can be provided. For example, to compile your extension
2025-08-26T19:47:10.0051760Z     with optimizations, pass ``extra_cflags=['-O3']``. You can also use
2025-08-26T19:47:10.0051850Z     ``extra_cflags`` to pass further include directories.
2025-08-26T19:47:10.0051890Z     
2025-08-26T19:47:10.0052030Z     CUDA support with mixed compilation is provided. Simply pass CUDA source
2025-08-26T19:47:10.0052140Z     files (``.cu`` or ``.cuh``) along with other sources. Such files will be
2025-08-26T19:47:10.0052290Z     detected and compiled with nvcc rather than the C++ compiler. This includes
2025-08-26T19:47:10.0052420Z     passing the CUDA lib64 directory as a library directory, and linking
2025-08-26T19:47:10.0052510Z     ``cudart``. You can pass additional flags to nvcc via
2025-08-26T19:47:10.0052630Z     ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various
2025-08-26T19:47:10.0052780Z     heuristics for finding the CUDA install directory are used, which usually
2025-08-26T19:47:10.0052900Z     work fine. If not, setting the ``CUDA_HOME`` environment variable is the
2025-08-26T19:47:10.0052950Z     safest option.
2025-08-26T19:47:10.0052990Z     
2025-08-26T19:47:10.0053130Z     SYCL support with mixed compilation is provided. Simply pass SYCL source
2025-08-26T19:47:10.0053250Z     files (``.sycl``) along with other sources. Such files will be detected
2025-08-26T19:47:10.0053380Z     and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather
2025-08-26T19:47:10.0053510Z     than the C++ compiler. You can pass additional flags to SYCL compiler
2025-08-26T19:47:10.0053620Z     via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++.
2025-08-26T19:47:10.0053790Z     SYCL compiler is expected to be found via system PATH environment
2025-08-26T19:47:10.0053840Z     variable.
2025-08-26T19:47:10.0053880Z     
2025-08-26T19:47:10.0053940Z     Args:
2025-08-26T19:47:10.0054070Z         name: The name of the extension to build. This MUST be the same as the
2025-08-26T19:47:10.0054130Z             name of the pybind11 module!
2025-08-26T19:47:10.0054260Z         sources: A list of relative or absolute paths to C++ source files.
2025-08-26T19:47:10.0054390Z         extra_cflags: optional list of compiler flags to forward to the build.
2025-08-26T19:47:10.0054520Z         extra_cuda_cflags: optional list of compiler flags to forward to nvcc
2025-08-26T19:47:10.0054580Z             when building CUDA sources.
2025-08-26T19:47:10.0054710Z         extra_sycl_cflags: optional list of compiler flags to forward to SYCL
2025-08-26T19:47:10.0054780Z             compiler when building SYCL sources.
2025-08-26T19:47:10.0054910Z         extra_ldflags: optional list of linker flags to forward to the build.
2025-08-26T19:47:10.0055050Z         extra_include_paths: optional list of include directories to forward
2025-08-26T19:47:10.0055090Z             to the build.
2025-08-26T19:47:10.0055210Z         build_directory: optional path to use as build workspace.
2025-08-26T19:47:10.0055340Z         verbose: If ``True``, turns on verbose logging of load steps.
2025-08-26T19:47:10.0055470Z         with_cuda: Determines whether CUDA headers and libraries are added to
2025-08-26T19:47:10.0055570Z             the build. If set to ``None`` (default), this value is
2025-08-26T19:47:10.0055690Z             automatically determined based on the existence of ``.cu`` or
2025-08-26T19:47:10.0055800Z             ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers
2025-08-26T19:47:10.0055860Z             and libraries to be included.
2025-08-26T19:47:10.0055990Z         with_sycl: Determines whether SYCL headers and libraries are added to
2025-08-26T19:47:10.0056090Z             the build. If set to ``None`` (default), this value is
2025-08-26T19:47:10.0056220Z             automatically determined based on the existence of ``.sycl`` in
2025-08-26T19:47:10.0056330Z             ``sources``. Set it to `True`` to force SYCL headers and
2025-08-26T19:47:10.0056390Z             libraries to be included.
2025-08-26T19:47:10.0056510Z         is_python_module: If ``True`` (default), imports the produced shared
2025-08-26T19:47:10.0056630Z             library as a Python module. If ``False``, behavior depends on
2025-08-26T19:47:10.0056680Z             ``is_standalone``.
2025-08-26T19:47:10.0056810Z         is_standalone: If ``False`` (default) loads the constructed extension
2025-08-26T19:47:10.0056920Z             into the process as a plain dynamic library. If ``True``, build a
2025-08-26T19:47:10.0056980Z             standalone executable.
2025-08-26T19:47:10.0057020Z     
2025-08-26T19:47:10.0057060Z     Returns:
2025-08-26T19:47:10.0057130Z         If ``is_python_module`` is ``True``:
2025-08-26T19:47:10.0057240Z             Returns the loaded PyTorch extension as a Python module.
2025-08-26T19:47:10.0057280Z     
2025-08-26T19:47:10.0057410Z         If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``:
2025-08-26T19:47:10.0057540Z             Returns nothing. (The shared library is loaded into the process as
2025-08-26T19:47:10.0057590Z             a side effect.)
2025-08-26T19:47:10.0057630Z     
2025-08-26T19:47:10.0057690Z         If ``is_standalone`` is ``True``.
2025-08-26T19:47:10.0057810Z             Return the path to the executable. (On Windows, TORCH_LIB_PATH is
2025-08-26T19:47:10.0057920Z             added to the PATH environment variable as a side effect.)
2025-08-26T19:47:10.0057960Z     
2025-08-26T19:47:10.0058000Z     Example:
2025-08-26T19:47:10.0058050Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0058140Z         >>> from torch.utils.cpp_extension import load
2025-08-26T19:47:10.0058190Z         >>> module = load(
2025-08-26T19:47:10.0058270Z         ...     name='extension',
2025-08-26T19:47:10.0058380Z         ...     sources=['extension.cpp', 'extension_kernel.cu'],
2025-08-26T19:47:10.0058430Z         ...     extra_cflags=['-O2'],
2025-08-26T19:47:10.0058500Z         ...     verbose=True)
2025-08-26T19:47:10.0058540Z     
2025-08-26T19:47:10.0058700Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0058740Z     
2025-08-26T19:47:10.0058790Z       warnings.warn(msg)
2025-08-26T19:47:10.0058830Z     
2025-08-26T19:47:10.0058930Z --- Parse Warning: 117 / 146 ---
2025-08-26T19:47:10.0059590Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_inline in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1882.
2025-08-26T19:47:10.0059740Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0059780Z     
2025-08-26T19:47:10.0059910Z     Load a PyTorch C++ extension just-in-time (JIT) from string sources.
2025-08-26T19:47:10.0059950Z     
2025-08-26T19:47:10.0060090Z     This function behaves exactly like :func:`load`, but takes its sources as
2025-08-26T19:47:10.0060250Z     strings rather than filenames. These strings are stored to files in the
2025-08-26T19:47:10.0060380Z     build directory, after which the behavior of :func:`load_inline` is
2025-08-26T19:47:10.0060430Z     identical to :func:`load`.
2025-08-26T19:47:10.0060470Z     
2025-08-26T19:47:10.0060510Z     See `the
2025-08-26T19:47:10.0060700Z     tests <https://github.com/pytorch/pytorch/blob/master/test/test_cpp_extensions_jit.py>`_
2025-08-26T19:47:10.0060780Z     for good examples of using this function.
2025-08-26T19:47:10.0060820Z     
2025-08-26T19:47:10.0060950Z     Sources may omit two required parts of a typical non-inline C++ extension:
2025-08-26T19:47:10.0061100Z     the necessary header includes, as well as the (pybind11) binding code. More
2025-08-26T19:47:10.0061240Z     precisely, strings passed to ``cpp_sources`` are first concatenated into a
2025-08-26T19:47:10.0061360Z     single ``.cpp`` file. This file is then prepended with ``#include
2025-08-26T19:47:10.0061420Z     <torch/extension.h>``
2025-08-26T19:47:10.0061460Z     
2025-08-26T19:47:10.0061590Z     Furthermore, if the ``functions`` argument is supplied, bindings will be
2025-08-26T19:47:10.0061730Z     automatically generated for each function specified. ``functions`` can
2025-08-26T19:47:10.0061860Z     either be a list of function names, or a dictionary mapping from function
2025-08-26T19:47:10.0062000Z     names to docstrings. If a list is given, the name of each function is used
2025-08-26T19:47:10.0062040Z     as its docstring.
2025-08-26T19:47:10.0062080Z     
2025-08-26T19:47:10.0062210Z     The sources in ``cuda_sources`` are concatenated into a separate ``.cu``
2025-08-26T19:47:10.0062320Z     file and  prepended with ``torch/types.h``, ``cuda.h`` and
2025-08-26T19:47:10.0062440Z     ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled
2025-08-26T19:47:10.0062570Z     separately, but ultimately linked into a single library. Note that no
2025-08-26T19:47:10.0062710Z     bindings are generated for functions in ``cuda_sources`` per se. To bind
2025-08-26T19:47:10.0062840Z     to a CUDA kernel, you must create a C++ function that calls it, and either
2025-08-26T19:47:10.0062970Z     declare or define this C++ function in one of the ``cpp_sources`` (and
2025-08-26T19:47:10.0063030Z     include its name in ``functions``).
2025-08-26T19:47:10.0063070Z     
2025-08-26T19:47:10.0063200Z     The sources in ``sycl_sources`` are concatenated into a separate ``.sycl``
2025-08-26T19:47:10.0063330Z     file and  prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes.
2025-08-26T19:47:10.0063450Z     The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately
2025-08-26T19:47:10.0063630Z     linked into a single library. Note that no bindings are generated for
2025-08-26T19:47:10.0063770Z     functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must
2025-08-26T19:47:10.0063930Z     create a C++ function that calls it, and either declare or define this
2025-08-26T19:47:10.0064050Z     C++ function in one of the ``cpp_sources`` (and include its name
2025-08-26T19:47:10.0064100Z     in ``functions``).
2025-08-26T19:47:10.0064140Z     
2025-08-26T19:47:10.0064180Z     
2025-08-26T19:47:10.0064220Z     
2025-08-26T19:47:10.0064330Z     See :func:`load` for a description of arguments omitted below.
2025-08-26T19:47:10.0064370Z     
2025-08-26T19:47:10.0064410Z     Args:
2025-08-26T19:47:10.0064540Z         cpp_sources: A string, or list of strings, containing C++ source code.
2025-08-26T19:47:10.0064670Z         cuda_sources: A string, or list of strings, containing CUDA source code.
2025-08-26T19:47:10.0064800Z         sycl_sources: A string, or list of strings, containing SYCL source code.
2025-08-26T19:47:10.0064930Z         functions: A list of function names for which to generate function
2025-08-26T19:47:10.0065060Z             bindings. If a dictionary is given, it should map function names to
2025-08-26T19:47:10.0065170Z             docstrings (which are otherwise just the function names).
2025-08-26T19:47:10.0065340Z         with_cuda: Determines whether CUDA headers and libraries are added to
2025-08-26T19:47:10.0065440Z             the build. If set to ``None`` (default), this value is
2025-08-26T19:47:10.0065560Z             automatically determined based on whether ``cuda_sources`` is
2025-08-26T19:47:10.0065650Z             provided. Set it to ``True`` to force CUDA headers
2025-08-26T19:47:10.0065720Z             and libraries to be included.
2025-08-26T19:47:10.0065850Z         with_sycl: Determines whether SYCL headers and libraries are added to
2025-08-26T19:47:10.0065940Z             the build. If set to ``None`` (default), this value is
2025-08-26T19:47:10.0066060Z             automatically determined based on whether ``sycl_sources`` is
2025-08-26T19:47:10.0066160Z             provided. Set it to ``True`` to force SYCL headers
2025-08-26T19:47:10.0066220Z             and libraries to be included.
2025-08-26T19:47:10.0066350Z         with_pytorch_error_handling: Determines whether pytorch error and
2025-08-26T19:47:10.0066470Z             warning macros are handled by pytorch instead of pybind. To do
2025-08-26T19:47:10.0066600Z             this, each function ``foo`` is called via an intermediary ``_safe_foo``
2025-08-26T19:47:10.0066720Z             function. This redirection might cause issues in obscure cases
2025-08-26T19:47:10.0066830Z             of cpp. This flag should be set to ``False`` when this redirect
2025-08-26T19:47:10.0066880Z             causes issues.
2025-08-26T19:47:10.0067040Z         no_implicit_headers: If ``True``, skips automatically adding headers, most notably
2025-08-26T19:47:10.0067180Z             ``#include <torch/extension.h>`` and ``#include <torch/types.h>`` lines.
2025-08-26T19:47:10.0067270Z             Use this option to improve cold start times when you
2025-08-26T19:47:10.0067430Z             already include the necessary headers in your source code. Default: ``False``.
2025-08-26T19:47:10.0067470Z     
2025-08-26T19:47:10.0067520Z     Example:
2025-08-26T19:47:10.0067610Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-26T19:47:10.0067710Z         >>> from torch.utils.cpp_extension import load_inline
2025-08-26T19:47:10.0067760Z         >>> source = """
2025-08-26T19:47:10.0067840Z         at::Tensor sin_add(at::Tensor x, at::Tensor y) {
2025-08-26T19:47:10.0067900Z           return x.sin() + y.sin();
2025-08-26T19:47:10.0067940Z         }
2025-08-26T19:47:10.0067990Z         """
2025-08-26T19:47:10.0068070Z         >>> module = load_inline(name='inline_extension',
2025-08-26T19:47:10.0068140Z         ...                      cpp_sources=[source],
2025-08-26T19:47:10.0068260Z         ...                      functions=['sin_add'])
2025-08-26T19:47:10.0068310Z     
2025-08-26T19:47:10.0068350Z     .. note::
2025-08-26T19:47:10.0068500Z         Since load_inline will just-in-time compile the source code, please ensure
2025-08-26T19:47:10.0068670Z         that you have the right toolchains installed in the runtime. For example,
2025-08-26T19:47:10.0068800Z         when loading C++, make sure a C++ compiler is available. If you're loading
2025-08-26T19:47:10.0068950Z         a CUDA extension, you will need to additionally install the corresponding CUDA
2025-08-26T19:47:10.0069100Z         toolkit (nvcc and any other dependencies your code has). Compiling toolchains
2025-08-26T19:47:10.0069240Z         are not included when you install torch and must be additionally installed.
2025-08-26T19:47:10.0069280Z     
2025-08-26T19:47:10.0069430Z         During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build
2025-08-26T19:47:10.0069570Z         the extension. This may use up too many resources on some systems. One
2025-08-26T19:47:10.0069710Z         can control the number of workers by setting the `MAX_JOBS` environment
2025-08-26T19:47:10.0069770Z         variable to a non-negative number.
2025-08-26T19:47:10.0069810Z     
2025-08-26T19:47:10.0069960Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0070030Z     
2025-08-26T19:47:10.0070080Z       warnings.warn(msg)
2025-08-26T19:47:10.0070120Z     
2025-08-26T19:47:10.0070230Z --- Parse Warning: 118 / 146 ---
2025-08-26T19:47:10.0070930Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/distributed.py line=18.
2025-08-26T19:47:10.0071090Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0071220Z     Sampler that restricts data loading to a subset of the dataset.
2025-08-26T19:47:10.0071260Z     
2025-08-26T19:47:10.0071340Z         It is especially useful in conjunction with
2025-08-26T19:47:10.0071500Z         :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each
2025-08-26T19:47:10.0071650Z         process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a
2025-08-26T19:47:10.0071800Z         :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the
2025-08-26T19:47:10.0071870Z         original dataset that is exclusive to it.
2025-08-26T19:47:10.0071910Z     
2025-08-26T19:47:10.0071950Z         .. note::
2025-08-26T19:47:10.0072100Z             Dataset is assumed to be of constant size and that any instance of it always
2025-08-26T19:47:10.0072180Z             returns the same elements in the same order.
2025-08-26T19:47:10.0072220Z     
2025-08-26T19:47:10.0072260Z         Args:
2025-08-26T19:47:10.0072330Z             dataset: Dataset used for sampling.
2025-08-26T19:47:10.0072460Z             num_replicas (int, optional): Number of processes participating in
2025-08-26T19:47:10.0072610Z                 distributed training. By default, :attr:`world_size` is retrieved from the
2025-08-26T19:47:10.0072680Z                 current distributed group.
2025-08-26T19:47:10.0072830Z             rank (int, optional): Rank of the current process within :attr:`num_replicas`.
2025-08-26T19:47:10.0072950Z                 By default, :attr:`rank` is retrieved from the current distributed
2025-08-26T19:47:10.0072990Z                 group.
2025-08-26T19:47:10.0073130Z             shuffle (bool, optional): If ``True`` (default), sampler will shuffle the
2025-08-26T19:47:10.0073180Z                 indices.
2025-08-26T19:47:10.0073300Z             seed (int, optional): random seed used to shuffle the sampler if
2025-08-26T19:47:10.0073410Z                 :attr:`shuffle=True`. This number should be identical across all
2025-08-26T19:47:10.0073560Z                 processes in the distributed group. Default: ``0``.
2025-08-26T19:47:10.0073700Z             drop_last (bool, optional): if ``True``, then the sampler will drop the
2025-08-26T19:47:10.0073820Z                 tail of the data to make it evenly divisible across the number of
2025-08-26T19:47:10.0073960Z                 replicas. If ``False``, the sampler will add extra indices to make
2025-08-26T19:47:10.0074090Z                 the data evenly divisible across the replicas. Default: ``False``.
2025-08-26T19:47:10.0074130Z     
2025-08-26T19:47:10.0074180Z         .. warning::
2025-08-26T19:47:10.0074290Z             In distributed mode, calling the :meth:`set_epoch` method at
2025-08-26T19:47:10.0074450Z             the beginning of each epoch **before** creating the :class:`DataLoader` iterator
2025-08-26T19:47:10.0074600Z             is necessary to make shuffling work properly across multiple epochs. Otherwise,
2025-08-26T19:47:10.0077530Z             the same ordering will be always used.
2025-08-26T19:47:10.0077580Z     
2025-08-26T19:47:10.0077640Z         Example::
2025-08-26T19:47:10.0077690Z     
2025-08-26T19:47:10.0077740Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0077880Z             >>> sampler = DistributedSampler(dataset) if is_distributed else None
2025-08-26T19:47:10.0077990Z             >>> loader = DataLoader(dataset, shuffle=(sampler is None),
2025-08-26T19:47:10.0078110Z             ...                     sampler=sampler)
2025-08-26T19:47:10.0078200Z             >>> for epoch in range(start_epoch, n_epochs):
2025-08-26T19:47:10.0078260Z             ...     if is_distributed:
2025-08-26T19:47:10.0078330Z             ...         sampler.set_epoch(epoch)
2025-08-26T19:47:10.0078380Z             ...     train(loader)
2025-08-26T19:47:10.0078420Z         
2025-08-26T19:47:10.0078580Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0078610Z     
2025-08-26T19:47:10.0078670Z       warnings.warn(msg)
2025-08-26T19:47:10.0078710Z     
2025-08-26T19:47:10.0078830Z --- Parse Warning: 119 / 146 ---
2025-08-26T19:47:10.0079520Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=WeightedRandomSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/sampler.py line=227.
2025-08-26T19:47:10.0079680Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0079830Z     Samples elements from ``[0,..,len(weights)-1]`` with given probabilities (weights).
2025-08-26T19:47:10.0079870Z     
2025-08-26T19:47:10.0079920Z         Args:
2025-08-26T19:47:10.0080070Z             weights (sequence)   : a sequence of weights, not necessary summing up to one
2025-08-26T19:47:10.0080150Z             num_samples (int): number of samples to draw
2025-08-26T19:47:10.0080280Z             replacement (bool): if ``True``, samples are drawn with replacement.
2025-08-26T19:47:10.0080400Z                 If not, they are drawn without replacement, which means that when a
2025-08-26T19:47:10.0080540Z                 sample index is drawn for a row, it cannot be drawn again for that row.
2025-08-26T19:47:10.0080640Z             generator (Generator): Generator used in sampling.
2025-08-26T19:47:10.0080680Z     
2025-08-26T19:47:10.0080720Z         Example:
2025-08-26T19:47:10.0080810Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-26T19:47:10.0080860Z             >>> list(
2025-08-26T19:47:10.0080920Z             ...     WeightedRandomSampler(
2025-08-26T19:47:10.0081010Z             ...         [0.1, 0.9, 0.4, 0.7, 3.0, 0.6], 5, replacement=True
2025-08-26T19:47:10.0081060Z             ...     )
2025-08-26T19:47:10.0081100Z             ... )
2025-08-26T19:47:10.0081150Z             [4, 4, 1, 4, 5]
2025-08-26T19:47:10.0081190Z             >>> list(
2025-08-26T19:47:10.0081260Z             ...     WeightedRandomSampler(
2025-08-26T19:47:10.0081380Z             ...         [0.9, 0.4, 0.05, 0.2, 0.3, 0.1], 5, replacement=False
2025-08-26T19:47:10.0081430Z             ...     )
2025-08-26T19:47:10.0081470Z             ... )
2025-08-26T19:47:10.0081540Z             [0, 1, 4, 3, 2]
2025-08-26T19:47:10.0081580Z         
2025-08-26T19:47:10.0081730Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0081770Z     
2025-08-26T19:47:10.0081820Z       warnings.warn(msg)
2025-08-26T19:47:10.0081860Z     
2025-08-26T19:47:10.0081960Z --- Parse Warning: 120 / 146 ---
2025-08-26T19:47:10.0082620Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BatchSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/sampler.py line=300.
2025-08-26T19:47:10.0082780Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0082890Z     Wraps another sampler to yield a mini-batch of indices.
2025-08-26T19:47:10.0082930Z     
2025-08-26T19:47:10.0082970Z         Args:
2025-08-26T19:47:10.0083110Z             sampler (Sampler or Iterable): Base sampler. Can be any iterable object
2025-08-26T19:47:10.0083180Z             batch_size (int): Size of mini-batch.
2025-08-26T19:47:10.0083330Z             drop_last (bool): If ``True``, the sampler will drop the last batch if
2025-08-26T19:47:10.0083410Z                 its size would be less than ``batch_size``
2025-08-26T19:47:10.0083450Z     
2025-08-26T19:47:10.0083490Z         Example:
2025-08-26T19:47:10.0083530Z             >>> list(
2025-08-26T19:47:10.0083590Z             ...     BatchSampler(
2025-08-26T19:47:10.0083710Z             ...         SequentialSampler(range(10)), batch_size=3, drop_last=False
2025-08-26T19:47:10.0083760Z             ...     )
2025-08-26T19:47:10.0083800Z             ... )
2025-08-26T19:47:10.0083860Z             [[0, 1, 2], [3, 4, 5], [6, 7, 8], [9]]
2025-08-26T19:47:10.0083910Z             >>> list(
2025-08-26T19:47:10.0084070Z             ...     BatchSampler(SequentialSampler(range(10)), batch_size=3, drop_last=True)
2025-08-26T19:47:10.0084110Z             ... )
2025-08-26T19:47:10.0084180Z             [[0, 1, 2], [3, 4, 5], [6, 7, 8]]
2025-08-26T19:47:10.0084220Z         
2025-08-26T19:47:10.0084370Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0084410Z     
2025-08-26T19:47:10.0084460Z       warnings.warn(msg)
2025-08-26T19:47:10.0084500Z     
2025-08-26T19:47:10.0084600Z --- Parse Warning: 121 / 146 ---
2025-08-26T19:47:10.0085280Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=IterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py line=56.
2025-08-26T19:47:10.0085440Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0085480Z     
2025-08-26T19:47:10.0085540Z     Iterable-style DataPipe.
2025-08-26T19:47:10.0085580Z     
2025-08-26T19:47:10.0085730Z     All DataPipes that represent an iterable of data samples should subclass this.
2025-08-26T19:47:10.0085890Z     This style of DataPipes is particularly useful when data come from a stream, or
2025-08-26T19:47:10.0086100Z     when the number of samples is too large to fit them all in memory. ``IterDataPipe`` is lazily initialized and its
2025-08-26T19:47:10.0086280Z     elements are computed only when ``next()`` is called on the iterator of an ``IterDataPipe``.
2025-08-26T19:47:10.0086320Z     
2025-08-26T19:47:10.0086460Z     All subclasses should overwrite :meth:`__iter__`, which would return an
2025-08-26T19:47:10.0086660Z     iterator of samples in this DataPipe. Calling ``__iter__`` of an ``IterDataPipe`` automatically invokes its
2025-08-26T19:47:10.0086940Z     method ``reset()``, which by default performs no operation. When writing a custom ``IterDataPipe``, users should
2025-08-26T19:47:10.0087110Z     override ``reset()`` if necessary. The common usages include resetting buffers, pointers,
2025-08-26T19:47:10.0087270Z     and various state variables within the custom ``IterDataPipe``.
2025-08-26T19:47:10.0087310Z     
2025-08-26T19:47:10.0087350Z     Note:
2025-08-26T19:47:10.0087480Z         Only `one` iterator can be valid for each ``IterDataPipe`` at a time,
2025-08-26T19:47:10.0087690Z         and the creation a second iterator will invalidate the first one. This constraint is necessary because
2025-08-26T19:47:10.0087910Z         some ``IterDataPipe`` have internal buffers, whose states can become invalid if there are multiple iterators.
2025-08-26T19:47:10.0088070Z         The code example below presents details on how this constraint looks in practice.
2025-08-26T19:47:10.0088290Z         If you have any feedback related to this constraint, please see `GitHub IterDataPipe Single Iterator Issue`_.
2025-08-26T19:47:10.0088330Z     
2025-08-26T19:47:10.0088500Z     These DataPipes can be invoked in two ways, using the class constructor or applying their
2025-08-26T19:47:10.0088720Z     functional form onto an existing ``IterDataPipe`` (recommended, available to most but not all DataPipes).
2025-08-26T19:47:10.0088940Z     You can chain multiple `IterDataPipe` together to form a pipeline that will perform multiple
2025-08-26T19:47:10.0089000Z     operations in succession.
2025-08-26T19:47:10.0089040Z     
2025-08-26T19:47:10.0089120Z     .. _GitHub IterDataPipe Single Iterator Issue:
2025-08-26T19:47:10.0089200Z         https://github.com/pytorch/data/issues/45
2025-08-26T19:47:10.0089240Z     
2025-08-26T19:47:10.0089280Z     Note:
2025-08-26T19:47:10.0089420Z         When a subclass is used with :class:`~torch.utils.data.DataLoader`, each
2025-08-26T19:47:10.0089580Z         item in the DataPipe will be yielded from the :class:`~torch.utils.data.DataLoader`
2025-08-26T19:47:10.0089710Z         iterator. When :attr:`num_workers > 0`, each worker process will have a
2025-08-26T19:47:10.0089860Z         different copy of the DataPipe object, so it is often desired to configure
2025-08-26T19:47:10.0090000Z         each copy independently to avoid having duplicate data returned from the
2025-08-26T19:47:10.0090150Z         workers. :func:`~torch.utils.data.get_worker_info`, when called in a worker
2025-08-26T19:47:10.0090300Z         process, returns information about the worker. It can be used in either the
2025-08-26T19:47:10.0090460Z         dataset's :meth:`__iter__` method or the :class:`~torch.utils.data.DataLoader` 's
2025-08-26T19:47:10.0090570Z         :attr:`worker_init_fn` option to modify each copy's behavior.
2025-08-26T19:47:10.0090610Z     
2025-08-26T19:47:10.0090650Z     Examples:
2025-08-26T19:47:10.0090700Z         General Usage:
2025-08-26T19:47:10.0090750Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0090880Z             >>> from torchdata.datapipes.iter import IterableWrapper, Mapper
2025-08-26T19:47:10.0090950Z             >>> dp = IterableWrapper(range(10))
2025-08-26T19:47:10.0091070Z             >>> map_dp_1 = Mapper(dp, lambda x: x + 1)  # Using class constructor
2025-08-26T19:47:10.0091130Z             >>> map_dp_2 = dp.map(
2025-08-26T19:47:10.0091180Z             ...     lambda x: x + 1
2025-08-26T19:47:10.0091270Z             ... )  # Using functional form (recommended)
2025-08-26T19:47:10.0091320Z             >>> list(map_dp_1)
2025-08-26T19:47:10.0091380Z             [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
2025-08-26T19:47:10.0091430Z             >>> list(map_dp_2)
2025-08-26T19:47:10.0091480Z             [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
2025-08-26T19:47:10.0091570Z             >>> filter_dp = map_dp_1.filter(lambda x: x % 2 == 0)
2025-08-26T19:47:10.0091620Z             >>> list(filter_dp)
2025-08-26T19:47:10.0091670Z             [2, 4, 6, 8, 10]
2025-08-26T19:47:10.0091740Z         Single Iterator Constraint Example:
2025-08-26T19:47:10.0091910Z             >>> from torchdata.datapipes.iter import IterableWrapper, Mapper
2025-08-26T19:47:10.0091990Z             >>> source_dp = IterableWrapper(range(10))
2025-08-26T19:47:10.0092050Z             >>> it1 = iter(source_dp)
2025-08-26T19:47:10.0092120Z             >>> list(it1)
2025-08-26T19:47:10.0092170Z             [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
2025-08-26T19:47:10.0092230Z             >>> it1 = iter(source_dp)
2025-08-26T19:47:10.0092280Z             >>> it2 = iter(
2025-08-26T19:47:10.0092330Z             ...     source_dp
2025-08-26T19:47:10.0092420Z             ... )  # The creation of a new iterator invalidates `it1`
2025-08-26T19:47:10.0092470Z             >>> next(it2)
2025-08-26T19:47:10.0092510Z             0
2025-08-26T19:47:10.0092630Z             >>> next(it1)  # Further usage of `it1` will raise a `RunTimeError`
2025-08-26T19:47:10.0092660Z     
2025-08-26T19:47:10.0092810Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0092850Z     
2025-08-26T19:47:10.0092910Z       warnings.warn(msg)
2025-08-26T19:47:10.0092950Z     
2025-08-26T19:47:10.0093050Z --- Parse Warning: 122 / 146 ---
2025-08-26T19:47:10.0093790Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FileOpenerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py line=18.
2025-08-26T19:47:10.0093980Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0094020Z     
2025-08-26T19:47:10.0094240Z     Given pathnames, opens files and yield pathname and file stream in a tuple (functional name: ``open_files``).
2025-08-26T19:47:10.0094280Z     
2025-08-26T19:47:10.0094320Z     Args:
2025-08-26T19:47:10.0094420Z         datapipe: Iterable datapipe that provides pathnames
2025-08-26T19:47:10.0094530Z         mode: An optional string that specifies the mode in which
2025-08-26T19:47:10.0094660Z             the file is opened by ``open()``. It defaults to ``r``, other options are
2025-08-26T19:47:10.0094760Z             ``b`` for reading in binary mode and ``t`` for text mode.
2025-08-26T19:47:10.0094880Z         encoding: An optional string that specifies the encoding of the
2025-08-26T19:47:10.0095040Z             underlying file. It defaults to ``None`` to match the default encoding of ``open``.
2025-08-26T19:47:10.0095110Z         length: Nominal length of the datapipe
2025-08-26T19:47:10.0095150Z     
2025-08-26T19:47:10.0095200Z     Note:
2025-08-26T19:47:10.0095360Z         The opened file handles will be closed by Python's GC periodically. Users can choose
2025-08-26T19:47:10.0095420Z         to close them explicitly.
2025-08-26T19:47:10.0095450Z     
2025-08-26T19:47:10.0095500Z     Example:
2025-08-26T19:47:10.0095550Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0095630Z         >>> from torchdata.datapipes.iter import (
2025-08-26T19:47:10.0095680Z         ...     FileLister,
2025-08-26T19:47:10.0095730Z         ...     FileOpener,
2025-08-26T19:47:10.0095780Z         ...     StreamReader,
2025-08-26T19:47:10.0095820Z         ... )
2025-08-26T19:47:10.0095950Z         >>> dp = FileLister(root=".").filter(lambda fname: fname.endswith(".txt"))
2025-08-26T19:47:10.0096000Z         >>> dp = FileOpener(dp)
2025-08-26T19:47:10.0096060Z         >>> dp = StreamReader(dp)
2025-08-26T19:47:10.0096100Z         >>> list(dp)
2025-08-26T19:47:10.0096160Z         [('./abc.txt', 'abc')]
2025-08-26T19:47:10.0096190Z     
2025-08-26T19:47:10.0096340Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0096380Z     
2025-08-26T19:47:10.0096430Z       warnings.warn(msg)
2025-08-26T19:47:10.0096470Z     
2025-08-26T19:47:10.0096570Z --- Parse Warning: 123 / 146 ---
2025-08-26T19:47:10.0097340Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=GrouperIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py line=155.
2025-08-26T19:47:10.0097520Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0097560Z     
2025-08-26T19:47:10.0097800Z     Groups data from IterDataPipe by keys from ``group_key_fn``, yielding a ``DataChunk`` with batch size up to ``group_size``.
2025-08-26T19:47:10.0097840Z     
2025-08-26T19:47:10.0097900Z     (functional name: ``groupby``).
2025-08-26T19:47:10.0097940Z     
2025-08-26T19:47:10.0098170Z     The samples are read sequentially from the source ``datapipe``, and a batch of samples belonging to the same group
2025-08-26T19:47:10.0098350Z     will be yielded as soon as the size of the batch reaches ``group_size``. When the buffer is full,
2025-08-26T19:47:10.0098530Z     the DataPipe will yield the largest batch with the same key, provided that its size is larger
2025-08-26T19:47:10.0098720Z     than ``guaranteed_group_size``. If its size is smaller, it will be dropped if ``drop_remaining=True``.
2025-08-26T19:47:10.0098760Z     
2025-08-26T19:47:10.0098990Z     After iterating through the entirety of source ``datapipe``, everything not dropped due to the buffer capacity
2025-08-26T19:47:10.0099210Z     will be yielded from the buffer, even if the group sizes are smaller than ``guaranteed_group_size``.
2025-08-26T19:47:10.0099250Z     
2025-08-26T19:47:10.0099290Z     Args:
2025-08-26T19:47:10.0099370Z         datapipe: Iterable datapipe to be grouped
2025-08-26T19:47:10.0099540Z         group_key_fn: Function used to generate group key from the data of the source datapipe
2025-08-26T19:47:10.0099690Z         keep_key: Option to yield the matching key along with the items in a tuple,
2025-08-26T19:47:10.0099790Z             resulting in `(key, [items])` otherwise returning [items]
2025-08-26T19:47:10.0099890Z         buffer_size: The size of buffer for ungrouped data
2025-08-26T19:47:10.0100060Z         group_size: The max size of each group, a batch is yielded as soon as it reaches this size
2025-08-26T19:47:10.0100270Z         guaranteed_group_size: The guaranteed minimum group size to be yielded in case the buffer is full
2025-08-26T19:47:10.0100480Z         drop_remaining: Specifies if the group smaller than ``guaranteed_group_size`` will be dropped from buffer
2025-08-26T19:47:10.0100540Z             when the buffer is full
2025-08-26T19:47:10.0100580Z     
2025-08-26T19:47:10.0100620Z     Example:
2025-08-26T19:47:10.0100660Z         >>> import os
2025-08-26T19:47:10.0100720Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0100830Z         >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-26T19:47:10.0100880Z         >>> def group_fn(file):
2025-08-26T19:47:10.0100970Z         ...     return os.path.basename(file).split(".")[0]
2025-08-26T19:47:10.0101030Z         >>> source_dp = IterableWrapper(
2025-08-26T19:47:10.0101130Z         ...     ["a.png", "b.png", "a.json", "b.json", "a.jpg", "c.json"]
2025-08-26T19:47:10.0101170Z         ... )
2025-08-26T19:47:10.0101260Z         >>> dp0 = source_dp.groupby(group_key_fn=group_fn)
2025-08-26T19:47:10.0101310Z         >>> list(dp0)
2025-08-26T19:47:10.0101410Z         [['a.png', 'a.json', 'a.jpg'], ['b.png', 'b.json'], ['c.json']]
2025-08-26T19:47:10.0101530Z         >>> # A group is yielded as soon as its size equals to `group_size`
2025-08-26T19:47:10.0101650Z         >>> dp1 = source_dp.groupby(group_key_fn=group_fn, group_size=2)
2025-08-26T19:47:10.0101690Z         >>> list(dp1)
2025-08-26T19:47:10.0101790Z         [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']]
2025-08-26T19:47:10.0102000Z         >>> # Scenario where `buffer` is full, and group 'a' needs to be yielded since its size > `guaranteed_group_size`
2025-08-26T19:47:10.0102060Z         >>> dp2 = source_dp.groupby(
2025-08-26T19:47:10.0102120Z         ...     group_key_fn=group_fn,
2025-08-26T19:47:10.0102200Z         ...     buffer_size=3,
2025-08-26T19:47:10.0102260Z         ...     group_size=3,
2025-08-26T19:47:10.0102320Z         ...     guaranteed_group_size=2,
2025-08-26T19:47:10.0102380Z         ... )
2025-08-26T19:47:10.0102420Z         >>> list(dp2)
2025-08-26T19:47:10.0102520Z         [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']]
2025-08-26T19:47:10.0102570Z     
2025-08-26T19:47:10.0102720Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0102760Z     
2025-08-26T19:47:10.0102810Z       warnings.warn(msg)
2025-08-26T19:47:10.0102850Z     
2025-08-26T19:47:10.0102950Z --- Parse Warning: 124 / 146 ---
2025-08-26T19:47:10.0103700Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DemultiplexerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=375.
2025-08-26T19:47:10.0103860Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0103900Z     
2025-08-26T19:47:10.0104170Z     Splits the input DataPipe into multiple child DataPipes, using the given classification function (functional name: ``demux``).
2025-08-26T19:47:10.0104240Z     
2025-08-26T19:47:10.0104360Z     A list of the child DataPipes is returned from this operation.
2025-08-26T19:47:10.0104400Z     
2025-08-26T19:47:10.0104440Z     Args:
2025-08-26T19:47:10.0104520Z         datapipe: Iterable DataPipe being filtered
2025-08-26T19:47:10.0104640Z         num_instances: number of instances of the DataPipe to create
2025-08-26T19:47:10.0104860Z         classifier_fn: a function that maps values to an integer within the range ``[0, num_instances - 1]`` or ``None``
2025-08-26T19:47:10.0105050Z         drop_none: defaults to ``False``, if ``True``, the function will skip over elements classified as ``None``
2025-08-26T19:47:10.0105250Z         buffer_size: this defines the maximum number of inputs that the buffer can hold across all child
2025-08-26T19:47:10.0105360Z             DataPipes while waiting for their values to be yielded.
2025-08-26T19:47:10.0105460Z             Defaults to ``1000``. Use ``-1`` for the unlimited buffer.
2025-08-26T19:47:10.0105500Z     
2025-08-26T19:47:10.0105540Z     Examples:
2025-08-26T19:47:10.0105620Z         >>> # xdoctest: +REQUIRES(module:torchdata)
2025-08-26T19:47:10.0105720Z         >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-26T19:47:10.0105780Z         >>> def odd_or_even(n):
2025-08-26T19:47:10.0105830Z         ...     return n % 2
2025-08-26T19:47:10.0105900Z         >>> source_dp = IterableWrapper(range(5))
2025-08-26T19:47:10.0106030Z         >>> dp1, dp2 = source_dp.demux(num_instances=2, classifier_fn=odd_or_even)
2025-08-26T19:47:10.0106070Z         >>> list(dp1)
2025-08-26T19:47:10.0106110Z         [0, 2, 4]
2025-08-26T19:47:10.0106160Z         >>> list(dp2)
2025-08-26T19:47:10.0106200Z         [1, 3]
2025-08-26T19:47:10.0106350Z         >>> # It can also filter out any element that gets `None` from the `classifier_fn`
2025-08-26T19:47:10.0106410Z         >>> def odd_or_even_no_zero(n):
2025-08-26T19:47:10.0106480Z         ...     return n % 2 if n != 0 else None
2025-08-26T19:47:10.0106540Z         >>> dp1, dp2 = source_dp.demux(
2025-08-26T19:47:10.0106670Z         ...     num_instances=2, classifier_fn=odd_or_even_no_zero, drop_none=True
2025-08-26T19:47:10.0106710Z         ... )
2025-08-26T19:47:10.0106750Z         >>> list(dp1)
2025-08-26T19:47:10.0106790Z         [2, 4]
2025-08-26T19:47:10.0106830Z         >>> list(dp2)
2025-08-26T19:47:10.0106880Z         [1, 3]
2025-08-26T19:47:10.0106910Z     
2025-08-26T19:47:10.0107070Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0107100Z     
2025-08-26T19:47:10.0107160Z       warnings.warn(msg)
2025-08-26T19:47:10.0107200Z     
2025-08-26T19:47:10.0107370Z --- Parse Warning: 125 / 146 ---
2025-08-26T19:47:10.0108120Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MultiplexerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=594.
2025-08-26T19:47:10.0108310Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0108350Z     
2025-08-26T19:47:10.0108540Z     Yields one element at a time from each of the input Iterable DataPipes (functional name: ``mux``).
2025-08-26T19:47:10.0108580Z     
2025-08-26T19:47:10.0108780Z     As in, one element from the 1st input DataPipe, then one element from the 2nd DataPipe in the next iteration,
2025-08-26T19:47:10.0108900Z     and so on. It ends when the shortest input DataPipe is exhausted.
2025-08-26T19:47:10.0108940Z     
2025-08-26T19:47:10.0108990Z     Args:
2025-08-26T19:47:10.0109230Z         datapipes: Iterable DataPipes that will take turn to yield their elements, until the shortest DataPipe is exhausted
2025-08-26T19:47:10.0109270Z     
2025-08-26T19:47:10.0109310Z     Example:
2025-08-26T19:47:10.0109380Z         >>> # xdoctest: +REQUIRES(module:torchdata)
2025-08-26T19:47:10.0109530Z         >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-26T19:47:10.0109590Z         >>> dp1, dp2, dp3 = (
2025-08-26T19:47:10.0109650Z         ...     IterableWrapper(range(3)),
2025-08-26T19:47:10.0109720Z         ...     IterableWrapper(range(10, 15)),
2025-08-26T19:47:10.0109790Z         ...     IterableWrapper(range(20, 25)),
2025-08-26T19:47:10.0109830Z         ... )
2025-08-26T19:47:10.0109890Z         >>> list(dp1.mux(dp2, dp3))
2025-08-26T19:47:10.0109940Z         [0, 10, 20, 1, 11, 21, 2, 12, 22]
2025-08-26T19:47:10.0109980Z     
2025-08-26T19:47:10.0110130Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0110180Z     
2025-08-26T19:47:10.0110230Z       warnings.warn(msg)
2025-08-26T19:47:10.0110270Z     
2025-08-26T19:47:10.0110360Z --- Parse Warning: 126 / 146 ---
2025-08-26T19:47:10.0111090Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZipperIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=665.
2025-08-26T19:47:10.0111240Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0111290Z     
2025-08-26T19:47:10.0111470Z     Aggregates elements into a tuple from each of the input DataPipes (functional name: ``zip``).
2025-08-26T19:47:10.0111510Z     
2025-08-26T19:47:10.0111650Z     The output is stopped as soon as the shortest input DataPipe is exhausted.
2025-08-26T19:47:10.0111690Z     
2025-08-26T19:47:10.0111740Z     Args:
2025-08-26T19:47:10.0111820Z         *datapipes: Iterable DataPipes being aggregated
2025-08-26T19:47:10.0111870Z     
2025-08-26T19:47:10.0111910Z     Example:
2025-08-26T19:47:10.0111990Z         >>> # xdoctest: +REQUIRES(module:torchdata)
2025-08-26T19:47:10.0112100Z         >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-26T19:47:10.0112150Z         >>> dp1, dp2, dp3 = (
2025-08-26T19:47:10.0112210Z         ...     IterableWrapper(range(5)),
2025-08-26T19:47:10.0112280Z         ...     IterableWrapper(range(10, 15)),
2025-08-26T19:47:10.0112350Z         ...     IterableWrapper(range(20, 25)),
2025-08-26T19:47:10.0112390Z         ... )
2025-08-26T19:47:10.0112450Z         >>> list(dp1.zip(dp2, dp3))
2025-08-26T19:47:10.0112530Z         [(0, 10, 20), (1, 11, 21), (2, 12, 22), (3, 13, 23), (4, 14, 24)]
2025-08-26T19:47:10.0112570Z     
2025-08-26T19:47:10.0112720Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0112760Z     
2025-08-26T19:47:10.0112860Z       warnings.warn(msg)
2025-08-26T19:47:10.0112900Z     
2025-08-26T19:47:10.0113000Z --- Parse Warning: 127 / 146 ---
2025-08-26T19:47:10.0113680Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_close in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/testing/_comparison.py line=1331.
2025-08-26T19:47:10.0113840Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0113930Z     Asserts that ``actual`` and ``expected`` are close.
2025-08-26T19:47:10.0113970Z     
2025-08-26T19:47:10.0114190Z         If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if
2025-08-26T19:47:10.0114230Z     
2025-08-26T19:47:10.0114280Z         .. math::
2025-08-26T19:47:10.0114320Z     
2025-08-26T19:47:10.0114540Z             \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert
2025-08-26T19:47:10.0114580Z     
2025-08-26T19:47:10.0114790Z         Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are
2025-08-26T19:47:10.0114950Z         only considered equal to each other if ``equal_nan`` is ``True``.
2025-08-26T19:47:10.0114990Z     
2025-08-26T19:47:10.0115110Z         In addition, they are only considered close if they have the same
2025-08-26T19:47:10.0115150Z     
2025-08-26T19:47:10.0115270Z         - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``),
2025-08-26T19:47:10.0115350Z         - ``dtype`` (if ``check_dtype`` is ``True``),
2025-08-26T19:47:10.0115430Z         - ``layout`` (if ``check_layout`` is ``True``), and
2025-08-26T19:47:10.0115510Z         - stride (if ``check_stride`` is ``True``).
2025-08-26T19:47:10.0115550Z     
2025-08-26T19:47:10.0115730Z         If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed.
2025-08-26T19:47:10.0115770Z     
2025-08-26T19:47:10.0115980Z         If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are
2025-08-26T19:47:10.0116200Z         checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR,
2025-08-26T19:47:10.0116340Z         or ``ccol_indices``  and ``row_indices`` for CSC and BSC layouts, respectively,
2025-08-26T19:47:10.0116570Z         are always checked for equality whereas the values are checked for closeness according to the definition above.
2025-08-26T19:47:10.0116610Z     
2025-08-26T19:47:10.0116780Z         If ``actual`` and ``expected`` are quantized, they are considered close if they have the same
2025-08-26T19:47:10.0116990Z         :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the
2025-08-26T19:47:10.0117050Z         definition above.
2025-08-26T19:47:10.0117090Z     
2025-08-26T19:47:10.0117270Z         ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which
2025-08-26T19:47:10.0117500Z         :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types
2025-08-26T19:47:10.0117720Z         have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s
2025-08-26T19:47:10.0117940Z         or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all
2025-08-26T19:47:10.0118080Z         their elements are considered close according to the above definition.
2025-08-26T19:47:10.0118120Z     
2025-08-26T19:47:10.0118160Z         .. note::
2025-08-26T19:47:10.0118200Z     
2025-08-26T19:47:10.0118400Z             Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e.
2025-08-26T19:47:10.0118660Z             :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus,
2025-08-26T19:47:10.0118830Z             Python scalars of different types can be checked, but require ``check_dtype=False``.
2025-08-26T19:47:10.0118900Z     
2025-08-26T19:47:10.0118940Z         Args:
2025-08-26T19:47:10.0119010Z             actual (Any): Actual input.
2025-08-26T19:47:10.0119070Z             expected (Any): Expected input.
2025-08-26T19:47:10.0119290Z             allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types
2025-08-26T19:47:10.0119380Z                 are allowed. Otherwise type equality is required.
2025-08-26T19:47:10.0119610Z             rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default
2025-08-26T19:47:10.0119770Z                 values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-08-26T19:47:10.0119990Z             atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default
2025-08-26T19:47:10.0120150Z                 values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-08-26T19:47:10.0120310Z             equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal.
2025-08-26T19:47:10.0120510Z             check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same
2025-08-26T19:47:10.0120670Z                 :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different
2025-08-26T19:47:10.0120810Z                 :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared.
2025-08-26T19:47:10.0121010Z             check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this
2025-08-26T19:47:10.0121220Z                 check is disabled, tensors with different ``dtype``'s are promoted  to a common ``dtype`` (according to
2025-08-26T19:47:10.0121320Z                 :func:`torch.promote_types`) before being compared.
2025-08-26T19:47:10.0121530Z             check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this
2025-08-26T19:47:10.0121740Z                 check is disabled, tensors with different ``layout``'s are converted to strided tensors before being
2025-08-26T19:47:10.0121780Z                 compared.
2025-08-26T19:47:10.0122000Z             check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride.
2025-08-26T19:47:10.0122210Z             msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during
2025-08-26T19:47:10.0122420Z                 the comparison. Can also passed as callable in which case it will be called with the generated message and
2025-08-26T19:47:10.0122490Z                 should return the new message.
2025-08-26T19:47:10.0122520Z     
2025-08-26T19:47:10.0122570Z         Raises:
2025-08-26T19:47:10.0122710Z             ValueError: If no :class:`torch.Tensor` can be constructed from an input.
2025-08-26T19:47:10.0122820Z             ValueError: If only ``rtol`` or ``atol`` is specified.
2025-08-26T19:47:10.0123010Z             AssertionError: If corresponding inputs are not Python scalars and are not directly related.
2025-08-26T19:47:10.0123230Z             AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have
2025-08-26T19:47:10.0123280Z                 different types.
2025-08-26T19:47:10.0123500Z             AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match.
2025-08-26T19:47:10.0123720Z             AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match.
2025-08-26T19:47:10.0123960Z             AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`.
2025-08-26T19:47:10.0124140Z             AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same
2025-08-26T19:47:10.0124240Z                 :attr:`~torch.Tensor.layout`.
2025-08-26T19:47:10.0124370Z             AssertionError: If only one of corresponding tensors is quantized.
2025-08-26T19:47:10.0124600Z             AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s.
2025-08-26T19:47:10.0124770Z             AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same
2025-08-26T19:47:10.0124840Z                 :attr:`~torch.Tensor.device`.
2025-08-26T19:47:10.0125030Z             AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``.
2025-08-26T19:47:10.0125250Z             AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride.
2025-08-26T19:47:10.0125460Z             AssertionError: If the values of corresponding tensors are not close according to the definition above.
2025-08-26T19:47:10.0125510Z     
2025-08-26T19:47:10.0125720Z         The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching
2025-08-26T19:47:10.0125850Z         ``dtype``'s, the maximum of both tolerances is used.
2025-08-26T19:47:10.0125890Z     
2025-08-26T19:47:10.0125970Z         +---------------------------+------------+----------+
2025-08-26T19:47:10.0126050Z         | ``dtype``                 | ``rtol``   | ``atol`` |
2025-08-26T19:47:10.0126120Z         +===========================+============+==========+
2025-08-26T19:47:10.0126200Z         | :attr:`~torch.float16`    | ``1e-3``   | ``1e-5`` |
2025-08-26T19:47:10.0126280Z         +---------------------------+------------+----------+
2025-08-26T19:47:10.0126360Z         | :attr:`~torch.bfloat16`   | ``1.6e-2`` | ``1e-5`` |
2025-08-26T19:47:10.0126440Z         +---------------------------+------------+----------+
2025-08-26T19:47:10.0126520Z         | :attr:`~torch.float32`    | ``1.3e-6`` | ``1e-5`` |
2025-08-26T19:47:10.0126600Z         +---------------------------+------------+----------+
2025-08-26T19:47:10.0126680Z         | :attr:`~torch.float64`    | ``1e-7``   | ``1e-7`` |
2025-08-26T19:47:10.0126760Z         +---------------------------+------------+----------+
2025-08-26T19:47:10.0126850Z         | :attr:`~torch.complex32`  | ``1e-3``   | ``1e-5`` |
2025-08-26T19:47:10.0126920Z         +---------------------------+------------+----------+
2025-08-26T19:47:10.0127010Z         | :attr:`~torch.complex64`  | ``1.3e-6`` | ``1e-5`` |
2025-08-26T19:47:10.0127080Z         +---------------------------+------------+----------+
2025-08-26T19:47:10.0127160Z         | :attr:`~torch.complex128` | ``1e-7``   | ``1e-7`` |
2025-08-26T19:47:10.0127240Z         +---------------------------+------------+----------+
2025-08-26T19:47:10.0127320Z         | :attr:`~torch.quint8`     | ``1.3e-6`` | ``1e-5`` |
2025-08-26T19:47:10.0127400Z         +---------------------------+------------+----------+
2025-08-26T19:47:10.0127480Z         | :attr:`~torch.quint2x4`   | ``1.3e-6`` | ``1e-5`` |
2025-08-26T19:47:10.0127550Z         +---------------------------+------------+----------+
2025-08-26T19:47:10.0127640Z         | :attr:`~torch.quint4x2`   | ``1.3e-6`` | ``1e-5`` |
2025-08-26T19:47:10.0127710Z         +---------------------------+------------+----------+
2025-08-26T19:47:10.0127790Z         | :attr:`~torch.qint8`      | ``1.3e-6`` | ``1e-5`` |
2025-08-26T19:47:10.0127870Z         +---------------------------+------------+----------+
2025-08-26T19:47:10.0127940Z         | :attr:`~torch.qint32`     | ``1.3e-6`` | ``1e-5`` |
2025-08-26T19:47:10.0128020Z         +---------------------------+------------+----------+
2025-08-26T19:47:10.0128090Z         | other                     | ``0.0``    | ``0.0``  |
2025-08-26T19:47:10.0128240Z         +---------------------------+------------+----------+
2025-08-26T19:47:10.0128290Z     
2025-08-26T19:47:10.0128330Z         .. note::
2025-08-26T19:47:10.0128370Z     
2025-08-26T19:47:10.0128600Z             :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged
2025-08-26T19:47:10.0128850Z             to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might
2025-08-26T19:47:10.0129010Z             define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default:
2025-08-26T19:47:10.0129050Z     
2025-08-26T19:47:10.0129100Z             >>> import functools
2025-08-26T19:47:10.0129250Z             >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0)
2025-08-26T19:47:10.0129320Z             >>> assert_equal(1e-9, 1e-10)
2025-08-26T19:47:10.0129390Z             Traceback (most recent call last):
2025-08-26T19:47:10.0129430Z             ...
2025-08-26T19:47:10.0129500Z             AssertionError: Scalars are not equal!
2025-08-26T19:47:10.0129550Z             <BLANKLINE>
2025-08-26T19:47:10.0129610Z             Expected 1e-10 but got 1e-09.
2025-08-26T19:47:10.0129690Z             Absolute difference: 9.000000000000001e-10
2025-08-26T19:47:10.0129740Z             Relative difference: 9.0
2025-08-26T19:47:10.0129820Z     
2025-08-26T19:47:10.0129870Z         Examples:
2025-08-26T19:47:10.0129930Z             >>> # tensor to tensor comparison
2025-08-26T19:47:10.0130010Z             >>> expected = torch.tensor([1e0, 1e-1, 1e-2])
2025-08-26T19:47:10.0130090Z             >>> actual = torch.acos(torch.cos(expected))
2025-08-26T19:47:10.0130180Z             >>> torch.testing.assert_close(actual, expected)
2025-08-26T19:47:10.0130210Z     
2025-08-26T19:47:10.0130280Z             >>> # scalar to scalar comparison
2025-08-26T19:47:10.0130330Z             >>> import math
2025-08-26T19:47:10.0130390Z             >>> expected = math.sqrt(2.0)
2025-08-26T19:47:10.0130450Z             >>> actual = 2.0 / math.sqrt(2.0)
2025-08-26T19:47:10.0130540Z             >>> torch.testing.assert_close(actual, expected)
2025-08-26T19:47:10.0130580Z     
2025-08-26T19:47:10.0130660Z             >>> # numpy array to numpy array comparison
2025-08-26T19:47:10.0130710Z             >>> import numpy as np
2025-08-26T19:47:10.0130790Z             >>> expected = np.array([1e0, 1e-1, 1e-2])
2025-08-26T19:47:10.0130860Z             >>> actual = np.arccos(np.cos(expected))
2025-08-26T19:47:10.0130940Z             >>> torch.testing.assert_close(actual, expected)
2025-08-26T19:47:10.0130980Z     
2025-08-26T19:47:10.0131050Z             >>> # sequence to sequence comparison
2025-08-26T19:47:10.0131110Z             >>> import numpy as np
2025-08-26T19:47:10.0131270Z             >>> # The types of the sequences do not have to match. They only have to have the same
2025-08-26T19:47:10.0131350Z             >>> # length and their elements have to match.
2025-08-26T19:47:10.0131450Z             >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)]
2025-08-26T19:47:10.0131510Z             >>> actual = tuple(expected)
2025-08-26T19:47:10.0131600Z             >>> torch.testing.assert_close(actual, expected)
2025-08-26T19:47:10.0131640Z     
2025-08-26T19:47:10.0131710Z             >>> # mapping to mapping comparison
2025-08-26T19:47:10.0131780Z             >>> from collections import OrderedDict
2025-08-26T19:47:10.0131840Z             >>> import numpy as np
2025-08-26T19:47:10.0131900Z             >>> foo = torch.tensor(1.0)
2025-08-26T19:47:10.0131950Z             >>> bar = 2.0
2025-08-26T19:47:10.0132000Z             >>> baz = np.array(3.0)
2025-08-26T19:47:10.0132160Z             >>> # The types and a possible ordering of mappings do not have to match. They only
2025-08-26T19:47:10.0132280Z             >>> # have to have the same set of keys and their elements have to match.
2025-08-26T19:47:10.0132410Z             >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)])
2025-08-26T19:47:10.0132560Z             >>> actual = {"baz": baz, "bar": bar, "foo": foo}
2025-08-26T19:47:10.0132650Z             >>> torch.testing.assert_close(actual, expected)
2025-08-26T19:47:10.0132690Z     
2025-08-26T19:47:10.0132810Z             >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-08-26T19:47:10.0132870Z             >>> actual = expected.clone()
2025-08-26T19:47:10.0132990Z             >>> # By default, directly related instances can be compared
2025-08-26T19:47:10.0136450Z             >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected)
2025-08-26T19:47:10.0136610Z             >>> # This check can be made more strict with allow_subclasses=False
2025-08-26T19:47:10.0136680Z             >>> torch.testing.assert_close(
2025-08-26T19:47:10.0136800Z             ...     torch.nn.Parameter(actual), expected, allow_subclasses=False
2025-08-26T19:47:10.0136850Z             ... )
2025-08-26T19:47:10.0136920Z             Traceback (most recent call last):
2025-08-26T19:47:10.0136960Z             ...
2025-08-26T19:47:10.0137100Z             TypeError: No comparison pair was able to handle inputs of type
2025-08-26T19:47:10.0137230Z             <class 'torch.nn.parameter.Parameter'> and <class 'torch.Tensor'>.
2025-08-26T19:47:10.0137370Z             >>> # If the inputs are not directly related, they are never considered close
2025-08-26T19:47:10.0137570Z             >>> torch.testing.assert_close(actual.numpy(), expected)
2025-08-26T19:47:10.0137650Z             Traceback (most recent call last):
2025-08-26T19:47:10.0137690Z             ...
2025-08-26T19:47:10.0137870Z             TypeError: No comparison pair was able to handle inputs of type <class 'numpy.ndarray'>
2025-08-26T19:47:10.0137930Z             and <class 'torch.Tensor'>.
2025-08-26T19:47:10.0138090Z             >>> # Exceptions to these rules are Python scalars. They can be checked regardless of
2025-08-26T19:47:10.0138160Z             >>> # their type if check_dtype=False.
2025-08-26T19:47:10.0138270Z             >>> torch.testing.assert_close(1.0, 1, check_dtype=False)
2025-08-26T19:47:10.0138320Z     
2025-08-26T19:47:10.0138380Z             >>> # NaN != NaN by default.
2025-08-26T19:47:10.0138460Z             >>> expected = torch.tensor(float("Nan"))
2025-08-26T19:47:10.0138520Z             >>> actual = expected.clone()
2025-08-26T19:47:10.0138610Z             >>> torch.testing.assert_close(actual, expected)
2025-08-26T19:47:10.0138690Z             Traceback (most recent call last):
2025-08-26T19:47:10.0138730Z             ...
2025-08-26T19:47:10.0138800Z             AssertionError: Scalars are not close!
2025-08-26T19:47:10.0138850Z             <BLANKLINE>
2025-08-26T19:47:10.0138910Z             Expected nan but got nan.
2025-08-26T19:47:10.0139000Z             Absolute difference: nan (up to 1e-05 allowed)
2025-08-26T19:47:10.0139090Z             Relative difference: nan (up to 1.3e-06 allowed)
2025-08-26T19:47:10.0139210Z             >>> torch.testing.assert_close(actual, expected, equal_nan=True)
2025-08-26T19:47:10.0139250Z     
2025-08-26T19:47:10.0139330Z             >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-08-26T19:47:10.0139410Z             >>> actual = torch.tensor([1.0, 4.0, 5.0])
2025-08-26T19:47:10.0139500Z             >>> # The default error message can be overwritten.
2025-08-26T19:47:10.0139570Z             >>> torch.testing.assert_close(
2025-08-26T19:47:10.0139690Z             ...     actual, expected, msg="Argh, the tensors are not close!"
2025-08-26T19:47:10.0139730Z             ... )
2025-08-26T19:47:10.0139800Z             Traceback (most recent call last):
2025-08-26T19:47:10.0139840Z             ...
2025-08-26T19:47:10.0139930Z             AssertionError: Argh, the tensors are not close!
2025-08-26T19:47:10.0140070Z             >>> # If msg is a callable, it can be used to augment the generated message with
2025-08-26T19:47:10.0140130Z             >>> # extra information
2025-08-26T19:47:10.0140200Z             >>> torch.testing.assert_close(
2025-08-26T19:47:10.0140360Z             ...     actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter"
2025-08-26T19:47:10.0140410Z             ... )
2025-08-26T19:47:10.0140480Z             Traceback (most recent call last):
2025-08-26T19:47:10.0140520Z             ...
2025-08-26T19:47:10.0140610Z             AssertionError: Header
2025-08-26T19:47:10.0140660Z             <BLANKLINE>
2025-08-26T19:47:10.0140720Z             Tensor-likes are not close!
2025-08-26T19:47:10.0140770Z             <BLANKLINE>
2025-08-26T19:47:10.0140840Z             Mismatched elements: 2 / 3 (66.7%)
2025-08-26T19:47:10.0140980Z             Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed)
2025-08-26T19:47:10.0141110Z             Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed)
2025-08-26T19:47:10.0141160Z             <BLANKLINE>
2025-08-26T19:47:10.0141200Z             Footer
2025-08-26T19:47:10.0141240Z         
2025-08-26T19:47:10.0141400Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0141440Z     
2025-08-26T19:47:10.0141500Z       warnings.warn(msg)
2025-08-26T19:47:10.0141540Z     
2025-08-26T19:47:10.0141690Z --- Parse Warning: 128 / 146 ---
2025-08-26T19:47:10.0142340Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=triton_op in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/triton.py line=96.
2025-08-26T19:47:10.0142530Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0142680Z     Create a custom operator whose implementation is backed by 1+ triton kernels.
2025-08-26T19:47:10.0142730Z     
2025-08-26T19:47:10.0142860Z         This is a more structured way of using triton kernels with PyTorch.
2025-08-26T19:47:10.0143020Z         Prefer using triton kernels with no ``torch.library`` custom operator wrappers
2025-08-26T19:47:10.0143170Z         (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because
2025-08-26T19:47:10.0143230Z         that is simpler;
2025-08-26T19:47:10.0143380Z         only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you
2025-08-26T19:47:10.0143530Z         want to create an operator that behaves like PyTorch built-in operators.
2025-08-26T19:47:10.0143660Z         For example, you may use a ``torch.library`` wrapper API to define the
2025-08-26T19:47:10.0143790Z         behavior of the triton kernel when passed a tensor subclass or under
2025-08-26T19:47:10.0143850Z         a TorchDispatchMode.
2025-08-26T19:47:10.0143890Z     
2025-08-26T19:47:10.0144040Z         Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op`
2025-08-26T19:47:10.0144100Z         when the implementation
2025-08-26T19:47:10.0144250Z         consists of 1+ triton kernels. :func:`torch.library.custom_op` treats
2025-08-26T19:47:10.0144360Z         custom operators as opaque (:func:`torch.compile` and
2025-08-26T19:47:10.0144500Z         :func:`torch.export.export` will never trace into them), but ``triton_op``
2025-08-26T19:47:10.0144630Z         makes the implementation visible to these subsystems, allowing them
2025-08-26T19:47:10.0144700Z         to optimize the triton kernel(s).
2025-08-26T19:47:10.0144740Z     
2025-08-26T19:47:10.0144860Z         Note that ``fn`` must only consist of calls to PyTorch-understood
2025-08-26T19:47:10.0145000Z         operators and triton kernels. Any triton kernels called inside ``fn``
2025-08-26T19:47:10.0145120Z         must be wrapped in a call to :func:`torch.library.wrap_triton`.
2025-08-26T19:47:10.0145160Z     
2025-08-26T19:47:10.0145200Z         Args:
2025-08-26T19:47:10.0145350Z             name (str): A name for the custom op that looks like "{namespace}::{name}",
2025-08-26T19:47:10.0145480Z                 e.g. "mylib::my_linear". The name is used as the op's stable identifier
2025-08-26T19:47:10.0145580Z                 in PyTorch subsystems (e.g. torch.export, FX graphs).
2025-08-26T19:47:10.0145770Z                 To avoid name collisions, please use your project name as the namespace;
2025-08-26T19:47:10.0145900Z                 e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace.
2025-08-26T19:47:10.0146100Z             mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates.
2025-08-26T19:47:10.0146250Z                 This MUST be accurate, otherwise, the behavior is undefined. If "unknown",
2025-08-26T19:47:10.0146410Z                 it pessimistically assumes that all inputs to the operator are being mutated.
2025-08-26T19:47:10.0146530Z             schema (None | str): A schema string for the operator. If None
2025-08-26T19:47:10.0146660Z                 (recommended) we'll infer a schema for the operator from its type
2025-08-26T19:47:10.0146780Z                 annotations. We recommend letting us infer a schema unless you
2025-08-26T19:47:10.0146850Z                 have a specific reason not to.
2025-08-26T19:47:10.0146940Z                 Example: "(Tensor x, int y) -> (Tensor, Tensor)".
2025-08-26T19:47:10.0146990Z     
2025-08-26T19:47:10.0147030Z         Example::
2025-08-26T19:47:10.0147070Z     
2025-08-26T19:47:10.0147150Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-26T19:47:10.0147200Z             >>> import torch
2025-08-26T19:47:10.0147320Z             >>> from torch.library import triton_op, wrap_triton
2025-08-26T19:47:10.0147360Z             >>>
2025-08-26T19:47:10.0147410Z             >>> import triton
2025-08-26T19:47:10.0147480Z             >>> from triton import language as tl
2025-08-26T19:47:10.0147520Z             >>>
2025-08-26T19:47:10.0147570Z             >>> @triton.jit
2025-08-26T19:47:10.0147630Z             >>> def add_kernel(
2025-08-26T19:47:10.0147670Z             >>>     in_ptr0,
2025-08-26T19:47:10.0147720Z             >>>     in_ptr1,
2025-08-26T19:47:10.0147770Z             >>>     out_ptr,
2025-08-26T19:47:10.0147820Z             >>>     n_elements,
2025-08-26T19:47:10.0147880Z             >>>     BLOCK_SIZE: "tl.constexpr",
2025-08-26T19:47:10.0147930Z             >>> ):
2025-08-26T19:47:10.0147990Z             >>>     pid = tl.program_id(axis=0)
2025-08-26T19:47:10.0148060Z             >>>     block_start = pid * BLOCK_SIZE
2025-08-26T19:47:10.0148150Z             >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-08-26T19:47:10.0148220Z             >>>     mask = offsets < n_elements
2025-08-26T19:47:10.0148300Z             >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-08-26T19:47:10.0148380Z             >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-08-26T19:47:10.0148430Z             >>>     output = x + y
2025-08-26T19:47:10.0148520Z             >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-08-26T19:47:10.0148560Z             >>>
2025-08-26T19:47:10.0148640Z             >>> @triton_op("mylib::add", mutates_args={})
2025-08-26T19:47:10.0148750Z             >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
2025-08-26T19:47:10.0148820Z             >>>     output = torch.empty_like(x)
2025-08-26T19:47:10.0148890Z             >>>     n_elements = output.numel()
2025-08-26T19:47:10.0148930Z             >>>
2025-08-26T19:47:10.0148980Z             >>>     def grid(meta):
2025-08-26T19:47:10.0149100Z             >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-08-26T19:47:10.0149150Z             >>>
2025-08-26T19:47:10.0149260Z             >>>     # NB: we need to wrap the triton kernel in a call to wrap_triton
2025-08-26T19:47:10.0149380Z             >>>     wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16)
2025-08-26T19:47:10.0149430Z             >>>     return output
2025-08-26T19:47:10.0149470Z             >>>
2025-08-26T19:47:10.0149520Z             >>> @torch.compile
2025-08-26T19:47:10.0149570Z             >>> def f(x, y):
2025-08-26T19:47:10.0149620Z             >>>     return add(x, y)
2025-08-26T19:47:10.0149660Z             >>>
2025-08-26T19:47:10.0149800Z             >>> x = torch.randn(3, device="cuda")
2025-08-26T19:47:10.0149870Z             >>> y = torch.randn(3, device="cuda")
2025-08-26T19:47:10.0149910Z             >>>
2025-08-26T19:47:10.0149960Z             >>> z = f(x, y)
2025-08-26T19:47:10.0150060Z             >>> assert torch.allclose(z, x + y)
2025-08-26T19:47:10.0150100Z     
2025-08-26T19:47:10.0150140Z         
2025-08-26T19:47:10.0150300Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0150340Z     
2025-08-26T19:47:10.0150390Z       warnings.warn(msg)
2025-08-26T19:47:10.0150430Z     
2025-08-26T19:47:10.0150530Z --- Parse Warning: 129 / 146 ---
2025-08-26T19:47:10.0151180Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=wrap_triton in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/triton.py line=296.
2025-08-26T19:47:10.0151330Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0151450Z     Allows capture of a triton kernel into a graph via make_fx or
2025-08-26T19:47:10.0151510Z         non-strict ``torch.export``.
2025-08-26T19:47:10.0151550Z     
2025-08-26T19:47:10.0151660Z         These technologies perform Dispatcher-based tracing (via
2025-08-26T19:47:10.0151830Z         ``__torch_dispatch__``) and cannot see calls to raw triton kernels.
2025-08-26T19:47:10.0151950Z         The ``wrap_triton`` API wraps a triton kernel into a callable that
2025-08-26T19:47:10.0152020Z         can actually be traced into a graph.
2025-08-26T19:47:10.0152060Z     
2025-08-26T19:47:10.0152190Z         Please use this API together with :func:`torch.library.triton_op`.
2025-08-26T19:47:10.0152230Z     
2025-08-26T19:47:10.0152270Z         Examples:
2025-08-26T19:47:10.0152310Z     
2025-08-26T19:47:10.0152360Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0152410Z             >>> import torch
2025-08-26T19:47:10.0152470Z             >>> import triton
2025-08-26T19:47:10.0152540Z             >>> from triton import language as tl
2025-08-26T19:47:10.0152650Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-08-26T19:47:10.0152730Z             >>> from torch.library import wrap_triton
2025-08-26T19:47:10.0152770Z             >>>
2025-08-26T19:47:10.0152820Z             >>> @triton.jit
2025-08-26T19:47:10.0152870Z             >>> def add_kernel(
2025-08-26T19:47:10.0152910Z             >>>     in_ptr0,
2025-08-26T19:47:10.0152960Z             >>>     in_ptr1,
2025-08-26T19:47:10.0153010Z             >>>     out_ptr,
2025-08-26T19:47:10.0153060Z             >>>     n_elements,
2025-08-26T19:47:10.0153120Z             >>>     BLOCK_SIZE: "tl.constexpr",
2025-08-26T19:47:10.0153170Z             >>> ):
2025-08-26T19:47:10.0153230Z             >>>     pid = tl.program_id(axis=0)
2025-08-26T19:47:10.0153300Z             >>>     block_start = pid * BLOCK_SIZE
2025-08-26T19:47:10.0153390Z             >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-08-26T19:47:10.0153460Z             >>>     mask = offsets < n_elements
2025-08-26T19:47:10.0153530Z             >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-08-26T19:47:10.0153610Z             >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-08-26T19:47:10.0153670Z             >>>     output = x + y
2025-08-26T19:47:10.0153760Z             >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-08-26T19:47:10.0153800Z             >>>
2025-08-26T19:47:10.0153850Z             >>> def add(x, y):
2025-08-26T19:47:10.0153920Z             >>>     output = torch.empty_like(x)
2025-08-26T19:47:10.0153980Z             >>>     n_elements = output.numel()
2025-08-26T19:47:10.0154030Z             >>>
2025-08-26T19:47:10.0154080Z             >>>     def grid_fn(meta):
2025-08-26T19:47:10.0154190Z             >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-08-26T19:47:10.0154230Z             >>>
2025-08-26T19:47:10.0154390Z             >>>     wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16)
2025-08-26T19:47:10.0154450Z             >>>     return output
2025-08-26T19:47:10.0154520Z             >>>
2025-08-26T19:47:10.0154580Z             >>> x = torch.randn(3, device="cuda")
2025-08-26T19:47:10.0154650Z             >>> y = torch.randn(3, device="cuda")
2025-08-26T19:47:10.0154710Z             >>> gm = make_fx(add)(x, y)
2025-08-26T19:47:10.0154760Z             >>> print(gm.code)
2025-08-26T19:47:10.0154830Z             >>> # def forward(self, x_1, y_1):
2025-08-26T19:47:10.0154970Z             >>> #     empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False)
2025-08-26T19:47:10.0155120Z             >>> #     triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation(
2025-08-26T19:47:10.0155200Z             >>> #         kernel_idx = 0, constant_args_idx = 0,
2025-08-26T19:47:10.0155270Z             >>> #         grid = [(1, 1, 1)], kwargs = {
2025-08-26T19:47:10.0155370Z             >>> #             'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like,
2025-08-26T19:47:10.0155450Z             >>> #             'n_elements': 3, 'BLOCK_SIZE': 16
2025-08-26T19:47:10.0155500Z             >>> #         })
2025-08-26T19:47:10.0155560Z             >>> #     return empty_like
2025-08-26T19:47:10.0155620Z     
2025-08-26T19:47:10.0155660Z         
2025-08-26T19:47:10.0155810Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0155860Z     
2025-08-26T19:47:10.0155910Z       warnings.warn(msg)
2025-08-26T19:47:10.0155950Z     
2025-08-26T19:47:10.0156050Z --- Parse Warning: 130 / 146 ---
2025-08-26T19:47:10.0156750Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/fake_profile.py line=94.
2025-08-26T19:47:10.0156910Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0156950Z     
2025-08-26T19:47:10.0157090Z     Registers a fake kernel based on the given operator profiles. This fake
2025-08-26T19:47:10.0157240Z     kernel registration will override any existing fake kernel registrations.
2025-08-26T19:47:10.0157280Z     
2025-08-26T19:47:10.0157410Z     The input is a dictionary mapping operator names to a set of operator
2025-08-26T19:47:10.0157550Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-08-26T19:47:10.0157670Z     are a record of the input and output tensor metadata. Based on this
2025-08-26T19:47:10.0157820Z     information we will match a given input to the recorded profile, and return
2025-08-26T19:47:10.0157950Z     an output with the same metadata as in the recorded profile. If a profile
2025-08-26T19:47:10.0158040Z     doesn't exist then an exception will be thrown.
2025-08-26T19:47:10.0158080Z     
2025-08-26T19:47:10.0158220Z     The fake kernel generation is considered unsafe because it relies on the
2025-08-26T19:47:10.0158360Z     rigid, pre-defined operator profiles that do not account for potential
2025-08-26T19:47:10.0158520Z     variations in output behavior. Specifically, the generated kernels assume a
2025-08-26T19:47:10.0158670Z     fixed relationship between input and output ranks. However, in reality, it's
2025-08-26T19:47:10.0158820Z     possible that data-dependent operations may produce outputs of different
2025-08-26T19:47:10.0158950Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-08-26T19:47:10.0159080Z     are inflexible and unable to accommodate these nuances, making them
2025-08-26T19:47:10.0159130Z     potentially unsafe.
2025-08-26T19:47:10.0159170Z     
2025-08-26T19:47:10.0159210Z     Args:
2025-08-26T19:47:10.0159340Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-08-26T19:47:10.0159510Z             name to a set of operator profiles from which we will generate fake
2025-08-26T19:47:10.0159550Z             kernels.
2025-08-26T19:47:10.0159600Z     
2025-08-26T19:47:10.0159670Z     Examples:
2025-08-26T19:47:10.0159710Z     
2025-08-26T19:47:10.0159820Z         >>> # Example: Registering an op-profile from draft-export
2025-08-26T19:47:10.0159870Z         >>> import torch
2025-08-26T19:47:10.0159970Z         >>> from torch.export._draft_export import draft_export
2025-08-26T19:47:10.0160010Z         >>>
2025-08-26T19:47:10.0160120Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-08-26T19:47:10.0160200Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-08-26T19:47:10.0160250Z         >>>     return x + y
2025-08-26T19:47:10.0160290Z         >>>
2025-08-26T19:47:10.0160350Z         >>> class M(torch.nn.Module):
2025-08-26T19:47:10.0160410Z         >>>     def forward(self, a, b):
2025-08-26T19:47:10.0160510Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-08-26T19:47:10.0160560Z         >>>         return res
2025-08-26T19:47:10.0160600Z         >>>
2025-08-26T19:47:10.0160710Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-08-26T19:47:10.0160760Z         >>>
2025-08-26T19:47:10.0160940Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-08-26T19:47:10.0161040Z         >>>     decomp = ep.run_decompositions()
2025-08-26T19:47:10.0161080Z     
2025-08-26T19:47:10.0161120Z     
2025-08-26T19:47:10.0161270Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0161310Z     
2025-08-26T19:47:10.0161370Z       warnings.warn(msg)
2025-08-26T19:47:10.0161410Z     
2025-08-26T19:47:10.0161510Z --- Parse Warning: 131 / 146 ---
2025-08-26T19:47:10.0162220Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_library/custom_ops.py line=397.
2025-08-26T19:47:10.0162370Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-26T19:47:10.0162480Z     Register a FakeTensor implementation for this custom op.
2025-08-26T19:47:10.0162530Z     
2025-08-26T19:47:10.0162680Z             This is necessary to get the operator to work efficiently with torch.compile.
2025-08-26T19:47:10.0162720Z     
2025-08-26T19:47:10.0162850Z             The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-08-26T19:47:10.0163000Z             specifies the behavior of this operator on Tensors that carry no data.
2025-08-26T19:47:10.0163090Z             Given some input Tensors with certain properties
2025-08-26T19:47:10.0163250Z             (sizes/strides/storage_offset/device), it specifies what the properties of
2025-08-26T19:47:10.0163310Z             the output Tensors are.
2025-08-26T19:47:10.0163350Z     
2025-08-26T19:47:10.0163470Z             Please see :func:`torch.library.register_fake` for more details.
2025-08-26T19:47:10.0163520Z     
2025-08-26T19:47:10.0163570Z             Args:
2025-08-26T19:47:10.0163670Z                 fn (Callable): The function to register as the FakeTensor
2025-08-26T19:47:10.0163730Z                     implementation.
2025-08-26T19:47:10.0163770Z     
2025-08-26T19:47:10.0163830Z             Examples:
2025-08-26T19:47:10.0163880Z                 >>> import torch
2025-08-26T19:47:10.0163940Z                 >>> import numpy as np
2025-08-26T19:47:10.0164010Z                 >>> from torch import Tensor
2025-08-26T19:47:10.0164050Z                 >>>
2025-08-26T19:47:10.0164170Z                 >>> # Example 1: an operator without data-dependent output shape
2025-08-26T19:47:10.0164290Z                 >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-08-26T19:47:10.0164450Z                 >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-26T19:47:10.0164530Z                 >>>     return (x @ weight.t()) + bias
2025-08-26T19:47:10.0164580Z                 >>>
2025-08-26T19:47:10.0164660Z                 >>> @linear.register_fake
2025-08-26T19:47:10.0164720Z                 >>> def _(x, weight, bias):
2025-08-26T19:47:10.0164780Z                 >>>     assert x.dim() == 2
2025-08-26T19:47:10.0164850Z                 >>>     assert weight.dim() == 2
2025-08-26T19:47:10.0164910Z                 >>>     assert bias.dim() == 1
2025-08-26T19:47:10.0164990Z                 >>>     assert x.shape[1] == weight.shape[1]
2025-08-26T19:47:10.0165070Z                 >>>     assert weight.shape[0] == bias.shape[0]
2025-08-26T19:47:10.0165150Z                 >>>     assert x.device == weight.device
2025-08-26T19:47:10.0165240Z                 >>>     return x.new_empty(x.size(0), weight.size(0))
2025-08-26T19:47:10.0165290Z                 >>>
2025-08-26T19:47:10.0165350Z                 >>> x = torch.randn(2, 2)
2025-08-26T19:47:10.0165420Z                 >>> weight = torch.randn(2, 2)
2025-08-26T19:47:10.0165470Z                 >>> bias = torch.randn(2)
2025-08-26T19:47:10.0165560Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T19:47:10.0165680Z                 >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-08-26T19:47:10.0165780Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T19:47:10.0165940Z                 >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-08-26T19:47:10.0165980Z                 >>>
2025-08-26T19:47:10.0166090Z                 >>> # Example 2: an operator with data-dependent output shape
2025-08-26T19:47:10.0166210Z                 >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-08-26T19:47:10.0166290Z                 >>> def nonzero(x: Tensor) -> Tensor:
2025-08-26T19:47:10.0166360Z                 >>>     x_np = x.cpu().numpy()
2025-08-26T19:47:10.0166440Z                 >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-26T19:47:10.0166530Z                 >>>     return torch.tensor(res, device=x.device)
2025-08-26T19:47:10.0166580Z                 >>>
2025-08-26T19:47:10.0166640Z                 >>> @nonzero.register_fake
2025-08-26T19:47:10.0166690Z                 >>> def _(x):
2025-08-26T19:47:10.0166780Z                 >>> # Number of nonzero-elements is data-dependent.
2025-08-26T19:47:10.0166890Z                 >>> # Since we cannot peek at the data in an abstract impl,
2025-08-26T19:47:10.0166990Z                 >>> # we use the ctx object to construct a new symint that
2025-08-26T19:47:10.0167070Z                 >>> # represents the data-dependent size.
2025-08-26T19:47:10.0167140Z                 >>>     ctx = torch.library.get_ctx()
2025-08-26T19:47:10.0167210Z                 >>>     nnz = ctx.new_dynamic_size()
2025-08-26T19:47:10.0167280Z                 >>>     shape = [nnz, x.dim()]
2025-08-26T19:47:10.0167370Z                 >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-26T19:47:10.0167430Z                 >>>     return result
2025-08-26T19:47:10.0167470Z                 >>>
2025-08-26T19:47:10.0167550Z                 >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-08-26T19:47:10.0167630Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T19:47:10.0167730Z                 >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-08-26T19:47:10.0167810Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-26T19:47:10.0167890Z                 >>> assert torch.allclose(out, x.nonzero())
2025-08-26T19:47:10.0167930Z     
2025-08-26T19:47:10.0167970Z             
2025-08-26T19:47:10.0168280Z     Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-08-26T19:47:10.0168320Z     
2025-08-26T19:47:10.0168360Z     _._ = None
2025-08-26T19:47:10.0168400Z     ^
2025-08-26T19:47:10.0168520Z       warnings.warn(msg)
2025-08-26T19:47:10.0168560Z     
2025-08-26T19:47:10.0168670Z --- Parse Warning: 132 / 146 ---
2025-08-26T19:47:10.0169340Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Conv1d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py line=354.
2025-08-26T19:47:10.0169550Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0169680Z     Applies a 1D convolution over a quantized input signal composed of
2025-08-26T19:47:10.0169740Z         several quantized input planes.
2025-08-26T19:47:10.0169780Z     
2025-08-26T19:47:10.0169910Z         For details on input arguments, parameters, and implementation see
2025-08-26T19:47:10.0169970Z         :class:`~torch.nn.Conv1d`.
2025-08-26T19:47:10.0170010Z     
2025-08-26T19:47:10.0170060Z         .. note::
2025-08-26T19:47:10.0170180Z             Only `zeros` is supported for the :attr:`padding_mode` argument.
2025-08-26T19:47:10.0170220Z     
2025-08-26T19:47:10.0170260Z         .. note::
2025-08-26T19:47:10.0170370Z             Only `torch.quint8` is supported for the input data type.
2025-08-26T19:47:10.0170440Z     
2025-08-26T19:47:10.0170490Z     
2025-08-26T19:47:10.0170530Z         Attributes:
2025-08-26T19:47:10.0170670Z             weight (Tensor):     packed tensor derived from the learnable weight
2025-08-26T19:47:10.0170730Z                                  parameter.
2025-08-26T19:47:10.0170820Z             scale (Tensor):      scalar for the output scale
2025-08-26T19:47:10.0170920Z             zero_point (Tensor): scalar for the output zero point
2025-08-26T19:47:10.0170970Z     
2025-08-26T19:47:10.0171060Z         See :class:`~torch.nn.Conv1d` for other attributes.
2025-08-26T19:47:10.0171100Z     
2025-08-26T19:47:10.0171140Z         Examples::
2025-08-26T19:47:10.0171180Z     
2025-08-26T19:47:10.0171270Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE)
2025-08-26T19:47:10.0171350Z             >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2)
2025-08-26T19:47:10.0171430Z             >>> input = torch.randn(20, 16, 100)
2025-08-26T19:47:10.0171490Z             >>> # quantize input to quint8
2025-08-26T19:47:10.0171550Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0171680Z             >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0,
2025-08-26T19:47:10.0171770Z             ...                                     dtype=torch.quint8)
2025-08-26T19:47:10.0171820Z             >>> output = m(q_input)
2025-08-26T19:47:10.0171860Z     
2025-08-26T19:47:10.0171900Z         
2025-08-26T19:47:10.0172060Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0172100Z     
2025-08-26T19:47:10.0172150Z       warnings.warn(msg)
2025-08-26T19:47:10.0172190Z     
2025-08-26T19:47:10.0172290Z --- Parse Warning: 133 / 146 ---
2025-08-26T19:47:10.0172950Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LSTM in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/rnn.py line=12.
2025-08-26T19:47:10.0173110Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0173180Z     A quantized long short-term memory (LSTM).
2025-08-26T19:47:10.0173220Z     
2025-08-26T19:47:10.0173390Z         For the description and the argument types, please, refer to :class:`~torch.nn.LSTM`
2025-08-26T19:47:10.0173430Z     
2025-08-26T19:47:10.0173480Z         Attributes:
2025-08-26T19:47:10.0173550Z             layers : instances of the `_LSTMLayer`
2025-08-26T19:47:10.0173590Z     
2025-08-26T19:47:10.0173630Z         .. note::
2025-08-26T19:47:10.0173800Z             To access the weights and biases, you need to access them per layer.
2025-08-26T19:47:10.0173920Z             See examples in :class:`~torch.ao.nn.quantizable.LSTM`
2025-08-26T19:47:10.0173960Z     
2025-08-26T19:47:10.0174020Z         Examples::
2025-08-26T19:47:10.0174080Z             >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0174140Z             >>> custom_module_config = {
2025-08-26T19:47:10.0174230Z             ...     'float_to_observed_custom_module_class': {
2025-08-26T19:47:10.0174310Z             ...         nn.LSTM: nn.quantizable.LSTM,
2025-08-26T19:47:10.0174350Z             ...     },
2025-08-26T19:47:10.0174450Z             ...     'observed_to_quantized_custom_module_class': {
2025-08-26T19:47:10.0174540Z             ...         nn.quantizable.LSTM: nn.quantized.LSTM,
2025-08-26T19:47:10.0174580Z             ...     }
2025-08-26T19:47:10.0174620Z             ... }
2025-08-26T19:47:10.0174760Z             >>> tq.prepare(model, prepare_custom_module_class=custom_module_config)
2025-08-26T19:47:10.0174890Z             >>> tq.convert(model, convert_custom_module_class=custom_module_config)
2025-08-26T19:47:10.0174940Z         
2025-08-26T19:47:10.0175090Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0175130Z     
2025-08-26T19:47:10.0175180Z       warnings.warn(msg)
2025-08-26T19:47:10.0175240Z     
2025-08-26T19:47:10.0175350Z --- Parse Warning: 134 / 146 ---
2025-08-26T19:47:10.0176080Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DTypeConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181.
2025-08-26T19:47:10.0176230Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0176280Z     
2025-08-26T19:47:10.0176430Z     Config object that specifies the supported data types passed as arguments to
2025-08-26T19:47:10.0176570Z     quantize ops in the reference model spec, for input and output activations,
2025-08-26T19:47:10.0176630Z     weights, and biases.
2025-08-26T19:47:10.0176660Z     
2025-08-26T19:47:10.0176770Z     For example, consider the following reference model:
2025-08-26T19:47:10.0176810Z     
2025-08-26T19:47:10.0176910Z       quant1 - [dequant1 - fp32_linear - quant2] - dequant2
2025-08-26T19:47:10.0176950Z     
2025-08-26T19:47:10.0177080Z     The pattern in the square brackets refers to the reference pattern of
2025-08-26T19:47:10.0177220Z     statically quantized linear. Setting the input dtype as `torch.quint8`
2025-08-26T19:47:10.0177360Z     in the DTypeConfig means we pass in `torch.quint8` as the dtype argument
2025-08-26T19:47:10.0177490Z     to the first quantize op (quant1). Similarly, setting the output dtype as
2025-08-26T19:47:10.0177620Z     `torch.quint8` means we pass in `torch.quint8` as the dtype argument to
2025-08-26T19:47:10.0177680Z     the second quantize op (quant2).
2025-08-26T19:47:10.0177730Z     
2025-08-26T19:47:10.0177860Z     Note that the dtype here does not refer to the interface dtypes of the
2025-08-26T19:47:10.0177980Z     op. For example, the "input dtype" here is not the dtype of the input
2025-08-26T19:47:10.0178120Z     tensor passed to the quantized linear op. Though it can still be the
2025-08-26T19:47:10.0178240Z     same as the interface dtype, this is not always the case, e.g. the
2025-08-26T19:47:10.0178370Z     interface dtype is fp32 in dynamic quantization but the "input dtype"
2025-08-26T19:47:10.0178500Z     specified in the DTypeConfig would still be quint8. The semantics of
2025-08-26T19:47:10.0178630Z     dtypes here are the same as the semantics of the dtypes specified in
2025-08-26T19:47:10.0178670Z     the observers.
2025-08-26T19:47:10.0178710Z     
2025-08-26T19:47:10.0178840Z     These dtypes are matched against the ones specified in the user's
2025-08-26T19:47:10.0178970Z     QConfig. If there is a match, and the QConfig satisfies the constraints
2025-08-26T19:47:10.0179140Z     specified in the DTypeConfig (if any), then we will quantize the given
2025-08-26T19:47:10.0179280Z     pattern using this DTypeConfig. Otherwise, the QConfig is ignored and
2025-08-26T19:47:10.0179370Z     the pattern will not be quantized.
2025-08-26T19:47:10.0179410Z     
2025-08-26T19:47:10.0179460Z     Example usage::
2025-08-26T19:47:10.0179500Z     
2025-08-26T19:47:10.0179560Z         >>> # xdoctest: +SKIP(failing)
2025-08-26T19:47:10.0179620Z         >>> dtype_config1 = DTypeConfig(
2025-08-26T19:47:10.0179680Z         ...     input_dtype=torch.quint8,
2025-08-26T19:47:10.0179750Z         ...     output_dtype=torch.quint8,
2025-08-26T19:47:10.0179810Z         ...     weight_dtype=torch.qint8,
2025-08-26T19:47:10.0179860Z         ...     bias_dtype=torch.float)
2025-08-26T19:47:10.0179900Z     
2025-08-26T19:47:10.0179960Z         >>> dtype_config2 = DTypeConfig(
2025-08-26T19:47:10.0180040Z         ...     input_dtype=DTypeWithConstraints(
2025-08-26T19:47:10.0180100Z         ...         dtype=torch.quint8,
2025-08-26T19:47:10.0180160Z         ...         quant_min_lower_bound=0,
2025-08-26T19:47:10.0180230Z         ...         quant_max_upper_bound=255,
2025-08-26T19:47:10.0180270Z         ...     ),
2025-08-26T19:47:10.0180350Z         ...     output_dtype=DTypeWithConstraints(
2025-08-26T19:47:10.0180430Z         ...         dtype=torch.quint8,
2025-08-26T19:47:10.0180490Z         ...         quant_min_lower_bound=0,
2025-08-26T19:47:10.0180560Z         ...         quant_max_upper_bound=255,
2025-08-26T19:47:10.0180600Z         ...     ),
2025-08-26T19:47:10.0180670Z         ...     weight_dtype=DTypeWithConstraints(
2025-08-26T19:47:10.0180730Z         ...         dtype=torch.qint8,
2025-08-26T19:47:10.0180800Z         ...         quant_min_lower_bound=-128,
2025-08-26T19:47:10.0180860Z         ...         quant_max_upper_bound=127,
2025-08-26T19:47:10.0180900Z         ...     ),
2025-08-26T19:47:10.0180960Z         ...     bias_dtype=torch.float)
2025-08-26T19:47:10.0181000Z     
2025-08-26T19:47:10.0181060Z         >>> dtype_config1.input_dtype
2025-08-26T19:47:10.0181110Z         torch.quint8
2025-08-26T19:47:10.0181160Z     
2025-08-26T19:47:10.0181220Z         >>> dtype_config2.input_dtype
2025-08-26T19:47:10.0181260Z         torch.quint8
2025-08-26T19:47:10.0181300Z     
2025-08-26T19:47:10.0181390Z         >>> dtype_config2.input_dtype_with_constraints
2025-08-26T19:47:10.0181710Z         DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None)
2025-08-26T19:47:10.0181750Z     
2025-08-26T19:47:10.0181900Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0181940Z     
2025-08-26T19:47:10.0181990Z       warnings.warn(msg)
2025-08-26T19:47:10.0182030Z     
2025-08-26T19:47:10.0182140Z --- Parse Warning: 135 / 146 ---
2025-08-26T19:47:10.0183010Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301.
2025-08-26T19:47:10.0183170Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0183220Z     
2025-08-26T19:47:10.0183380Z     Takes in optional filter values and generates two tables with desired information.
2025-08-26T19:47:10.0183420Z     
2025-08-26T19:47:10.0183550Z     The generated tables are presented in both a list-of-lists format
2025-08-26T19:47:10.0183590Z     
2025-08-26T19:47:10.0183710Z     The reason for the two tables are that they handle different things:
2025-08-26T19:47:10.0183810Z     1.) the first table handles all tensor level information
2025-08-26T19:47:10.0183940Z     2.) the second table handles and displays all channel based information
2025-08-26T19:47:10.0184020Z     
2025-08-26T19:47:10.0184220Z     The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-08-26T19:47:10.0184450Z         statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-08-26T19:47:10.0184670Z         tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-08-26T19:47:10.0184710Z     
2025-08-26T19:47:10.0184760Z     Tensor table columns:
2025-08-26T19:47:10.0184880Z         idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-08-26T19:47:10.0184980Z         ----  ---------  ---------   ---------   ---------        ---------
2025-08-26T19:47:10.0185030Z     
2025-08-26T19:47:10.0188520Z     Per-Channel table columns:
2025-08-26T19:47:10.0188670Z         idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-08-26T19:47:10.0188790Z         ----  ---------  -------  ---------   ---------   ---------        ---------
2025-08-26T19:47:10.0188820Z     
2025-08-26T19:47:10.0188870Z     Args:
2025-08-26T19:47:10.0189030Z         feature_filter (str, optional): Filters the features presented to only those that
2025-08-26T19:47:10.0189100Z             contain this filter substring
2025-08-26T19:47:10.0189270Z             Default = "", results in all the features being printed
2025-08-26T19:47:10.0189430Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-26T19:47:10.0189590Z             Default = "", results in all the modules in the reports to be visible in the table
2025-08-26T19:47:10.0189630Z     
2025-08-26T19:47:10.0189690Z     Returns a dictionary with two keys:
2025-08-26T19:47:10.0189810Z         (Dict[str, Tuple[List, List]]) A dict containing two keys:
2025-08-26T19:47:10.0189880Z         "tensor_level_info", "channel_level_info"
2025-08-26T19:47:10.0189950Z             Each key maps to a tuple with:
2025-08-26T19:47:10.0190020Z                 A list of the headers of each table
2025-08-26T19:47:10.0190130Z                 A list of lists containing the table information row by row
2025-08-26T19:47:10.0190250Z                 The 0th index row will contain the headers of the columns
2025-08-26T19:47:10.0190320Z                 The rest of the rows will contain data
2025-08-26T19:47:10.0190370Z     
2025-08-26T19:47:10.0190410Z     Example Use:
2025-08-26T19:47:10.0190490Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:10.0190580Z         >>> mod_report_visualizer.generate_filtered_tables(
2025-08-26T19:47:10.0190710Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-26T19:47:10.0190880Z         ... )  # generates table with per_channel_min info for all modules in block 1 of the model
2025-08-26T19:47:10.0190920Z     
2025-08-26T19:47:10.0191080Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0191120Z     
2025-08-26T19:47:10.0191170Z       warnings.warn(msg)
2025-08-26T19:47:10.0191210Z     
2025-08-26T19:47:10.0191350Z --- Parse Warning: 136 / 146 ---
2025-08-26T19:47:10.0192220Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=399.
2025-08-26T19:47:10.0192390Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0192430Z     
2025-08-26T19:47:10.0192590Z     Takes in optional filter values and prints out formatted tables of the information.
2025-08-26T19:47:10.0192630Z     
2025-08-26T19:47:10.0192830Z     The reason for the two tables printed out instead of one large one are that they handle different things:
2025-08-26T19:47:10.0193010Z     1.) the first table handles all tensor level information
2025-08-26T19:47:10.0193150Z     2.) the second table handles and displays all channel based information
2025-08-26T19:47:10.0193220Z     
2025-08-26T19:47:10.0193420Z     The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-08-26T19:47:10.0193620Z         statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-08-26T19:47:10.0193830Z         tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-08-26T19:47:10.0193870Z     
2025-08-26T19:47:10.0193930Z     Tensor table columns:
2025-08-26T19:47:10.0194050Z      idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-08-26T19:47:10.0194150Z     ----  ---------  ---------   ---------   ---------        ---------
2025-08-26T19:47:10.0194190Z     
2025-08-26T19:47:10.0194240Z     Per-Channel table columns:
2025-08-26T19:47:10.0194280Z     
2025-08-26T19:47:10.0194420Z      idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-08-26T19:47:10.0194530Z     ----  ---------  -------  ---------   ---------   ---------        ---------
2025-08-26T19:47:10.0194570Z     
2025-08-26T19:47:10.0194610Z     Args:
2025-08-26T19:47:10.0194800Z         feature_filter (str, optional): Filters the features presented to only those that
2025-08-26T19:47:10.0194870Z             contain this filter substring
2025-08-26T19:47:10.0194960Z             Default = "", results in all the features being printed
2025-08-26T19:47:10.0195130Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-26T19:47:10.0195280Z             Default = "", results in all the modules in the reports to be visible in the table
2025-08-26T19:47:10.0195320Z     
2025-08-26T19:47:10.0195360Z     Example Use:
2025-08-26T19:47:10.0195440Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:10.0195540Z         >>> mod_report_visualizer.generate_table_visualization(
2025-08-26T19:47:10.0195670Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-26T19:47:10.0195710Z         ... )
2025-08-26T19:47:10.0195830Z         >>> # prints out neatly formatted table with per_channel_min info
2025-08-26T19:47:10.0195910Z         >>> # for all modules in block 1 of the model
2025-08-26T19:47:10.0195950Z     
2025-08-26T19:47:10.0196100Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0196140Z     
2025-08-26T19:47:10.0196200Z       warnings.warn(msg)
2025-08-26T19:47:10.0196240Z     
2025-08-26T19:47:10.0196340Z --- Parse Warning: 137 / 146 ---
2025-08-26T19:47:10.0197210Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=564.
2025-08-26T19:47:10.0197370Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0197410Z     
2025-08-26T19:47:10.0197570Z     Takes in a feature and optional module_filter and plots of the desired data.
2025-08-26T19:47:10.0197610Z     
2025-08-26T19:47:10.0197780Z     For per channel features, it averages the value across the channels and plots a point
2025-08-26T19:47:10.0197930Z     per module. The reason for this is that for models with hundreds of channels, it can
2025-08-26T19:47:10.0198110Z     be hard to differentiate one channel line from another, and so the point of generating
2025-08-26T19:47:10.0198270Z     a single average point per module is to give a sense of general trends that encourage
2025-08-26T19:47:10.0198320Z     further deep dives.
2025-08-26T19:47:10.0198360Z     
2025-08-26T19:47:10.0198400Z     Note:
2025-08-26T19:47:10.0198620Z         Only features in the report that have tensor value data are plottable by this class
2025-08-26T19:47:10.0198720Z         When the tensor information is plotted, it will plot:
2025-08-26T19:47:10.0198840Z             idx as the x val, feature value as the y_val
2025-08-26T19:47:10.0198950Z         When the channel information is plotted, it will plot:
2025-08-26T19:47:10.0199120Z             the first idx of each module as the x val, feature value as the y_val [for each channel]
2025-08-26T19:47:10.0199260Z             The reason for this is that we want to be able to compare values across the
2025-08-26T19:47:10.0199410Z             channels for same layer, and it will be hard if values are staggered by idx
2025-08-26T19:47:10.0199520Z             This means each module is represented by only 1 x value
2025-08-26T19:47:10.0199560Z     Args:
2025-08-26T19:47:10.0199700Z         feature_filter (str): Filters the features presented to only those that
2025-08-26T19:47:10.0199770Z             contain this filter substring
2025-08-26T19:47:10.0199930Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-26T19:47:10.0200090Z             Default = "", results in all the modules in the reports to be visible in the table
2025-08-26T19:47:10.0200130Z     
2025-08-26T19:47:10.0200210Z     Example Use:
2025-08-26T19:47:10.0200290Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-26T19:47:10.0200390Z         >>> mod_report_visualizer.generate_plot_visualization(
2025-08-26T19:47:10.0200510Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-26T19:47:10.0200550Z         ... )
2025-08-26T19:47:10.0200660Z         >>> # outputs line plot of per_channel_min information for all
2025-08-26T19:47:10.0200780Z         >>> # modules in block1 of model each channel gets it's own line,
2025-08-26T19:47:10.0200890Z         >>> # and it's plotted across the in-order modules on the x-axis
2025-08-26T19:47:10.0200930Z     
2025-08-26T19:47:10.0201090Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0201130Z     
2025-08-26T19:47:10.0201180Z       warnings.warn(msg)
2025-08-26T19:47:10.0201220Z     
2025-08-26T19:47:10.0201330Z --- Parse Warning: 138 / 146 ---
2025-08-26T19:47:10.0202220Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=643.
2025-08-26T19:47:10.0202380Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0202420Z     
2025-08-26T19:47:10.0202600Z     Takes in a feature and optional module_filter and plots the histogram of desired data.
2025-08-26T19:47:10.0202640Z     
2025-08-26T19:47:10.0202690Z     Note:
2025-08-26T19:47:10.0202850Z         Only features in the report that have tensor value data can be viewed as a histogram
2025-08-26T19:47:10.0203020Z         If you want to plot a histogram from all the channel values of a specific feature for
2025-08-26T19:47:10.0203170Z             a specific model, make sure to specify both the model and the feature properly
2025-08-26T19:47:10.0203330Z             in the filters and you should be able to see a distribution of the channel data
2025-08-26T19:47:10.0203370Z     
2025-08-26T19:47:10.0203410Z     Args:
2025-08-26T19:47:10.0203560Z         feature_filter (str, optional): Filters the features presented to only those that
2025-08-26T19:47:10.0203630Z             contain this filter substring
2025-08-26T19:47:10.0203730Z             Default = "", results in all the features being printed
2025-08-26T19:47:10.0203880Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-26T19:47:10.0204090Z             Default = "", results in all the modules in the reports to be visible in the table
2025-08-26T19:47:10.0204230Z         num_bins (int, optional): The number of bins to create the histogram with
2025-08-26T19:47:10.0204380Z             Default = 10, the values will be split into 10 equal sized bins
2025-08-26T19:47:10.0204430Z     
2025-08-26T19:47:10.0204470Z     Example Use:
2025-08-26T19:47:10.0204530Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0204710Z         >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization(
2025-08-26T19:47:10.0204830Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-26T19:47:10.0204880Z         ... )
2025-08-26T19:47:10.0205040Z         # outputs histogram of per_channel_min information for all modules in block1 of model
2025-08-26T19:47:10.0205200Z             information is gathered across all channels for all modules in block 1 for the
2025-08-26T19:47:10.0205330Z             per_channel_min and is displayed in a histogram of equally sized bins
2025-08-26T19:47:10.0205380Z     
2025-08-26T19:47:10.0205520Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0205570Z     
2025-08-26T19:47:10.0205620Z       warnings.warn(msg)
2025-08-26T19:47:10.0205660Z     
2025-08-26T19:47:10.0205800Z --- Parse Warning: 139 / 146 ---
2025-08-26T19:47:10.0206530Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReport in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py line=24.
2025-08-26T19:47:10.0206690Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0206730Z     
2025-08-26T19:47:10.0206920Z     The ModelReport class aims to provide users an easy way to diagnose issues that they run into
2025-08-26T19:47:10.0207100Z     with their models. The class works with all traceable GraphModules to help diagnose issues,
2025-08-26T19:47:10.0207280Z     though the requirements on the type of model more-so depends on the specific report the user
2025-08-26T19:47:10.0207470Z     is trying to generate. With respect to the reports, the ModelReport class is initialized with
2025-08-26T19:47:10.0207640Z     a set of Detector classes, each of which generate reports on quantization configuration
2025-08-26T19:47:10.0207690Z     issues a use might have.
2025-08-26T19:47:10.0207740Z     
2025-08-26T19:47:10.0207810Z     Currently supports generating reports on:
2025-08-26T19:47:10.0207950Z     - Suggestions for per-channel vs. per-tensor quantization (nn.Module)
2025-08-26T19:47:10.0208110Z     - Suggestions for dynamic vs static quantization for linear layers (Graph Modules)
2025-08-26T19:47:10.0208290Z     - Suggestions for input-weight equalization for linear and conv layers (Graph Modules)
2025-08-26T19:47:10.0208420Z     - Suggestions for outlier detection for all layers (Graph Modules)
2025-08-26T19:47:10.0208460Z     
2025-08-26T19:47:10.0208700Z     The ModelReport class has the primary functionality of inserting observers (primarily the ModelReportObserver)
2025-08-26T19:47:10.0208920Z     where needed for each detector to gather the information it needs, and then after calibration, the ModelReport
2025-08-26T19:47:10.0209140Z     class compiles the report generated by each Detector class into a single report to return to the user. It also
2025-08-26T19:47:10.0209280Z     has the capability to remove all the observers it inserted as well.
2025-08-26T19:47:10.0209310Z     
2025-08-26T19:47:10.0209490Z     * :attr:`_model` The model we wish to generate the report for. Must be a traceable GraphModule
2025-08-26T19:47:10.0209530Z     
2025-08-26T19:47:10.0209750Z     * :attr:`_desired_report_detectors` The set of Detectors representing desired reports from the ModelReport class
2025-08-26T19:47:10.0209990Z         Make sure that these are all unique types of detectors [do not have more than 1 of the same class]
2025-08-26T19:47:10.0210030Z     
2025-08-26T19:47:10.0210200Z     * :attr:`_desired_detector_names` The set of detector names of the _desired_report_detectors.
2025-08-26T19:47:10.0210370Z         This set is generated by calling the get_detector_name() of each detector
2025-08-26T19:47:10.0210410Z     
2025-08-26T19:47:10.0210610Z     * :attr:`_detector_name_to_observer_fqns` The mapping from each detector to fqns of observers of interest
2025-08-26T19:47:10.0210810Z         The purpose of this is to keep track of what observers were inserted for each detector, so that they
2025-08-26T19:47:10.0210880Z         can be removed at the end if desired
2025-08-26T19:47:10.0210920Z     
2025-08-26T19:47:10.0211110Z     * :attr:`_prepared_flag` A boolean flag that keeps track of whether we have prepared the model or not
2025-08-26T19:47:10.0211260Z         This is to ensure we only insert observers once with the ModelReport instance
2025-08-26T19:47:10.0211300Z     
2025-08-26T19:47:10.0211450Z     * :attr:`_removed_observers` A boolean to track if we have removed observers already
2025-08-26T19:47:10.0211620Z         The purpose is to ensure we don't attempt to remove observers twice with the same ModelReport
2025-08-26T19:47:10.0211840Z         instance. This also allows the functionality where we can generate the report multiple times
2025-08-26T19:47:10.0211930Z         as long as we haven't removed the observers yet.
2025-08-26T19:47:10.0211970Z     
2025-08-26T19:47:10.0212010Z     Note:
2025-08-26T19:47:10.0212180Z         This class was initially designed to work with the Fx Graph Mode workflow in mind. However,
2025-08-26T19:47:10.0212370Z         full functionality is available as long as there is a traceable GraphModule that is being used.
2025-08-26T19:47:10.0212540Z         One method to get a traceable GraphModule without going through the Fx workflow is to use
2025-08-26T19:47:10.0212610Z         the QuantizationTracer class.
2025-08-26T19:47:10.0212650Z     
2025-08-26T19:47:10.0212710Z     General Flow for Fx workflow:
2025-08-26T19:47:10.0212940Z     1.) Initialize ModelReport object with reports of interest by passing in initialized detector objects and model
2025-08-26T19:47:10.0213020Z     2.) Prepare your model with prepare_fx
2025-08-26T19:47:10.0213170Z     3.) Call model_report.prepare_detailed_calibration to add relevant observers
2025-08-26T19:47:10.0213240Z     4.) Calibrate your model with data
2025-08-26T19:47:10.0213450Z     5.) Call model_report.generate_report on your model to generate report and optionally remove added observers
2025-08-26T19:47:10.0213490Z     Optional
2025-08-26T19:47:10.0213650Z         6.) Call model_report.generate_visualizer to get a ModelReportVisualizer instance
2025-08-26T19:47:10.0213800Z         7.) To help in parsing report information and debugging, view report info as a:
2025-08-26T19:47:10.0213840Z             - Table
2025-08-26T19:47:10.0213890Z             - Histogram
2025-08-26T19:47:10.0213940Z             - Line plot
2025-08-26T19:47:10.0214130Z     8.) Call model_report.generate_qconfigs to generate the qconfigs based on the report suggestions
2025-08-26T19:47:10.0214180Z     
2025-08-26T19:47:10.0214240Z     Example (with QuantizationTracer):
2025-08-26T19:47:10.0214300Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0214360Z         >>> # get the necessary qconfig
2025-08-26T19:47:10.0214420Z         >>> config = PrepareCustomConfig()
2025-08-26T19:47:10.0214520Z         >>> skipped_module_names, skipped_module_classes = (
2025-08-26T19:47:10.0214620Z         ...     get_skipped_module_name_and_classes(config, False)
2025-08-26T19:47:10.0214660Z         ... )
2025-08-26T19:47:10.0214700Z     
2025-08-26T19:47:10.0214780Z         >>> # initialize our model and get GraphModule
2025-08-26T19:47:10.0214830Z         >>> model = SomeModel()
2025-08-26T19:47:10.0214980Z         >>> tracer = QuantizationTracer(skipped_module_names, skipped_module_classes)
2025-08-26T19:47:10.0215150Z         >>> graph_module = GraphModule(model, tracer.trace(model))
2025-08-26T19:47:10.0215190Z     
2025-08-26T19:47:10.0215290Z         >>> # get our set of detectors and ModelReport instance
2025-08-26T19:47:10.0215370Z         >>> detector_set = set(
2025-08-26T19:47:10.0215420Z         ...     [
2025-08-26T19:47:10.0215510Z         ...         DynamicStaticDetector(tolerance=0.5),
2025-08-26T19:47:10.0215630Z         ...         InputWeightEqualizationDetector(ratio_threshold=0.7),
2025-08-26T19:47:10.0215670Z         ...     ]
2025-08-26T19:47:10.0215710Z         ... )
2025-08-26T19:47:10.0215840Z         >>> tracer_reporter = ModelReport(graph_module, tracer_detector_set)
2025-08-26T19:47:10.0215880Z     
2025-08-26T19:47:10.0215970Z         >>> # now we insert the observers and calibrate the model
2025-08-26T19:47:10.0216130Z         >>> tracer_model_with_observers = tracer_reporter.prepare_detailed_calibration()
2025-08-26T19:47:10.0216210Z         >>> for i in range(num_callibration_batches):
2025-08-26T19:47:10.0216300Z         >>>     example_input = get_callibration_input()
2025-08-26T19:47:10.0216380Z         >>>     tracer_model_with_observers(example_input)
2025-08-26T19:47:10.0216430Z     
2025-08-26T19:47:10.0216590Z         >>> # finally we generate the reports and optionally remove the observers we inserted
2025-08-26T19:47:10.0216730Z         >>> reports = tracer_reporter.generate_model_report(
2025-08-26T19:47:10.0216810Z         ...     remove_inserted_observers=True
2025-08-26T19:47:10.0216850Z         ... )
2025-08-26T19:47:10.0216890Z     
2025-08-26T19:47:10.0217030Z         >>> # Optional: we can generate the qconfig mapping based on the suggestions
2025-08-26T19:47:10.0217130Z         >>> qconfigs = model_report.generate_qconfig_mapping()
2025-08-26T19:47:10.0217170Z     
2025-08-26T19:47:10.0217320Z         >>> # Optional: we can generate the equalization mapping based on the suggestions
2025-08-26T19:47:10.0217430Z         >>> qconfigs = model_report.generate_equalization_mapping()
2025-08-26T19:47:10.0217470Z     
2025-08-26T19:47:10.0217640Z         >>> # Optional: we get a ModelReportVisualizer instance to do any visualizations desired
2025-08-26T19:47:10.0217770Z         >>> model_report_visualizer = tracer_reporter.generate_visualizer()
2025-08-26T19:47:10.0217810Z     
2025-08-26T19:47:10.0217850Z     
2025-08-26T19:47:10.0218000Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0218040Z     
2025-08-26T19:47:10.0218090Z       warnings.warn(msg)
2025-08-26T19:47:10.0218130Z     
2025-08-26T19:47:10.0218240Z --- Parse Warning: 140 / 146 ---
2025-08-26T19:47:10.0218990Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229.
2025-08-26T19:47:10.0219150Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0219250Z     Squashes the sparse masks into the appropriate tensors.
2025-08-26T19:47:10.0219290Z     
2025-08-26T19:47:10.0219420Z             If either the `params_to_keep` or `params_to_keep_per_layer` is set,
2025-08-26T19:47:10.0219540Z             the module will have a `sparse_params` dict attached to it.
2025-08-26T19:47:10.0219580Z     
2025-08-26T19:47:10.0219620Z             Args:
2025-08-26T19:47:10.0219740Z                 params_to_keep: List of keys to save in the module or a dict
2025-08-26T19:47:10.0219840Z                                 representing the modules and keys that will have
2025-08-26T19:47:10.0219910Z                                 sparsity parameters saved
2025-08-26T19:47:10.0220040Z                 params_to_keep_per_layer: Dict to specify the params that should be
2025-08-26T19:47:10.0220190Z                                 saved for specific layers. The keys in the dict
2025-08-26T19:47:10.0220300Z                                 should be the module fqn, while the values should
2025-08-26T19:47:10.0220400Z                                 be a list of strings with the names of the variables
2025-08-26T19:47:10.0220510Z                                 to save in the `sparse_params`
2025-08-26T19:47:10.0220550Z     
2025-08-26T19:47:10.0220600Z             Examples:
2025-08-26T19:47:10.0220680Z                 >>> # xdoctest: +SKIP("locals are undefined")
2025-08-26T19:47:10.0220750Z                 >>> # Don't save any sparse params
2025-08-26T19:47:10.0220820Z                 >>> sparsifier.squash_mask()
2025-08-26T19:47:10.0220900Z                 >>> hasattr(model.submodule1, "sparse_params")
2025-08-26T19:47:10.0220940Z                 False
2025-08-26T19:47:10.0220990Z     
2025-08-26T19:47:10.0221060Z                 >>> # Keep sparse params per layer
2025-08-26T19:47:10.0221120Z                 >>> sparsifier.squash_mask(
2025-08-26T19:47:10.0221190Z                 ...     params_to_keep_per_layer={
2025-08-26T19:47:10.0221280Z                 ...         "submodule1.linear1": ("foo", "bar"),
2025-08-26T19:47:10.0221360Z                 ...         "submodule2.linear42": ("baz",),
2025-08-26T19:47:10.0221410Z                 ...     }
2025-08-26T19:47:10.0221490Z                 ... )
2025-08-26T19:47:10.0221590Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-08-26T19:47:10.0221650Z                 {'foo': 42, 'bar': 24}
2025-08-26T19:47:10.0221740Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-08-26T19:47:10.0221790Z                 {'baz': 0.1}
2025-08-26T19:47:10.0221830Z     
2025-08-26T19:47:10.0221910Z                 >>> # Keep sparse params for all layers
2025-08-26T19:47:10.0222010Z                 >>> sparsifier.squash_mask(params_to_keep=("foo", "bar"))
2025-08-26T19:47:10.0222110Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-08-26T19:47:10.0222170Z                 {'foo': 42, 'bar': 24}
2025-08-26T19:47:10.0222270Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-08-26T19:47:10.0222320Z                 {'foo': 42, 'bar': 24}
2025-08-26T19:47:10.0222360Z     
2025-08-26T19:47:10.0222480Z                 >>> # Keep some sparse params for all layers, and specific ones for
2025-08-26T19:47:10.0222540Z                 >>> # some other layers
2025-08-26T19:47:10.0222610Z                 >>> sparsifier.squash_mask(
2025-08-26T19:47:10.0222680Z                 ...     params_to_keep=("foo", "bar"),
2025-08-26T19:47:10.0222800Z                 ...     params_to_keep_per_layer={"submodule2.linear42": ("baz",)},
2025-08-26T19:47:10.0222840Z                 ... )
2025-08-26T19:47:10.0222940Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-08-26T19:47:10.0222990Z                 {'foo': 42, 'bar': 24}
2025-08-26T19:47:10.0223090Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-08-26T19:47:10.0223160Z                 {'foo': 42, 'bar': 24, 'baz': 0.1}
2025-08-26T19:47:10.0223200Z             
2025-08-26T19:47:10.0223350Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0223390Z     
2025-08-26T19:47:10.0223440Z       warnings.warn(msg)
2025-08-26T19:47:10.0223490Z     
2025-08-26T19:47:10.0223590Z --- Parse Warning: 141 / 146 ---
2025-08-26T19:47:10.0224410Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16.
2025-08-26T19:47:10.0224570Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0224610Z     
2025-08-26T19:47:10.0224770Z     The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-08-26T19:47:10.0224960Z     network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-08-26T19:47:10.0225130Z     zeroes out the activations based on the mask_fn (or sparsification function)
2025-08-26T19:47:10.0225200Z     input by the user.
2025-08-26T19:47:10.0225340Z     The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-08-26T19:47:10.0225430Z     mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-08-26T19:47:10.0225480Z     
2025-08-26T19:47:10.0225530Z     Note::
2025-08-26T19:47:10.0225730Z         The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-08-26T19:47:10.0225770Z     
2025-08-26T19:47:10.0225810Z     Args:
2025-08-26T19:47:10.0225870Z         model (nn.Module):
2025-08-26T19:47:10.0226000Z             The model whose layers will be sparsified. The layers that needs to be
2025-08-26T19:47:10.0226150Z             sparsified should be added separately using the register_layer() function
2025-08-26T19:47:10.0226220Z         aggregate_fn (Optional, Callable):
2025-08-26T19:47:10.0226380Z             default aggregate_fn that is used if not specified while registering the layer.
2025-08-26T19:47:10.0226480Z             specifies how inputs should be aggregated over time.
2025-08-26T19:47:10.0226690Z             The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-08-26T19:47:10.0226740Z             Example
2025-08-26T19:47:10.0226860Z                 def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-08-26T19:47:10.0226930Z                 reduce_fn (Optional, Callable):
2025-08-26T19:47:10.0227070Z                     default reduce_fn that is used if not specified while registering the layer.
2025-08-26T19:47:10.0227240Z                     reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-08-26T19:47:10.0227310Z                     calling agg_fn() on all inputs.
2025-08-26T19:47:10.0227360Z                     Example
2025-08-26T19:47:10.0227490Z                 def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-08-26T19:47:10.0227560Z                 mask_fn (Optional, Callable):
2025-08-26T19:47:10.0227740Z                     default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-08-26T19:47:10.0227900Z                     calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-08-26T19:47:10.0227960Z                     register_layer().
2025-08-26T19:47:10.0228170Z                     Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-08-26T19:47:10.0228220Z                     arguments.
2025-08-26T19:47:10.0228280Z                 features (Optional, list):
2025-08-26T19:47:10.0228360Z                     default selected features to sparsify.
2025-08-26T19:47:10.0228520Z                     If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-08-26T19:47:10.0228580Z                     For example,
2025-08-26T19:47:10.0228730Z                 mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-08-26T19:47:10.0228800Z                 feature_dim (Optional, int):
2025-08-26T19:47:10.0228970Z                     default dimension of input features. Again, features along this dim will be chosen
2025-08-26T19:47:10.0229030Z                     for sparsification.
2025-08-26T19:47:10.0229090Z                 sparse_config (Dict):
2025-08-26T19:47:10.0229220Z                     Default configuration for the mask_fn. This config will be passed
2025-08-26T19:47:10.0229280Z                     with the mask_fn()
2025-08-26T19:47:10.0229320Z     
2025-08-26T19:47:10.0229360Z     Example:
2025-08-26T19:47:10.0229410Z         >>> # xdoctest: +SKIP
2025-08-26T19:47:10.0229460Z         >>> model = SomeModel()
2025-08-26T19:47:10.0229660Z         >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-08-26T19:47:10.0229720Z         >>> # Initialize aggregate_fn
2025-08-26T19:47:10.0229770Z         >>> def agg_fn(x, y):
2025-08-26T19:47:10.0229820Z         >>>     return x + y
2025-08-26T19:47:10.0229890Z         >>>
2025-08-26T19:47:10.0229940Z         >>> # Initialize reduce_fn
2025-08-26T19:47:10.0230000Z         >>> def reduce_fn(x):
2025-08-26T19:47:10.0230070Z         >>>     return torch.mean(x, dim=0)
2025-08-26T19:47:10.0230110Z         >>>
2025-08-26T19:47:10.0230170Z         >>> # Initialize mask_fn
2025-08-26T19:47:10.0230220Z         >>> def mask_fn(data):
2025-08-26T19:47:10.0230310Z         >>>     return torch.eye(data.shape).to(data.device)
2025-08-26T19:47:10.0230350Z         >>>
2025-08-26T19:47:10.0230390Z         >>>
2025-08-26T19:47:10.0230450Z         >>> act_sparsifier.register_layer(
2025-08-26T19:47:10.0230500Z         ...     model.some_layer,
2025-08-26T19:47:10.0230560Z         ...     aggregate_fn=agg_fn,
2025-08-26T19:47:10.0230620Z         ...     reduce_fn=reduce_fn,
2025-08-26T19:47:10.0230670Z         ...     mask_fn=mask_fn,
2025-08-26T19:47:10.0230710Z         ... )
2025-08-26T19:47:10.0230750Z         >>>
2025-08-26T19:47:10.0230810Z         >>> # start training process
2025-08-26T19:47:10.0230860Z         >>> for _ in [...]:
2025-08-26T19:47:10.0230940Z         >>> # epoch starts
2025-08-26T19:47:10.0231050Z         >>> # model.forward(), compute_loss() and model.backwards()
2025-08-26T19:47:10.0231100Z         >>> # epoch ends
2025-08-26T19:47:10.0231160Z         >>>     act_sparsifier.step()
2025-08-26T19:47:10.0231210Z         >>> # end training process
2025-08-26T19:47:10.0231270Z         >>> sparsifier.squash_mask()
2025-08-26T19:47:10.0231310Z     
2025-08-26T19:47:10.0231460Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0231500Z     
2025-08-26T19:47:10.0231560Z       warnings.warn(msg)
2025-08-26T19:47:10.0231590Z     
2025-08-26T19:47:10.0231700Z --- Parse Warning: 142 / 146 ---
2025-08-26T19:47:10.0232530Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseDataScheduler.get_schedule_param in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py line=91.
2025-08-26T19:47:10.0232690Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0232730Z     
2025-08-26T19:47:10.0232860Z     Abstract method that needs to be implemented by the child class.
2025-08-26T19:47:10.0233010Z     The expected return type should is a dictionary of name to schedule_param value
2025-08-26T19:47:10.0233170Z     The returned values will be updated in sparsifier when the scheduler step() function
2025-08-26T19:47:10.0233220Z     is called.
2025-08-26T19:47:10.0233260Z     
2025-08-26T19:47:10.0233300Z     Example:
2025-08-26T19:47:10.0233360Z         >>> def get_schedule_param(self):
2025-08-26T19:47:10.0233420Z         ...     new_param = {}
2025-08-26T19:47:10.0233510Z         ...     for name in self.sparsifier.data_groups.keys():
2025-08-26T19:47:10.0233580Z         ...         new_param[name] = (
2025-08-26T19:47:10.0233710Z         ...             self.sparsifier.data_groups[name][self.schedule_param] * 0.5
2025-08-26T19:47:10.0233750Z         ...         )
2025-08-26T19:47:10.0233810Z         ...     return new_param
2025-08-26T19:47:10.0233850Z     
2025-08-26T19:47:10.0234060Z     When the step() function is called, the value in self.sparsifier.data_groups[name][self.schedule_param]
2025-08-26T19:47:10.0234110Z     would be halved
2025-08-26T19:47:10.0234140Z     
2025-08-26T19:47:10.0234300Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0234340Z     
2025-08-26T19:47:10.0234390Z       warnings.warn(msg)
2025-08-26T19:47:10.0234430Z     
2025-08-26T19:47:10.0234600Z --- Parse Warning: 143 / 146 ---
2025-08-26T19:47:10.0235320Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedBernoulli in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/relaxed_bernoulli.py line=120.
2025-08-26T19:47:10.0235520Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0235560Z     
2025-08-26T19:47:10.0235670Z     Creates a RelaxedBernoulli distribution, parametrized by
2025-08-26T19:47:10.0235790Z     :attr:`temperature`, and either :attr:`probs` or :attr:`logits`
2025-08-26T19:47:10.0235920Z     (but not both). This is a relaxed version of the `Bernoulli` distribution,
2025-08-26T19:47:10.0236040Z     so the values are in (0, 1), and has reparametrizable samples.
2025-08-26T19:47:10.0236070Z     
2025-08-26T19:47:10.0236120Z     Example::
2025-08-26T19:47:10.0236160Z     
2025-08-26T19:47:10.0236250Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-26T19:47:10.0236330Z         >>> m = RelaxedBernoulli(torch.tensor([2.2]),
2025-08-26T19:47:10.0236420Z         ...                      torch.tensor([0.1, 0.2, 0.3, 0.99]))
2025-08-26T19:47:10.0236470Z         >>> m.sample()
2025-08-26T19:47:10.0236570Z         tensor([ 0.2951,  0.3442,  0.8918,  0.9021])
2025-08-26T19:47:10.0236620Z     
2025-08-26T19:47:10.0236660Z     Args:
2025-08-26T19:47:10.0236740Z         temperature (Tensor): relaxation temperature
2025-08-26T19:47:10.0236850Z         probs (Number, Tensor): the probability of sampling `1`
2025-08-26T19:47:10.0236950Z         logits (Number, Tensor): the log-odds of sampling `1`
2025-08-26T19:47:10.0236990Z     
2025-08-26T19:47:10.0237150Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0237190Z     
2025-08-26T19:47:10.0237240Z       warnings.warn(msg)
2025-08-26T19:47:10.0237280Z     
2025-08-26T19:47:10.0237390Z --- Parse Warning: 144 / 146 ---
2025-08-26T19:47:10.0238130Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedOneHotCategorical in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/relaxed_categorical.py line=109.
2025-08-26T19:47:10.0238300Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0238340Z     
2025-08-26T19:47:10.0238470Z     Creates a RelaxedOneHotCategorical distribution parametrized by
2025-08-26T19:47:10.0238590Z     :attr:`temperature`, and either :attr:`probs` or :attr:`logits`.
2025-08-26T19:47:10.0238730Z     This is a relaxed version of the :class:`OneHotCategorical` distribution, so
2025-08-26T19:47:10.0238830Z     its samples are on simplex, and are reparametrizable.
2025-08-26T19:47:10.0238870Z     
2025-08-26T19:47:10.0238910Z     Example::
2025-08-26T19:47:10.0238950Z     
2025-08-26T19:47:10.0239040Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-26T19:47:10.0239140Z         >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]),
2025-08-26T19:47:10.0239220Z         ...                              torch.tensor([0.1, 0.2, 0.3, 0.4]))
2025-08-26T19:47:10.0239270Z         >>> m.sample()
2025-08-26T19:47:10.0239350Z         tensor([ 0.1294,  0.2324,  0.3859,  0.2523])
2025-08-26T19:47:10.0239390Z     
2025-08-26T19:47:10.0239430Z     Args:
2025-08-26T19:47:10.0239520Z         temperature (Tensor): relaxation temperature
2025-08-26T19:47:10.0239580Z         probs (Tensor): event probabilities
2025-08-26T19:47:10.0239700Z         logits (Tensor): unnormalized log probability for each event
2025-08-26T19:47:10.0239740Z     
2025-08-26T19:47:10.0239890Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0239930Z     
2025-08-26T19:47:10.0239980Z       warnings.warn(msg)
2025-08-26T19:47:10.0240070Z     
2025-08-26T19:47:10.0240180Z --- Parse Warning: 145 / 146 ---
2025-08-26T19:47:10.0240950Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LowRankMultivariateNormal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56.
2025-08-26T19:47:10.0241140Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0241180Z     
2025-08-26T19:47:10.0241360Z     Creates a multivariate normal distribution with covariance matrix having a low-rank form
2025-08-26T19:47:10.0241480Z     parameterized by :attr:`cov_factor` and :attr:`cov_diag`::
2025-08-26T19:47:10.0241510Z     
2025-08-26T19:47:10.0241620Z         covariance_matrix = cov_factor @ cov_factor.T + cov_diag
2025-08-26T19:47:10.0241660Z     
2025-08-26T19:47:10.0241700Z     Example:
2025-08-26T19:47:10.0241790Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-08-26T19:47:10.0241870Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-26T19:47:10.0241940Z         >>> m = LowRankMultivariateNormal(
2025-08-26T19:47:10.0242060Z         ...     torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2)
2025-08-26T19:47:10.0242120Z         ... )
2025-08-26T19:47:10.0242300Z         >>> m.sample()  # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]`
2025-08-26T19:47:10.0242350Z         tensor([-0.2102, -0.5429])
2025-08-26T19:47:10.0242390Z     
2025-08-26T19:47:10.0242430Z     Args:
2025-08-26T19:47:10.0242580Z         loc (Tensor): mean of the distribution with shape `batch_shape + event_shape`
2025-08-26T19:47:10.0242730Z         cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape
2025-08-26T19:47:10.0242800Z             `batch_shape + event_shape + (rank,)`
2025-08-26T19:47:10.0242960Z         cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape
2025-08-26T19:47:10.0243020Z             `batch_shape + event_shape`
2025-08-26T19:47:10.0243070Z     
2025-08-26T19:47:10.0243120Z     Note:
2025-08-26T19:47:10.0243280Z         The computation for determinant and inverse of covariance matrix is avoided when
2025-08-26T19:47:10.0243420Z         `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity
2025-08-26T19:47:10.0243560Z         <https://en.wikipedia.org/wiki/Woodbury_matrix_identity>`_ and
2025-08-26T19:47:10.0243740Z         `matrix determinant lemma <https://en.wikipedia.org/wiki/Matrix_determinant_lemma>`_.
2025-08-26T19:47:10.0243890Z         Thanks to these formulas, we just need to compute the determinant and inverse of
2025-08-26T19:47:10.0243970Z         the small size "capacitance" matrix::
2025-08-26T19:47:10.0244010Z     
2025-08-26T19:47:10.0244120Z             capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor
2025-08-26T19:47:10.0244160Z     
2025-08-26T19:47:10.0244320Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0244360Z     
2025-08-26T19:47:10.0244410Z       warnings.warn(msg)
2025-08-26T19:47:10.0244450Z     
2025-08-26T19:47:10.0244560Z --- Parse Warning: 146 / 146 ---
2025-08-26T19:47:10.0245280Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixtureSameFamily in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/distributions/mixture_same_family.py line=15.
2025-08-26T19:47:10.0245440Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-26T19:47:10.0245480Z     
2025-08-26T19:47:10.0245610Z     The `MixtureSameFamily` distribution implements a (batch of) mixture
2025-08-26T19:47:10.0249130Z     distribution where all component are from different parameterizations of
2025-08-26T19:47:10.0249410Z     the same distribution type. It is parameterized by a `Categorical`
2025-08-26T19:47:10.0249530Z     "selecting distribution" (over `k` component) and a component
2025-08-26T19:47:10.0249690Z     distribution, i.e., a `Distribution` with a rightmost batch shape
2025-08-26T19:47:10.0249790Z     (equal to `[k]`) which indexes each (batch of) component.
2025-08-26T19:47:10.0249830Z     
2025-08-26T19:47:10.0249880Z     Examples::
2025-08-26T19:47:10.0249930Z     
2025-08-26T19:47:10.0250000Z         >>> # xdoctest: +SKIP("undefined vars")
2025-08-26T19:47:10.0250120Z         >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally
2025-08-26T19:47:10.0250180Z         >>> # weighted normal distributions
2025-08-26T19:47:10.0250250Z         >>> mix = D.Categorical(torch.ones(5,))
2025-08-26T19:47:10.0250340Z         >>> comp = D.Normal(torch.randn(5,), torch.rand(5,))
2025-08-26T19:47:10.0250410Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-08-26T19:47:10.0250450Z     
2025-08-26T19:47:10.0250580Z         >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally
2025-08-26T19:47:10.0250660Z         >>> # weighted bivariate normal distributions
2025-08-26T19:47:10.0250730Z         >>> mix = D.Categorical(torch.ones(5,))
2025-08-26T19:47:10.0250790Z         >>> comp = D.Independent(D.Normal(
2025-08-26T19:47:10.0250900Z         ...          torch.randn(5,2), torch.rand(5,2)), 1)
2025-08-26T19:47:10.0250970Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-08-26T19:47:10.0251010Z     
2025-08-26T19:47:10.0251120Z         >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each
2025-08-26T19:47:10.0251240Z         >>> # consisting of 5 random weighted bivariate normal distributions
2025-08-26T19:47:10.0251320Z         >>> mix = D.Categorical(torch.rand(3,5))
2025-08-26T19:47:10.0251380Z         >>> comp = D.Independent(D.Normal(
2025-08-26T19:47:10.0251460Z         ...         torch.randn(3,5,2), torch.rand(3,5,2)), 1)
2025-08-26T19:47:10.0251530Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-08-26T19:47:10.0251570Z     
2025-08-26T19:47:10.0251620Z     Args:
2025-08-26T19:47:10.0251740Z         mixture_distribution: `torch.distributions.Categorical`-like
2025-08-26T19:47:10.0251860Z             instance. Manages the probability of selecting component.
2025-08-26T19:47:10.0251960Z             The number of categories must match the rightmost batch
2025-08-26T19:47:10.0252080Z             dimension of the `component_distribution`. Must have either
2025-08-26T19:47:10.0252170Z             scalar `batch_shape` or `batch_shape` matching
2025-08-26T19:47:10.0252250Z             `component_distribution.batch_shape[:-1]`
2025-08-26T19:47:10.0252380Z         component_distribution: `torch.distributions.Distribution`-like
2025-08-26T19:47:10.0252490Z             instance. Right-most batch dimension indexes component.
2025-08-26T19:47:10.0252530Z     
2025-08-26T19:47:10.0252680Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-26T19:47:10.0252720Z     
2025-08-26T19:47:10.0252770Z       warnings.warn(msg)
2025-08-26T19:47:10.0252810Z     
2025-08-26T19:47:10.0252910Z 
2025-08-26T19:47:10.0253000Z === Found 8 run-time warnings ===
2025-08-26T19:47:10.0253100Z --- Runtime Warning: 1 / 8 ---
2025-08-26T19:47:10.0253280Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 247) at 0x137d61b80>
2025-08-26T19:47:10.0253710Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/library.py:282: UserWarning: Warning only once for all operators,  other operators may also be overridden.
2025-08-26T19:47:10.0253900Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-08-26T19:47:10.0254030Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-08-26T19:47:10.0254240Z         registered at /Users/ec2-user/runner/_work/pytorch/pytorch/build/aten/src/ATen/RegisterSchema.cpp:6
2025-08-26T19:47:10.0254340Z       dispatch key: CPU
2025-08-26T19:47:10.0254640Z       previous kernel: registered at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-08-26T19:47:10.0255020Z            new kernel: registered at /dev/null:811 (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/core/dispatch/OperatorEntry.cpp:225.)
2025-08-26T19:47:10.0255120Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-08-26T19:47:10.0255160Z     
2025-08-26T19:47:10.0255260Z --- Runtime Warning: 2 / 8 ---
2025-08-26T19:47:10.0255410Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1333) at 0x137d60440>
2025-08-26T19:47:10.0256280Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/_tensor.py:1351: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/c10/core/TensorImpl.h:1974.)
2025-08-26T19:47:10.0256350Z       return super().refine_names(names)
2025-08-26T19:47:10.0256390Z     
2025-08-26T19:47:10.0256490Z --- Runtime Warning: 3 / 8 ---
2025-08-26T19:47:10.0256650Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x14008c0b0>
2025-08-26T19:47:10.0257800Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/NestedTensorImpl.cpp:182.)
2025-08-26T19:47:10.0257960Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-08-26T19:47:10.0258000Z     
2025-08-26T19:47:10.0258100Z --- Runtime Warning: 4 / 8 ---
2025-08-26T19:47:10.0258270Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1704) at 0x137099fd0>
2025-08-26T19:47:10.0259190Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/fx/experimental/const_fold.py:271: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer
2025-08-26T19:47:10.0259300Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-08-26T19:47:10.0259330Z     
2025-08-26T19:47:10.0259430Z --- Runtime Warning: 5 / 8 ---
2025-08-26T19:47:10.0259590Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 134) at 0x1400a1ca0>
2025-08-26T19:47:10.0260130Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
2025-08-26T19:47:10.0260200Z       WeightNorm.apply(module, name, dim)
2025-08-26T19:47:10.0260240Z     
2025-08-26T19:47:10.0260340Z --- Runtime Warning: 6 / 8 ---
2025-08-26T19:47:10.0260510Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 156) at 0x1400a3f80>
2025-08-26T19:47:10.0261040Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
2025-08-26T19:47:10.0261110Z       WeightNorm.apply(module, name, dim)
2025-08-26T19:47:10.0261150Z     
2025-08-26T19:47:10.0261240Z --- Runtime Warning: 7 / 8 ---
2025-08-26T19:47:10.0261470Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 90) at 0x1406038f0>
2025-08-26T19:47:10.0262160Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-08-26T19:47:10.0262240Z       warnings.warn(
2025-08-26T19:47:10.0262280Z     
2025-08-26T19:47:10.0262380Z --- Runtime Warning: 8 / 8 ---
2025-08-26T19:47:10.0262570Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 336) at 0x1406035f0>
2025-08-26T19:47:10.0263250Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-08-26T19:47:10.0263300Z       warnings.warn(
2025-08-26T19:47:10.0263340Z     
2025-08-26T19:47:10.0263510Z === 338 passed, 393 skipped, 154 warnings in 9.85 seconds ===
2025-08-26T19:47:12.3824820Z 
2025-08-26T19:47:12.3825430Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_8b1b704c135f81f5_.log
2025-08-26T19:47:12.3826170Z 
2025-08-26T19:47:12.3830150Z Running inductor/test_benchmark_fusion 1/1 ... [2025-08-26 19:47:12.382940]
2025-08-26T19:47:12.3830480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:47:12.3833110Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:47:12.383206]
2025-08-26T19:47:14.8889670Z 
2025-08-26T19:47:14.8890300Z inductor/test_benchmark_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmark_fusion_1.1_80d1c0d4461eac05_.log
2025-08-26T19:47:14.8890870Z Running 0 items in this shard:
2025-08-26T19:47:14.8891000Z 
2025-08-26T19:47:14.8893870Z Running inductor/test_cutlass_backend 1/1 ... [2025-08-26 19:47:14.889312]
2025-08-26T19:47:14.8894170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:47:14.8896840Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:47:14.889579]
2025-08-26T19:47:17.2299570Z 
2025-08-26T19:47:17.2300230Z inductor/test_cutlass_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_backend_1.1_054e375866a18002_.log
2025-08-26T19:47:17.2300720Z 
2025-08-26T19:47:17.2303800Z Running inductor/test_distributed_patterns 1/1 ... [2025-08-26 19:47:17.230303]
2025-08-26T19:47:17.2304120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:47:17.2306910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:47:17.230586]
2025-08-26T19:47:19.5460820Z 
2025-08-26T19:47:19.5461620Z inductor/test_distributed_patterns 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_distributed_patterns_1.1_240781148912cbf5_.log
2025-08-26T19:47:19.5462130Z 
2025-08-26T19:47:19.5464890Z Running dynamo/test_fake_distributed 1/1 ... [2025-08-26 19:47:19.546415]
2025-08-26T19:47:19.5465210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:47:19.5468170Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:47:19.546688]
2025-08-26T19:47:21.4903530Z 
2025-08-26T19:47:21.4904200Z dynamo/test_fake_distributed 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fake_distributed_1.1_737901bbbb1ea083_.log
2025-08-26T19:47:21.4905380Z Running 2 items in this shard: test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_all_to_all_single_autograd, test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_device_mesh_get_local_rank
2025-08-26T19:47:21.4906040Z 
2025-08-26T19:47:21.4908440Z Running test_utils 1/1 ... [2025-08-26 19:47:21.490784]
2025-08-26T19:47:21.4908720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:47:21.4911950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:47:21.491095]
2025-08-26T19:49:23.3067470Z 
2025-08-26T19:49:23.3068060Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_7bc060ac50caee6f_.log
2025-08-26T19:49:23.4299030Z Running 6049 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint, test/test_utils.py::TestCheckpoint::test_checkpoint_module_list, test/test_utils.py::TestCheckpoint::test_checkpoint_no_tensors, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor_inputs_outputs, test/test_utils.py::TestCheckpoint::test_checkpoint_not_preserve_rng_state_and_without_reentrant, test/test_utils.py::TestCheckpoint::test_checkpoint_partial_grad, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cpu, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cuda, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_multiple_args, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_no_args, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_valid, test/test_utils.py::TestCheckpoint::test_checkpointing_without_reentrant_early_free, test/test_utils.py::TestCheckpoint::test_get_device_states_recursive, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_meta, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_multi_cuda, test/test_utils.py::TestDataLoaderUtils::test_multi_drop, test/test_utils.py::TestDataLoaderUtils::test_multi_keep, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_single_drop, test/test_utils.py::TestDataLoaderUtils::test_single_keep, test/test_utils.py::TestBottleneck::test_bottleneck_cpu_only, test/test_utils.py::TestBottleneck::test_bottleneck_cuda, test/test_utils.py::TestCollectEnv::test_smoke, test/test_utils.py::TestONNXUtils::test_check_onnx_broadcast, test/test_utils.py::TestONNXUtils::test_prepare_onnx_paddings, test/test_utils.py::TestHipify::test_import_hipify, test/test_utils.py::TestHipifyTrie::test_add_and_search_trie, test/test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie, test/test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_quote_escape, test/test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex, test/test_utils.py::TestAssert::test_assert_scriptable, test/test_utils.py::TestAssert::test_assert_true, test/test_utils.py::TestStandaloneCPPJIT::test_load_standalone, test/test_utils.py::TestRenderUtils::test_basic, test/test_utils.py::TestDeviceUtilsCPU::test_basic_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_generator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_uint8, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_shapes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_uint8, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_one_hot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i0e_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_i1e_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_laguerre_polynomial_l_cpu_uint8, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_log_ndtr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_modified_bessel_i0_cpu_int16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_more_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_nn_module_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_set_default_device_cpu, test/test_utils.py::TestCppExtensionUtils::test_cc_compiler_is_ok, test/test_utils.py::TestCppExtensionUtils::test_cpp_compiler_is_ok, test/test_utils.py::TestTraceback::test_basic, test/test_utils.py::TestTraceback::test_captured_traceback, test/test_utils.py::TestTraceback::test_captured_traceback_format_all, test/test_utils.py::TestTraceback::test_captured_traceback_format_all_cached, test/test_utils.py::TestTraceback::test_format_traceback_short, test/test_utils.py::TestTryImport::test_import_existing, test/test_utils.py::TestTryImport::test_import_imported, test/test_utils.py::TestTryImport::test_import_missing, test/test_utils.py::TestDeprecate::test_deprecated
2025-08-26T19:49:23.5767220Z 
2025-08-26T19:49:23.5767330Z Running test_fx 1/1 ... [2025-08-26 19:49:23.312910]
2025-08-26T19:49:23.5767580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:49:23.5768300Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:49:23.313287]
2025-08-26T19:49:40.5423080Z 
2025-08-26T19:49:40.5423800Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_7971017c77679798_.log
2025-08-26T19:49:40.5691950Z Running 1154 items in this shard: test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cpu, test/test_fx.py::TestCSEPass::test_banned_list, test/test_fx.py::TestCSEPass::test_empty, test/test_fx.py::TestCSEPass::test_immutable_list_multiple_entries, test/test_fx.py::TestCSEPass::test_immutable_list_type, test/test_fx.py::TestCSEPass::test_kwarg, test/test_fx.py::TestCSEPass::test_nested_immutable_list_type, test/test_fx.py::TestCSEPass::test_nochange, test/test_fx.py::TestCSEPass::test_rand_like, test/test_fx.py::TestCSEPass::test_rand_n, test/test_fx.py::TestCSEPass::test_random, test/test_fx.py::TestCSEPass::test_simple, test/test_fx.py::TestCSEPass::test_simple_2, test/test_fx.py::TestCSEPass::test_simple_multiple_same_ops, test/test_fx.py::TestCSEPass::test_two_args, test/test_fx.py::TestCSEPass::test_two_args_default, test/test_fx.py::TestDCE::test_dead_chain, test/test_fx.py::TestDCE::test_dead_getattr, test/test_fx.py::TestDCE::test_dead_placeholder, test/test_fx.py::TestDCE::test_dead_placeholder_with_user, test/test_fx.py::TestDCE::test_impure_custom, test/test_fx.py::TestDCE::test_impure_kwargs, test/test_fx.py::TestDCE::test_impure_nodes_args, test/test_fx.py::TestDCE::test_impure_random, test/test_fx.py::TestDCE::test_keep_collectives, test/test_fx.py::TestDCE::test_keep_collectives_no_overload, 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test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx_tensor_arg, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_dict_int_keys, test/test_fx.py::TestFX::test_trace_dict_proxy_keys, test/test_fx.py::TestFX::test_trace_fn_constant, test/test_fx.py::TestFX::test_trace_function, test/test_fx.py::TestFX::test_trace_multiple_funcs, test/test_fx.py::TestFX::test_trace_return_dataclass, test/test_fx.py::TestFX::test_trace_return_dataclass_nested, test/test_fx.py::TestFX::test_trace_return_namedtuple, test/test_fx.py::TestFX::test_tracing_graphmodules_as_leaf_submodules, test/test_fx.py::TestFX::test_transformer_multi_outputs, test/test_fx.py::TestFX::test_transformer_noop, test/test_fx.py::TestFX::test_transformer_op_swap, test/test_fx.py::TestFX::test_transformer_preserves_nn_module_stack_for_get_attr, test/test_fx.py::TestFX::test_tuple_no_subscript, test/test_fx.py::TestFX::test_typename_print, test/test_fx.py::TestFX::test_typename_print_pre_pep585, test/test_fx.py::TestFX::test_unpack, test/test_fx.py::TestFX::test_unpack_dict_better_error, test/test_fx.py::TestFX::test_unpack_list_better_error, test/test_fx.py::TestFX::test_update_args_api, test/test_fx.py::TestFX::test_update_args_kwargs_yells_at_you, test/test_fx.py::TestFX::test_update_kwargs_api, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_function, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_module, test/test_fx.py::TestFX::test_varargs_concrete, test/test_fx.py::TestFX::test_wrap, test/test_fx.py::TestFX::test_wrap_decorated_function, test/test_fx.py::TestFX::test_wrap_fn_directly, test/test_fx.py::TestFX::test_wrap_with_submodule, test/test_fx.py::TestFX::test_wrapped_method, test/test_fx.py::TestFX::test_wrapped_retrace, test/test_fx.py::TestFX::test_wrapped_via_decorator, test/test_fx.py::TestFX::test_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_wrong_target_type, test/test_fx.py::TestFX::test_wrong_topo, test/test_fx.py::TestFXAPIBackwardCompatibility::test_adding_side_effect_function, test/test_fx.py::TestFXAPIBackwardCompatibility::test_class_member_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_function_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_preserve_unused_attr_after_unpickle, test/test_fx.py::TestFXAPIBackwardCompatibility::test_public_api_surface, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_affine_grid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_batch_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy_with_logits, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_tbc, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_similarity, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_ctc_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding_bag, test/test_fx.py::TestFunctionalTracing::test_nn_functional_feature_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gaussian_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_glu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_grid_sample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_group_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gumbel_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardswish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hinge_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_huber_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_instance_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_interpolate, test/test_fx.py::TestFunctionalTracing::test_nn_functional_kl_div, test/test_fx.py::TestFunctionalTracing::test_nn_functional_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_layer_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_linear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_local_response_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_log_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_logsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_margin_ranking_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mse_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_head_attention_forward, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_native_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_normalize, test/test_fx.py::TestFunctionalTracing::test_nn_functional_one_hot, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pad, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pairwise_distance, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pdist, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_unshuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_poisson_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_prelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu6, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rms_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_scaled_dot_product_attention, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_silu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_smooth_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmin, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softplus, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_with_distance_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_unfold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_nearest, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_H_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_T_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___getitem___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___radd___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rdiv___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmatmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmod___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rpow___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rsub___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__batch_norm_with_update_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__chunk_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__native_batch_norm_legit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_lengths_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_offsets_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__softmax_backward_data_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_abs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcdiv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_decomposed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_alias_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_all_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_allclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_aminmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_angle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_any_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_arange_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argsort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argwhere_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_partial_views_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_baddbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bernoulli_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bfloat16_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_block_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bool_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_shapes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bucketize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_byte_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cartesian_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cauchy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdouble_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ceil_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cfloat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chalf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_char_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_inverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_max_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_min_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clone_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_column_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_combinations_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_physical_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_constant_pad_nd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_contiguous_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_copysign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_corrcoef_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_count_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cov_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumulative_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_deg2rad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_embed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagflat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diff_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_digamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_floor_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_no_rounding_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_trunc_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_double_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_einsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_permuted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_equal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expm1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eye_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flip_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fliplr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flipud_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gather_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ge_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geometric_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geqrf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gradient_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_half_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hash_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_heaviside_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogram_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogramdd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hypot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igammac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_inner_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_int_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isfinite_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isnan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isneginf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isposinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isreal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_item_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_unary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kron_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kthvalue_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ldexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_le_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lerp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lgamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cond_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_det_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eig_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvalsh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_householder_product_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_multi_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_singular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_slogdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_triangular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svdvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorsolve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vander_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vecdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vector_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log10_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log1p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logcumsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_and_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_not_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_or_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_xor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_long_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_unpack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mH_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mT_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matrix_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_maximum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_minimum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_movedim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_msort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_multinomial_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nan_to_num_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmedian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanquantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nansum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_dropout_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ne_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nextafter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_celu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_ctc_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_elu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_glu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_grid_sample_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_group_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardswish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardtanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_instance_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_area_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bicubic_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_kl_div_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_local_response_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_negative_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_prelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu6_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rms_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rrelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_selu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_silu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softplus_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softsign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_tanhshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_threshold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_static_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_fro_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_inf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_nuc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_in_place_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_number_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ormqr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_outer_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pca_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pinverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polar_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_positive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_quantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rad2deg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rand_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ravel_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_real_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reciprocal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_remainder_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_renorm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_interleave_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize_as__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_roll_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rot90_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_neg_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scalar_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_searchsorted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sgn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_short_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_bartlett_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_blackman_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_gaussian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hann_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_kaiser_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_nuttall_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signbit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_mm_reduce_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_airy_ai_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_entr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_erfcx_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i0e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_log_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtri_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_xlog1py_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_zeta_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_list_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_square_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_multiple_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_to_size_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_along_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensor_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensordot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_sparse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_topk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapz_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triangular_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tril_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_true_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trunc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unflatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_uniform_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_consecutive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_where_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_xlogy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zero__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_like_cpu_float32
2025-08-26T19:49:40.5933020Z 
2025-08-26T19:49:40.5933190Z Running test_transformers_privateuse1 1/1 ... [2025-08-26 19:49:40.543712]
2025-08-26T19:49:41.3389660Z -- The CXX compiler identification is AppleClang 15.0.0.15000309
2025-08-26T19:49:41.3878680Z -- The C compiler identification is AppleClang 15.0.0.15000309
2025-08-26T19:49:41.4056050Z -- Detecting CXX compiler ABI info
2025-08-26T19:49:41.5377170Z -- Detecting CXX compiler ABI info - done
2025-08-26T19:49:41.5415630Z -- Check for working CXX compiler: /Library/Developer/CommandLineTools/usr/bin/clang++ - skipped
2025-08-26T19:49:41.5417290Z -- Detecting CXX compile features
2025-08-26T19:49:41.5420940Z -- Detecting CXX compile features - done
2025-08-26T19:49:41.5569780Z -- Detecting C compiler ABI info
2025-08-26T19:49:41.6523980Z -- Detecting C compiler ABI info - done
2025-08-26T19:49:41.6561350Z -- Check for working C compiler: /Library/Developer/CommandLineTools/usr/bin/clang - skipped
2025-08-26T19:49:41.6563540Z -- Detecting C compile features
2025-08-26T19:49:41.6566210Z -- Detecting C compile features - done
2025-08-26T19:49:41.6894510Z CMake Warning at /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
2025-08-26T19:49:41.6895060Z   static library kineto_LIBRARY-NOTFOUND not found.
2025-08-26T19:49:41.6895400Z Call Stack (most recent call first):
2025-08-26T19:49:41.6895970Z   /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found)
2025-08-26T19:49:41.6896500Z   CMakeLists.txt:29 (find_package)
2025-08-26T19:49:41.6896630Z 
2025-08-26T19:49:41.6896630Z 
2025-08-26T19:49:41.6900480Z -- Found Torch: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib/libtorch.dylib  
2025-08-26T19:49:41.6942210Z -- Configuring done (0.4s)
2025-08-26T19:49:41.7102340Z -- Generating done (0.0s)
2025-08-26T19:49:41.7139220Z -- Build files have been written to: /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/torch_openreg/build
2025-08-26T19:49:41.7748960Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o
2025-08-26T19:49:41.7749460Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o
2025-08-26T19:49:42.0665600Z [ 17%] Linking CXX shared library libopenreg.dylib
2025-08-26T19:49:42.1046580Z [ 17%] Built target openreg
2025-08-26T19:49:42.1219360Z [ 29%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o
2025-08-26T19:49:42.1221510Z [ 29%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o
2025-08-26T19:49:42.1221970Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o
2025-08-26T19:49:42.1223580Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o
2025-08-26T19:49:42.1250630Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o
2025-08-26T19:49:42.1251610Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o
2025-08-26T19:49:42.1267960Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o
2025-08-26T19:49:42.1269760Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o
2025-08-26T19:49:42.6469650Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o
2025-08-26T19:49:42.6542010Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o
2025-08-26T19:49:42.7766510Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o
2025-08-26T19:49:46.2759320Z [ 88%] Linking CXX shared library libtorch_openreg.dylib
2025-08-26T19:49:46.3878620Z [ 88%] Built target torch_openreg
2025-08-26T19:49:46.4018850Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o
2025-08-26T19:49:49.4008280Z [100%] Linking CXX shared library libtorch_bindings.dylib
2025-08-26T19:49:49.4972870Z [100%] Built target torch_bindings
2025-08-26T19:49:49.5086100Z Install the project...
2025-08-26T19:49:49.5123170Z -- Install configuration: ""
2025-08-26T19:49:49.5769080Z running install
2025-08-26T19:49:49.5770580Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T19:49:49.5771130Z !!
2025-08-26T19:49:49.5771210Z 
2025-08-26T19:49:49.5771300Z         ********************************************************************************
2025-08-26T19:49:49.5771550Z         Please avoid running ``setup.py`` directly.
2025-08-26T19:49:49.5771810Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T19:49:49.5777620Z         standards-based tools.
2025-08-26T19:49:49.5777740Z 
2025-08-26T19:49:49.5777940Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T19:49:49.5778290Z         ********************************************************************************
2025-08-26T19:49:49.5778450Z 
2025-08-26T19:49:49.5778500Z !!
2025-08-26T19:49:49.5778620Z   self.initialize_options()
2025-08-26T19:49:49.5835800Z running build
2025-08-26T19:49:49.5836010Z running build_py
2025-08-26T19:49:49.5863820Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-08-26T19:49:49.5864470Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_openreg
2025-08-26T19:49:49.5865340Z copying torch_openreg/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg
2025-08-26T19:49:49.5873710Z copying torch_openreg/_utils.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg
2025-08-26T19:49:49.5882060Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/openreg
2025-08-26T19:49:49.5882520Z copying torch_openreg/openreg/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/openreg
2025-08-26T19:49:49.5889650Z copying torch_openreg/openreg/random.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/openreg
2025-08-26T19:49:49.5896790Z copying torch_openreg/openreg/meta.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/openreg
2025-08-26T19:49:49.5908040Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/lib
2025-08-26T19:49:49.5908500Z copying torch_openreg/lib/libtorch_bindings.dylib -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/lib
2025-08-26T19:49:49.5914580Z copying torch_openreg/lib/libopenreg.dylib -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/lib
2025-08-26T19:49:49.5916140Z copying torch_openreg/lib/libtorch_openreg.dylib -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/lib
2025-08-26T19:49:49.5936430Z running build_ext
2025-08-26T19:49:49.5969600Z building 'torch_openreg._C' extension
2025-08-26T19:49:49.5970000Z creating build/temp.macosx-14.0-arm64-cpython-312
2025-08-26T19:49:49.5970900Z creating build/temp.macosx-14.0-arm64-cpython-312/torch_openreg
2025-08-26T19:49:49.5971360Z creating build/temp.macosx-14.0-arm64-cpython-312/torch_openreg/csrc
2025-08-26T19:49:49.5973750Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c torch_openreg/csrc/stub.c -o build/temp.macosx-14.0-arm64-cpython-312/torch_openreg/csrc/stub.o -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-unknown-pragmas -fno-strict-aliasing
2025-08-26T19:49:49.6605950Z clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/torch_openreg/csrc/stub.o -L/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/torch_openreg/torch_openreg/lib -ltorch_bindings -o build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/_C.cpython-312-darwin.so -Wl,-rpath,@loader_path/lib
2025-08-26T19:49:49.6929690Z running install_lib
2025-08-26T19:49:49.6968430Z creating install
2025-08-26T19:49:49.6968940Z creating install/Users
2025-08-26T19:49:49.6969550Z creating install/Users/ec2-user
2025-08-26T19:49:49.6970060Z creating install/Users/ec2-user/runner
2025-08-26T19:49:49.6970610Z creating install/Users/ec2-user/runner/_work
2025-08-26T19:49:49.6971180Z creating install/Users/ec2-user/runner/_work/_temp
2025-08-26T19:49:49.6971740Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T19:49:49.6972300Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib
2025-08-26T19:49:49.6972820Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12
2025-08-26T19:49:49.6973360Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages
2025-08-26T19:49:49.6974340Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg
2025-08-26T19:49:49.6975150Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/__init__.py -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg
2025-08-26T19:49:49.6976930Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/_C.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg
2025-08-26T19:49:49.6978800Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/lib
2025-08-26T19:49:49.6979620Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/lib/libtorch_bindings.dylib -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/lib
2025-08-26T19:49:49.6985710Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/lib/libopenreg.dylib -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/lib
2025-08-26T19:49:49.6987410Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/lib/libtorch_openreg.dylib -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/lib
2025-08-26T19:49:49.7000800Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/openreg
2025-08-26T19:49:49.7001610Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/openreg/__init__.py -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/openreg
2025-08-26T19:49:49.7002700Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/openreg/random.py -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/openreg
2025-08-26T19:49:49.7003750Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/openreg/meta.py -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/openreg
2025-08-26T19:49:49.7004900Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/_utils.py -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg
2025-08-26T19:49:49.7010220Z byte-compiling ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/__init__.py to __init__.cpython-312.pyc
2025-08-26T19:49:49.7013880Z byte-compiling ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/openreg/__init__.py to __init__.cpython-312.pyc
2025-08-26T19:49:49.7034310Z byte-compiling ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/openreg/random.py to random.cpython-312.pyc
2025-08-26T19:49:49.7038510Z byte-compiling ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/openreg/meta.py to meta.cpython-312.pyc
2025-08-26T19:49:49.7040530Z byte-compiling ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/_utils.py to _utils.cpython-312.pyc
2025-08-26T19:49:49.7044250Z running install_egg_info
2025-08-26T19:49:49.7100680Z running egg_info
2025-08-26T19:49:49.7100900Z creating torch_openreg.egg-info
2025-08-26T19:49:49.7127800Z writing torch_openreg.egg-info/PKG-INFO
2025-08-26T19:49:49.7131540Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt
2025-08-26T19:49:49.7132500Z writing requirements to torch_openreg.egg-info/requires.txt
2025-08-26T19:49:49.7133320Z writing top-level names to torch_openreg.egg-info/top_level.txt
2025-08-26T19:49:49.7134310Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-26T19:49:49.7168520Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-26T19:49:49.7172130Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-26T19:49:49.7172980Z Copying torch_openreg.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg-0.0.1-py3.12.egg-info
2025-08-26T19:49:49.7185140Z running install_scripts
2025-08-26T19:49:49.8775470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:49:49.8779990Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_transformers_privateuse1.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:49:49.877880]
2025-08-26T19:49:52.0798090Z 
2025-08-26T19:49:52.0798780Z test_transformers_privateuse1 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_privateuse1_1.1_b4cea189a505e0bd_.log
2025-08-26T19:49:52.0800570Z Running 3 items in this shard: test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_fused_sdp_choice_privateuseone, test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable, test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable_backward
2025-08-26T19:49:52.0801820Z 
2025-08-26T19:49:52.0803570Z Running test_cpp_api_parity 1/1 ... [2025-08-26 19:49:52.080305]
2025-08-26T19:49:52.0803920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:49:52.0807230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:49:52.080613]
2025-08-26T19:50:10.3715420Z 
2025-08-26T19:50:10.3716150Z test_cpp_api_parity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_api_parity_1.1_7eda949807cd4dee_.log
2025-08-26T19:50:10.3825560Z Running 488 items in this shard: test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda
2025-08-26T19:50:10.3930620Z 
2025-08-26T19:50:10.3930750Z Running test_extension_utils 1/1 ... [2025-08-26 19:50:10.373086]
2025-08-26T19:50:10.3931020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:50:10.3931750Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_extension_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:50:10.373359]
2025-08-26T19:50:12.2450930Z 
2025-08-26T19:50:12.2451500Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_72c561381167d726_.log
2025-08-26T19:50:12.2453230Z Running 2 items in this shard: test/test_extension_utils.py::TestExtensionUtils::test_external_module_register, test/test_extension_utils.py::TestExtensionUtils::test_external_module_register_with_renamed_backend
2025-08-26T19:50:12.2453850Z 
2025-08-26T19:50:12.2455330Z Running test_openreg 1/1 ... [2025-08-26 19:50:12.245490]
2025-08-26T19:50:13.0401390Z -- The CXX compiler identification is AppleClang 15.0.0.15000309
2025-08-26T19:50:13.0889800Z -- The C compiler identification is AppleClang 15.0.0.15000309
2025-08-26T19:50:13.1064640Z -- Detecting CXX compiler ABI info
2025-08-26T19:50:13.2037200Z -- Detecting CXX compiler ABI info - done
2025-08-26T19:50:13.2075820Z -- Check for working CXX compiler: /Library/Developer/CommandLineTools/usr/bin/clang++ - skipped
2025-08-26T19:50:13.2077480Z -- Detecting CXX compile features
2025-08-26T19:50:13.2081160Z -- Detecting CXX compile features - done
2025-08-26T19:50:13.2233850Z -- Detecting C compiler ABI info
2025-08-26T19:50:13.3190200Z -- Detecting C compiler ABI info - done
2025-08-26T19:50:13.3227560Z -- Check for working C compiler: /Library/Developer/CommandLineTools/usr/bin/clang - skipped
2025-08-26T19:50:13.3229700Z -- Detecting C compile features
2025-08-26T19:50:13.3232460Z -- Detecting C compile features - done
2025-08-26T19:50:13.3375020Z CMake Warning at /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
2025-08-26T19:50:13.3375630Z   static library kineto_LIBRARY-NOTFOUND not found.
2025-08-26T19:50:13.3375860Z Call Stack (most recent call first):
2025-08-26T19:50:13.3376370Z   /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found)
2025-08-26T19:50:13.3376880Z   CMakeLists.txt:29 (find_package)
2025-08-26T19:50:13.3377010Z 
2025-08-26T19:50:13.3377020Z 
2025-08-26T19:50:13.3380860Z -- Found Torch: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib/libtorch.dylib  
2025-08-26T19:50:13.3397650Z -- Configuring done (0.4s)
2025-08-26T19:50:13.3545410Z -- Generating done (0.0s)
2025-08-26T19:50:13.3581670Z -- Build files have been written to: /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/torch_openreg/build
2025-08-26T19:50:13.4186640Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o
2025-08-26T19:50:13.4187130Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o
2025-08-26T19:50:13.7079560Z [ 17%] Linking CXX shared library libopenreg.dylib
2025-08-26T19:50:13.7465300Z [ 17%] Built target openreg
2025-08-26T19:50:13.7635890Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o
2025-08-26T19:50:13.7637170Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o
2025-08-26T19:50:13.7639010Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o
2025-08-26T19:50:13.7641000Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o
2025-08-26T19:50:13.7657740Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o
2025-08-26T19:50:13.7668400Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o
2025-08-26T19:50:13.7669020Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o
2025-08-26T19:50:13.7706890Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o
2025-08-26T19:50:14.3131200Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o
2025-08-26T19:50:14.3322680Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o
2025-08-26T19:50:14.4711730Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o
2025-08-26T19:50:17.9022380Z [ 88%] Linking CXX shared library libtorch_openreg.dylib
2025-08-26T19:50:18.0026110Z [ 88%] Built target torch_openreg
2025-08-26T19:50:18.0167370Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o
2025-08-26T19:50:21.0095790Z [100%] Linking CXX shared library libtorch_bindings.dylib
2025-08-26T19:50:21.1094610Z [100%] Built target torch_bindings
2025-08-26T19:50:21.1207980Z Install the project...
2025-08-26T19:50:21.1244740Z -- Install configuration: ""
2025-08-26T19:50:21.1840950Z running install
2025-08-26T19:50:21.1842200Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T19:50:21.1842750Z !!
2025-08-26T19:50:21.1905580Z 
2025-08-26T19:50:21.1905690Z         ********************************************************************************
2025-08-26T19:50:21.1905960Z         Please avoid running ``setup.py`` directly.
2025-08-26T19:50:21.1906220Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T19:50:21.1906450Z         standards-based tools.
2025-08-26T19:50:21.1906570Z 
2025-08-26T19:50:21.1906770Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T19:50:21.1907100Z         ********************************************************************************
2025-08-26T19:50:21.1907440Z 
2025-08-26T19:50:21.1907530Z !!
2025-08-26T19:50:21.1907650Z   self.initialize_options()
2025-08-26T19:50:21.1907810Z running build
2025-08-26T19:50:21.1907940Z running build_py
2025-08-26T19:50:21.1933160Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-08-26T19:50:21.1933720Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_openreg
2025-08-26T19:50:21.1934430Z copying torch_openreg/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg
2025-08-26T19:50:21.1936850Z copying torch_openreg/_utils.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg
2025-08-26T19:50:21.1939050Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/openreg
2025-08-26T19:50:21.1939500Z copying torch_openreg/openreg/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/openreg
2025-08-26T19:50:21.1940560Z copying torch_openreg/openreg/random.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/openreg
2025-08-26T19:50:21.1941990Z copying torch_openreg/openreg/meta.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/openreg
2025-08-26T19:50:21.1947300Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/lib
2025-08-26T19:50:21.1947970Z copying torch_openreg/lib/libtorch_bindings.dylib -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/lib
2025-08-26T19:50:21.1954050Z copying torch_openreg/lib/libopenreg.dylib -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/lib
2025-08-26T19:50:21.1956900Z copying torch_openreg/lib/libtorch_openreg.dylib -> build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/lib
2025-08-26T19:50:21.1970670Z running build_ext
2025-08-26T19:50:21.2004790Z building 'torch_openreg._C' extension
2025-08-26T19:50:21.2005250Z creating build/temp.macosx-14.0-arm64-cpython-312
2025-08-26T19:50:21.2006020Z creating build/temp.macosx-14.0-arm64-cpython-312/torch_openreg
2025-08-26T19:50:21.2006640Z creating build/temp.macosx-14.0-arm64-cpython-312/torch_openreg/csrc
2025-08-26T19:50:21.2008950Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c torch_openreg/csrc/stub.c -o build/temp.macosx-14.0-arm64-cpython-312/torch_openreg/csrc/stub.o -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-unknown-pragmas -fno-strict-aliasing
2025-08-26T19:50:21.2459030Z clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/torch_openreg/csrc/stub.o -L/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/torch_openreg/torch_openreg/lib -ltorch_bindings -o build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/_C.cpython-312-darwin.so -Wl,-rpath,@loader_path/lib
2025-08-26T19:50:21.2773820Z running install_lib
2025-08-26T19:50:21.2813490Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/_C.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg
2025-08-26T19:50:21.2816830Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/lib/libtorch_bindings.dylib -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/lib
2025-08-26T19:50:21.2823370Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/lib/libopenreg.dylib -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/lib
2025-08-26T19:50:21.2825330Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_openreg/lib/libtorch_openreg.dylib -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg/lib
2025-08-26T19:50:21.2843240Z running install_egg_info
2025-08-26T19:50:21.2899800Z running egg_info
2025-08-26T19:50:21.2925500Z writing torch_openreg.egg-info/PKG-INFO
2025-08-26T19:50:21.2930260Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt
2025-08-26T19:50:21.2931480Z writing requirements to torch_openreg.egg-info/requires.txt
2025-08-26T19:50:21.2932320Z writing top-level names to torch_openreg.egg-info/top_level.txt
2025-08-26T19:50:21.2966430Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-26T19:50:21.2970650Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt'
2025-08-26T19:50:21.2971920Z removing './install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg-0.0.1-py3.12.egg-info' (and everything under it)
2025-08-26T19:50:21.2975870Z Copying torch_openreg.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_openreg-0.0.1-py3.12.egg-info
2025-08-26T19:50:21.2988460Z running install_scripts
2025-08-26T19:50:21.4568730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:50:21.4572880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_openreg.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:50:21.457179]
2025-08-26T19:50:24.1559690Z 
2025-08-26T19:50:24.1560390Z test_openreg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openreg_1.1_6ba85d09ebc4e651_.log
2025-08-26T19:50:24.1568500Z Running 44 items in this shard: test/test_openreg.py::TestPrivateUse1::test_backend_dispatchstub, test/test_openreg.py::TestPrivateUse1::test_backend_generate_methods, test/test_openreg.py::TestPrivateUse1::test_backend_module_function, test/test_openreg.py::TestPrivateUse1::test_backend_module_methods, test/test_openreg.py::TestPrivateUse1::test_backend_module_registration, test/test_openreg.py::TestPrivateUse1::test_backend_name, test/test_openreg.py::TestPrivateUse1::test_backend_operator_registration, test/test_openreg.py::TestPrivateUse1::test_backend_packed_sequence_methods, test/test_openreg.py::TestPrivateUse1::test_backend_storage_methods, test/test_openreg.py::TestPrivateUse1::test_backend_tensor_methods, test/test_openreg.py::TestPrivateUse1::test_backend_tensor_type, test/test_openreg.py::TestPrivateUse1::test_backend_type_methods, test/test_openreg.py::TestOpenReg::test_autograd_init, test/test_openreg.py::TestOpenReg::test_compile_autograd_function_aliasing, test/test_openreg.py::TestOpenReg::test_compile_autograd_function_returns_self, test/test_openreg.py::TestOpenReg::test_copy_same_device, test/test_openreg.py::TestOpenReg::test_cross_device_copy, test/test_openreg.py::TestOpenReg::test_cross_diff_devices_copy, test/test_openreg.py::TestOpenReg::test_data_dependent_output, test/test_openreg.py::TestOpenReg::test_event_elapsed_time, test/test_openreg.py::TestOpenReg::test_event_wait_stream, test/test_openreg.py::TestOpenReg::test_expand, test/test_openreg.py::TestOpenReg::test_factory, test/test_openreg.py::TestOpenReg::test_fake_tensor, test/test_openreg.py::TestOpenReg::test_generator, test/test_openreg.py::TestOpenReg::test_manual_seed, test/test_openreg.py::TestOpenReg::test_named_tensor, test/test_openreg.py::TestOpenReg::test_open_device_cpu_serialization, test/test_openreg.py::TestOpenReg::test_open_device_dlpack, test/test_openreg.py::TestOpenReg::test_open_device_numpy_serialization, test/test_openreg.py::TestOpenReg::test_pin_memory, test/test_openreg.py::TestOpenReg::test_printing, test/test_openreg.py::TestOpenReg::test_quantize, test/test_openreg.py::TestOpenReg::test_record_event, test/test_openreg.py::TestOpenReg::test_resize, test/test_openreg.py::TestOpenReg::test_rewrapped_storage, test/test_openreg.py::TestOpenReg::test_rng_state, test/test_openreg.py::TestOpenReg::test_scalar_type_fallback, test/test_openreg.py::TestOpenReg::test_serialization, test/test_openreg.py::TestOpenReg::test_stream_synchronize, test/test_openreg.py::TestOpenReg::test_stream_wait_event, test/test_openreg.py::TestOpenReg::test_stream_wait_stream, test/test_openreg.py::TestOpenReg::test_tensor_type_fallback, test/test_openreg.py::TestOpenReg::test_tensorlist_type_fallback
2025-08-26T19:50:24.1576220Z 
2025-08-26T19:50:24.1576360Z Running test_show_pickle 1/1 ... [2025-08-26 19:50:24.156434]
2025-08-26T19:50:24.1576640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:50:24.1577590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:50:24.156726]
2025-08-26T19:50:26.0448520Z 
2025-08-26T19:50:26.0449080Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_447552a72581ffce_.log
2025-08-26T19:50:26.0449740Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model
2025-08-26T19:50:26.0450010Z 
2025-08-26T19:50:26.0452740Z Running test_torch 1/1 ... [2025-08-26 19:50:26.045222]
2025-08-26T19:50:26.0453000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:50:26.0455700Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:50:26.045482]
2025-08-26T19:50:32.7586760Z 
2025-08-26T19:50:32.7587250Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_cdd8608928190d79_.log
2025-08-26T19:50:32.7758210Z Running 953 items in this shard: test/test_torch.py::TestBasicVitalSigns::test_basic_vitals, test/test_torch.py::TestBasicVitalSigns::test_basic_vitals_read_write, test/test_torch.py::TestBasicVitalSigns::test_dataloader_vitals, test/test_torch.py::TestTorch::test_RNGState, test/test_torch.py::TestTorch::test_RNGStateAliasing, test/test_torch.py::TestTorch::test_RNG_after_pickle, test/test_torch.py::TestTorch::test_Size, test/test_torch.py::TestTorch::test_Size_concat_non_tuple_sequence, test/test_torch.py::TestTorch::test_Size_concat_wildcard, test/test_torch.py::TestTorch::test_Size_iter, test/test_torch.py::TestTorch::test_Size_scalar, test/test_torch.py::TestTorch::test_add_meta_scalar, test/test_torch.py::TestTorch::test_allow_tensor_metadata_change, test/test_torch.py::TestTorch::test_apply, test/test_torch.py::TestTorch::test_as_subclass, test/test_torch.py::TestTorch::test_assert_async, test/test_torch.py::TestTorch::test_backward_hooks_traverse, test/test_torch.py::TestTorch::test_batch_norm_cpu_inference, test/test_torch.py::TestTorch::test_bf16_supported_on_cpu, test/test_torch.py::TestTorch::test_bmm_multithreaded, test/test_torch.py::TestTorch::test_boxMullerState, test/test_torch.py::TestTorch::test_cat_neg_dim, test/test_torch.py::TestTorch::test_check, test/test_torch.py::TestTorch::test_chunk_neg_dim, test/test_torch.py::TestTorch::test_conj_neg_tolist, test/test_torch.py::TestTorch::test_conj_physical_meta_stride, test/test_torch.py::TestTorch::test_contains, test/test_torch.py::TestTorch::test_copy_broadcast, test/test_torch.py::TestTorch::test_copy_dtypes, test/test_torch.py::TestTorch::test_copy_float16, test/test_torch.py::TestTorch::test_copy_many_to_one, test/test_torch.py::TestTorch::test_copy_transpose, test/test_torch.py::TestTorch::test_cuda_not_built, test/test_torch.py::TestTorch::test_cummax_neg_dim, test/test_torch.py::TestTorch::test_cummin_neg_dim, test/test_torch.py::TestTorch::test_cumprod_neg_dim, test/test_torch.py::TestTorch::test_cumsum_neg_dim, test/test_torch.py::TestTorch::test_cxx_flags, test/test_torch.py::TestTorch::test_data_ptr_of_empty_tensor_with_storage, test/test_torch.py::TestTorch::test_data_ptr_of_empty_view_with_storage, test/test_torch.py::TestTorch::test_deepcopy_gradient, test/test_torch.py::TestTorch::test_deepcopy_parameter, test/test_torch.py::TestTorch::test_deterministic_fill_uninitialized_memory, test/test_torch.py::TestTorch::test_deterministic_flag, test/test_torch.py::TestTorch::test_device, test/test_torch.py::TestTorch::test_dim_order, test/test_torch.py::TestTorch::test_dir, test/test_torch.py::TestTorch::test_doc, test/test_torch.py::TestTorch::test_doc_template, test/test_torch.py::TestTorch::test_dot_data_use, test/test_torch.py::TestTorch::test_dtype_is_signed, test/test_torch.py::TestTorch::test_element_size, test/test_torch.py::TestTorch::test_empty_meta, test/test_torch.py::TestTorch::test_empty_storage_view, test/test_torch.py::TestTorch::test_equal, test/test_torch.py::TestTorch::test_error_msg_type_translation, test/test_torch.py::TestTorch::test_fill_diagonal, test/test_torch.py::TestTorch::test_format_scalar_meta, test/test_torch.py::TestTorch::test_from_buffer, test/test_torch.py::TestTorch::test_from_file, test/test_torch.py::TestTorch::test_gather_neg_dim, test/test_torch.py::TestTorch::test_generator_cpu, test/test_torch.py::TestTorch::test_get_cpu_capability, test/test_torch.py::TestTorch::test_has_internal_overlap, test/test_torch.py::TestTorch::test_has_storage, test/test_torch.py::TestTorch::test_index_add, test/test_torch.py::TestTorch::test_index_add_all_dtypes, test/test_torch.py::TestTorch::test_index_add_cornercase, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_neg_dim, test/test_torch.py::TestTorch::test_index_copy_neg_dim, test/test_torch.py::TestTorch::test_index_fill_neg_dim, test/test_torch.py::TestTorch::test_index_select_neg_dim, test/test_torch.py::TestTorch::test_invalid_arg_error_handling, test/test_torch.py::TestTorch::test_invalid_generator_raises, test/test_torch.py::TestTorch::test_is_nonzero, test/test_torch.py::TestTorch::test_is_same_size, test/test_torch.py::TestTorch::test_iter, test/test_torch.py::TestTorch::test_kthvalue_neg_dim, test/test_torch.py::TestTorch::test_linspace_logspace, test/test_torch.py::TestTorch::test_logcumsumexp_neg_dim, test/test_torch.py::TestTorch::test_manual_seed, test/test_torch.py::TestTorch::test_map, test/test_torch.py::TestTorch::test_map2, test/test_torch.py::TestTorch::test_max_neg_dim, test/test_torch.py::TestTorch::test_mean_neg_dim, test/test_torch.py::TestTorch::test_median_neg_dim, test/test_torch.py::TestTorch::test_memory_format, test/test_torch.py::TestTorch::test_memory_format_contiguous_returns_same_tensor_if_already_satisfies, test/test_torch.py::TestTorch::test_memory_format_empty, test/test_torch.py::TestTorch::test_min_neg_dim, test/test_torch.py::TestTorch::test_mode_neg_dim, test/test_torch.py::TestTorch::test_multinomial_invalid_probs, test/test_torch.py::TestTorch::test_nanmedian_neg_dim, test/test_torch.py::TestTorch::test_narrow_neg_dim, test/test_torch.py::TestTorch::test_nbytes, test/test_torch.py::TestTorch::test_ndim, test/test_torch.py::TestTorch::test_new, test/test_torch.py::TestTorch::test_newaxis_numpy_comparison, test/test_torch.py::TestTorch::test_newindex, test/test_torch.py::TestTorch::test_no_cuda_monkeypatch, test/test_torch.py::TestTorch::test_norm_neg_dim, test/test_torch.py::TestTorch::test_normal_shape, test/test_torch.py::TestTorch::test_numel, test/test_torch.py::TestTorch::test_parallel_info, test/test_torch.py::TestTorch::test_parsing_double, test/test_torch.py::TestTorch::test_parsing_int64, test/test_torch.py::TestTorch::test_parsing_intlist, test/test_torch.py::TestTorch::test_permute, test/test_torch.py::TestTorch::test_pickle, test/test_torch.py::TestTorch::test_pickle_dtype, test/test_torch.py::TestTorch::test_pickle_function, test/test_torch.py::TestTorch::test_pickle_generator, test/test_torch.py::TestTorch::test_pickle_parameter, test/test_torch.py::TestTorch::test_pickle_parameter_no_requires_grad, test/test_torch.py::TestTorch::test_pickle_size, test/test_torch.py::TestTorch::test_pin_memory, test/test_torch.py::TestTorch::test_print, test/test_torch.py::TestTorch::test_prod_neg_dim, test/test_torch.py::TestTorch::test_pyobj_preserved, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_renorm_neg_dim, test/test_torch.py::TestTorch::test_resizable, test/test_torch.py::TestTorch::test_reversed, test/test_torch.py::TestTorch::test_scatter_neg_dim, test/test_torch.py::TestTorch::test_select_neg_dim, test/test_torch.py::TestTorch::test_set_flush_denormal, test/test_torch.py::TestTorch::test_setting_real_imag_to_a_number, test/test_torch.py::TestTorch::test_show_config, test/test_torch.py::TestTorch::test_size_neg_dim, test/test_torch.py::TestTorch::test_size_stride, test/test_torch.py::TestTorch::test_sizeof, test/test_torch.py::TestTorch::test_slice, test/test_torch.py::TestTorch::test_slow_test, test/test_torch.py::TestTorch::test_sobolengine_bounds, test/test_torch.py::TestTorch::test_sobolengine_bounds_scrambled, test/test_torch.py::TestTorch::test_sobolengine_continuing, test/test_torch.py::TestTorch::test_sobolengine_continuing_scrambled, test/test_torch.py::TestTorch::test_sobolengine_default_dtype, test/test_torch.py::TestTorch::test_sobolengine_distribution, test/test_torch.py::TestTorch::test_sobolengine_distribution_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw, test/test_torch.py::TestTorch::test_sobolengine_draw_base2, test/test_torch.py::TestTorch::test_sobolengine_draw_base2_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw_scrambled, test/test_torch.py::TestTorch::test_sobolengine_fast_forward, test/test_torch.py::TestTorch::test_sobolengine_fast_forward_scrambled, test/test_torch.py::TestTorch::test_sobolengine_first_point, test/test_torch.py::TestTorch::test_sobolengine_high_dim, test/test_torch.py::TestTorch::test_sobolengine_raise, test/test_torch.py::TestTorch::test_sobolengine_reset, test/test_torch.py::TestTorch::test_sobolengine_reset_scrambled, test/test_torch.py::TestTorch::test_sort_neg_dim, test/test_torch.py::TestTorch::test_split_neg_dim, test/test_torch.py::TestTorch::test_split_with_sizes_copy_out, test/test_torch.py::TestTorch::test_squeeze_neg_dim, test/test_torch.py::TestTorch::test_std_neg_dim, test/test_torch.py::TestTorch::test_storage_base_init, test/test_torch.py::TestTorch::test_storage_base_new, test/test_torch.py::TestTorch::test_storage_byteswap, test/test_torch.py::TestTorch::test_storage_casts, test/test_torch.py::TestTorch::test_storage_cycle_via_dict, test/test_torch.py::TestTorch::test_storage_cycle_via_slots, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_cuda_backward_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_euclidean_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_grad_p_lt_1_no_nan_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_batch_cpu, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_math_view_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cov_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cpp_warnings_have_python_context_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cublas_config_nondeterministic_alert_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_cummin_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_discontiguous_cpu, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_replication_pad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int32, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_use_count_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_strides_propagation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_sync_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_set_errors_multigpu_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_shape_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_ternary_op_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_untyped_storage_meta_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_warn_always_caught_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_where_scalar_handcrafted_values_cpu
2025-08-26T19:50:32.7919670Z 
2025-08-26T19:50:32.7919800Z Running test_tensorexpr 1/1 ... [2025-08-26 19:50:32.759649]
2025-08-26T19:50:32.7920050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:50:32.7920750Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:50:32.759935]
2025-08-26T19:50:45.6113610Z 
2025-08-26T19:50:45.6114180Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_560ffaf25847ace1_.log
2025-08-26T19:50:45.6127780Z Running 74 items in this shard: test/test_tensorexpr.py::TestTensorExprFuser::test_add_const_rhs, test/test_tensorexpr.py::TestTensorExprFuser::test_add_sub, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_input_and_module, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_module, test/test_tensorexpr.py::TestTensorExprFuser::test_all_combos, test/test_tensorexpr.py::TestTensorExprFuser::test_alpha, test/test_tensorexpr.py::TestTensorExprFuser::test_binary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_bitwise_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast3, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_2, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_big2, test/test_tensorexpr.py::TestTensorExprFuser::test_cat, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_empty_tensors, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_negative_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_only, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_promote_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_with_constant_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_char, test/test_tensorexpr.py::TestTensorExprFuser::test_chunk, test/test_tensorexpr.py::TestTensorExprFuser::test_clamp, test/test_tensorexpr.py::TestTensorExprFuser::test_constant, test/test_tensorexpr.py::TestTensorExprFuser::test_double, test/test_tensorexpr.py::TestTensorExprFuser::test_double_intrinsics, test/test_tensorexpr.py::TestTensorExprFuser::test_dynamic_shape, test/test_tensorexpr.py::TestTensorExprFuser::test_easy, test/test_tensorexpr.py::TestTensorExprFuser::test_eq, test/test_tensorexpr.py::TestTensorExprFuser::test_exp_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_four_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_ge, test/test_tensorexpr.py::TestTensorExprFuser::test_gt, test/test_tensorexpr.py::TestTensorExprFuser::test_guard_fails, test/test_tensorexpr.py::TestTensorExprFuser::test_half_bn_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_half_gelu, test/test_tensorexpr.py::TestTensorExprFuser::test_int64_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_int_output, test/test_tensorexpr.py::TestTensorExprFuser::test_le, test/test_tensorexpr.py::TestTensorExprFuser::test_loop, test/test_tensorexpr.py::TestTensorExprFuser::test_lt, test/test_tensorexpr.py::TestTensorExprFuser::test_mask, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction2, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1_2, test/test_tensorexpr.py::TestTensorExprFuser::test_multi_rand, test/test_tensorexpr.py::TestTensorExprFuser::test_multioutput, test/test_tensorexpr.py::TestTensorExprFuser::test_multiple_outputs, test/test_tensorexpr.py::TestTensorExprFuser::test_nans, test/test_tensorexpr.py::TestTensorExprFuser::test_ne, test/test_tensorexpr.py::TestTensorExprFuser::test_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_propagated_mem_layout, test/test_tensorexpr.py::TestTensorExprFuser::test_rand_like, test/test_tensorexpr.py::TestTensorExprFuser::test_rank_two, test/test_tensorexpr.py::TestTensorExprFuser::test_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_remainder, test/test_tensorexpr.py::TestTensorExprFuser::test_reps, test/test_tensorexpr.py::TestTensorExprFuser::test_round_2, test/test_tensorexpr.py::TestTensorExprFuser::test_scalar, test/test_tensorexpr.py::TestTensorExprFuser::test_short, test/test_tensorexpr.py::TestTensorExprFuser::test_simple_add, test/test_tensorexpr.py::TestTensorExprFuser::test_sin_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_slice, test/test_tensorexpr.py::TestTensorExprFuser::test_sliced_stride, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cpu, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cuda, test/test_tensorexpr.py::TestTensorExprFuser::test_strided_output_preserved, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg2, test/test_tensorexpr.py::TestTensorExprFuser::test_transpose, test/test_tensorexpr.py::TestTensorExprFuser::test_unary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_unsqueeze, test/test_tensorexpr.py::TestTensorExprFuser::test_where
2025-08-26T19:50:45.6140310Z 
2025-08-26T19:50:45.6140440Z Running test_overrides 1/1 ... [2025-08-26 19:50:45.611801]
2025-08-26T19:50:45.6140710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:50:45.6141540Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:50:45.612092]
2025-08-26T19:50:49.2197250Z 
2025-08-26T19:50:49.2197830Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_a399ce620b4edcce_.log
2025-08-26T19:50:49.2470140Z Running 1470 items in this shard: test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_H___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_T___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__backward_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__base___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__cdata___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__post_accumulate_grad_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__version___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_data___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_device___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_dtype___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_imag___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cuda___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_ipu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_leaf___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_maia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_meta___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mkldnn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mps___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mtia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_nested___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_quantized___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse_csr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_vulkan___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xla___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_itemsize___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_layout___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mH___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mT___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_name___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_names___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_nbytes___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_ndim___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_output_nr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_real___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_requires_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_retains_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_shape___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_volatile___get__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___add__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___and__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___array__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___array_wrap__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___bool__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___complex__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___contains__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___cuda_array_interface_____get__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___deepcopy__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___div__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___dlpack__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___dlpack_device__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___eq__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___float__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___floordiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___format__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ge__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___getitem__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___gt__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___iadd__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___iand__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___idiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ifloordiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ilshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___imod__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___imul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___index__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___int__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___invert__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ior__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___irshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___isub__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ixor__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___le__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___len__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___long__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___lshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___lt__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___matmul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___mod__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__autocast_to_full_precision, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__autocast_to_reduced_precision, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__clear_non_serializable_cached_data, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__coalesced_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__dimI, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__dimV, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__is_view, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_storage_offsets, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nested_tensor_strides, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor__nnz, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addbmm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcdiv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addcmul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addmv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_addr_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_adjoint, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copysign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cos, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cos_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cov, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cross, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_crow_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cuda, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_data_ptr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dense_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_det, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diff, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim_order, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_double, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_element_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erf_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfinv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exponential_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_diagonal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flip, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float_power_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gather, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_geometric_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ger, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_half, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_has_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hash_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_requires_grad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_sparse_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_retain_grad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_roll, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_row_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_untyped_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_values, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_var, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_where, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_zero_, test/test_overrides.py::TestTorchFunctionOverride::test_base, test/test_overrides.py::TestTorchFunctionOverride::test_dtype_override, test/test_overrides.py::TestTorchFunctionOverride::test_grad, test/test_overrides.py::TestTorchFunctionOverride::test_has_torch_function_non_sequence, test/test_overrides.py::TestTorchFunctionOverride::test_mean_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_mm_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_pow_rpow, test/test_overrides.py::TestTorchFunctionOverride::test_precedence_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_tensor_subclass_propagation, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cond, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eig, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigvals, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigvalsh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_householder_product, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_inv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_inv_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_factor, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_factor_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lstsq, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu_factor, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu_factor_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matmul, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__native_batch_norm_legit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__neg_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__reshape_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__rowwise_prune, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sparse_broadcast_to_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unravel_index, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fused_moving_avg_obs_fake_quant, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gather, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ge, test/test_overrides.py::TestTorchFunctionOverride::test_torch_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ger, test/test_overrides.py::TestTorchFunctionOverride::test_torch_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gradient, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_istft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kron, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_torch_layer_norm, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_unpack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_median, test/test_overrides.py::TestTorchFunctionOverride::test_torch_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_add_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_depthwise_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_rnn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mode, test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_kaiming_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_torch_norm_except_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nuclear_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_numel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ones_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_outer, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rand_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randint_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randn_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_smm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_square, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_topk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trace, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapz, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tril, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unflatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unfold_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_where, test/test_overrides.py::TestTorchFunctionOverride::test_torch_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_zeros_like, test/test_overrides.py::TestTorchFunctionOverride::test_user_implementation_raises, test/test_overrides.py::TestEinsumOverride::test_wrapper, test/test_overrides.py::TestGradCheckOverride::test_gradcheck, test/test_overrides.py::TestNamedTuple::test_max, test/test_overrides.py::TestGradNewOnesOverride::test_newones, test/test_overrides.py::TestPickle::test_pickle, test/test_overrides.py::TestBroadcastAllOverride::test_broadcast_all, test/test_overrides.py::TestWrapTorchFunction::test_wrap_torch_function, test/test_overrides.py::TestIndexing::test_getitem, test/test_overrides.py::TestIndexing::test_getitem_subclass, test/test_overrides.py::TestIndexing::test_setitem, test/test_overrides.py::TestIndexing::test_setitem_subclass, test/test_overrides.py::TestIndexing::test_setitem_val, test/test_overrides.py::TestIterator::test_iterator, test/test_overrides.py::TestRNN::test_rnn, test/test_overrides.py::TestDisabledTorchFunction::test_parameter_does_not_prevent_dispatch, test/test_overrides.py::TestResolveName::test_resolve_name, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_tensor_subclass, test/test_overrides.py::TestDisabledUserWarnings::test_no_implicit_user_warning_for_deprecated_functions, test/test_overrides.py::TestTorchFunctionMode::test_all_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_basic, test/test_overrides.py::TestTorchFunctionMode::test_custom_device_type, test/test_overrides.py::TestTorchFunctionMode::test_device_context_semantics, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_mode, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_not_mode, test/test_overrides.py::TestTorchFunctionMode::test_distributions_bernoulli, test/test_overrides.py::TestTorchFunctionMode::test_error_using_class_method_on_mode, test/test_overrides.py::TestTorchFunctionMode::test_factory_override, test/test_overrides.py::TestTorchFunctionMode::test_get_cur_mode, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented, test/test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function, test/test_overrides.py::TestTorchFunctionMode::test_nested_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_nn_parse_to, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor, test/test_overrides.py::TestTorchFunctionMode::test_subclass_hash, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_with_mode, test/test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately, test/test_overrides.py::TestTorchFunctionMode::test_with_nested_modes
2025-08-26T19:50:49.2733830Z 
2025-08-26T19:50:49.2733990Z Running test_namedtuple_return_api 1/1 ... [2025-08-26 19:50:49.221778]
2025-08-26T19:50:49.2734260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:50:49.2734990Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:50:49.222063]
2025-08-26T19:50:51.7386260Z 
2025-08-26T19:50:51.7386950Z test_namedtuple_return_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtuple_return_api_1.1_95f30df120dcd17c_.log
2025-08-26T19:50:51.7388380Z Running 3 items in this shard: test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_import_return_types, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_namedtuple_return, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_native_functions_yaml
2025-08-26T19:50:51.7389270Z 
2025-08-26T19:50:51.7391410Z Running test_multiprocessing 1/1 ... [2025-08-26 19:50:51.739071]
2025-08-26T19:50:51.7391740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:50:51.7395300Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:50:51.739408]
2025-08-26T19:53:57.5323150Z 
2025-08-26T19:53:57.5323650Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_ab463ff5d1f8377c_.log
2025-08-26T19:53:57.5334260Z Running 42 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_autograd_errors, test/test_multiprocessing.py::TestMultiprocessing::test_autograd_fine_with_spawn, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_bad_call, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_ipc_deadlock, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_memory_allocation, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_send_many, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_small_tensors, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_shared, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_event, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_exporter, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_importer, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_multi_gpu, test/test_multiprocessing.py::TestMultiprocessing::test_event_multiprocess, test/test_multiprocessing.py::TestMultiprocessing::test_fd_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fd_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fd_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs, test/test_multiprocessing.py::TestMultiprocessing::test_fs_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_fs_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fs_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_inherit_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cpu, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_mixed_types_cuda_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_non_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_rebuild_cuda_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_set_thread_name, test/test_multiprocessing.py::TestMultiprocessing::test_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_wrong_cuda_fork
2025-08-26T19:53:57.5344310Z 
2025-08-26T19:53:57.5344480Z Running test_autograd_fallback 1/1 ... [2025-08-26 19:53:57.532777]
2025-08-26T19:53:57.5344810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:53:57.5345750Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:53:57.533093]
2025-08-26T19:53:59.4756320Z 
2025-08-26T19:53:59.4756980Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_0cb8c091d796fbec_.log
2025-08-26T19:53:59.4766420Z Running 28 items in this shard: test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_warn
2025-08-26T19:53:59.4773540Z 
2025-08-26T19:53:59.4773680Z Running test_reductions 1/1 ... [2025-08-26 19:53:59.475964]
2025-08-26T19:53:59.4773930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:53:59.4774670Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:53:59.476246]
2025-08-26T19:55:23.3544380Z 
2025-08-26T19:55:23.3545110Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_987c053b715425fe_.log
2025-08-26T19:55:23.4542780Z Running 4673 items in this shard: test/test_reductions.py::TestReductionsCPU::test_accreal_type_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_all_any_with_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_all_issue117215_cpu, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_amin_amax_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float32, 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test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float64
2025-08-26T19:55:23.6200110Z 
2025-08-26T19:55:23.6200270Z Running test_fake_tensor 1/1 ... [2025-08-26 19:55:23.359225]
2025-08-26T19:55:23.6200530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:55:23.6201260Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:55:23.359568]
2025-08-26T19:55:28.2934450Z 
2025-08-26T19:55:28.2935020Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_9bc055c504236dc7_.log
2025-08-26T19:55:28.3013310Z Running 290 items in this shard: test/test_fake_tensor.py::FakeTensorTest::test__adaptive_avg_pool2d_backward, test/test_fake_tensor.py::FakeTensorTest::test_alias_call, test/test_fake_tensor.py::FakeTensorTest::test_allow_meta, test/test_fake_tensor.py::FakeTensorTest::test_aten_copy_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_index_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_slice_scatter_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_basic, test/test_fake_tensor.py::FakeTensorTest::test_batch_tensor, test/test_fake_tensor.py::FakeTensorTest::test_binary_op_type_promotion, test/test_fake_tensor.py::FakeTensorTest::test_constructor, test/test_fake_tensor.py::FakeTensorTest::test_convert_fake_to_real, test/test_fake_tensor.py::FakeTensorTest::test_cpu_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cuda_initialized, test/test_fake_tensor.py::FakeTensorTest::test_cuda_lstm, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_with_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_without_fallback, test/test_fake_tensor.py::FakeTensorTest::test_custom_op_fallback, test/test_fake_tensor.py::FakeTensorTest::test_data_dependent_operator, test/test_fake_tensor.py::FakeTensorTest::test_deepcopy, test/test_fake_tensor.py::FakeTensorTest::test_device_inplace_copy, test/test_fake_tensor.py::FakeTensorTest::test_embedding_bag_meta, test/test_fake_tensor.py::FakeTensorTest::test_export_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fake_device, test/test_fake_tensor.py::FakeTensorTest::test_fake_dispatch_keys, test/test_fake_tensor.py::FakeTensorTest::test_fake_grad_copy, test/test_fake_tensor.py::FakeTensorTest::test_fake_mode_error, test/test_fake_tensor.py::FakeTensorTest::test_fast_div, test/test_fake_tensor.py::FakeTensorTest::test_from_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fsdp_flat_param, test/test_fake_tensor.py::FakeTensorTest::test_full, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex128, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int16, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int8, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_uint8, test/test_fake_tensor.py::FakeTensorTest::test_index_put_error, test/test_fake_tensor.py::FakeTensorTest::test_jagged_fake_to_fake_preserved, test/test_fake_tensor.py::FakeTensorTest::test_like_constructor, test/test_fake_tensor.py::FakeTensorTest::test_mixed_real_and_fake_inputs, test/test_fake_tensor.py::FakeTensorTest::test_mode, test/test_fake_tensor.py::FakeTensorTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorTest::test_nanmean_out, test/test_fake_tensor.py::FakeTensorTest::test_new, test/test_fake_tensor.py::FakeTensorTest::test_no_tag_func, test/test_fake_tensor.py::FakeTensorTest::test_non_kwarg_device, test/test_fake_tensor.py::FakeTensorTest::test_non_overlapping_stride_zero, test/test_fake_tensor.py::FakeTensorTest::test_non_parameter_grad, test/test_fake_tensor.py::FakeTensorTest::test_normalize_device, test/test_fake_tensor.py::FakeTensorTest::test_op_with_zero_dim_bypassed, test/test_fake_tensor.py::FakeTensorTest::test_out_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_parameter_instantiation, test/test_fake_tensor.py::FakeTensorTest::test_parameter_view, test/test_fake_tensor.py::FakeTensorTest::test_print_in_fake_mode, test/test_fake_tensor.py::FakeTensorTest::test_randperm, test/test_fake_tensor.py::FakeTensorTest::test_recursive_invocation, test/test_fake_tensor.py::FakeTensorTest::test_repr, test/test_fake_tensor.py::FakeTensorTest::test_same_shape_env_preserved, test/test_fake_tensor.py::FakeTensorTest::test_scalar_inputs, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_False, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_True, test/test_fake_tensor.py::FakeTensorTest::test_setitem, test/test_fake_tensor.py::FakeTensorTest::test_shape_take_not_device, test/test_fake_tensor.py::FakeTensorTest::test_split_return_self, test/test_fake_tensor.py::FakeTensorTest::test_throw, test/test_fake_tensor.py::FakeTensorTest::test_tolist, test/test_fake_tensor.py::FakeTensorTest::test_type_as, test/test_fake_tensor.py::FakeTensorTest::test_unbind_copy_out, test/test_fake_tensor.py::FakeTensorTest::test_unsqueeze_copy, test/test_fake_tensor.py::FakeTensorTest::test_upsample_bilinear_small_channels, test/test_fake_tensor.py::FakeTensorTest::test_zero_dim, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test__adaptive_avg_pool2d_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_alias_call_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_allow_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_copy_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_index_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_slice_scatter_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_basic_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_batch_tensor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_binary_op_type_promotion_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_convert_fake_to_real_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cpu_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_initialized_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_lstm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_with_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_without_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_custom_op_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_data_dependent_operator_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_deepcopy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_device_inplace_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_embedding_bag_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_export_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_dispatch_keys_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_grad_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fast_div_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_from_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fsdp_flat_param_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_full_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex128_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int16_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_uint8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_put_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_jagged_fake_to_fake_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_like_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mixed_real_and_fake_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nanmean_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_no_tag_func_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_overlapping_stride_zero_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_parameter_grad_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_normalize_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_op_with_zero_dim_bypassed_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_out_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_instantiation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_print_in_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_randperm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_recursive_invocation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_repr_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_same_shape_env_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scalar_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_False_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_True_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_setitem_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_shape_take_not_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_split_return_self_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_throw_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_tolist_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_type_as_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unbind_copy_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unsqueeze_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_upsample_bilinear_small_channels_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_zero_dim_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorConstHandling::test_aliased_const_write, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_propagate_through_functions, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_batch_norm_cpu, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_in_intlist_repro, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_add, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_view_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storage_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storages, test/test_fake_tensor.py::FakeTensorConstHandling::test_simple, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_aliased_const_write_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_propagate_through_functions_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_batch_norm_cpu_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_in_intlist_repro_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_add_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_view_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storage_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storages_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_simple_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_key, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_weak_ref, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_from_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_to_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_multiple_modes, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_active_mode, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_ref_cycle, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_mode_error, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_non_view, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_view, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_key_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_weak_ref_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_from_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_to_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_multiple_modes_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_active_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_ref_cycle_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_non_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_view_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_conv_c1_backward, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_cross_entropy_loss, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_embedding_bag_private, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_fake_gpu_no_init, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_flash_attention, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_like_ops, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_no_dispatch_with_like_function, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_non_kwarg_only_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_sparse_new, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_str_storage, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_new, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_conv_c1_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_cross_entropy_loss_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_embedding_bag_private_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_fake_gpu_no_init_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_flash_attention_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_like_ops_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_module_to_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_no_dispatch_with_like_function_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_non_kwarg_only_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_sparse_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_str_storage_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_new_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args, test/test_fake_tensor.py::FakeTensorPropTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorPropTest::test_nonzero_stride, test/test_fake_tensor.py::FakeTensorPropTest::test_torch_load_with_fake_mode, test/test_fake_tensor.py::FakeTensorPropTest::test_unbacked_shape_realloc, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nonzero_stride_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_torch_load_with_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_unbacked_shape_realloc_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization_with_tracing, test/test_fake_tensor.py::FakeTensorDispatchCache::test__upsample_bilinear2d_aa_backward_dynamic_shapes, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_aten_index, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_bypass, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_dispatch_key_set, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_hit, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_inplace_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_constants, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_conj, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_inference, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_neg, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_memory_format, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_requires_grad, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_shape, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_storage_offset, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_stride, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_tuple_outputs, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_view_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_fft_hfft2_issue145522, test/test_fake_tensor.py::FakeTensorDispatchCache::test_from_buffer, test/test_fake_tensor.py::FakeTensorDispatchCache::test_inference_mode, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph_cacheable_inplace, test/test_fake_tensor.py::FakeTensorDispatchCache::test_meta_tensor_to_fake_cpu, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorDispatchCache::test_unbacked_output, test/test_fake_tensor.py::FakeTensorDispatchCache::test_wrapper_tensor_subclass_different_device, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type_cpu_only
2025-08-26T19:55:28.3083820Z 
2025-08-26T19:55:28.3083960Z Running test_python_dispatch 1/1 ... [2025-08-26 19:55:28.294094]
2025-08-26T19:55:28.3084220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:55:28.3084950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:55:28.294412]
2025-08-26T19:55:34.1811040Z 
2025-08-26T19:55:34.1811610Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_8feefaffcfa01ec2_.log
2025-08-26T19:55:34.1840150Z Running 118 items in this shard: test/test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed, test/test_python_dispatch.py::TestPythonRegistration::test_alias_analysis, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_eq, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_pickle, test/test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind, test/test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable, test/test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg, test/test_python_dispatch.py::TestPythonRegistration::test_fallback, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset, test/test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls, test/test_python_dispatch.py::TestPythonRegistration::test_finalizer, test/test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries, test/test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum, test/test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator, test/test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint, test/test_python_dispatch.py::TestPythonDispatch::test_all_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr, test/test_python_dispatch.py::TestPythonDispatch::test_basic, test/test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor, test/test_python_dispatch.py::TestPythonDispatch::test_custom_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_not_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_size_policy_dynamic_shapes, test/test_python_dispatch.py::TestPythonDispatch::test_data_ptr_respects_numel_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_non_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass_with_clone_returning_different_type, test/test_python_dispatch.py::TestPythonDispatch::test_detach_appears_twice_when_called_once, test/test_python_dispatch.py::TestPythonDispatch::test_device_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dim_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call_list_arg, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_dont_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_uint64, test/test_python_dispatch.py::TestPythonDispatch::test_error_using_class_method_on_mode, test/test_python_dispatch.py::TestPythonDispatch::test_exception_handling, test/test_python_dispatch.py::TestPythonDispatch::test_fancy_strides, test/test_python_dispatch.py::TestPythonDispatch::test_format, test/test_python_dispatch.py::TestPythonDispatch::test_get_cur_mode, test/test_python_dispatch.py::TestPythonDispatch::test_get_mode_stack, test/test_python_dispatch.py::TestPythonDispatch::test_index_put_where_only_index_is_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_invalid_ret, test/test_python_dispatch.py::TestPythonDispatch::test_is_contiguous_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only_and_positional_default, test/test_python_dispatch.py::TestPythonDispatch::test_layout_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_like, test/test_python_dispatch.py::TestPythonDispatch::test_list_ret, test/test_python_dispatch.py::TestPythonDispatch::test_make_fx_with_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_make_subclass_with_modes, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_noalloc, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_propagates_metadata, test/test_python_dispatch.py::TestPythonDispatch::test_maybe_tuple_bug, test/test_python_dispatch.py::TestPythonDispatch::test_mode_detection, test/test_python_dispatch.py::TestPythonDispatch::test_mode_with_make_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_multiple_ops_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_nested_push_logging_tensor_mode, test/test_python_dispatch.py::TestPythonDispatch::test_nesting_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_new_ones, test/test_python_dispatch.py::TestPythonDispatch::test_none_wrapping, test/test_python_dispatch.py::TestPythonDispatch::test_notimplemented_mode, test/test_python_dispatch.py::TestPythonDispatch::test_optional_tensor_list, test/test_python_dispatch.py::TestPythonDispatch::test_out, test/test_python_dispatch.py::TestPythonDispatch::test_produce_real_type, test/test_python_dispatch.py::TestPythonDispatch::test_record_stream, test/test_python_dispatch.py::TestPythonDispatch::test_return_and_correct_aliasing_gives_correct_stride, test/test_python_dispatch.py::TestPythonDispatch::test_return_stream, test/test_python_dispatch.py::TestPythonDispatch::test_set_data, test/test_python_dispatch.py::TestPythonDispatch::test_shallow_copy_and_detach, test/test_python_dispatch.py::TestPythonDispatch::test_sizes_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_standard_is_not_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_storage, test/test_python_dispatch.py::TestPythonDispatch::test_storage_can_be_converted_to_python_object, test/test_python_dispatch.py::TestPythonDispatch::test_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_creation, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_sym_sizes_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_tolist_numpy_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_basic, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_respects_no_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_unrelated_tensors, test/test_python_dispatch.py::TestPythonDispatch::test_version, test/test_python_dispatch.py::TestPythonDispatch::test_view_returns_alias_under_torch_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_with_mode_created_separately, test/test_python_dispatch.py::TestPythonDispatch::test_with_nested_modes, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_extra_dispatch_keys, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_multiprocessing_preserves_dtype, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_reentrant_dispatch_with_mode, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_serializes, test/test_python_dispatch.py::TestPythonDispatcher::test_basic, test/test_python_dispatch.py::TestPythonDispatcher::test_lstsq, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_cat_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_conv2d_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_fft_fft2_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_mul_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_native_batch_norm_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_out_op_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_list_args_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_view_cpu_float32
2025-08-26T19:55:34.1867870Z 
2025-08-26T19:55:34.1867990Z Running test_autocast 1/1 ... [2025-08-26 19:55:34.181555]
2025-08-26T19:55:34.1868320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:55:34.1869100Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:55:34.181843]
2025-08-26T19:55:36.5610710Z 
2025-08-26T19:55:36.5611290Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_23803fe4d7c4f8f4_.log
2025-08-26T19:55:36.5615140Z Running 20 items in this shard: test/test_autocast.py::TestAutocastCPU::test_autocast_disabled_with_fp32_dtype, test/test_autocast.py::TestAutocastCPU::test_autocast_methods_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_16, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_rnn, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_16, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_need_autocast_promote, test/test_autocast.py::TestAutocastCPU::test_cpu_autocast_deprecated_warning, test/test_autocast.py::TestAutocastCPU::test_generic_autocast, test/test_autocast.py::TestAutocastGPU::test_autocast_prioritize, test/test_autocast.py::TestAutocastGPU::test_cache_disabled, test/test_autocast.py::TestAutocastGPU::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_bfloat16_supported, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_error_message, test/test_autocast.py::TestTorchAutocast::test_autocast_fast_dtype, test/test_autocast.py::TestTorchAutocast::test_invalid_device, test/test_autocast.py::TestTorchAutocast::test_non_string_device
2025-08-26T19:55:36.5618730Z 
2025-08-26T19:55:36.5618850Z Running test_jit_disabled 1/1 ... [2025-08-26 19:55:36.561435]
2025-08-26T19:55:36.5619090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:55:36.5619810Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:55:36.561710]
2025-08-26T19:55:38.6202110Z 
2025-08-26T19:55:38.6202730Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_c402bf14adb20efe_.log
2025-08-26T19:55:38.6203910Z Running 3 items in this shard: test/test_jit_disabled.py::TestJitDisabled::test_attribute, test/test_jit_disabled.py::TestJitDisabled::test_recursive_script, test/test_jit_disabled.py::TestJitDisabled::test_script_module_construction
2025-08-26T19:55:38.6204690Z 
2025-08-26T19:55:38.6207340Z Running test_tensor_creation_ops 1/1 ... [2025-08-26 19:55:38.620654]
2025-08-26T19:55:38.6207700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:55:38.6211300Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:55:38.621006]
2025-08-26T19:55:49.2180030Z 
2025-08-26T19:55:49.2180770Z test_tensor_creation_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensor_creation_ops_1.1_902445b20ae9635f_.log
2025-08-26T19:55:49.2347600Z Running 641 items in this shard: test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_strided_neg_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_scipy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cartesian_prod_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_big_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_in_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_memory_format_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_preserve_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_stack_cross_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_combinations_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_complex_type_conversions_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_concat_empty_list_error_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_device_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_dtypes_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ctor_with_numpy_array_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diag_embed_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diagflat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_full_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_overflow_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_tensor_props_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_eye_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_fill_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_False_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_True_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_like_fn_stride_proparation_vs_tensoriterator_unary_op_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linlogspace_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_default_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_is_default_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_dtype_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_non_1d_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_unsupported_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_vs_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_warns_if_no_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_xy_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_methods_requires_grad_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_offset_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ones_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_factories_64bit_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_warning_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_repeat_interleave_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_roll_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_simple_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_storage_filename_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_strided_mismatched_stride_shape_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_ctor_device_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factories_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_copy_var_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_non_writable_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_sequence_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_out_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_std_error_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_distribution_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_inference_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_random_neg_values_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_device_compatibility_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_large_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_empty_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_full_like_inference_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_byte_to_int_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_astensor_consistency_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_default_device_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_device_without_index_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_numpy_scalars_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_mult_devices_cpu_float32
2025-08-26T19:55:49.2481890Z 
2025-08-26T19:55:49.2482070Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-08-26 19:55:49.219955]
2025-08-26T19:55:49.2482360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:55:49.2483200Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:55:49.220303]
2025-08-26T19:55:51.0003280Z 
2025-08-26T19:55:51.0003960Z test_cpp_extensions_mtia_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_mtia_backend_1.1_aabd80c6b1236eca_.log
2025-08-26T19:55:51.0005990Z Running 5 items in this shard: test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_device_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_get_device_module, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_basic, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context_different_device
2025-08-26T19:55:51.0007550Z 
2025-08-26T19:55:51.0008140Z Running test_nn 1/1 ... [2025-08-26 19:55:51.000766]
2025-08-26T19:55:51.0008410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:55:51.0011860Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:55:51.001082]
2025-08-26T19:57:49.2893950Z 
2025-08-26T19:57:49.2894420Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_22bae4800fe68f55_.log
2025-08-26T19:57:49.4088330Z Running 3434 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_reduce, test/test_nn.py::TestNN::test_BCELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_CELU_no_batch_dim, test/test_nn.py::TestNN::test_CELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_CTCLoss_critical_target_len, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cpu, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cuda, test/test_nn.py::TestNN::test_CTCLoss_long_targets, test/test_nn.py::TestNN::test_CTCLoss_typechecks, test/test_nn.py::TestNN::test_CTCLoss_zero_infinity, test/test_nn.py::TestNN::test_CTCLoss_zero_lengths, test/test_nn.py::TestNN::test_Conv1d, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_cuda, test/test_nn.py::TestNN::test_Conv1d_dilated, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_groups_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same, test/test_nn.py::TestNN::test_Conv1d_pad_same2, test/test_nn.py::TestNN::test_Conv1d_pad_same2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_valid, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_stride, test/test_nn.py::TestNN::test_Conv1d_stride_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_valid, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv2d_padding, test/test_nn.py::TestNN::test_Conv2d_padding_cuda, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_strided, test/test_nn.py::TestNN::test_Conv2d_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_valid, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_stride, test/test_nn.py::TestNN::test_Conv3d_stride_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_CrossMapLRN2d, test/test_nn.py::TestNN::test_CrossMapLRN2d_cuda, test/test_nn.py::TestNN::test_ELU_no_batch_dim, test/test_nn.py::TestNN::test_ELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Embedding, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max, test/test_nn.py::TestNN::test_EmbeddingBag_max_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean, test/test_nn.py::TestNN::test_EmbeddingBag_mean_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse, test/test_nn.py::TestNN::test_EmbeddingBag_sparse_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum, test/test_nn.py::TestNN::test_EmbeddingBag_sum_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx_cuda, test/test_nn.py::TestNN::test_Embedding_cuda, test/test_nn.py::TestNN::test_Embedding_discontiguous, test/test_nn.py::TestNN::test_Embedding_discontiguous_cuda, test/test_nn.py::TestNN::test_Embedding_sparse, test/test_nn.py::TestNN::test_Embedding_sparse_cuda, test/test_nn.py::TestNN::test_Flatten, test/test_nn.py::TestNN::test_Flatten_cuda, test/test_nn.py::TestNN::test_Flatten_no_batch_dim, test/test_nn.py::TestNN::test_Flatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Fold, test/test_nn.py::TestNN::test_Fold_cuda, test/test_nn.py::TestNN::test_Fold_int_input, test/test_nn.py::TestNN::test_Fold_int_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input_cuda, test/test_nn.py::TestNN::test_GELU_no_batch_dim, test/test_nn.py::TestNN::test_GELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_GLU_no_batch_dim, test/test_nn.py::TestNN::test_GLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_HuberLoss_delta, test/test_nn.py::TestNN::test_HuberLoss_delta_cuda, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_LSTM_cell, test/test_nn.py::TestNN::test_LSTM_cell_forward_hidden_size, test/test_nn.py::TestNN::test_LSTM_cell_forward_input_size, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_cuda, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval_cuda, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear, test/test_nn.py::TestNN::test_Linear_cuda, test/test_nn.py::TestNN::test_Linear_no_batch_dim, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear_no_bias, test/test_nn.py::TestNN::test_Linear_no_bias_cuda, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_reduce, test/test_nn.py::TestNN::test_MSELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MaxUnpool1d_net, test/test_nn.py::TestNN::test_MaxUnpool1d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net, test/test_nn.py::TestNN::test_MaxUnpool2d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net, test/test_nn.py::TestNN::test_MaxUnpool3d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Mish_no_batch_dim, test/test_nn.py::TestNN::test_Mish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ModuleDict, test/test_nn.py::TestNN::test_ModuleList, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_reduce, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_nn.py::TestNN::test_PReLU_backward_requires_grad_false, test/test_nn.py::TestNN::test_PReLU_no_batch_dim, test/test_nn.py::TestNN::test_PReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args_cuda, test/test_nn.py::TestNN::test_ParameterDict, test/test_nn.py::TestNN::test_ParameterDict_replication, test/test_nn.py::TestNN::test_ParameterList, test/test_nn.py::TestNN::test_ParameterList_meta, test/test_nn.py::TestNN::test_ParameterList_replication, test/test_nn.py::TestNN::test_PixelShuffle, test/test_nn.py::TestNN::test_PixelShuffle_cuda, test/test_nn.py::TestNN::test_PixelUnshuffle, test/test_nn.py::TestNN::test_PixelUnshuffle_cuda, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_RNN_cell, test/test_nn.py::TestNN::test_RNN_cell_forward_zero_hidden_size, test/test_nn.py::TestNN::test_RNN_cell_no_broadcasting, test/test_nn.py::TestNN::test_RNN_change_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_no_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_with_dropout, test/test_nn.py::TestNN::test_RNN_cudnn_weight_norm, test/test_nn.py::TestNN::test_RNN_dropout, test/test_nn.py::TestNN::test_RNN_dropout_state, test/test_nn.py::TestNN::test_RNN_input_size_zero, test/test_nn.py::TestNN::test_RNN_nonlinearity, test/test_nn.py::TestNN::test_RNN_nonlinearity_passed_as_arg, test/test_nn.py::TestNN::test_RReLU, test/test_nn.py::TestNN::test_RReLU_cuda, test/test_nn.py::TestNN::test_RReLU_no_batch_dim, test/test_nn.py::TestNN::test_RReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down, test/test_nn.py::TestNN::test_RReLU_with_up_down_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar_cuda, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReLU_no_batch_dim, test/test_nn.py::TestNN::test_ReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d, test/test_nn.py::TestNN::test_ReplicationPad3d_complex, test/test_nn.py::TestNN::test_ReplicationPad3d_complex_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SELU_no_batch_dim, test/test_nn.py::TestNN::test_SELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sequential_add, test/test_nn.py::TestNN::test_Sequential_append, test/test_nn.py::TestNN::test_Sequential_delitem, test/test_nn.py::TestNN::test_Sequential_extend, test/test_nn.py::TestNN::test_Sequential_getitem, test/test_nn.py::TestNN::test_Sequential_iadd, test/test_nn.py::TestNN::test_Sequential_imul, test/test_nn.py::TestNN::test_Sequential_insert, test/test_nn.py::TestNN::test_Sequential_insert_fail_case, test/test_nn.py::TestNN::test_Sequential_mul, test/test_nn.py::TestNN::test_Sequential_pop, test/test_nn.py::TestNN::test_Sequential_rmul, test/test_nn.py::TestNN::test_Sequential_setitem, test/test_nn.py::TestNN::test_Sequential_setitem_named, test/test_nn.py::TestNN::test_SiLU_no_batch_dim, test/test_nn.py::TestNN::test_SiLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_beta_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta_cuda, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_Softplus_no_batch_dim, test/test_nn.py::TestNN::test_Softplus_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softsign_no_batch_dim, test/test_nn.py::TestNN::test_Softsign_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanh_no_batch_dim, test/test_nn.py::TestNN::test_Tanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Threshold_no_batch_dim, test/test_nn.py::TestNN::test_Threshold_no_batch_dim_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_Transformer_cell, test/test_nn.py::TestNN::test_Transformer_multilayer_coder, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Unfold, test/test_nn.py::TestNN::test_Unfold_cuda, test/test_nn.py::TestNN::test_Unfold_int_input, test/test_nn.py::TestNN::test_Unfold_int_input_cuda, test/test_nn.py::TestNN::test_adaptive_log_softmax, test/test_nn.py::TestNN::test_add_module, test/test_nn.py::TestNN::test_add_module_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_affine_grid, test/test_nn.py::TestNN::test_affine_grid_3d, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_2, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_3, test/test_nn.py::TestNN::test_affine_grid_error_checking, test/test_nn.py::TestNN::test_assignment, test/test_nn.py::TestNN::test_batch_norm_update_stats, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_buffer_update_when_stats_are_not_tracked, test/test_nn.py::TestNN::test_batchnorm_cudnn_half, test/test_nn.py::TestNN::test_batchnorm_cudnn_nhwc, test/test_nn.py::TestNN::test_batchnorm_half_overflow, test/test_nn.py::TestNN::test_batchnorm_load_state_dict, test/test_nn.py::TestNN::test_batchnorm_nhwc_cpu, test/test_nn.py::TestNN::test_batchnorm_nhwc_cuda, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_BatchNorm2d, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_SyncBatchNorm, test/test_nn.py::TestNN::test_batchnorm_nonaffine_cuda_half_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_bias_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_less_than_one_value_per_channel, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_weight_is_not_same_size_as_input, test/test_nn.py::TestNN::test_bce_loss_always_nonnegative, test/test_nn.py::TestNN::test_bce_loss_broadcasts_weights, test/test_nn.py::TestNN::test_bce_loss_input_range, test/test_nn.py::TestNN::test_bce_loss_size_mismatch, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_pos_weights, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_weights, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_forward_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none, test/test_nn.py::TestNN::test_bce_with_logits_raises_if_target_and_input_are_different_size, test/test_nn.py::TestNN::test_bce_with_logits_stability, test/test_nn.py::TestNN::test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bilinear, test/test_nn.py::TestNN::test_bilinear_broadcasting, test/test_nn.py::TestNN::test_bilinear_no_bias, test/test_nn.py::TestNN::test_bilinear_non_contiguous, test/test_nn.py::TestNN::test_bilinear_value_error, test/test_nn.py::TestNN::test_broadcast_double_backwards_gpu, test/test_nn.py::TestNN::test_broadcast_no_grad, test/test_nn.py::TestNN::test_broadcast_not_requiring_grad, test/test_nn.py::TestNN::test_buffer_bad_module_subclass, test/test_nn.py::TestNN::test_buffer_not_persistent, test/test_nn.py::TestNN::test_buffer_not_persistent_assign, test/test_nn.py::TestNN::test_buffer_not_persistent_del, test/test_nn.py::TestNN::test_buffer_not_persistent_load, test/test_nn.py::TestNN::test_buffer_not_persistent_overwrite, test/test_nn.py::TestNN::test_buffers_and_named_buffers, test/test_nn.py::TestNN::test_call_supports_python_dict_output, test/test_nn.py::TestNN::test_channel_shuffle_input_checks, test/test_nn.py::TestNN::test_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_children, test/test_nn.py::TestNN::test_container_copy, test/test_nn.py::TestNN::test_convert_sync_batchnorm, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_diff_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_nonexpandable_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_invalid_shape, test/test_nn.py::TestNN::test_cosine_embedding_loss_margin_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_with_diff_type, test/test_nn.py::TestNN::test_cosine_similarity, test/test_nn.py::TestNN::test_cross_entropy_loss, test/test_nn.py::TestNN::test_cross_entropy_loss_precision, test/test_nn.py::TestNN::test_cross_entropy_loss_zero_div, test/test_nn.py::TestNN::test_cudnn_forward_exception, test/test_nn.py::TestNN::test_cudnn_rnn_dropout_states_device, test/test_nn.py::TestNN::test_cudnn_weight_format, test/test_nn.py::TestNN::test_cudnn_weight_tying, test/test_nn.py::TestNN::test_dir, test/test_nn.py::TestNN::test_dir_digit, test/test_nn.py::TestNN::test_elu_inplace_gradgrad, test/test_nn.py::TestNN::test_elu_inplace_on_view, test/test_nn.py::TestNN::test_error_RNN_seq_len_zero, test/test_nn.py::TestNN::test_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_get_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_set_extra_state, test/test_nn.py::TestNN::test_extra_state_non_dict, test/test_nn.py::TestNN::test_fb_fc_packed, test/test_nn.py::TestNN::test_flatten, test/test_nn.py::TestNN::test_fold_invalid_arg, test/test_nn.py::TestNN::test_fractional_max_pool2d_invalid_output_ratio, test/test_nn.py::TestNN::test_gaussian_nll_loss_args, test/test_nn.py::TestNN::test_gaussian_nll_loss_broadcasting, test/test_nn.py::TestNN::test_gaussian_nll_loss_scalar_var, test/test_nn.py::TestNN::test_get_buffer, test/test_nn.py::TestNN::test_get_buffer_from_submodules, test/test_nn.py::TestNN::test_getattr_with_property, test/test_nn.py::TestNN::test_grid_sample, test/test_nn.py::TestNN::test_grid_sample_3d, test/test_nn.py::TestNN::test_grid_sample_error_checking, test/test_nn.py::TestNN::test_grid_sample_nearest_neighbor_rounding_mode_consistency, test/test_nn.py::TestNN::test_hardtanh_backward, test/test_nn.py::TestNN::test_hardtanh_inplace_gradgrad, test/test_nn.py::TestNN::test_huber_loss_invalid_delta, test/test_nn.py::TestNN::test_inplace_thnn, test/test_nn.py::TestNN::test_interpolate, test/test_nn.py::TestNN::test_interpolate_bicubic_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_buffer_overflow, test/test_nn.py::TestNN::test_interpolate_illegal_memory_access, test/test_nn.py::TestNN::test_interpolate_linear_1d, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d, test/test_nn.py::TestNN::test_interpolate_nearest_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d, test/test_nn.py::TestNN::test_interpolate_nearest_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d, test/test_nn.py::TestNN::test_interpolate_nearest_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_undefined_behavior_casting, test/test_nn.py::TestNN::test_kl_div_log_softmax_target, test/test_nn.py::TestNN::test_kl_div_with_diff_type, test/test_nn.py::TestNN::test_kl_div_with_diff_type_log_target, test/test_nn.py::TestNN::test_l1_loss_correct, test/test_nn.py::TestNN::test_layer_norm_backwards_eps, test/test_nn.py::TestNN::test_layer_norm_eps, test/test_nn.py::TestNN::test_layer_norm_grads_with_create_graph_flag, test/test_nn.py::TestNN::test_layer_norm_large_tensor, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightStrided, test/test_nn.py::TestNN::test_linear_broadcasting, test/test_nn.py::TestNN::test_linear_raise_on_scalar_input, test/test_nn.py::TestNN::test_log_softmax_dim0, test/test_nn.py::TestNN::test_log_softmax_dim0_cuda, test/test_nn.py::TestNN::test_log_softmax_dim3, test/test_nn.py::TestNN::test_log_softmax_dim3_cuda, test/test_nn.py::TestNN::test_log_softmax_lastdim, test/test_nn.py::TestNN::test_log_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_log_softmax_scalar, test/test_nn.py::TestNN::test_log_softmax_scalar_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial, test/test_nn.py::TestNN::test_log_softmax_spatial_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial_special, test/test_nn.py::TestNN::test_log_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_loss_equal_input_target_shape, test/test_nn.py::TestNN::test_margin_ranking_loss_margin_no_reduce, test/test_nn.py::TestNN::test_margin_ranking_loss_no_reduce, test/test_nn.py::TestNN::test_max_pool1d_invalid_output_size, test/test_nn.py::TestNN::test_module_apply_inplace_op, test/test_nn.py::TestNN::test_module_backcompat, test/test_nn.py::TestNN::test_module_super_init, test/test_nn.py::TestNN::test_module_to_argparse, test/test_nn.py::TestNN::test_modules, test/test_nn.py::TestNN::test_mse_loss_size_warning, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_nn.py::TestNN::test_named_children, test/test_nn.py::TestNN::test_named_modules, test/test_nn.py::TestNN::test_named_parameters_remove_duplicate, test/test_nn.py::TestNN::test_native_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_nested_tensor_from_mask, test/test_nn.py::TestNN::test_nested_tensor_from_mask_error, test/test_nn.py::TestNN::test_no_grad, test/test_nn.py::TestNN::test_non_leaf_parameters, test/test_nn.py::TestNN::test_normalize, test/test_nn.py::TestNN::test_overwrite_module_params_on_conversion, test/test_nn.py::TestNN::test_pack_sequence_batch_sizes_throw, test/test_nn.py::TestNN::test_pad_scalar_error, test/test_nn.py::TestNN::test_padding_list, test/test_nn.py::TestNN::test_pairwise_distance, test/test_nn.py::TestNN::test_parameter_assignment, test/test_nn.py::TestNN::test_parameterlistdict_pickle, test/test_nn.py::TestNN::test_parameterlistdict_setting_attributes, test/test_nn.py::TestNN::test_parameters_and_named_parameters, test/test_nn.py::TestNN::test_parameters_to_vector, test/test_nn.py::TestNN::test_parse_to, test/test_nn.py::TestNN::test_partial_flat_weights, test/test_nn.py::TestNN::test_pdist, test/test_nn.py::TestNN::test_pdist_cpu_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_cuda_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_empty_col, test/test_nn.py::TestNN::test_pdist_empty_row, test/test_nn.py::TestNN::test_pdist_large, test/test_nn.py::TestNN::test_pdist_zeros, test/test_nn.py::TestNN::test_pickle_module_no_weights_only_warning, test/test_nn.py::TestNN::test_pixel_shuffle_nhwc_cpu, test/test_nn.py::TestNN::test_pixel_shuffle_unshuffle, test/test_nn.py::TestNN::test_pointwise_loss_broadcast, test/test_nn.py::TestNN::test_pointwise_loss_target_grad_none_reduction, test/test_nn.py::TestNN::test_projections_errors_on_gru_and_rnn, test/test_nn.py::TestNN::test_projections_lstm_args_check, test/test_nn.py::TestNN::test_projections_lstm_check_device, test/test_nn.py::TestNN::test_projections_lstm_initial_hidden_state, test/test_nn.py::TestNN::test_register_buffer_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_buffer_allows_tensor_like_object, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_not_tensor, test/test_nn.py::TestNN::test_register_parameter_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_relu_inplace_on_view, test/test_nn.py::TestNN::test_repr, test/test_nn.py::TestNN::test_requires_grad_, test/test_nn.py::TestNN::test_rnn_args_check, test/test_nn.py::TestNN::test_rnn_check_device, test/test_nn.py::TestNN::test_rnn_initial_hidden_state, test/test_nn.py::TestNN::test_rnn_weight_norm, test/test_nn.py::TestNN::test_set_submodule, test/test_nn.py::TestNN::test_share_memory, test/test_nn.py::TestNN::test_smoothl1loss_intergral_target, test/test_nn.py::TestNN::test_smoothl1loss_negative_beta_not_supported, test/test_nn.py::TestNN::test_softmax_functional_dim0, test/test_nn.py::TestNN::test_softmax_functional_dim0_cuda, test/test_nn.py::TestNN::test_softmax_functional_dim3, test/test_nn.py::TestNN::test_softmax_functional_dim3_cuda, test/test_nn.py::TestNN::test_softmax_functional_scalar, test/test_nn.py::TestNN::test_softmax_functional_scalar_cuda, test/test_nn.py::TestNN::test_softmax_lastdim, test/test_nn.py::TestNN::test_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_dtype, test/test_nn.py::TestNN::test_softmax_lastdim_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial, test/test_nn.py::TestNN::test_softmax_spatial_cuda, test/test_nn.py::TestNN::test_softmax_spatial_dtype, test/test_nn.py::TestNN::test_softmax_spatial_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial_special, test/test_nn.py::TestNN::test_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_softmin, test/test_nn.py::TestNN::test_spectral_norm, test/test_nn.py::TestNN::test_spectral_norm_dim, test/test_nn.py::TestNN::test_spectral_norm_forward, test/test_nn.py::TestNN::test_spectral_norm_load_state_dict, test/test_nn.py::TestNN::test_spectral_norm_pickle, test/test_nn.py::TestNN::test_state_dict, test/test_nn.py::TestNN::test_swap_module_params_poisons_acc_grad, test/test_nn.py::TestNN::test_sync_batchnorm_accuracy_cuda, test/test_nn.py::TestNN::test_sync_batchnorm_backward_elemt, test/test_nn.py::TestNN::test_threshold_bfloat16_half, test/test_nn.py::TestNN::test_threshold_int, test/test_nn.py::TestNN::test_to, test/test_nn.py::TestNN::test_train_errors_for_invalid_mode, test/test_nn.py::TestNN::test_transformer_args_check, test/test_nn.py::TestNN::test_transformer_layer_args_check, test/test_nn.py::TestNN::test_transformerdecoder, test/test_nn.py::TestNN::test_transformerdecoderlayer, test/test_nn.py::TestNN::test_transformerdecoderlayer_gelu, test/test_nn.py::TestNN::test_triplet_margin_loss, test/test_nn.py::TestNN::test_triplet_margin_loss_no_reduce, test/test_nn.py::TestNN::test_triplet_margin_loss_swap, test/test_nn.py::TestNN::test_triplet_margin_loss_swap_no_reduce, test/test_nn.py::TestNN::test_type, test/test_nn.py::TestNN::test_unflatten, test/test_nn.py::TestNN::test_unflatten_invalid_arg, test/test_nn.py::TestNN::test_unfold_invalid_arg, test/test_nn.py::TestNN::test_upsamplingBilinear2d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingLinear1d, test/test_nn.py::TestNN::test_upsamplingLinear1d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingTrilinear3d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_bfloat16, test/test_nn.py::TestNN::test_upsampling_not_recompute_scale_factor, test/test_nn.py::TestNN::test_upsampling_small_scale, test/test_nn.py::TestNN::test_vector_to_parameters, test/test_nn.py::TestNN::test_weight_norm, test/test_nn.py::TestNN::test_weight_norm_pickle, test/test_nn.py::TestNN::test_weighted_huber_loss, test/test_nn.py::TestNN::test_weighted_l1_loss_with_weights, test/test_nn.py::TestNN::test_weighted_mse_loss, test/test_nn.py::TestNN::test_zero_grad, test/test_nn.py::TestFusionEval::test_fuse_module_eval_numerics, test/test_nn.py::TestConstantPadNd::test_constant_pad_nd, test/test_nn.py::TestConstantPadNd::test_preserves_memory_format, test/test_nn.py::TestAddRelu::test_add_relu, test/test_nn.py::TestAddRelu::test_add_relu_broadcasting, test/test_nn.py::TestFunctionalPickle::test_pickle_softsign, test/test_nn.py::TestFusionUtils::test_fuse_conv_bn_requires_grad, test/test_nn.py::TestFusionUtils::test_fuse_linear_bn_requires_grad, test/test_nn.py::TestUtils::test_consume_prefix_in_state_dict_if_present, test/test_nn.py::TestNNDeviceTypeCPU::test_BatchNorm_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_Bilinear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_empty_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GRU_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_memory_format_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_raises_error_if_one_value_per_group_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm1d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm2d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm3d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LocalResponseNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_warnings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_deterministic_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_fails_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad1d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Transformer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Unfold_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_adaptiveavg_pool1d_shmem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate45_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate90_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_3d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_update_stats_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_channel_shuffle_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_error_if_nonfinite_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_errors_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_weight_ignore_indices_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_with_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_index_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_one_hot_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_all_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cpu_length_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_device_mask_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_with_neg_alpha_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_fold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_glu_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_bfloat16_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_hardsigmoid_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_for_single_spatial_element_during_training_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_less_than_one_value_per_channel_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_invalid_reduction_strings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_weight_bias_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_neg_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_zero_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_linear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_big_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_logsigmoid_out_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_lstmcell_backward_only_one_output_grad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_TxT_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_devices_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_forward_with_nans_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_mask_types_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_transformer_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_non_recursive_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mse_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_all_ignored_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_byte_target_matches_long_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_mean_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_none_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_sum_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_target_dim_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_mismatched_batch_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_out_of_bounds_ignore_index_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_total_weight_is_zero_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nonlinearity_propagate_nan_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_one_hot_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_overwrite_module_params_on_conversion_cpu_device_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_prelu_backward_32bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_replicatepad_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_retain_variables_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_save_lstm_compatibility_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_silu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_skip_init_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_vs_huber_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smoothl1loss_backward_zero_beta_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_smem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_grad_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_without_fully_vectorized_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_double_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_forward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_results_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_low_threshold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_negative_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_threshold_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_fast_path_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_gelu_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_default_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_correctness_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_fail_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_rocm_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_rescale_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingnearest2d_backward_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_variable_sequence_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_BatchNorm_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_Bilinear_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_cudnn_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_empty_target_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GRU_grad_and_gradgrad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_memory_format_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_numeric_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_raises_error_if_one_value_per_group_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm1d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm2d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm3d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_differentiable_backward_using_oneDNN_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_differentiable_backward_using_oneDNN_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_grad_and_gradgrad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_LayerNorm_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LayerNorm_numeric_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LocalResponseNorm_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_empty_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_race_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_race_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_warnings_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad2d_large_deterministic_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad2d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad3d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_empty_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_fails_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad1d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad2d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad3d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad_empty_mps_complex128, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad_empty_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerDecoderLayer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerDecoder_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerEncoderLayer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerEncoder_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_Transformer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_Unfold_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_half_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_half_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_adaptiveavg_pool1d_shmem_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate45_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate90_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotateRandom_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_3d_rotateRandom_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_avg_pool_large_tensor2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_avg_pool_large_tensor_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_large_batch_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_large_batch_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_update_stats_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_channel_shuffle_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_error_if_nonfinite_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_0_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_1_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_4_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_inf_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_0_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_1_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_4_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_inf_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_multi_device_foreach_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_multi_device_foreach_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_value_foreach_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_value_foreach_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_errors_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_weight_ignore_indices_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_with_probs_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_2d_out_of_bounds_class_index_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_2d_out_of_bounds_class_index_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_index_target_unit_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_one_hot_target_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_all_reductions_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_unit_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_tensor_cpu_length_cuda_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_tensor_cuda_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_error_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_device_mask_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_elu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_elu_inplace_with_neg_alpha_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_fold_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_glu_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_bfloat16_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_half_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_2d_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_2d_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_3d_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_3d_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_nan_inf_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_nan_inf_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_gumbel_softmax_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_hardsigmoid_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_for_single_spatial_element_during_training_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_less_than_one_value_per_channel_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_invalid_reduction_strings_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_layernorm_half_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_layernorm_weight_bias_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_with_neg_slope_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_with_zero_slope_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_linear_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_big_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_logsigmoid_out_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_lstmcell_backward_only_one_output_grad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_TxT_layout_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_devices_parity_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_forward_with_nans_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_lowp_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_lowp_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_mask_types_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_transformer_layout_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_mish_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_module_to_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_module_to_empty_non_recursive_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_mse_loss_error_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_all_ignored_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_byte_target_matches_long_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_mean_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_mean_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_none_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_none_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_sum_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_sum_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_invalid_target_dim_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_invalid_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_mismatched_batch_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_out_of_bounds_ignore_index_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_total_weight_is_zero_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_scalars_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_scalars_reductions_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nonlinearity_propagate_nan_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_one_hot_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_overwrite_module_params_on_conversion_cpu_device_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_pad_mps_complex128, test/test_nn.py::TestNNDeviceTypeMPS::test_pad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_prelu_backward_32bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_replicatepad_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_epsilon_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_epsilon_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_epsilon_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_numeric_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_numeric_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_fused_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_fused_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_retain_variables_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_retain_variables_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_save_lstm_compatibility_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_silu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_skip_init_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smooth_l1_loss_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smooth_l1_loss_vs_huber_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smoothl1loss_backward_zero_beta_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_64bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_smem_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_unaligned_grad_output_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_unaligned_output_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_without_fully_vectorized_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_double_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_forward_64bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_results_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_softplus_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softplus_low_threshold_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_negative_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_threshold_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_to_complex_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_to_complex_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_fast_path_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_gelu_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_triplet_margin_with_distance_loss_default_parity_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_triplet_margin_with_distance_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBicubic2d_aa_correctness_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBicubic2d_aa_correctness_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBicubic2d_correctness_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBilinear2d_aa_correctness_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBilinear2d_aa_correctness_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_correctness_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_correctness_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_launch_config_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_launch_config_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_launch_fail_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_launch_rocm_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_memory_format0_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_memory_format1_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_launch_config_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format0_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format1_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_rescale_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_False_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_False_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_True_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_True_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsampling_64bit_indexing_channels_last_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsampling_64bit_indexing_channels_last_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingnearest2d_backward_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_variable_sequence_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_warp_softmax_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_warp_softmax_64bit_indexing_mps_float32
2025-08-26T19:57:49.5246890Z 
2025-08-26T19:57:49.5247060Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-08-26 19:57:49.293613]
2025-08-26T19:57:49.5247360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:57:49.5248130Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:57:49.293922]
2025-08-26T19:57:52.6954360Z 
2025-08-26T19:57:52.6957070Z test_cpp_extensions_stream_and_event 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_stream_and_event_1.1_3b0f1383c3b73bc9_.log
2025-08-26T19:57:52.6957960Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event
2025-08-26T19:57:52.6958350Z 
2025-08-26T19:57:52.6958840Z Running test_dispatch 1/1 ... [2025-08-26 19:57:52.695834]
2025-08-26T19:57:52.6959110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:57:52.6962420Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:57:52.696144]
2025-08-26T19:58:17.0933170Z 
2025-08-26T19:58:17.0933810Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_500655727cb67f23_.log
2025-08-26T19:58:17.0941510Z Running 32 items in this shard: test/test_dispatch.py::TestDispatch::test_all_invariants, test/test_dispatch.py::TestDispatch::test_computed_table, test/test_dispatch.py::TestDispatch::test_computed_table_with_ambiguous_autogradother, test/test_dispatch.py::TestDispatch::test_computed_table_with_autograd, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math_autogradcpu_fallthrough, test/test_dispatch.py::TestDispatch::test_computed_table_with_math, test/test_dispatch.py::TestDispatch::test_def, test/test_dispatch.py::TestDispatch::test_def_impl_schema_mismatch, test/test_dispatch.py::TestDispatch::test_def_only, test/test_dispatch.py::TestDispatch::test_def_with_explicit_alias, test/test_dispatch.py::TestDispatch::test_def_with_inference, test/test_dispatch.py::TestDispatch::test_dispatch_print_registrations_for_dispatch_key_invalid, test/test_dispatch.py::TestDispatch::test_find_dangling_impls, test/test_dispatch.py::TestDispatch::test_find_dangling_impls_ext, test/test_dispatch.py::TestDispatch::test_impl_only, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_defaulting, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_mismatch, test/test_dispatch.py::TestDispatch::test_multiple_def_error, test/test_dispatch.py::TestDispatch::test_multiple_fallback, test/test_dispatch.py::TestDispatch::test_overwrite_math, test/test_dispatch.py::TestPythonDispatcher::test_autogradother, test/test_dispatch.py::TestPythonDispatcher::test_basic, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_math, test/test_dispatch.py::TestPythonDispatcher::test_duplicate_registrations, test/test_dispatch.py::TestPythonDispatcher::test_math_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_quantized_structured_not_implemented
2025-08-26T19:58:17.0948710Z 
2025-08-26T19:58:17.0948850Z Running test_native_mha 1/1 ... [2025-08-26 19:58:17.093797]
2025-08-26T19:58:17.0949270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:58:17.0950170Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:58:17.094121]
2025-08-26T19:58:19.0859030Z 
2025-08-26T19:58:19.0859600Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_e72ce3b92ea29f6b_.log
2025-08-26T19:58:19.0872020Z Running 28 items in this shard: test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_encoder_decoder_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_nested_cpu_float32
2025-08-26T19:58:19.0883770Z 
2025-08-26T19:58:19.0883900Z Running test_sort_and_select 1/1 ... [2025-08-26 19:58:19.086283]
2025-08-26T19:58:19.0884150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:58:19.0884850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:58:19.086547]
2025-08-26T19:58:22.0485320Z 
2025-08-26T19:58:22.0485960Z test_sort_and_select 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sort_and_select_1.1_08782f839754d20b_.log
2025-08-26T19:58:22.0514750Z Running 113 items in this shard: test/test_sort_and_select.py::TestSortAndSelectCPU::test_complex_unsupported_cpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_dtypes_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_scalar_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_slow_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_expanded_tensor_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_slice_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_restride_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_stable_none_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_4d_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_arguments_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_noncontiguous_gpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_quantized_scalar_input_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_dim_cpu
2025-08-26T19:58:22.0541460Z 
2025-08-26T19:58:22.0541620Z Running test_cpp_extensions_jit 1/1 ... [2025-08-26 19:58:22.049094]
2025-08-26T19:58:22.0541930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T19:58:22.0542830Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 19:58:22.049438]
2025-08-26T20:00:09.0204770Z 
2025-08-26T20:00:09.0205540Z test_cpp_extensions_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_jit_1.1_17e3986587830f4b_.log
2025-08-26T20:00:09.0216800Z Running 34 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_aoti_torch_call_dispatcher, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_autograd_from_cpp, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_compilation_error_formatting, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_same_output_as_python, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_up_to_date_attributes, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op_with_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_non_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_pluggable_allocator_include, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_compound_op_autograd, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_functorch_error, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_gen_extension_h_pch, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_half_support, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_custom_op_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_multiple_sources_and_no_functions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_throws_when_functions_is_bad, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_dict, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_list, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_xpu, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_compile_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_archflags, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cudnn_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_archlists, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_lenient_flag_handling_in_jit_extensions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_load_with_non_platform_default_encoding, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_mps_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_reload_jit_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_returns_shared_library_path_when_is_python_module_is_true, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_set_default_type_also_changes_aten_default_type, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_warning
2025-08-26T20:00:09.0227410Z 
2025-08-26T20:00:09.0227560Z Running nn/test_pooling 1/1 ... [2025-08-26 20:00:09.021039]
2025-08-26T20:00:09.0227910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:00:09.0229000Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:00:09.021381]
2025-08-26T20:00:28.3288900Z 
2025-08-26T20:00:28.3289430Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_9dfe4adf2cbeec8f_.log
2025-08-26T20:00:28.3338510Z Running 198 items in this shard: test/nn/test_pooling.py::TestAvgPool::test_avg_pool1d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool2d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool3d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d_with_divisor, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d_with_divisor, test/nn/test_pooling.py::TestPoolingNN::test_MaxUnpool2d_output_size, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_nhwc_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_backward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_forward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_non_contiguous, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_lower_precision, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_none, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_overflow, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool2d_nhwc_cpu, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool3d_input_check, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool1d_empty_kernel, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool3d, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool2d_empty_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool3d_backward_after_cat_dim1_device_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_errors_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case10_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case4_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case5_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case6_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case7_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case8_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case9_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool2d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool3d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_max_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pool_odd_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool3d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_with_indices_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool3d_non_square_backward_cpu, 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test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_corner_cases_mps_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_corner_cases_mps_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_indices_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_with_indices_backward_fails_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool3d_ndhwc_mps_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool3d_ndhwc_mps_float16, 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2025-08-26T20:00:28.3383960Z 
2025-08-26T20:00:28.3384090Z Running nn/test_convolution 1/1 ... [2025-08-26 20:00:28.329415]
2025-08-26T20:00:28.3384350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:00:28.3385090Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:00:28.329699]
2025-08-26T20:02:31.0709920Z 
2025-08-26T20:02:31.0710600Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_97536798c2317a51_.log
2025-08-26T20:02:31.1117970Z Running 1149 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv1d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_1x1, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias_v2, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_with_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_without_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_missing_argument, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_half_cublas_gemm, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size_downsample_upsample, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, test/nn/test_convolution.py::TestConvolutionNN::test_conv2d_discontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_issue_120406, test/nn/test_convolution.py::TestConvolutionNN::test_conv_backcompat, test/nn/test_convolution.py::TestConvolutionNN::test_conv_cudnn_memory_layout_dominance, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_contiguous_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_mismatch_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_ndhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_groups_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_no_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_stride_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_strided_with_3D_input_and_weight_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_ic1_channels_last_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_batch_1_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_nosplit_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_and_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transposed_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv2d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv3d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_depthwise_conv_64bit_indexing_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_conv_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_backward_depthwise_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_backward_depthwise_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_depthwise_naive_groups_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_depthwise_naive_groups_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_depthwise_naive_groups_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_2_mps_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_2_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_2_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_2_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_2_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_3_mps_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_3_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_3_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_3_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_3_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_large_workspace_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_large_workspace_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_large_workspace_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_naive_groups_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_size_1_kernel_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv3d_depthwise_naive_groups_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv3d_depthwise_naive_groups_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv3d_depthwise_naive_groups_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose2d_large_output_padding_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose2d_large_output_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose2d_size_1_kernel_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose3d_size_1_kernel_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_contig_wrong_stride_cudnn_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_valid_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_valid_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_valid_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_valid_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_vs_scipy_mode_same_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_vs_scipy_mode_same_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_vs_scipy_mode_valid_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_vs_scipy_mode_valid_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_no_grad_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_same_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_same_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_same_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_same_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_valid_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_valid_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_valid_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_valid_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_vs_scipy_mode_same_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_vs_scipy_mode_same_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_vs_scipy_mode_valid_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_vs_scipy_mode_valid_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_64bit_indexing_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_same_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_same_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_same_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_same_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_valid_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_valid_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_valid_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_valid_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_vs_scipy_mode_same_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_vs_scipy_mode_same_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_vs_scipy_mode_valid_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_vs_scipy_mode_valid_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_convTranspose_empty_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_False_mps, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cuda_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cuda_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_cuda_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow3d_dilated_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_contiguous_for_oneDNN_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_mismatch_memory_format_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_ndhwc_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_ndhwc_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_nhwc_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_nhwc_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_nhwc_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_nhwc_support_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_cudnn_nhwc_support_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_double_backward_groups_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_double_backward_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_double_backward_no_bias_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_double_backward_stride_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_double_backward_strided_with_3D_input_and_weight_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_empty_channel_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_empty_channel_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_ic1_channels_last_for_oneDNN_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_large_batch_1_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_large_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_large_nosplit_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_noncontig_weights_and_bias_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_noncontig_weights_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_thnn_nhwc_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_thnn_nhwc_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_transposed_large_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_convert_conv2d_weight_memory_format_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_convert_conv3d_weight_memory_format_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_cudnn_convolution_add_relu_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_cudnn_convolution_add_relu_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_cudnn_convolution_relu_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_cudnn_convolution_relu_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_depthwise_conv_64bit_indexing_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_group_convTranspose_empty_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_group_conv_empty_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_noncontig_conv_grad_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_noncontig_conv_grad_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_noncontig_conv_grad_mps_float64
2025-08-26T20:02:31.1485060Z 
2025-08-26T20:02:31.1485230Z Running test_multiprocessing_spawn 1/1 ... [2025-08-26 20:02:31.072574]
2025-08-26T20:02:31.1485510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:02:31.1486240Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:02:31.072903]
2025-08-26T20:05:35.4683810Z 
2025-08-26T20:05:35.4684440Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_8b59567f42741be8_.log
2025-08-26T20:05:35.4692460Z Running 31 items in this shard: test/test_multiprocessing_spawn.py::SpawnTest::test_exception_all, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_single, test/test_multiprocessing_spawn.py::SpawnTest::test_first_argument_index, test/test_multiprocessing_spawn.py::SpawnTest::test_signal_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_success, test/test_multiprocessing_spawn.py::SpawnTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::SpawnTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ForkTest::test_exception_all, test/test_multiprocessing_spawn.py::ForkTest::test_exception_single, test/test_multiprocessing_spawn.py::ForkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ForkTest::test_success, test/test_multiprocessing_spawn.py::ForkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ForkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_all, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_single, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerPerfTest::test_forkserver_perf, test/test_multiprocessing_spawn.py::ErrorTest::test_errors_pickleable
2025-08-26T20:05:35.4699910Z 
2025-08-26T20:05:35.4700070Z Running test_cuda_primary_ctx 1/1 ... [2025-08-26 20:05:35.468800]
2025-08-26T20:05:35.4700370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:05:35.4701250Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:05:35.469109]
2025-08-26T20:05:37.3052930Z 
2025-08-26T20:05:37.3053500Z test_cuda_primary_ctx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_primary_ctx_1.1_19bd2bbbaae86590_.log
2025-08-26T20:05:37.3053990Z Running 0 items in this shard:
2025-08-26T20:05:37.3054120Z 
2025-08-26T20:05:37.3057230Z Running test_mobile_optimizer 1/1 ... [2025-08-26 20:05:37.305651]
2025-08-26T20:05:37.3057510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:05:37.3060390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:05:37.305934]
2025-08-26T20:05:39.3279220Z 
2025-08-26T20:05:39.3279770Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_436fd67f5ed4b291_.log
2025-08-26T20:05:39.3281920Z Running 7 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_clone_module_with_class, test/test_mobile_optimizer.py::TestOptimizer::test_generate_mobile_module_lints, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_mobilenet_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_preserve_bundled_inputs_methods, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures
2025-08-26T20:05:39.3283560Z 
2025-08-26T20:05:39.3283900Z Running test_cuda_trace 1/1 ... [2025-08-26 20:05:39.328325]
2025-08-26T20:05:39.3284200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:05:39.3287140Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:05:39.328608]
2025-08-26T20:05:41.0390410Z 
2025-08-26T20:05:41.0390930Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_01591a505781505a_.log
2025-08-26T20:05:41.0391400Z Running 0 items in this shard:
2025-08-26T20:05:41.0391520Z 
2025-08-26T20:05:41.0394800Z Running test_cuda_nvml_based_avail 1/1 ... [2025-08-26 20:05:41.039402]
2025-08-26T20:05:41.0395080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:05:41.0397820Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:05:41.039684]
2025-08-26T20:05:42.7611000Z 
2025-08-26T20:05:42.7611610Z test_cuda_nvml_based_avail 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_nvml_based_avail_1.1_df86f9a413ba9e0e_.log
2025-08-26T20:05:42.7612180Z Running 0 items in this shard:
2025-08-26T20:05:42.7612310Z 
2025-08-26T20:05:42.7615450Z Running test_spectral_ops 1/1 ... [2025-08-26 20:05:42.761471]
2025-08-26T20:05:42.7615740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:05:42.7618150Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:05:42.761738]
2025-08-26T20:05:47.8707650Z 
2025-08-26T20:05:47.8708230Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_4f3e259075546b85_.log
2025-08-26T20:05:47.8760670Z Running 281 items in this shard: test/test_spectral_ops.py::TestFFTCPU::test_batch_istft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_istft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_definition_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_onesided_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_plan_cache_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_ifft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft2_fftn_equivalence_cpu_complex64, 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test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_irfftn_cpu_float32, 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test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_stft_align_to_window_only_requires_non_center_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_complex_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_window_device_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_hfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ihfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftn_cpu
2025-08-26T20:05:47.8811360Z 
2025-08-26T20:05:47.8811540Z Running distributions/test_distributions 1/1 ... [2025-08-26 20:05:47.871300]
2025-08-26T20:05:47.8811840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:05:47.8812600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:05:47.871563]
2025-08-26T20:06:09.2509980Z 
2025-08-26T20:06:09.2510730Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_922a1ca544a4803a_.log
2025-08-26T20:06:09.2575110Z Running 230 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_log_prob, test/distributions/test_distributions.py::TestDistributions::test_beta_sample, test/distributions/test_distributions.py::TestDistributions::test_beta_shape, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow_gpu, test/distributions/test_distributions.py::TestDistributions::test_binomial, test/distributions/test_distributions.py::TestDistributions::test_binomial_bfloat16, test/distributions/test_distributions.py::TestDistributions::test_binomial_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_binomial_extreme_vals, test/distributions/test_distributions.py::TestDistributions::test_binomial_half, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_stable, test/distributions/test_distributions.py::TestDistributions::test_binomial_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_cauchy, test/distributions/test_distributions.py::TestDistributions::test_cdf_icdf_inverse, test/distributions/test_distributions.py::TestDistributions::test_cdf_log_prob, test/distributions/test_distributions.py::TestDistributions::test_chi2_sample, test/distributions/test_distributions.py::TestDistributions::test_chi2_shape, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob_zero, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_mode, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_sample, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributions::test_distribution_expand, test/distributions/test_distributions.py::TestDistributions::test_distribution_subclass_expand, test/distributions/test_distributions.py::TestDistributions::test_enumerate_support_type, test/distributions/test_distributions.py::TestDistributions::test_exponential, test/distributions/test_distributions.py::TestDistributions::test_exponential_sample, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_shape, test/distributions/test_distributions.py::TestDistributions::test_gamma_log_prob_at_boundary, test/distributions/test_distributions.py::TestDistributions::test_gamma_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_shape, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_geometric, test/distributions/test_distributions.py::TestDistributions::test_geometric_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_geometric_sample, test/distributions/test_distributions.py::TestDistributions::test_gumbel, test/distributions/test_distributions.py::TestDistributions::test_gumbel_sample, test/distributions/test_distributions.py::TestDistributions::test_halfcauchy, test/distributions/test_distributions.py::TestDistributions::test_halfnormal, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_has_examples, test/distributions/test_distributions.py::TestDistributions::test_independent_expand, test/distributions/test_distributions.py::TestDistributions::test_independent_shape, test/distributions/test_distributions.py::TestDistributions::test_invalid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_inversegamma, test/distributions/test_distributions.py::TestDistributions::test_inversegamma_sample, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_mean_variance, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_shape, test/distributions/test_distributions.py::TestDistributions::test_laplace, test/distributions/test_distributions.py::TestDistributions::test_laplace_sample, test/distributions/test_distributions.py::TestDistributions::test_lazy_property_grad, test/distributions/test_distributions.py::TestDistributions::test_lkj_cholesky_log_prob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lognormal, test/distributions/test_distributions.py::TestDistributions::test_lognormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lognormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_sample, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributions::test_mode, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_multinomial_2d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_sequential_draw, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_normal, test/distributions/test_distributions.py::TestDistributions::test_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_pareto, test/distributions/test_distributions.py::TestDistributions::test_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_forward_ad, test/distributions/test_distributions.py::TestDistributions::test_poisson_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_log_prob, test/distributions/test_distributions.py::TestDistributions::test_poisson_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_shape, test/distributions/test_distributions.py::TestDistributions::test_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_repr, test/distributions/test_distributions.py::TestDistributions::test_rounded_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_rsample_requires_grad, test/distributions/test_distributions.py::TestDistributions::test_sample_detached, test/distributions/test_distributions.py::TestDistributions::test_studentT, test/distributions/test_distributions.py::TestDistributions::test_studentT_log_prob, test/distributions/test_distributions.py::TestDistributions::test_studentT_sample, test/distributions/test_distributions.py::TestDistributions::test_support_attributes, test/distributions/test_distributions.py::TestDistributions::test_torch_binomial_dtype_errors, test/distributions/test_distributions.py::TestDistributions::test_uniform, test/distributions/test_distributions.py::TestDistributions::test_valid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_vonmises_logprob, test/distributions/test_distributions.py::TestDistributions::test_vonmises_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_log_prob, test/distributions/test_distributions.py::TestDistributions::test_wishart_moments, test/distributions/test_distributions.py::TestDistributions::test_wishart_properties, test/distributions/test_distributions.py::TestDistributions::test_wishart_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_shape, test/distributions/test_distributions.py::TestDistributions::test_wishart_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_zero_excluded_binomial, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_alpha, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_beta, test/distributions/test_distributions.py::TestRsample::test_chi2, test/distributions/test_distributions.py::TestRsample::test_dirichlet_multivariate, test/distributions/test_distributions.py::TestRsample::test_dirichlet_on_diagonal, test/distributions/test_distributions.py::TestRsample::test_dirichlet_tangent_field, test/distributions/test_distributions.py::TestRsample::test_gamma, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape_vectorized_n, test/distributions/test_distributions.py::TestDistributionShapes::test_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_entropy_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_scalar_param, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_tensor_param, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gumbel_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_kumaraswamy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_mean_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_multinomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_one_hot_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_pareto_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_weibull_scale_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_tensor_params, test/distributions/test_distributions.py::TestKL::test_entropy_exponential_family, test/distributions/test_distributions.py::TestKL::test_entropy_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_edgecases, test/distributions/test_distributions.py::TestKL::test_kl_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_infinite, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched_broadcasted, test/distributions/test_distributions.py::TestKL::test_kl_shape, test/distributions/test_distributions.py::TestKL::test_kl_transformed, test/distributions/test_distributions.py::TestConstraints::test_params_constraints, test/distributions/test_distributions.py::TestConstraints::test_support_constraints, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob_with_logits, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob_with_logits, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_logits_initialization, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_probs_initialization, test/distributions/test_distributions.py::TestAgainstScipy::test_cdf, test/distributions/test_distributions.py::TestAgainstScipy::test_icdf, test/distributions/test_distributions.py::TestAgainstScipy::test_mean, test/distributions/test_distributions.py::TestAgainstScipy::test_variance_stddev, test/distributions/test_distributions.py::TestFunctors::test_cat_event_dim, test/distributions/test_distributions.py::TestFunctors::test_cat_transform, test/distributions/test_distributions.py::TestFunctors::test_cat_transform_non_uniform, test/distributions/test_distributions.py::TestFunctors::test_stack_transform, test/distributions/test_distributions.py::TestValidation::test_invalid, test/distributions/test_distributions.py::TestValidation::test_invalid_log_probs_arg, test/distributions/test_distributions.py::TestValidation::test_valid, test/distributions/test_distributions.py::TestValidation::test_warning_unimplemented_constraints, test/distributions/test_distributions.py::TestJit::test_cdf, test/distributions/test_distributions.py::TestJit::test_entropy, test/distributions/test_distributions.py::TestJit::test_enumerate_support, test/distributions/test_distributions.py::TestJit::test_log_prob, test/distributions/test_distributions.py::TestJit::test_mean, test/distributions/test_distributions.py::TestJit::test_rsample, test/distributions/test_distributions.py::TestJit::test_sample, test/distributions/test_distributions.py::TestJit::test_variance
2025-08-26T20:06:09.2632950Z 
2025-08-26T20:06:09.2633130Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-08-26 20:06:09.251586]
2025-08-26T20:06:10.6454050Z running install
2025-08-26T20:06:10.6467590Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T20:06:10.6468200Z !!
2025-08-26T20:06:10.6468330Z 
2025-08-26T20:06:10.6468420Z         ********************************************************************************
2025-08-26T20:06:10.6468670Z         Please avoid running ``setup.py`` directly.
2025-08-26T20:06:10.6468930Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T20:06:10.6469160Z         standards-based tools.
2025-08-26T20:06:10.6469280Z 
2025-08-26T20:06:10.6469470Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T20:06:10.6469800Z         ********************************************************************************
2025-08-26T20:06:10.6469940Z 
2025-08-26T20:06:10.6469990Z !!
2025-08-26T20:06:10.6470110Z   self.initialize_options()
2025-08-26T20:06:10.6547000Z running build
2025-08-26T20:06:10.6547270Z running build_py
2025-08-26T20:06:10.6598110Z creating build
2025-08-26T20:06:10.6599690Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-08-26T20:06:10.6600300Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-26T20:06:10.6601080Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-26T20:06:10.6609790Z running build_ext
2025-08-26T20:06:10.6629320Z building 'torch_test_cpp_extension.cpp' extension
2025-08-26T20:06:10.6629820Z creating build/temp.macosx-14.0-arm64-cpython-312
2025-08-26T20:06:10.6632780Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-26T20:06:17.6783920Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-08-26T20:06:17.7221050Z building 'torch_test_cpp_extension.maia' extension
2025-08-26T20:06:17.7224060Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c maia_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-26T20:06:24.5580500Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-08-26T20:06:24.6016870Z building 'torch_test_cpp_extension.rng' extension
2025-08-26T20:06:24.6019630Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c rng_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-26T20:06:32.1138680Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-08-26T20:06:32.1583550Z building 'torch_test_cpp_extension.mps' extension
2025-08-26T20:06:32.1586470Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c mps_extension.mm -o build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-08-26T20:06:35.8521950Z In file included from mps_extension.mm:2:
2025-08-26T20:06:35.8522540Z In file included from /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:10:
2025-08-26T20:06:35.8523800Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-08-26T20:06:35.8524610Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-08-26T20:06:35.8524860Z   ^
2025-08-26T20:06:35.8525650Z /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-08-26T20:06:35.8526560Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-08-26T20:06:35.8526820Z            ^
2025-08-26T20:06:35.8527370Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-08-26T20:06:35.8527960Z class TORCH_API MPSStream {
2025-08-26T20:06:35.8528120Z                 ^
2025-08-26T20:06:35.8528260Z       API_AVAILABLE(macos(12.0))
2025-08-26T20:06:38.9424160Z 1 warning generated.
2025-08-26T20:06:38.9537110Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-08-26T20:06:38.9960350Z running install_lib
2025-08-26T20:06:39.0024770Z creating install
2025-08-26T20:06:39.0025300Z creating install/Users
2025-08-26T20:06:39.0025870Z creating install/Users/ec2-user
2025-08-26T20:06:39.0026320Z creating install/Users/ec2-user/runner
2025-08-26T20:06:39.0033740Z creating install/Users/ec2-user/runner/_work
2025-08-26T20:06:39.0034010Z creating install/Users/ec2-user/runner/_work/_temp
2025-08-26T20:06:39.0034360Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:06:39.0034740Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib
2025-08-26T20:06:39.0035170Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12
2025-08-26T20:06:39.0035640Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages
2025-08-26T20:06:39.0036210Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:06:39.0037090Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:06:39.0038180Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:06:39.0039360Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/__init__.py -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:06:39.0040470Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:06:39.0049420Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:06:39.0066550Z byte-compiling ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-312.pyc
2025-08-26T20:06:39.0069520Z running install_egg_info
2025-08-26T20:06:39.0231130Z running egg_info
2025-08-26T20:06:39.0231490Z creating torch_test_cpp_extension.egg-info
2025-08-26T20:06:39.0258550Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-26T20:06:39.0262150Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-26T20:06:39.0263190Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-26T20:06:39.0264550Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-26T20:06:39.0265630Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T20:06:39.0295580Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T20:06:39.0298670Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T20:06:39.0299510Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-08-26T20:06:39.0310420Z running install_scripts
2025-08-26T20:06:40.2438150Z running install
2025-08-26T20:06:40.2439780Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T20:06:40.2440340Z !!
2025-08-26T20:06:40.2441310Z 
2025-08-26T20:06:40.2441470Z         ********************************************************************************
2025-08-26T20:06:40.2441720Z         Please avoid running ``setup.py`` directly.
2025-08-26T20:06:40.2441980Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T20:06:40.2442210Z         standards-based tools.
2025-08-26T20:06:40.2442330Z 
2025-08-26T20:06:40.2442530Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T20:06:40.2442870Z         ********************************************************************************
2025-08-26T20:06:40.2443020Z 
2025-08-26T20:06:40.2443060Z !!
2025-08-26T20:06:40.2443190Z   self.initialize_options()
2025-08-26T20:06:40.2506250Z running build
2025-08-26T20:06:40.2506500Z running build_ext
2025-08-26T20:06:40.2827160Z building 'no_python_abi_suffix_test' extension
2025-08-26T20:06:40.2827610Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build
2025-08-26T20:06:40.2828450Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312
2025-08-26T20:06:40.3561700Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -std=c++17
2025-08-26T20:06:40.3598370Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-08-26T20:06:40.3600650Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.so
2025-08-26T20:06:40.4009000Z running install_lib
2025-08-26T20:06:40.4045410Z creating install
2025-08-26T20:06:40.4045980Z creating install/Users
2025-08-26T20:06:40.4046550Z creating install/Users/ec2-user
2025-08-26T20:06:40.4047080Z creating install/Users/ec2-user/runner
2025-08-26T20:06:40.4047640Z creating install/Users/ec2-user/runner/_work
2025-08-26T20:06:40.4048160Z creating install/Users/ec2-user/runner/_work/_temp
2025-08-26T20:06:40.4048750Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:06:40.4049200Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib
2025-08-26T20:06:40.4049780Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12
2025-08-26T20:06:40.4050330Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages
2025-08-26T20:06:40.4051280Z copying build/lib.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages
2025-08-26T20:06:40.4055820Z running install_egg_info
2025-08-26T20:06:40.4134810Z running egg_info
2025-08-26T20:06:40.4135200Z creating no_python_abi_suffix_test.egg-info
2025-08-26T20:06:40.4162480Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2025-08-26T20:06:40.4166470Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2025-08-26T20:06:40.4167760Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2025-08-26T20:06:40.4168750Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-26T20:06:40.4197410Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-26T20:06:40.4200420Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-26T20:06:40.4201280Z Copying no_python_abi_suffix_test.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info
2025-08-26T20:06:40.4212660Z running install_scripts
2025-08-26T20:06:40.6299590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:06:40.6303330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:06:40.630208]
2025-08-26T20:06:42.8614730Z 
2025-08-26T20:06:42.8615480Z test_cpp_extensions_aot_no_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_9255b7afc848cf28_.log
2025-08-26T20:06:42.8620450Z Running 21 items in this shard: test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_no_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_no_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_no_ninja.py::TestTorchLibrary::test_torch_library
2025-08-26T20:06:42.8625020Z 
2025-08-26T20:06:42.8625150Z Running test_autoload_disable 1/1 ... [2025-08-26 20:06:42.862016]
2025-08-26T20:06:44.2824910Z running install
2025-08-26T20:06:44.2825870Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T20:06:44.2826430Z !!
2025-08-26T20:06:44.2826500Z 
2025-08-26T20:06:44.2826590Z         ********************************************************************************
2025-08-26T20:06:44.2826840Z         Please avoid running ``setup.py`` directly.
2025-08-26T20:06:44.2827090Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T20:06:44.2827310Z         standards-based tools.
2025-08-26T20:06:44.2827420Z 
2025-08-26T20:06:44.2827620Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T20:06:44.2827940Z         ********************************************************************************
2025-08-26T20:06:44.2828090Z 
2025-08-26T20:06:44.2828130Z !!
2025-08-26T20:06:44.2828260Z   self.initialize_options()
2025-08-26T20:06:44.2892500Z running build
2025-08-26T20:06:44.2892790Z running build_py
2025-08-26T20:06:44.2922970Z creating build
2025-08-26T20:06:44.2923600Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-08-26T20:06:44.2924240Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-26T20:06:44.2925000Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-26T20:06:44.2928510Z running build_ext
2025-08-26T20:06:44.2936330Z building 'torch_test_cpp_extension.cpp' extension
2025-08-26T20:06:44.2936660Z creating build/temp.macosx-14.0-arm64-cpython-312
2025-08-26T20:06:44.2939870Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-26T20:06:51.3152500Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-08-26T20:06:51.3588200Z building 'torch_test_cpp_extension.maia' extension
2025-08-26T20:06:51.3591220Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c maia_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-26T20:06:58.1793360Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-08-26T20:06:58.2234750Z building 'torch_test_cpp_extension.rng' extension
2025-08-26T20:06:58.2237590Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c rng_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-26T20:07:05.7168520Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-08-26T20:07:05.7603570Z building 'torch_test_cpp_extension.mps' extension
2025-08-26T20:07:05.7606270Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c mps_extension.mm -o build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-08-26T20:07:09.4483600Z In file included from mps_extension.mm:2:
2025-08-26T20:07:09.4484280Z In file included from /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:10:
2025-08-26T20:07:09.4485300Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-08-26T20:07:09.4486110Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-08-26T20:07:09.4486360Z   ^
2025-08-26T20:07:09.4487280Z /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-08-26T20:07:09.4488350Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-08-26T20:07:09.4488620Z            ^
2025-08-26T20:07:09.4489160Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-08-26T20:07:09.4489750Z class TORCH_API MPSStream {
2025-08-26T20:07:09.4489900Z                 ^
2025-08-26T20:07:09.4490040Z       API_AVAILABLE(macos(12.0))
2025-08-26T20:07:12.5263410Z 1 warning generated.
2025-08-26T20:07:12.5374990Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-08-26T20:07:12.5807730Z running install_lib
2025-08-26T20:07:12.5847320Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:07:12.5851790Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:07:12.5854940Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:07:12.5858630Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:07:12.5864400Z running install_egg_info
2025-08-26T20:07:12.5939550Z running egg_info
2025-08-26T20:07:12.5965920Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-26T20:07:12.5970370Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-26T20:07:12.5971540Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-26T20:07:12.5972970Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-26T20:07:12.6005420Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T20:07:12.6009200Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T20:07:12.6010330Z removing './install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it)
2025-08-26T20:07:12.6014430Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-08-26T20:07:12.6023490Z running install_scripts
2025-08-26T20:07:14.3312430Z 
2025-08-26T20:07:14.3312730Z Running tests...
2025-08-26T20:07:14.3312970Z ----------------------------------------------------------------------
2025-08-26T20:07:14.4246920Z .
2025-08-26T20:07:14.4247170Z ----------------------------------------------------------------------
2025-08-26T20:07:14.4247460Z Ran 1 test in 0.093s
2025-08-26T20:07:14.4247570Z 
2025-08-26T20:07:14.4247610Z OK
2025-08-26T20:07:14.4247680Z 
2025-08-26T20:07:14.4247750Z Generating XML reports...
2025-08-26T20:07:14.7609670Z Running test_autoload_enable 1/1 ... [2025-08-26 20:07:14.760823]
2025-08-26T20:07:14.7619110Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-08-26T20:07:14.7619550Z Uploading artifacts took 0.00 seconds
2025-08-26T20:07:16.1749980Z running install
2025-08-26T20:07:16.1750890Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T20:07:16.1751450Z !!
2025-08-26T20:07:16.1751520Z 
2025-08-26T20:07:16.1751610Z         ********************************************************************************
2025-08-26T20:07:16.1751860Z         Please avoid running ``setup.py`` directly.
2025-08-26T20:07:16.1752110Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T20:07:16.1752320Z         standards-based tools.
2025-08-26T20:07:16.1752440Z 
2025-08-26T20:07:16.1752630Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T20:07:16.1752960Z         ********************************************************************************
2025-08-26T20:07:16.1753120Z 
2025-08-26T20:07:16.1753160Z !!
2025-08-26T20:07:16.1753290Z   self.initialize_options()
2025-08-26T20:07:16.1817860Z running build
2025-08-26T20:07:16.1818100Z running build_py
2025-08-26T20:07:16.1848210Z creating build
2025-08-26T20:07:16.1848950Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-08-26T20:07:16.1849590Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-26T20:07:16.1850390Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-26T20:07:16.1885000Z running build_ext
2025-08-26T20:07:16.1892930Z building 'torch_test_cpp_extension.cpp' extension
2025-08-26T20:07:16.1893350Z creating build/temp.macosx-14.0-arm64-cpython-312
2025-08-26T20:07:16.1896400Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-26T20:07:23.2546210Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-08-26T20:07:23.2987050Z building 'torch_test_cpp_extension.maia' extension
2025-08-26T20:07:23.2990090Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c maia_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-26T20:07:30.1259690Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-08-26T20:07:30.1704340Z building 'torch_test_cpp_extension.rng' extension
2025-08-26T20:07:30.1707490Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c rng_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-26T20:07:37.6476590Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-08-26T20:07:37.6906440Z building 'torch_test_cpp_extension.mps' extension
2025-08-26T20:07:37.6909230Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c mps_extension.mm -o build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-08-26T20:07:41.3922710Z In file included from mps_extension.mm:2:
2025-08-26T20:07:41.3923290Z In file included from /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:10:
2025-08-26T20:07:41.3924320Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-08-26T20:07:41.3925220Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-08-26T20:07:41.3925480Z   ^
2025-08-26T20:07:41.3926280Z /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-08-26T20:07:41.3927190Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-08-26T20:07:41.3927920Z            ^
2025-08-26T20:07:41.3928570Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-08-26T20:07:41.3929160Z class TORCH_API MPSStream {
2025-08-26T20:07:41.3929310Z                 ^
2025-08-26T20:07:41.3929450Z       API_AVAILABLE(macos(12.0))
2025-08-26T20:07:44.4761570Z 1 warning generated.
2025-08-26T20:07:44.4877240Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-08-26T20:07:44.5310840Z running install_lib
2025-08-26T20:07:44.5349160Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:07:44.5353500Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:07:44.5356620Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:07:44.5360060Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:07:44.5365870Z running install_egg_info
2025-08-26T20:07:44.5439710Z running egg_info
2025-08-26T20:07:44.5467590Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-26T20:07:44.5472170Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-26T20:07:44.5473260Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-26T20:07:44.5474530Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-26T20:07:44.5505230Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T20:07:44.5508930Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T20:07:44.5509890Z removing './install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it)
2025-08-26T20:07:44.5514620Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-08-26T20:07:44.5523200Z running install_scripts
2025-08-26T20:07:46.2647720Z 
2025-08-26T20:07:46.2648030Z Running tests...
2025-08-26T20:07:46.2648320Z ----------------------------------------------------------------------
2025-08-26T20:07:46.3560960Z .
2025-08-26T20:07:46.3561210Z ----------------------------------------------------------------------
2025-08-26T20:07:46.3561470Z Ran 1 test in 0.091s
2025-08-26T20:07:46.3561570Z 
2025-08-26T20:07:46.3561620Z OK
2025-08-26T20:07:46.3561690Z 
2025-08-26T20:07:46.3561750Z Generating XML reports...
2025-08-26T20:07:46.6882760Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-08-26 20:07:46.688147]
2025-08-26T20:07:48.1448020Z running install
2025-08-26T20:07:48.1448980Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T20:07:48.1449560Z !!
2025-08-26T20:07:48.1449630Z 
2025-08-26T20:07:48.1449940Z         ********************************************************************************
2025-08-26T20:07:48.1450230Z         Please avoid running ``setup.py`` directly.
2025-08-26T20:07:48.1450490Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T20:07:48.1450710Z         standards-based tools.
2025-08-26T20:07:48.1450820Z 
2025-08-26T20:07:48.1451020Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T20:07:48.1451350Z         ********************************************************************************
2025-08-26T20:07:48.1451500Z 
2025-08-26T20:07:48.1451670Z !!
2025-08-26T20:07:48.1451800Z   self.initialize_options()
2025-08-26T20:07:48.1516110Z running build
2025-08-26T20:07:48.1516370Z running build_py
2025-08-26T20:07:48.1546570Z creating build
2025-08-26T20:07:48.1547190Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-08-26T20:07:48.1547900Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-26T20:07:48.1548720Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-26T20:07:48.1552380Z running build_ext
2025-08-26T20:07:48.1868380Z building 'torch_test_cpp_extension.cpp' extension
2025-08-26T20:07:48.1868930Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312
2025-08-26T20:07:55.2686780Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/extension.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-26T20:07:55.2800060Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-08-26T20:07:55.3238580Z building 'torch_test_cpp_extension.maia' extension
2025-08-26T20:08:02.2380040Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/maia_extension.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-26T20:08:02.2418850Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-08-26T20:08:02.2855500Z building 'torch_test_cpp_extension.rng' extension
2025-08-26T20:08:09.8250630Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/rng_extension.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-26T20:08:09.8289980Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-08-26T20:08:09.8723490Z building 'torch_test_cpp_extension.mps' extension
2025-08-26T20:08:16.7548440Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/mps_extension.mm -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-08-26T20:08:16.7551760Z In file included from /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/mps_extension.mm:2:
2025-08-26T20:08:16.7552420Z In file included from /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:10:
2025-08-26T20:08:16.7553390Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-08-26T20:08:16.7554300Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-08-26T20:08:16.7554620Z   ^
2025-08-26T20:08:16.7555410Z /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-08-26T20:08:16.7556320Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-08-26T20:08:16.7556580Z            ^
2025-08-26T20:08:16.7557250Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-08-26T20:08:16.7557850Z class TORCH_API MPSStream {
2025-08-26T20:08:16.7558080Z                 ^
2025-08-26T20:08:16.7558220Z       API_AVAILABLE(macos(12.0))
2025-08-26T20:08:16.7558380Z 1 warning generated.
2025-08-26T20:08:16.7587990Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-08-26T20:08:16.8014520Z running install_lib
2025-08-26T20:08:16.8054010Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:08:16.8058430Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:08:16.8061440Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:08:16.8064860Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-26T20:08:16.8070580Z running install_egg_info
2025-08-26T20:08:16.8144980Z running egg_info
2025-08-26T20:08:16.8171430Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-26T20:08:16.8175690Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-26T20:08:16.8176790Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-26T20:08:16.8178170Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-26T20:08:16.8208760Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T20:08:16.8212490Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-26T20:08:16.8213560Z removing './install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it)
2025-08-26T20:08:16.8217790Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-08-26T20:08:16.8226440Z running install_scripts
2025-08-26T20:08:18.0248920Z running install
2025-08-26T20:08:18.0250460Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-26T20:08:18.0251050Z !!
2025-08-26T20:08:18.0251120Z 
2025-08-26T20:08:18.0251430Z         ********************************************************************************
2025-08-26T20:08:18.0251740Z         Please avoid running ``setup.py`` directly.
2025-08-26T20:08:18.0252000Z         Instead, use pypa/build, pypa/installer or other
2025-08-26T20:08:18.0252220Z         standards-based tools.
2025-08-26T20:08:18.0252330Z 
2025-08-26T20:08:18.0252530Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-26T20:08:18.0252870Z         ********************************************************************************
2025-08-26T20:08:18.0253020Z 
2025-08-26T20:08:18.0253070Z !!
2025-08-26T20:08:18.0253290Z   self.initialize_options()
2025-08-26T20:08:18.0317010Z running build
2025-08-26T20:08:18.0317200Z running build_ext
2025-08-26T20:08:18.0636110Z building 'no_python_abi_suffix_test' extension
2025-08-26T20:08:18.1169440Z ninja: no work to do.
2025-08-26T20:08:18.1204530Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.so
2025-08-26T20:08:18.1611800Z running install_lib
2025-08-26T20:08:18.1647690Z copying build/lib.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages
2025-08-26T20:08:18.1652480Z running install_egg_info
2025-08-26T20:08:18.1731630Z running egg_info
2025-08-26T20:08:18.1758650Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2025-08-26T20:08:18.1763100Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2025-08-26T20:08:18.1764410Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2025-08-26T20:08:18.1793290Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-26T20:08:18.1796680Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-26T20:08:18.1797620Z removing './install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info' (and everything under it)
2025-08-26T20:08:18.1801120Z Copying no_python_abi_suffix_test.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info
2025-08-26T20:08:18.1815160Z running install_scripts
2025-08-26T20:08:18.3882540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:18.3886530Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:18.388533]
2025-08-26T20:08:20.5934330Z 
2025-08-26T20:08:20.5935090Z test_cpp_extensions_aot_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_ninja_1.1_1b21426502eb8bff_.log
2025-08-26T20:08:20.5939950Z Running 21 items in this shard: test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_ninja.py::TestTorchLibrary::test_torch_library
2025-08-26T20:08:20.5944430Z 
2025-08-26T20:08:20.5944590Z Running inductor/test_extension_backend 1/1 ... [2025-08-26 20:08:20.593956]
2025-08-26T20:08:20.5944870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:20.5945640Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_extension_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:20.594203]
2025-08-26T20:08:23.3314610Z 
2025-08-26T20:08:23.3315260Z inductor/test_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_extension_backend_1.1_abe04018e2d79fd5_.log
2025-08-26T20:08:23.3315780Z 
2025-08-26T20:08:23.3318710Z Running inductor/test_pattern_matcher 1/1 ... [2025-08-26 20:08:23.331795]
2025-08-26T20:08:23.3319010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:23.3321640Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:23.332069]
2025-08-26T20:08:25.5713660Z 
2025-08-26T20:08:25.5714320Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_8b26943f5aafb6e9_.log
2025-08-26T20:08:25.5714800Z 
2025-08-26T20:08:25.5717800Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/2 ... [2025-08-26 20:08:25.571691]
2025-08-26T20:08:25.5718170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:25.5720860Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:25.571969]
2025-08-26T20:08:28.1806380Z 
2025-08-26T20:08:28.1807220Z inductor/test_torchinductor_codegen_dynamic_shapes 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.2_6dc3b9f903c0aa68_.log
2025-08-26T20:08:28.1808020Z Running 0 items in this shard:
2025-08-26T20:08:28.1811230Z 
2025-08-26T20:08:28.1811480Z Running inductor/test_split_cat_fx_passes 1/1 ... [2025-08-26 20:08:28.181072]
2025-08-26T20:08:28.1811860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:28.1815560Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_split_cat_fx_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:28.181406]
2025-08-26T20:08:30.4547010Z 
2025-08-26T20:08:30.4547670Z inductor/test_split_cat_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_passes_1.1_4d98e718483ad0a3_.log
2025-08-26T20:08:30.4548160Z 
2025-08-26T20:08:30.4551270Z Running inductor/test_padding 1/1 ... [2025-08-26 20:08:30.455047]
2025-08-26T20:08:30.4551550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:30.4554280Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_padding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:30.455316]
2025-08-26T20:08:32.6888470Z 
2025-08-26T20:08:32.6889030Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_29b7ea0a6ca0e694_.log
2025-08-26T20:08:32.6889480Z 
2025-08-26T20:08:32.6892680Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-08-26 20:08:32.689183]
2025-08-26T20:08:32.6893030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:32.6895690Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:32.689465]
2025-08-26T20:08:34.9114090Z 
2025-08-26T20:08:34.9114790Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_6e052e02417b17f8_.log
2025-08-26T20:08:34.9115370Z 
2025-08-26T20:08:34.9117860Z Running test_dataloader 2/2 ... [2025-08-26 20:08:34.911711]
2025-08-26T20:08:34.9118120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:34.9120770Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_dataloader.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:34.911998]
2025-08-26T20:08:36.9907780Z 
2025-08-26T20:08:36.9908330Z test_dataloader 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_2.2_e86a622c1cf39b94_.log
2025-08-26T20:08:36.9908880Z Running 0 items in this shard:
2025-08-26T20:08:36.9909020Z 
2025-08-26T20:08:36.9912540Z Running test_cuda 1/1 ... [2025-08-26 20:08:36.991193]
2025-08-26T20:08:36.9912820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:36.9915920Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:36.991496]
2025-08-26T20:08:39.5439960Z 
2025-08-26T20:08:39.5440520Z test_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_1.1_d1100149192d36cb_.log
2025-08-26T20:08:39.5447460Z Running 26 items in this shard: test/test_cuda.py::TestCuda::test_cuda_kernel_loop_overflow, test/test_cuda.py::TestCuda::test_cuda_kernel_loop_overflow_large, test/test_cuda.py::TestCuda::test_get_per_process_memory_fraction, test/test_cuda.py::TestCuda::test_graph_cudnn_dropout, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_with_amp_cache_disabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_with_amp_cache_enabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_without_amp_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_without_amp_not_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_with_amp_cache_disabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_with_amp_cache_enabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_without_amp_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_without_amp_not_allow_unused_input, test/test_cuda.py::TestCuda::test_host_memory_stats, test/test_cuda.py::TestCuda::test_huge_index, test/test_cuda.py::TestCuda::test_max_large_axis, test/test_cuda.py::TestCuda::test_out_of_memory_retry, test/test_cuda.py::TestCuda::test_randint_generation_for_large_numel, test/test_cuda.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda.py::TestCuda::test_set_per_process_memory_fraction, test/test_cuda.py::TestCuda::test_to_non_blocking, test/test_cuda.py::TestCudaMallocAsync::test_garbage_collect_expandable, test/test_cuda.py::TestCudaMallocAsync::test_max_split_expandable, test/test_cuda.py::TestMemPool::test_mempool_ctx_multithread, test/test_cuda.py::TestMemPool::test_mempool_empty_cache_inactive, test/test_cuda.py::TestMemPool::test_mempool_limited_memory_with_allocator, test/test_cuda.py::TestCudaAutocast::test_autocast_cache_leak
2025-08-26T20:08:39.5453830Z 
2025-08-26T20:08:39.5454030Z Running higher_order_ops/test_with_effects 1/1 ... [2025-08-26 20:08:39.544467]
2025-08-26T20:08:39.5454410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:39.5455400Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'higher_order_ops/test_with_effects.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:39.544814]
2025-08-26T20:08:41.6936820Z 
2025-08-26T20:08:41.6937870Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_bf56e10089af8121_.log
2025-08-26T20:08:41.6938640Z Running 0 items in this shard:
2025-08-26T20:08:41.6938810Z 
2025-08-26T20:08:41.6942440Z Running functorch/test_aotdispatch 1/3 ... [2025-08-26 20:08:41.694160]
2025-08-26T20:08:41.6942850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:41.6946260Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:41.694500]
2025-08-26T20:08:44.6575340Z 
2025-08-26T20:08:44.6575980Z functorch/test_aotdispatch 1/3 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.3_3bcd9d4cdf0ebb92_.log
2025-08-26T20:08:44.6576520Z Running 0 items in this shard:
2025-08-26T20:08:44.6576650Z 
2025-08-26T20:08:44.6580420Z Running functorch/test_aotdispatch 2/3 ... [2025-08-26 20:08:44.657903]
2025-08-26T20:08:44.6580760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:44.6582610Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:44.658168]
2025-08-26T20:08:47.5707150Z 
2025-08-26T20:08:47.5707800Z functorch/test_aotdispatch 2/3 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_2.3_c87707ffde4b7994_.log
2025-08-26T20:08:47.5708430Z Running 0 items in this shard:
2025-08-26T20:08:47.5708580Z 
2025-08-26T20:08:47.5712150Z Running inductor/test_fused_attention 1/1 ... [2025-08-26 20:08:47.571130]
2025-08-26T20:08:47.5712610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:47.5715760Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:47.571452]
2025-08-26T20:08:49.7940160Z 
2025-08-26T20:08:49.7941020Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_93fac51f02cd9675_.log
2025-08-26T20:08:49.7941510Z 
2025-08-26T20:08:49.7944130Z Running inductor/test_pad_mm 1/1 ... [2025-08-26 20:08:49.794339]
2025-08-26T20:08:49.7944570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:49.7947350Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_pad_mm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:49.794621]
2025-08-26T20:08:52.0263620Z 
2025-08-26T20:08:52.0264180Z inductor/test_pad_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pad_mm_1.1_122cf63c2db4c15f_.log
2025-08-26T20:08:52.0264610Z 
2025-08-26T20:08:52.0267670Z Running inductor/test_b2b_gemm 1/1 ... [2025-08-26 20:08:52.026692]
2025-08-26T20:08:52.0267960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:52.0270760Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:52.026967]
2025-08-26T20:08:54.2489610Z 
2025-08-26T20:08:54.2490250Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_c81d3355f429c082_.log
2025-08-26T20:08:54.2490720Z 
2025-08-26T20:08:54.2493450Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-08-26 20:08:54.249260]
2025-08-26T20:08:54.2493800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:54.2496650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_torchinductor_strided_blocks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:54.249531]
2025-08-26T20:08:56.5789180Z 
2025-08-26T20:08:56.5789880Z inductor/test_torchinductor_strided_blocks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_strided_blocks_1.1_c09b2bd813783454_.log
2025-08-26T20:08:56.5790450Z 
2025-08-26T20:08:56.5793500Z Running inductor/test_move_constructors_to_cuda 1/1 ... [2025-08-26 20:08:56.579270]
2025-08-26T20:08:56.5793840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:56.5796520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_move_constructors_to_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:56.579545]
2025-08-26T20:08:58.8027560Z 
2025-08-26T20:08:58.8028260Z inductor/test_move_constructors_to_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_cuda_1.1_bad50ffc9932f215_.log
2025-08-26T20:08:58.8028790Z 
2025-08-26T20:08:58.8031770Z Running inductor/test_cooperative_reductions 1/1 ... [2025-08-26 20:08:58.803090]
2025-08-26T20:08:58.8032100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:08:58.8035330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:08:58.803383]
2025-08-26T20:09:01.0385800Z 
2025-08-26T20:09:01.0386460Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_0873bfbbd1bcb57d_.log
2025-08-26T20:09:01.0387180Z 
2025-08-26T20:09:01.0389940Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-08-26 20:09:01.038904]
2025-08-26T20:09:01.0390260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:01.0392950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:01.039185]
2025-08-26T20:09:03.2590800Z 
2025-08-26T20:09:03.2591480Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_738130dbcb58ea70_.log
2025-08-26T20:09:03.2592030Z 
2025-08-26T20:09:03.2594920Z Running inductor/test_triton_heuristics 1/1 ... [2025-08-26 20:09:03.259407]
2025-08-26T20:09:03.2595250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:03.2598030Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_triton_heuristics.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:03.259689]
2025-08-26T20:09:05.4771850Z 
2025-08-26T20:09:05.4772520Z inductor/test_triton_heuristics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_heuristics_1.1_a58c82b823e76182_.log
2025-08-26T20:09:05.4773010Z 
2025-08-26T20:09:05.4776220Z Running inductor/test_select_algorithm 1/1 ... [2025-08-26 20:09:05.477542]
2025-08-26T20:09:05.4776530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:05.4779220Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:05.477814]
2025-08-26T20:09:07.7108580Z 
2025-08-26T20:09:07.7109230Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_a9b0ac7b0480c0e2_.log
2025-08-26T20:09:07.7109760Z 
2025-08-26T20:09:07.7112730Z Running inductor/test_op_dtype_prop 1/1 ... [2025-08-26 20:09:07.711196]
2025-08-26T20:09:07.7113040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:07.7115630Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_op_dtype_prop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:07.711460]
2025-08-26T20:09:10.5085680Z 
2025-08-26T20:09:10.5086350Z inductor/test_op_dtype_prop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.1_61b5972640eab843_.log
2025-08-26T20:09:10.5086810Z 
2025-08-26T20:09:10.5089760Z Running inductor/test_custom_post_grad_passes 1/1 ... [2025-08-26 20:09:10.508894]
2025-08-26T20:09:10.5090090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:10.5093250Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_custom_post_grad_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:10.509172]
2025-08-26T20:09:12.7504110Z 
2025-08-26T20:09:12.7504820Z inductor/test_custom_post_grad_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_post_grad_passes_1.1_3adae4c13c0ac53a_.log
2025-08-26T20:09:12.7505370Z 
2025-08-26T20:09:12.7508590Z Running inductor/test_graph_transform_observer 1/1 ... [2025-08-26 20:09:12.750760]
2025-08-26T20:09:12.7508930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:12.7511800Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_graph_transform_observer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:12.751054]
2025-08-26T20:09:14.9698040Z 
2025-08-26T20:09:14.9700850Z inductor/test_graph_transform_observer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_graph_transform_observer_1.1_50f6635ec2e2a6a0_.log
2025-08-26T20:09:14.9701360Z 
2025-08-26T20:09:14.9702280Z Running inductor/test_scatter_optimization 1/1 ... [2025-08-26 20:09:14.970176]
2025-08-26T20:09:14.9702600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:14.9708230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_scatter_optimization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:14.970457]
2025-08-26T20:09:17.1838150Z 
2025-08-26T20:09:17.1838840Z inductor/test_scatter_optimization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_scatter_optimization_1.1_c51436aec783c800_.log
2025-08-26T20:09:17.1839390Z 
2025-08-26T20:09:17.1842420Z Running inductor/test_mkldnn_pattern_matcher 1/1 ... [2025-08-26 20:09:17.184160]
2025-08-26T20:09:17.1842750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:17.1845700Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:17.184437]
2025-08-26T20:09:19.4628790Z 
2025-08-26T20:09:19.4629470Z inductor/test_mkldnn_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.1_4eda284ff03baa07_.log
2025-08-26T20:09:19.4630000Z 
2025-08-26T20:09:19.4632980Z Running inductor/test_binary_folding 1/1 ... [2025-08-26 20:09:19.463218]
2025-08-26T20:09:19.4633300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:19.4636220Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_binary_folding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:19.463494]
2025-08-26T20:09:21.8398360Z 
2025-08-26T20:09:21.8399010Z inductor/test_binary_folding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_binary_folding_1.1_590bf24179766536_.log
2025-08-26T20:09:21.8399590Z Running 0 items in this shard:
2025-08-26T20:09:21.8399720Z 
2025-08-26T20:09:21.8402850Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2025-08-26 20:09:21.840205]
2025-08-26T20:09:21.8403170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:21.8406410Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:21.840486]
2025-08-26T20:09:24.2264340Z 
2025-08-26T20:09:24.2265060Z inductor/test_efficient_conv_bn_eval 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_efficient_conv_bn_eval_1.1_f01c4d0baa5c9fea_.log
2025-08-26T20:09:24.2265840Z Running 0 items in this shard:
2025-08-26T20:09:24.2265970Z 
2025-08-26T20:09:24.2268700Z Running dynamo/test_torchrec 1/1 ... [2025-08-26 20:09:24.226795]
2025-08-26T20:09:24.2269100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:24.2271850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:24.227070]
2025-08-26T20:09:26.0617620Z 
2025-08-26T20:09:26.0618230Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_33383483c75742f3_.log
2025-08-26T20:09:26.0618740Z Running 0 items in this shard:
2025-08-26T20:09:26.0618860Z 
2025-08-26T20:09:26.0621560Z Running test_decomp 2/5 ... [2025-08-26 20:09:26.062111]
2025-08-26T20:09:26.0621850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:26.0625000Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:26.062417]
2025-08-26T20:09:29.3604220Z 
2025-08-26T20:09:29.3604790Z test_decomp 2/5 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_2.5_7f2e9e12376c6124_.log
2025-08-26T20:09:29.3605310Z Running 0 items in this shard:
2025-08-26T20:09:29.3605450Z 
2025-08-26T20:09:29.3608900Z Running test_decomp 4/5 ... [2025-08-26 20:09:29.360826]
2025-08-26T20:09:29.3609200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:29.3612230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=4', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:29.361117]
2025-08-26T20:09:32.6769600Z 
2025-08-26T20:09:32.6770130Z test_decomp 4/5 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_4.5_fc05a07c4281b780_.log
2025-08-26T20:09:32.6770630Z Running 0 items in this shard:
2025-08-26T20:09:32.6770770Z 
2025-08-26T20:09:32.6774250Z Running test_decomp 5/5 ... [2025-08-26 20:09:32.677362]
2025-08-26T20:09:32.6774520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:32.6777790Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:32.677678]
2025-08-26T20:09:35.9931840Z 
2025-08-26T20:09:35.9932510Z test_decomp 5/5 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_5.5_11fd12a76ad5fe15_.log
2025-08-26T20:09:35.9933070Z Running 0 items in this shard:
2025-08-26T20:09:35.9933230Z 
2025-08-26T20:09:35.9937060Z Running functorch/test_ops 2/2 ... [2025-08-26 20:09:35.993634]
2025-08-26T20:09:35.9937400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:35.9941110Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:35.993975]
2025-08-26T20:09:39.4823470Z 
2025-08-26T20:09:39.4824090Z functorch/test_ops 2/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_2.2_80b3c420b53ba05a_.log
2025-08-26T20:09:39.4824640Z Running 0 items in this shard:
2025-08-26T20:09:39.4824790Z 
2025-08-26T20:09:39.4828420Z Running test_openmp 1/1 ... [2025-08-26 20:09:39.482755]
2025-08-26T20:09:39.4828720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:39.4831800Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_openmp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:39.483076]
2025-08-26T20:09:41.2552640Z 
2025-08-26T20:09:41.2553220Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_845ebd4cff69d474_.log
2025-08-26T20:09:41.2553880Z Running 0 items in this shard:
2025-08-26T20:09:41.2554030Z 
2025-08-26T20:09:41.2556820Z Running test_fx_experimental 1/1 ... [2025-08-26 20:09:41.255613]
2025-08-26T20:09:41.2557110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:41.2559520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_fx_experimental.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:41.255872]
2025-08-26T20:09:43.8714200Z 
2025-08-26T20:09:43.8714850Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_e50c2db5f9856832_.log
2025-08-26T20:09:43.8715480Z Running 0 items in this shard:
2025-08-26T20:09:43.8715640Z 
2025-08-26T20:09:43.8719200Z Running test_binary_ufuncs 1/1 ... [2025-08-26 20:09:43.871852]
2025-08-26T20:09:43.8719550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:43.8722960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_binary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:43.872183]
2025-08-26T20:09:47.4363600Z 
2025-08-26T20:09:47.4364280Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_bee75cad8ef539b8_.log
2025-08-26T20:09:47.4364910Z Running 0 items in this shard:
2025-08-26T20:09:47.4365070Z 
2025-08-26T20:09:47.4368770Z Running torch_np/test_nep50_examples 1/1 ... [2025-08-26 20:09:47.436804]
2025-08-26T20:09:47.4369150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:47.4372650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/test_nep50_examples.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:47.437136]
2025-08-26T20:09:49.3316660Z 
2025-08-26T20:09:49.3317330Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_76dfcd4ce9a04255_.log
2025-08-26T20:09:49.3317870Z Running 0 items in this shard:
2025-08-26T20:09:49.3318000Z 
2025-08-26T20:09:49.3321080Z Running test_module_tracker 1/1 ... [2025-08-26 20:09:49.332016]
2025-08-26T20:09:49.3321370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:49.3324180Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_module_tracker.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:49.332289]
2025-08-26T20:09:51.1048360Z 
2025-08-26T20:09:51.1048970Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_2b1d89c7e85c1fc5_.log
2025-08-26T20:09:51.1049570Z Running 0 items in this shard:
2025-08-26T20:09:51.1049710Z 
2025-08-26T20:09:51.1053250Z Running test_ops 1/3 ... [2025-08-26 20:09:51.105258]
2025-08-26T20:09:51.1053740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:51.1056830Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:51.105579]
2025-08-26T20:09:56.9430110Z 
2025-08-26T20:09:56.9430610Z test_ops 1/3 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.3_351c3049a4d16462_.log
2025-08-26T20:09:56.9431040Z Running 0 items in this shard:
2025-08-26T20:09:56.9431170Z 
2025-08-26T20:09:56.9434300Z Running test_ops 2/3 ... [2025-08-26 20:09:56.943369]
2025-08-26T20:09:56.9434550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:09:56.9437460Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:09:56.943650]
2025-08-26T20:10:02.8275880Z 
2025-08-26T20:10:02.8276410Z test_ops 2/3 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_2.3_49d6de42b3d522b5_.log
2025-08-26T20:10:02.8276910Z Running 0 items in this shard:
2025-08-26T20:10:02.8277060Z 
2025-08-26T20:10:02.8280560Z Running test_jiterator 1/1 ... [2025-08-26 20:10:02.827985]
2025-08-26T20:10:02.8280870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:02.8284230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_jiterator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:02.828318]
2025-08-26T20:10:04.6888940Z 
2025-08-26T20:10:04.6889540Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_e9c1f53ec1b202d8_.log
2025-08-26T20:10:04.6890010Z Running 0 items in this shard:
2025-08-26T20:10:04.6890140Z 
2025-08-26T20:10:04.6893250Z Running functorch/test_ac 1/1 ... [2025-08-26 20:10:04.689255]
2025-08-26T20:10:04.6893530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:04.6896290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:04.689522]
2025-08-26T20:10:06.9116870Z 
2025-08-26T20:10:06.9117410Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_8390c8331bee7864_.log
2025-08-26T20:10:06.9117830Z 
2025-08-26T20:10:06.9120900Z Running test_cuda_sanitizer 1/1 ... [2025-08-26 20:10:06.912016]
2025-08-26T20:10:06.9121170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:06.9124380Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:06.912301]
2025-08-26T20:10:08.6547410Z 
2025-08-26T20:10:08.6547910Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_66da700530965466_.log
2025-08-26T20:10:08.6548390Z Running 0 items in this shard:
2025-08-26T20:10:08.6548520Z 
2025-08-26T20:10:08.6551640Z Running dynamo/test_nested_graph_breaks 1/1 ... [2025-08-26 20:10:08.655103]
2025-08-26T20:10:08.6551940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:08.6555360Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'dynamo/test_nested_graph_breaks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:08.655392]
2025-08-26T20:10:10.4786770Z 
2025-08-26T20:10:10.4787460Z dynamo/test_nested_graph_breaks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nested_graph_breaks_1.1_ff740a3c9f7377f7_.log
2025-08-26T20:10:10.4788020Z Running 0 items in this shard:
2025-08-26T20:10:10.4788150Z 
2025-08-26T20:10:10.4791210Z Running test_functional_optim 1/1 ... [2025-08-26 20:10:10.479040]
2025-08-26T20:10:10.4791500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:10.4794250Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_functional_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:10.479318]
2025-08-26T20:10:12.2504870Z 
2025-08-26T20:10:12.2505580Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_605e6e75a56d14f3_.log
2025-08-26T20:10:12.2506090Z Running 0 items in this shard:
2025-08-26T20:10:12.2506220Z 
2025-08-26T20:10:12.2509350Z Running profiler/test_execution_trace 1/1 ... [2025-08-26 20:10:12.250875]
2025-08-26T20:10:12.2509660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:12.2512460Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'profiler/test_execution_trace.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:12.251141]
2025-08-26T20:10:14.1377220Z 
2025-08-26T20:10:14.1377870Z profiler/test_execution_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_execution_trace_1.1_a32a000538dcf31a_.log
2025-08-26T20:10:14.1378470Z Running 0 items in this shard:
2025-08-26T20:10:14.1378610Z 
2025-08-26T20:10:14.1381620Z Running test_futures 1/1 ... [2025-08-26 20:10:14.138108]
2025-08-26T20:10:14.1381880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:14.1384890Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_futures.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:14.138394]
2025-08-26T20:10:15.8944680Z 
2025-08-26T20:10:15.8945160Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_598432e81511de4c_.log
2025-08-26T20:10:15.8945610Z Running 0 items in this shard:
2025-08-26T20:10:15.8945740Z 
2025-08-26T20:10:15.8949310Z Running test_linalg 1/1 ... [2025-08-26 20:10:15.894868]
2025-08-26T20:10:15.8949560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:15.8952510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_linalg.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:15.895153]
2025-08-26T20:10:18.2120140Z 
2025-08-26T20:10:18.2120680Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_01bde8cedb3c7191_.log
2025-08-26T20:10:18.2121850Z Running 4 items in this shard: test/test_linalg.py::TestLinalgCPU::test_svd_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_float64
2025-08-26T20:10:18.2122630Z 
2025-08-26T20:10:18.2125270Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2025-08-26 20:10:18.212438]
2025-08-26T20:10:18.2125650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:18.2128770Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'benchmark_utils/test_benchmark_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:18.212752]
2025-08-26T20:10:19.9818400Z 
2025-08-26T20:10:19.9819090Z benchmark_utils/test_benchmark_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/benchmark_utils.test_benchmark_utils_1.1_c644b76a84e62ba9_.log
2025-08-26T20:10:19.9819670Z Running 0 items in this shard:
2025-08-26T20:10:19.9819800Z 
2025-08-26T20:10:19.9822910Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-08-26 20:10:19.982222]
2025-08-26T20:10:19.9823250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:19.9826210Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarmath.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:19.982508]
2025-08-26T20:10:21.8097840Z 
2025-08-26T20:10:21.8098710Z torch_np/numpy_tests/core/test_scalarmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_2d6192d5fb0c190a_.log
2025-08-26T20:10:21.8099550Z Running 0 items in this shard:
2025-08-26T20:10:21.8099730Z 
2025-08-26T20:10:21.8103370Z Running test_vulkan 1/1 ... [2025-08-26 20:10:21.810269]
2025-08-26T20:10:21.8103700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:21.8107590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_vulkan.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:21.810639]
2025-08-26T20:10:23.5581170Z 
2025-08-26T20:10:23.5581680Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_6090a951a5fd4f37_.log
2025-08-26T20:10:23.5582150Z Running 0 items in this shard:
2025-08-26T20:10:23.5582280Z 
2025-08-26T20:10:23.5585450Z Running nn/test_load_state_dict 1/1 ... [2025-08-26 20:10:23.558486]
2025-08-26T20:10:23.5585720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:23.5588520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'nn/test_load_state_dict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:23.558764]
2025-08-26T20:10:25.4290830Z 
2025-08-26T20:10:25.4291440Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_6efb69022fa47aa3_.log
2025-08-26T20:10:25.4291940Z Running 0 items in this shard:
2025-08-26T20:10:25.4292080Z 
2025-08-26T20:10:25.4294890Z Running test_indexing 1/1 ... [2025-08-26 20:10:25.429436]
2025-08-26T20:10:25.4295160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:25.4298170Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:25.429720]
2025-08-26T20:10:28.1894750Z 
2025-08-26T20:10:28.1895640Z test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_indexing_1.1_d659feb73359f201_.log
2025-08-26T20:10:28.1896700Z Running 2 items in this shard: test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_large_tensor_cpu, test/test_indexing.py::TestIndexingMPS::test_index_put_accumulate_large_tensor_mps
2025-08-26T20:10:28.1897310Z 
2025-08-26T20:10:28.1899540Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-08-26 20:10:28.189886]
2025-08-26T20:10:28.1899870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:28.1903500Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:28.190190]
2025-08-26T20:10:30.0254590Z 
2025-08-26T20:10:30.0255290Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_79d2b0673d91db91_.log
2025-08-26T20:10:30.0256010Z Running 0 items in this shard:
2025-08-26T20:10:30.0256160Z 
2025-08-26T20:10:30.0259610Z Running test_shape_ops 1/1 ... [2025-08-26 20:10:30.025900]
2025-08-26T20:10:30.0259910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:30.0263240Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_shape_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:30.026218]
2025-08-26T20:10:31.8912260Z 
2025-08-26T20:10:31.8912810Z test_shape_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_shape_ops_1.1_d1e732e93efd4b5c_.log
2025-08-26T20:10:31.8913280Z Running 0 items in this shard:
2025-08-26T20:10:31.8913410Z 
2025-08-26T20:10:31.8916480Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-08-26 20:10:31.891570]
2025-08-26T20:10:31.8916820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:31.8919440Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dtype.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:31.891835]
2025-08-26T20:10:33.6779860Z 
2025-08-26T20:10:33.6780540Z torch_np/numpy_tests/core/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_3c76d29e3e1a6a0b_.log
2025-08-26T20:10:33.6781180Z Running 0 items in this shard:
2025-08-26T20:10:33.6781320Z 
2025-08-26T20:10:33.6784640Z Running nn/test_module_hooks 1/1 ... [2025-08-26 20:10:33.678406]
2025-08-26T20:10:33.6784940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:33.6788080Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'nn/test_module_hooks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:33.678713]
2025-08-26T20:10:35.5636060Z 
2025-08-26T20:10:35.5636890Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_edd93bc2d1b2e537_.log
2025-08-26T20:10:35.5637480Z Running 0 items in this shard:
2025-08-26T20:10:35.5637610Z 
2025-08-26T20:10:35.5640370Z Running test_dynamic_shapes 1/1 ... [2025-08-26 20:10:35.563982]
2025-08-26T20:10:35.5640650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:35.5643370Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:35.564245]
2025-08-26T20:10:37.4537030Z 
2025-08-26T20:10:37.4537790Z test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dynamic_shapes_1.1_241d0fcefcf69e95_.log
2025-08-26T20:10:37.4538520Z Running 0 items in this shard:
2025-08-26T20:10:37.4538650Z 
2025-08-26T20:10:37.4541170Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-08-26 20:10:37.454043]
2025-08-26T20:10:37.4541510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:37.4544290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_twodim_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:37.454306]
2025-08-26T20:10:39.2359980Z 
2025-08-26T20:10:39.2360630Z torch_np/numpy_tests/lib/test_twodim_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_841aa8559f007fbc_.log
2025-08-26T20:10:39.2361220Z Running 0 items in this shard:
2025-08-26T20:10:39.2361350Z 
2025-08-26T20:10:39.2364150Z Running test_jit_llga_fuser 1/1 ... [2025-08-26 20:10:39.236363]
2025-08-26T20:10:39.2364410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:39.2367130Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_jit_llga_fuser.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:39.236618]
2025-08-26T20:10:41.1289330Z 
2025-08-26T20:10:41.1289850Z test_jit_llga_fuser 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_llga_fuser_1.1_6f39644fc45eb692_.log
2025-08-26T20:10:41.1290340Z Running 0 items in this shard:
2025-08-26T20:10:41.1290470Z 
2025-08-26T20:10:41.1293560Z Running test_type_info 1/1 ... [2025-08-26 20:10:41.129299]
2025-08-26T20:10:41.1293820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:41.1296850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_type_info.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:41.129588]
2025-08-26T20:10:42.9040220Z 
2025-08-26T20:10:42.9040820Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_b9143ee2de47855c_.log
2025-08-26T20:10:42.9041350Z Running 0 items in this shard:
2025-08-26T20:10:42.9041500Z 
2025-08-26T20:10:42.9044960Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-08-26 20:10:42.904428]
2025-08-26T20:10:42.9045340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:42.9048510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:42.904727]
2025-08-26T20:10:44.7456500Z 
2025-08-26T20:10:44.7457360Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_66a4364db964fd5f_.log
2025-08-26T20:10:44.7458070Z Running 0 items in this shard:
2025-08-26T20:10:44.7458210Z 
2025-08-26T20:10:44.7460940Z Running test_serialization 1/1 ... [2025-08-26 20:10:44.746037]
2025-08-26T20:10:44.7461230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:44.7464510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_serialization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:44.746346]
2025-08-26T20:10:58.3587290Z 
2025-08-26T20:10:58.3596500Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_3cc7ead444e78fe6_.log
2025-08-26T20:10:58.3598050Z Running 2 items in this shard: test/test_serialization.py::TestSerialization::test_serialization_2gb_file, test/test_serialization.py::TestSerialization::test_serialization_4gb_file
2025-08-26T20:10:58.3598700Z 
2025-08-26T20:10:58.3612090Z Running test_sparse_csr 1/1 ... [2025-08-26 20:10:58.359362]
2025-08-26T20:10:58.3612500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:10:58.3613550Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_sparse_csr.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:10:58.359913]
2025-08-26T20:11:04.1594600Z 
2025-08-26T20:11:04.1595210Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_ff8e3a6881b02976_.log
2025-08-26T20:11:04.1595970Z Running 0 items in this shard:
2025-08-26T20:11:04.1596140Z 
2025-08-26T20:11:04.1600430Z Running lazy/test_generator 1/1 ... [2025-08-26 20:11:04.159963]
2025-08-26T20:11:04.1600920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:04.1604620Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'lazy/test_generator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:04.160340]
2025-08-26T20:11:05.9190400Z 
2025-08-26T20:11:05.9191060Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_b95efd5a177d3107_.log
2025-08-26T20:11:05.9191630Z Running 0 items in this shard:
2025-08-26T20:11:05.9191760Z 
2025-08-26T20:11:05.9194770Z Running lazy/test_debug_util 1/1 ... [2025-08-26 20:11:05.919417]
2025-08-26T20:11:05.9195110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:05.9197930Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'lazy/test_debug_util.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:05.919694]
2025-08-26T20:11:07.6662940Z 
2025-08-26T20:11:07.6663580Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_847a2326513c9d10_.log
2025-08-26T20:11:07.6664210Z Running 0 items in this shard:
2025-08-26T20:11:07.6664350Z 
2025-08-26T20:11:07.6667470Z Running test_numa_binding 1/1 ... [2025-08-26 20:11:07.666679]
2025-08-26T20:11:07.6667800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:07.6679340Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_numa_binding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:07.666957]
2025-08-26T20:11:09.4305140Z 
2025-08-26T20:11:09.4305730Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_751aa426ab4d9322_.log
2025-08-26T20:11:09.4306300Z Running 0 items in this shard:
2025-08-26T20:11:09.4306460Z 
2025-08-26T20:11:09.4309530Z Running test_view_ops 1/1 ... [2025-08-26 20:11:09.430896]
2025-08-26T20:11:09.4309820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:09.4320270Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_view_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:09.431183]
2025-08-26T20:11:11.3582610Z 
2025-08-26T20:11:11.3583310Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_9c6371141be76842_.log
2025-08-26T20:11:11.3583900Z Running 0 items in this shard:
2025-08-26T20:11:11.3584070Z 
2025-08-26T20:11:11.3587470Z Running torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-08-26 20:11:11.358668]
2025-08-26T20:11:11.3587880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:11.3591090Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_pocketfft.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:11.358987]
2025-08-26T20:11:13.1037550Z 
2025-08-26T20:11:13.1038210Z torch_np/numpy_tests/fft/test_pocketfft 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_13c829baedef9d20_.log
2025-08-26T20:11:13.1038940Z Running 0 items in this shard:
2025-08-26T20:11:13.1039110Z 
2025-08-26T20:11:13.1041930Z Running torch_np/test_ndarray_methods 1/1 ... [2025-08-26 20:11:13.104126]
2025-08-26T20:11:13.1042240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:13.1044790Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/test_ndarray_methods.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:13.104395]
2025-08-26T20:11:14.8629420Z 
2025-08-26T20:11:14.8630090Z torch_np/test_ndarray_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ndarray_methods_1.1_29bd5dbff2fb457c_.log
2025-08-26T20:11:14.8630690Z Running 0 items in this shard:
2025-08-26T20:11:14.8630830Z 
2025-08-26T20:11:14.8633510Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-08-26 20:11:14.863293]
2025-08-26T20:11:14.8633880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:14.8636590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_shape_base_.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:14.863560]
2025-08-26T20:11:16.6322270Z 
2025-08-26T20:11:16.6323090Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_73b7282292c8d466_.log
2025-08-26T20:11:16.6323790Z Running 0 items in this shard:
2025-08-26T20:11:16.6323980Z 
2025-08-26T20:11:16.6326880Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-08-26 20:11:16.632616]
2025-08-26T20:11:16.6327320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:16.6330340Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/core/test_getlimits.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:16.632897]
2025-08-26T20:11:18.3781230Z 
2025-08-26T20:11:18.3782010Z torch_np/numpy_tests/core/test_getlimits 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_967cc159eaf7e47d_.log
2025-08-26T20:11:18.3782660Z Running 0 items in this shard:
2025-08-26T20:11:18.3782790Z 
2025-08-26T20:11:18.3785570Z Running test_scatter_gather_ops 1/1 ... [2025-08-26 20:11:18.378480]
2025-08-26T20:11:18.3785920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:18.3788700Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_scatter_gather_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:18.378754]
2025-08-26T20:11:20.2297010Z 
2025-08-26T20:11:20.2297630Z test_scatter_gather_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scatter_gather_ops_1.1_d2bd1f0f6d9492eb_.log
2025-08-26T20:11:20.2298150Z Running 0 items in this shard:
2025-08-26T20:11:20.2298300Z 
2025-08-26T20:11:20.2301060Z Running functorch/test_vmap 1/1 ... [2025-08-26 20:11:20.230051]
2025-08-26T20:11:20.2301400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:20.2304160Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:20.230321]
2025-08-26T20:11:22.9981650Z 
2025-08-26T20:11:22.9982210Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_5a142361d27b5b8e_.log
2025-08-26T20:11:22.9982780Z Running 0 items in this shard:
2025-08-26T20:11:22.9982940Z 
2025-08-26T20:11:25.3910040Z Running inductor/test_extension_backend 1/1 ... [2025-08-26 20:11:25.390791]
2025-08-26T20:11:25.3910900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:25.3911250Z Running inductor/test_pattern_matcher 1/1 ... [2025-08-26 20:11:25.390837]
2025-08-26T20:11:25.3911590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:25.3911980Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/2 ... [2025-08-26 20:11:25.390871]
2025-08-26T20:11:25.3912390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:25.3913250Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_extension_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:25.391095]
2025-08-26T20:11:25.3914820Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:25.391127]
2025-08-26T20:11:25.3916430Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:25.391182]
2025-08-26T20:11:28.3193520Z 
2025-08-26T20:11:28.3194200Z inductor/test_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_extension_backend_1.1_86b358ef96181d6e_.log
2025-08-26T20:11:28.3195020Z 
2025-08-26T20:11:28.5002500Z 
2025-08-26T20:11:28.5003360Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_cd7986b0f195174e_.log
2025-08-26T20:11:28.5003890Z 
2025-08-26T20:11:30.7041910Z Running inductor/test_split_cat_fx_passes 1/1 ... [2025-08-26 20:11:30.704025]
2025-08-26T20:11:30.7042340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:30.7045020Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_split_cat_fx_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:30.704315]
2025-08-26T20:11:30.8203250Z Running inductor/test_padding 1/1 ... [2025-08-26 20:11:30.820161]
2025-08-26T20:11:30.8203610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:30.8206850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_padding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:30.820557]
2025-08-26T20:11:33.6491420Z 
2025-08-26T20:11:33.6492120Z inductor/test_split_cat_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_passes_1.1_dd52f38a008b2b4d_.log
2025-08-26T20:11:33.6492640Z 
2025-08-26T20:11:33.7779710Z 
2025-08-26T20:11:33.7781440Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_4bdb6f9f04ec339a_.log
2025-08-26T20:11:33.7782320Z 
2025-08-26T20:11:36.0286590Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-08-26 20:11:36.028407]
2025-08-26T20:11:36.0287560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:36.0289460Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:36.028699]
2025-08-26T20:11:36.0380850Z Running test_dataloader 2/2 ... [2025-08-26 20:11:36.037965]
2025-08-26T20:11:36.0381160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:36.0383610Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_dataloader.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:36.038240]
2025-08-26T20:11:39.1767980Z 
2025-08-26T20:11:39.1771550Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_7fe4490e787764cc_.log
2025-08-26T20:11:39.1773100Z 
2025-08-26T20:11:42.5578680Z Running test_cuda 1/1 ... [2025-08-26 20:11:42.557700]
2025-08-26T20:11:42.5579560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:42.5581670Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:42.557981]
2025-08-26T20:11:47.1515660Z 
2025-08-26T20:11:47.1522710Z test_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_1.1_e172f5d8df4c8c31_.log
2025-08-26T20:11:47.1642380Z Running 214 items in this shard: test/test_cuda.py::TestCuda::test_arithmetic_large_tensor, test/test_cuda.py::TestCuda::test_batch_norm_gather_stats, test/test_cuda.py::TestCuda::test_bincount_ext, test/test_cuda.py::TestCuda::test_caching_allocator_record_stream_oom, test/test_cuda.py::TestCuda::test_caching_pinned_memory, test/test_cuda.py::TestCuda::test_check_error, test/test_cuda.py::TestCuda::test_copy_non_blocking, test/test_cuda.py::TestCuda::test_copy_non_blocking_type_conversion, test/test_cuda.py::TestCuda::test_cublas_allow_bf16_reduced_precision_reduction_get_set, test/test_cuda.py::TestCuda::test_cublas_allow_fp16_accumulation_get_set, test/test_cuda.py::TestCuda::test_cublas_allow_fp16_reduced_precision_reduction_get_set, test/test_cuda.py::TestCuda::test_cublas_allow_tf32_get_set, test/test_cuda.py::TestCuda::test_cublas_multiple_threads_same_device, test/test_cuda.py::TestCuda::test_cublas_workspace_explicit_allocation, test/test_cuda.py::TestCuda::test_cuda_get_device_capability, test/test_cuda.py::TestCuda::test_cuda_get_device_name, test/test_cuda.py::TestCuda::test_cuda_get_device_properties, test/test_cuda.py::TestCuda::test_cuda_graph_allocator_propagates_stream, test/test_cuda.py::TestCuda::test_cuda_graph_error_options, test/test_cuda.py::TestCuda::test_cuda_graph_raw_graph, test/test_cuda.py::TestCuda::test_cuda_graph_raw_graph_exec_keep_graph_False, test/test_cuda.py::TestCuda::test_cuda_graph_raw_graph_exec_keep_graph_True, test/test_cuda.py::TestCuda::test_cuda_graph_raw_graph_keep_graph_false, test/test_cuda.py::TestCuda::test_cuda_graph_raw_graph_reset_and_recapture, test/test_cuda.py::TestCuda::test_cuda_graph_tensor_item_not_allowed, test/test_cuda.py::TestCuda::test_cuda_memory_leak_detection_propagates_errors, test/test_cuda.py::TestCuda::test_cudart_register, test/test_cuda.py::TestCuda::test_cudnn_allow_tf32_get_set, test/test_cuda.py::TestCuda::test_cudnn_multiple_threads_same_device, test/test_cuda.py::TestCuda::test_cusparse_multiple_threads_same_device, test/test_cuda.py::TestCuda::test_device_context_manager, test/test_cuda.py::TestCuda::test_device_count_not_cached_pre_init, test/test_cuda.py::TestCuda::test_events, test/test_cuda.py::TestCuda::test_events_elapsedtime, test/test_cuda.py::TestCuda::test_fixed_cuda_assert_async, test/test_cuda.py::TestCuda::test_float32_matmul_precision_get_set, test/test_cuda.py::TestCuda::test_fp32_precision_with_float32_matmul_precision, test/test_cuda.py::TestCuda::test_fp32_precision_with_tf32, test/test_cuda.py::TestCuda::test_gather_bool, test/test_cuda.py::TestCuda::test_gds_fails_in_ci, test/test_cuda.py::TestCuda::test_generic_stream_event, test/test_cuda.py::TestCuda::test_get_device_index, test/test_cuda.py::TestCuda::test_graph_capture_oom, test/test_cuda.py::TestCuda::test_graph_capture_reset_recapture, test/test_cuda.py::TestCuda::test_graph_capture_simple, test/test_cuda.py::TestCuda::test_graph_concurrent_replay, test/test_cuda.py::TestCuda::test_graph_debugdump, test/test_cuda.py::TestCuda::test_graph_error, test/test_cuda.py::TestCuda::test_graph_is_current_stream_capturing, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_same_pool, test/test_cuda.py::TestCuda::test_graph_memory_stats_and_use_result_after_destroy_graph, test/test_cuda.py::TestCuda::test_graph_optims_with_explicitly_capturable_param_groups, test/test_cuda.py::TestCuda::test_graph_record_stream, test/test_cuda.py::TestCuda::test_graph_rng_distributions, test/test_cuda.py::TestCuda::test_graph_rng_functional, test/test_cuda.py::TestCuda::test_graph_three_successive, test/test_cuda.py::TestCuda::test_graph_timing, test/test_cuda.py::TestCuda::test_graph_two_successive, test/test_cuda.py::TestCuda::test_graph_warn_if_has_zero_nodes, test/test_cuda.py::TestCuda::test_graphsafe_set_get_rng_state, test/test_cuda.py::TestCuda::test_hip_device_count, test/test_cuda.py::TestCuda::test_hipblaslt_allow_tf32, test/test_cuda.py::TestCuda::test_index_out_of_bounds_exception_cuda, test/test_cuda.py::TestCuda::test_invalid_status_for_legacy_api, test/test_cuda.py::TestCuda::test_is_pinned_no_context, test/test_cuda.py::TestCuda::test_lazy_init, test/test_cuda.py::TestCuda::test_manual_seed, test/test_cuda.py::TestCuda::test_matmul_device_mismatch, test/test_cuda.py::TestCuda::test_matmul_memory_use, test/test_cuda.py::TestCuda::test_mean_fp16, test/test_cuda.py::TestCuda::test_memory_allocation, test/test_cuda.py::TestCuda::test_memory_stats, test/test_cuda.py::TestCuda::test_memory_stats_of_multiple_generators_and_graphs, test/test_cuda.py::TestCuda::test_min_max_inits, test/test_cuda.py::TestCuda::test_multi_device_context_manager, test/test_cuda.py::TestCuda::test_multi_device_stream_context_manager, test/test_cuda.py::TestCuda::test_multinomial_ext, test/test_cuda.py::TestCuda::test_multinomial_invalid_probs_cuda, test/test_cuda.py::TestCuda::test_noncontiguous_pinned_memory, test/test_cuda.py::TestCuda::test_norm_type_conversion, test/test_cuda.py::TestCuda::test_nvtx, test/test_cuda.py::TestCuda::test_out_of_memory, test/test_cuda.py::TestCuda::test_pinned_memory_empty_cache, test/test_cuda.py::TestCuda::test_pinned_memory_use_background_threads, test/test_cuda.py::TestCuda::test_pinned_memory_with_cudaregister, test/test_cuda.py::TestCuda::test_pinned_memory_with_cudaregister_multithread, test/test_cuda.py::TestCuda::test_preferred_blas_library_settings, test/test_cuda.py::TestCuda::test_prod_large, test/test_cuda.py::TestCuda::test_randint_randomness_for_large_range, test/test_cuda.py::TestCuda::test_random_no_reused_random_states_float32, test/test_cuda.py::TestCuda::test_random_no_reused_random_states_float64, test/test_cuda.py::TestCuda::test_record_stream, test/test_cuda.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda.py::TestCuda::test_reduction_gpu_memory_accessing, test/test_cuda.py::TestCuda::test_rocm_backward_pass_guard, test/test_cuda.py::TestCuda::test_serialization_array_with_empty, test/test_cuda.py::TestCuda::test_serialization_array_with_storage, test/test_cuda.py::TestCuda::test_specify_improper_device_name, test/test_cuda.py::TestCuda::test_stream_compatibility, test/test_cuda.py::TestCuda::test_stream_context_manager, test/test_cuda.py::TestCuda::test_stream_event_repr, test/test_cuda.py::TestCuda::test_streaming_backwards_callback, test/test_cuda.py::TestCuda::test_streaming_backwards_multiple_streams, test/test_cuda.py::TestCuda::test_streaming_backwards_sync, test/test_cuda.py::TestCuda::test_streaming_backwards_sync_graph_root, test/test_cuda.py::TestCuda::test_streams, test/test_cuda.py::TestCuda::test_sum_fp16, test/test_cuda.py::TestCuda::test_tiny_half_norm_, test/test_cuda.py::TestCuda::test_to_cpu_blocking_by_default, test/test_cuda.py::TestCuda::test_to_numpy, test/test_cuda.py::TestCuda::test_torch_manual_seed_seeds_cuda_devices, test/test_cuda.py::TestCuda::test_type_conversions, test/test_cuda.py::TestCuda::test_uuid, test/test_cuda.py::TestCudaMallocAsync::test_allocator_fuzz, test/test_cuda.py::TestCudaMallocAsync::test_allocator_settings, test/test_cuda.py::TestCudaMallocAsync::test_cachingAllocator_raw_alloc, test/test_cuda.py::TestCudaMallocAsync::test_clock_speed, test/test_cuda.py::TestCudaMallocAsync::test_cpp_memory_snapshot_pickle, test/test_cuda.py::TestCudaMallocAsync::test_cycles, test/test_cuda.py::TestCudaMallocAsync::test_device_memory_used, test/test_cuda.py::TestCudaMallocAsync::test_direct_traceback, test/test_cuda.py::TestCudaMallocAsync::test_memory_compile_regions, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots_free_segment_stack, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots_free_stack, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots_history_context, test/test_cuda.py::TestCudaMallocAsync::test_memory_profiler_viz, test/test_cuda.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda.py::TestCudaMallocAsync::test_memory_snapshot_script, test/test_cuda.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda.py::TestCudaMallocAsync::test_notifies_oom, test/test_cuda.py::TestCudaMallocAsync::test_nvml_get_handler, test/test_cuda.py::TestCudaMallocAsync::test_power_draw, test/test_cuda.py::TestCudaMallocAsync::test_raises_oom_max_split_size_mb_setting_False, test/test_cuda.py::TestCudaMallocAsync::test_raises_oom_max_split_size_mb_setting_True, test/test_cuda.py::TestCudaMallocAsync::test_raw_amdsmi_device_count, test/test_cuda.py::TestCudaMallocAsync::test_raw_amdsmi_device_uuids, test/test_cuda.py::TestCudaMallocAsync::test_temperature, test/test_cuda.py::TestCudaMallocAsync::test_uuid_visible_devices, test/test_cuda.py::TestBlockStateAbsorption::test_additional_free_following_checkpoint, test/test_cuda.py::TestBlockStateAbsorption::test_allocate_in_thread_to_pool, test/test_cuda.py::TestBlockStateAbsorption::test_allocated_in_middle_of_segment, test/test_cuda.py::TestBlockStateAbsorption::test_assigning_back_deleter_fns_to_tensor, test/test_cuda.py::TestBlockStateAbsorption::test_check_pool_live_allocations, test/test_cuda.py::TestBlockStateAbsorption::test_middle_allocations_contiguous, test/test_cuda.py::TestBlockStateAbsorption::test_multiple_middle_allocations, test/test_cuda.py::TestBlockStateAbsorption::test_no_triton_on_import, test/test_cuda.py::TestBlockStateAbsorption::test_resnet, test/test_cuda.py::TestBlockStateAbsorption::test_simple, test/test_cuda.py::TestBlockStateAbsorption::test_tensor_dies_after_checkpoint, test/test_cuda.py::TestMemPool::test_mempool_empty_cache, test/test_cuda.py::TestMemPool::test_mempool_emptycache_multithread, test/test_cuda.py::TestMemPool::test_mempool_expandable, test/test_cuda.py::TestMemPool::test_mempool_id, test/test_cuda.py::TestMemPool::test_mempool_multithread, test/test_cuda.py::TestMemPool::test_mempool_with_allocator, test/test_cuda.py::TestGDS::test_gds_read_write_tensors, test/test_cuda.py::TestCudaAutocast::test_autocast_banned, test/test_cuda.py::TestCudaAutocast::test_autocast_cat_jit, test/test_cuda.py::TestCudaAutocast::test_autocast_checkpointing, test/test_cuda.py::TestCudaAutocast::test_autocast_custom_cast_inputs, test/test_cuda.py::TestCudaAutocast::test_autocast_custom_deprecated_warning, test/test_cuda.py::TestCudaAutocast::test_autocast_custom_enabled, test/test_cuda.py::TestCudaAutocast::test_autocast_ignored_types, test/test_cuda.py::TestCudaAutocast::test_autocast_linalg_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_methods_expect_builtin_promote, test/test_cuda.py::TestCudaAutocast::test_autocast_methods_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_methods_fp32, test/test_cuda.py::TestCudaAutocast::test_autocast_nn_bf16, test/test_cuda.py::TestCudaAutocast::test_autocast_nn_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_nn_fp32, test/test_cuda.py::TestCudaAutocast::test_autocast_rnn, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_bf16, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_expect_builtin_promote, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_fp32, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_need_autocast_promote, test/test_cuda.py::TestCudaAutocast::test_cuda_autocast_deprecated_warning, test/test_cuda.py::TestCompileKernel::test_compile_kernel, test/test_cuda.py::TestCompileKernel::test_compile_kernel_advanced, test/test_cuda.py::TestCompileKernel::test_compile_kernel_as_custom_op, test/test_cuda.py::TestCompileKernel::test_compile_kernel_custom_op_validation, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaling_autocast_fused_optimizers_Adagrad_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaling_autocast_fused_optimizers_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaling_autocast_fused_optimizers_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_grad_scaling_autocast_fused_optimizers_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_False_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_False_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_False_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_True_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_True_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_False_fused_True_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_True_fused_False_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_True_fused_False_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_grad_scaling_foreach_True_fused_False_SGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_ASGD_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_Adadelta_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_Adamax_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_NAdam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_RAdam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_RMSprop_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_optims_Rprop_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_scaling_fused_optimizers_AdamW_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_scaling_fused_optimizers_Adam_cpu_float32, test/test_cuda.py::TestCudaOptimsCPU::test_graph_scaling_fused_optimizers_SGD_cpu_float32, test/test_cuda.py::TestCudaDeviceParametrizedCPU::test_graph_external_wait_and_record_cpu
2025-08-26T20:11:47.1691140Z 
2025-08-26T20:11:49.6149210Z Running higher_order_ops/test_with_effects 1/1 ... [2025-08-26 20:11:49.614750]
2025-08-26T20:11:49.6149880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:49.6151450Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'higher_order_ops/test_with_effects.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:49.615033]
2025-08-26T20:11:51.9337350Z 
2025-08-26T20:11:51.9338100Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_d9e716420bfd3371_.log
2025-08-26T20:11:51.9352710Z Running 18 items in this shard: test/higher_order_ops/test_with_effects.py::TestWithEffects::test_alias_op, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_aot_eager, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_aot_eager_requires_grad, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_inductor, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_inductor_external_op_return_none, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effectful_custom_op_with_subclasses, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effectful_op_in_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_aliased_outputs, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_mutation_is_output, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_mutation_return, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_output_view_simple, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print_with_buffer_mutations, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print_with_input_mutations, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_register_effectful_custom_op, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_regular_effectful_op_in_forward_and_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_regular_effectful_op_only_in_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_torchbind_custom_op
2025-08-26T20:11:51.9357340Z 
2025-08-26T20:11:53.9681210Z Running functorch/test_aotdispatch 1/3 ... [2025-08-26 20:11:53.967967]
2025-08-26T20:11:53.9681680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:11:53.9683660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:11:53.968256]
2025-08-26T20:17:17.4454880Z 
2025-08-26T20:17:17.4455400Z test_dataloader 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_2.2_3fa9f0097bb99362_.log
2025-08-26T20:17:17.4484290Z Running 90 items in this shard: test/test_dataloader.py::TestDatasetRandomSplit::test_lengths_must_equal_dataset_size, test/test_dataloader.py::TestDatasetRandomSplit::test_slicing_of_subset_of_dataset, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_generator, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_have_correct_size, test/test_dataloader.py::TestDatasetRandomSplit::test_splits_reproducibility, test/test_dataloader.py::TestTensorDataset::test_getitem_1d, test/test_dataloader.py::TestTensorDataset::test_single_tensor, test/test_dataloader.py::TestStackDataset::test_empty, test/test_dataloader.py::TestStackDataset::test_len, test/test_dataloader.py::TestConcatDataset::test_add_dataset, test/test_dataloader.py::TestConcatDataset::test_concat_raises_index_error, test/test_dataloader.py::TestConcatDataset::test_concat_two_singletons, test/test_dataloader.py::TestDataLoader::test_batch_sampler, test/test_dataloader.py::TestDataLoader::test_bulk_loading_nobatch, test/test_dataloader.py::TestDataLoader::test_chain_iterable_style_dataset, test/test_dataloader.py::TestDataLoader::test_default_collate_bad_sequence_type, test/test_dataloader.py::TestDataLoader::test_default_collate_dtype, test/test_dataloader.py::TestDataLoader::test_default_collate_numpy_memmap, test/test_dataloader.py::TestDataLoader::test_default_convert_mapping_keep_type, test/test_dataloader.py::TestDataLoader::test_default_convert_sequence_keep_type, test/test_dataloader.py::TestDataLoader::test_distributed_sampler_invalid_rank, test/test_dataloader.py::TestDataLoader::test_error_workers, test/test_dataloader.py::TestDataLoader::test_growing_dataset, test/test_dataloader.py::TestDataLoader::test_invalid_ctor_args_combinations, test/test_dataloader.py::TestDataLoader::test_large_sampler_indices, test/test_dataloader.py::TestDataLoader::test_multiple_dataloaders, test/test_dataloader.py::TestDataLoader::test_multiprocessing_iterdatapipe, test/test_dataloader.py::TestDataLoader::test_numpy_gen_state, test/test_dataloader.py::TestDataLoader::test_numpy_scalars, test/test_dataloader.py::TestDataLoader::test_proper_exit, test/test_dataloader.py::TestDataLoader::test_segfault, test/test_dataloader.py::TestDataLoader::test_sequential_batch, test/test_dataloader.py::TestDataLoader::test_sequential_nonbatch, test/test_dataloader.py::TestDataLoader::test_sequential_pin_memory, test/test_dataloader.py::TestDataLoader::test_sequential_workers, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_none, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_workers, test/test_dataloader.py::TestDataLoader::test_shuffle_batch_workers_prefetch, test/test_dataloader.py::TestDataLoader::test_shuffle_pin_memory, test/test_dataloader.py::TestDataLoader::test_shuffle_reproducibility, test/test_dataloader.py::TestDataLoader::test_shuffle_workers, test/test_dataloader.py::TestDataLoader::test_timeout, test/test_dataloader.py::TestDataLoader::test_typing, test/test_dataloader.py::TestDataLoader::test_worker_seed, test/test_dataloader.py::TestDataLoader::test_worker_seed_reproducibility, test/test_dataloader.py::IntegrationTestDataLoaderDataPipe::test_shuffler_iterdatapipe, test/test_dataloader.py::TestStringDataLoader::test_shuffle_pin_memory, test/test_dataloader.py::TestDictDataLoader::test_pin_memory, test/test_dataloader.py::TestDictDataLoader::test_pin_memory_device, test/test_dataloader.py::TestDictDataLoader::test_sequential_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_builtin_collection_conversion, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_bulk_loading_nobatch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_chain_iterable_style_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_bad_sequence_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_collate_shared_tensor, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_default_convert_mapping_keep_type, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_distributed_sampler_invalid_rank, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_early_exit, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error_in_init, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_error_workers, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_excessive_thread_creation_warning, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_fd_limit_exceeded, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_growing_dataset, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_invalid_assign_after_init, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_len, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multi_epochs_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiple_dataloaders, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_contexts, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_multiprocessing_iterdatapipe_with_dill, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_no_segfault, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_numpy_gen_state, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_proper_exit, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler_len_with_replacement, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_random_sampler_len_without_replacement, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sampler, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sampler_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_nonbatch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_sequential_pin_memory, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_batch, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_shuffle_reproducibility, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_typing, test/test_dataloader.py::TestDataLoaderPersistentWorkers::test_worker_seed, test/test_dataloader.py::TestCustomPinFn::test_custom_batch_pin_worker, test/test_dataloader.py::TestIndividualWorkerQueue::test_ind_worker_queue, test/test_dataloader.py::TestSetAffinity::test_set_affinity_in_worker_init, test/test_dataloader.py::TestOutOfOrderDataLoader::test_in_order_iterable_ds, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_nested_tensor_multiprocessing_context_forkserver_cpu, test/test_dataloader.py::TestDataLoaderDeviceTypeCPU::test_sparse_tensor_multiprocessing_context_spawn_cpu
2025-08-26T20:17:17.4502550Z 
2025-08-26T20:17:20.0568360Z Running functorch/test_aotdispatch 2/3 ... [2025-08-26 20:17:20.056598]
2025-08-26T20:17:20.0569260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:17:20.0571960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:17:20.056908]
2025-08-26T20:18:10.4361380Z 
2025-08-26T20:18:10.4362330Z functorch/test_aotdispatch 1/3 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.3_9c31b73352e8aa7f_.log
2025-08-26T20:18:10.4612700Z Running 703 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_data, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_on_grad_out, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_pass_autocast_custom, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_pass_autocast_off, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_pass_autocast_on, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_buffer_copied_in_graph_with_different_shapes, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_composite_impl_compile, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dupe_arg_returned_as_output, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dynamic_shape_output_not_in_bw_graph, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_inplace_requires_grad_true, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_and_none_require_gradients, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_and_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_bases_out_of_order, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_other_input2, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_and_output_view, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_false_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_is_output, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_requires_grad_detach, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_requires_grad_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_set__input_mutation, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_simple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_simple_with_none_and_nontensor, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_storage_resize_down, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_storage_resize_up, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_output_aliase_custom_autograd_function, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_output_view_simple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_dupe, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_requires_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_requires_grad_fake, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_mark_activations_dynamic_with_nested, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_module, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nested_subclasses, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nested_subclasses_complicated_inps, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nested_subclasses_non_homogenous, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_new_inp_requires_grad_now, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_non_tensor_and_none_inputs, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nonidempotent_amp, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_and_returned, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_and_returned_different_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_inplace_view_and_view, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_mutation_linear, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_returned_multiple_times, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_multiple_inputs_get_correct_one, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_output_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_dict, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_op_depending_on_symint, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_real_weights_in_symbolic_mode_with_inplace_ops, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_saved_tensors_hooks_mutations_raise, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_set__and_data_mutation_good, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_set__not_allowed, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_set__steals_view_chain, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_single_output, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_some_output_requires_grad_input_doesnt, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_squeeze_mutation, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_subclass_metadata_mutation_req_grad_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_synthetic_base_base_attribute_is_none, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_view_detach, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_ban_dropout_mut_pre_dispatch, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_forward_mutation_multiple_mut, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_forward_mutation_no_buffer_mut, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_input_mutation, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_input_mutation_on_parameter_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_map_1, test/functorch/test_aotdispatch.py::TestPartitioning::test_default_partitioner_getitem, test/functorch/test_aotdispatch.py::TestPartitioning::test_meta_tensor_inplace_op, test/functorch/test_aotdispatch.py::TestPartitioning::test_min_cut_partitioner_save_shape, test/functorch/test_aotdispatch.py::TestPartitioning::test_recompute_partitioning, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_incorrect_backward, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_input_data_and_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_input_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_input_mutation_and_output_alias, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_output_requires_grad_in_no_grad, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_aot_module_simplified_dynamic, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_aot_module_simplified_preserves_stack_trace, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_aot_test_subclasses_with_tensor_factories, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_inductor_freezing_with_subclasses, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_inference_python_dispatcher, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_noncontig_nonmemformat_tangents_dynamic_shapes_True_test_subclasses_False_device_cuda, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_rrelu, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_saved_tensors_hooks_base_saved_tensors_hooks_filtering_mode_no_static, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_saved_tensors_hooks_recompile, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_subclass_parameters, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_external_calls_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_make_fx_vmap_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_nnc_passthrough_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_nnc_scalar_cpu, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___rmatmul___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___rmod___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___rmul___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___rpow___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_acosh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addbmm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addmm_decomposed_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addmv_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_partial_views_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_asin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_asinh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_atan_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_atanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_atleast_3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_baddbmm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_bernoulli_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_bfloat16_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_bmm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_bool_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_byte_cpu_float32, 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test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Mish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_PoissonNLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNNCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReLU6_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReflectionPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReplicationPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReplicationPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_SmoothL1Loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Softsign_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Tanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Transformer_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ZeroPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveMaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BCELoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BCEWithLogitsLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm1d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm2d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm2d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CTCLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CircularPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConstantPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConstantPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Conv3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConvTranspose1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_FractionalMaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Hardshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_KLDivLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LSTM_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConvTranspose1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConvTranspose3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LeakyReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LocalResponseNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MarginRankingLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MaxPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiLabelMarginLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiheadAttention_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_NLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_PoissonNLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReLU6_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReflectionPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReplicationPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softsign_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Tanhshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_TransformerDecoderLayer_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_TransformerEncoder_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ZeroPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_autocast_disable_guard, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_mutation_forward_inputs, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_mutation_forward_inputs_create_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_pass_autocast_custom, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_pass_autocast_off, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_batch_norm_amp, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_buffer_batch_norm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_complex_linear, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_custom_tensor_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dupe_arg, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dupe_arg_returned_as_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_duplicated_arguments_on_tensor_overlap, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_grad_context, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_inner_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_aliased_with_mutation_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_data_and_metadata_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_alias_everything, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_and_none_require_gradients, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_bases_out_of_order, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_and_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_metadata2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_noncontiguous, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_return, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_simple_with_none_and_nontensor, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_storage_resize_before_set_, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_storage_resize_down, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_inputs_overlapping_with_mutation_guard_base, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_dupe_left_bias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_requires_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_requires_grad_fake, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_list_codegen, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mark_activations_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mark_activations_dynamic_with_nested, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mark_outputs_dynamic_use_autograd_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mutations_in_bw_detached_from_tangent, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_non_tensor_and_none_inputs, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_input_multi_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_inplace_view_and_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_multiple_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_mutation_linear, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_all_alias_types, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_outputs_are_aliased, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_saved_tensors_hooks_mutations_raise, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_single_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_some_output_requires_grad_input_doesnt, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_subclasses_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_synthetic_base_base_attribute_is_none, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_view_detach, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_autocast_disable_guard, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_data, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_forward_inputs_create_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_complex_linear, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_composite_impl_compile, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_custom_autograd, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dupe_arg, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_duplicated_arguments_on_tensor_overlap, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_grad_context, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_inference_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_aliased_with_mutation_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_data_and_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_inplace_requires_grad_true, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_aliases_other_input2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_set__nop, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_down_and_set_, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_output_aliase_custom_autograd_function, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_output_view_simple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_inputs_overlapping_unsqueeze_with_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_invalid_dupe_left_bias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_invalid_requires_grad_fake, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mark_outputs_dynamic_use_autograd_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_nested_subclasses_complicated_inps_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_and_returned_flipped, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_inplace_view_and_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_mutation_linear, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_returned_multiple_times, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_all_alias_types, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_op_depending_on_symint, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__and_data_mutation_bad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__not_allowed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__steals_view_chain, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_subclass_metadata_mutation_req_grad_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_subclasses_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_view_and_inplace_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_view_detach
2025-08-26T20:18:10.4822690Z 
2025-08-26T20:18:12.6299020Z Running inductor/test_fused_attention 1/1 ... [2025-08-26 20:18:12.629743]
2025-08-26T20:18:12.6299360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:18:12.6301360Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:12.630030]
2025-08-26T20:18:15.2235960Z 
2025-08-26T20:18:15.2237610Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_07632e45b9db62d9_.log
2025-08-26T20:18:15.2238980Z 
2025-08-26T20:18:17.3866850Z Running inductor/test_pad_mm 1/1 ... [2025-08-26 20:18:17.386495]
2025-08-26T20:18:17.3868240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:18:17.3869720Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_pad_mm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:17.386778]
2025-08-26T20:18:19.9124230Z 
2025-08-26T20:18:19.9125390Z inductor/test_pad_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pad_mm_1.1_9faa0ce729194c36_.log
2025-08-26T20:18:22.0766160Z 
2025-08-26T20:18:22.0766930Z Running inductor/test_b2b_gemm 1/1 ... [2025-08-26 20:18:22.076487]
2025-08-26T20:18:22.0767710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:18:22.0769430Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:22.076783]
2025-08-26T20:18:24.6207240Z 
2025-08-26T20:18:24.6208630Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_0cd1cf6ac3044cb9_.log
2025-08-26T20:18:24.6209210Z 
2025-08-26T20:18:26.7854240Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-08-26 20:18:26.785200]
2025-08-26T20:18:26.7855170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:18:26.7856990Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_torchinductor_strided_blocks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:26.785498]
2025-08-26T20:18:29.4647430Z 
2025-08-26T20:18:29.4649560Z inductor/test_torchinductor_strided_blocks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_strided_blocks_1.1_b1ed5b5f3000c829_.log
2025-08-26T20:18:29.4650780Z 
2025-08-26T20:18:31.6445070Z Running inductor/test_move_constructors_to_cuda 1/1 ... [2025-08-26 20:18:31.644303]
2025-08-26T20:18:31.6445980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:18:31.6448020Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_move_constructors_to_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:31.644604]
2025-08-26T20:18:34.2034220Z 
2025-08-26T20:18:34.2036800Z inductor/test_move_constructors_to_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_cuda_1.1_dc5bbe1727192f1b_.log
2025-08-26T20:18:34.2038200Z 
2025-08-26T20:18:36.3775040Z Running inductor/test_cooperative_reductions 1/1 ... [2025-08-26 20:18:36.377316]
2025-08-26T20:18:36.3775960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:18:36.3778080Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:36.377610]
2025-08-26T20:18:38.9695370Z 
2025-08-26T20:18:38.9696260Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_f238abe21d4ef09f_.log
2025-08-26T20:18:38.9696800Z 
2025-08-26T20:18:41.1321130Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-08-26 20:18:41.131903]
2025-08-26T20:18:41.1322030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:18:41.1324050Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:41.132189]
2025-08-26T20:18:43.6897940Z 
2025-08-26T20:18:43.6901000Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_b424bd63f696f847_.log
2025-08-26T20:18:43.6902650Z 
2025-08-26T20:18:45.8470280Z Running inductor/test_triton_heuristics 1/1 ... [2025-08-26 20:18:45.846850]
2025-08-26T20:18:45.8471400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:18:45.8473140Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_triton_heuristics.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:45.847138]
2025-08-26T20:18:48.4845350Z 
2025-08-26T20:18:48.4845990Z inductor/test_triton_heuristics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_heuristics_1.1_e947678c142ac6c7_.log
2025-08-26T20:18:48.4846600Z 
2025-08-26T20:18:49.4201990Z 
2025-08-26T20:18:49.4203840Z inductor/test_torchinductor_codegen_dynamic_shapes 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.2_2e0d62564600f965_.log
2025-08-26T20:18:49.4392310Z Running 423 items in this shard: test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_abs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool1d_argmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool_with_output_size_0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_pool_errors_with_long_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex9_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_const_float_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_addmv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aliased_buffer_reuse_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_allow_reuse_active_if_under_peak_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_support_out_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_with_scalar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_argmin3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_argmin_with_duplicates_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_min_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_as_strided_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_alignment_op_name_fail_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_alignment_op_name_pass_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_size_stride_op_name_fail_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_size_stride_op_name_pass_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool_errors_with_uint_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_baddbmm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_batch_norm_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bernoulli1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bernoulli2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bfloat16_to_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bmm2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_both_scalars_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_computed_offsets_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_default_kwargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int32_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int64_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int64_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int64_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_nd_tiling_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_buffer_copied_in_graph_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_float_ndigits_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_int_ndigits_pos_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_int_ndigits_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_empty_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_negative_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_of_loops_and_extern_kernel_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_unbacked_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_unbacked_empty_1d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_upcasting_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_chunk_recompiles_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_clamp_type_promotion_non_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_compar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_complex_memory_overlap_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_config_option_dont_assume_alignment_dynamic_shapes_cpu, 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test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_deterministic_codegen_with_suffix_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_device_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_diagonal_copy_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dist_bf16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div9_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div_by_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout_trivial_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtype_mismatch_issue_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_embedding_bag_byte_unpack_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_embedding_bag_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_empty_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_exact_stride_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_exp2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_exp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_expand_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_basic_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_list_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_list_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fft_real_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_flip_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_float32_to_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fmin_fmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fractional_max_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fractional_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_full_like_sliced_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_full_like_transposed_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_functionalize_rng_wrappers_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fuse_tiled_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gather1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gather2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gather_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gelu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_generated_code_has_alignment_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_constant_tensor2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_mutation_real_name_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_no_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_unbacked_symint_as_output_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_grid_sampler_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_hardtanh_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_horizonal_fusion1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_horizonal_fusion2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_abs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_flip_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_as_masked_fill_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_failed_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_select_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_indirect_load_broadcast_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inductor_multiple_specializations_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inner_fn_str_and_stride_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_input_mutation2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_input_mutation5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_int8_weight_only_quant_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_invalid_operand_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_isin_tensor_scalar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_isinf2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_l1_loss_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_large_grid_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_large_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_lerp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_lgamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_rands_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_rands_sliced_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linear1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linear_dynamic_maxautotune_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_logaddexp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_logcumsumexp_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_logsumexp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_long_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_low_memory_max_pool_dilation_1_dim_3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_masked_fill_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_masked_fill_promotion_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_masked_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_matmul_layer_norm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_min_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mean_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_misaligned_address_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mix_device_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_move_arange_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mul_index_expr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_gpu_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_gpu_recompile_on_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_threading_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_prime_size_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_var_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_var_lowp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mutable_custom_op_fixed_layout_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_sort_stable_False_descending_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_sort_stable_False_descending_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_to_num_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_narrow_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_new_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_mega_fusion_during_lowering_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_op_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_specization_over_symbolic_value_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nonzero_unbacked_refinement_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_output_strides_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pattern_matcher_multi_user_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_permute1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_permute2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_philox_rand_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pixel_shuffle_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_airy_ai_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_bessel_j1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_bessel_y1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_chebyshev_polynomial_t_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_chebyshev_polynomial_v_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_digamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_entr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_erfcx_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_erfinv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_expit_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_gammainc_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_gammaln_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_hermite_polynomial_he_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_i1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_laguerre_polynomial_l_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_legendre_polynomial_p_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_log1p_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_log_ndtr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_i1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_k1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_ndtri_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_psi_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_scaled_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_t_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_u_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_w_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_xlog1py_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_polar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow_by_natural_log2_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow_symfloat_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_prod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_profiler_mark_wrapper_call_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_int64_mod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_kernel_count_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randn_generator_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randn_like_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reflection_pad2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reflection_pad2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reinterpret_dtypeview_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_clone_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_copy_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_slice_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_view_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_Tensor_decomp_int32_nd_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_Tensor_decomp_int64_nd_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_replication_pad_errors_with_bool_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_require_stride_expanded_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reuse_buffers_with_aliasing_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_roll_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_rsqrt_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scalar_cpu_tensor_arg_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scalar_output_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scaled_dot_product_attention_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_add1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_add2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_reduce1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_reduce2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_unaligned_mask_freezing_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_searchsorted_broadcast_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_searchsorted_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_select_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sgn_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_shape_padding_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_shape_prop_torch_ones_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_signbit_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_silu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_simplify_loops_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_single_elem_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sizehint_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_mutation3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_view_with_graph_break_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_bool_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_transpose_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_special_polygamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumprod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumprod_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumsum_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumsum_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_failed_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_reduction_dynamic_shape_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_reduction_with_int64_size_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_integer_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_list_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_sizes_with_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sqrt_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_stack_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_std_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_stride_preservation_with_stride_modifying_fx_pass_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_strided_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum_keepdims_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tensor3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tensor_index_slice_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tmp_not_defined_issue1_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tmp_not_defined_issue2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_to_device_constant_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_to_memory_format_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_topk_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_transpose_add_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_triton_kernel_bool_param_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_uint4x2_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unfold_zero_dimension_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unroll_small_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_bilinear2d_a_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_bilinear2d_b_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_cat_conv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_nearest2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_nearest3d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_var_mean_div_by_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vdd_clamp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vectorized_ops_masked_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vertical_fusion1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_as_real_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_on_aliased_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_uint8_through_differing_bitwidths_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_zero_dim_reductions_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_zero_element_mutation_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_zeros_dynamic_shapes_cpu
2025-08-26T20:18:49.4536460Z 
2025-08-26T20:18:50.8431370Z Running inductor/test_select_algorithm 1/1 ... [2025-08-26 20:18:50.842930]
2025-08-26T20:18:50.8432210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:18:50.8434660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:50.843216]
2025-08-26T20:18:51.6617680Z Running inductor/test_op_dtype_prop 1/1 ... [2025-08-26 20:18:51.661564]
2025-08-26T20:18:51.6619100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:18:51.6619980Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_op_dtype_prop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:51.661851]
2025-08-26T20:18:53.5812600Z 
2025-08-26T20:18:53.5813880Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_6d23722ec4b4ea87_.log
2025-08-26T20:18:53.5814390Z 
2025-08-26T20:18:55.0731200Z 
2025-08-26T20:18:55.0731950Z inductor/test_op_dtype_prop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.1_0c953045f9961dba_.log
2025-08-26T20:18:55.0732420Z 
2025-08-26T20:18:55.9138840Z Running inductor/test_custom_post_grad_passes 1/1 ... [2025-08-26 20:18:55.908594]
2025-08-26T20:18:55.9238720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:18:55.9341610Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_custom_post_grad_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:55.908894]
2025-08-26T20:18:57.3966630Z Running inductor/test_graph_transform_observer 1/1 ... [2025-08-26 20:18:57.396506]
2025-08-26T20:18:57.3967000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:18:57.3970430Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_graph_transform_observer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:18:57.396787]
2025-08-26T20:18:58.6668980Z 
2025-08-26T20:18:58.6669750Z inductor/test_custom_post_grad_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_post_grad_passes_1.1_b951f482d84c665f_.log
2025-08-26T20:18:58.6670260Z 
2025-08-26T20:19:00.1274330Z 
2025-08-26T20:19:00.1275180Z inductor/test_graph_transform_observer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_graph_transform_observer_1.1_a104ebde481bcbfa_.log
2025-08-26T20:19:00.1275740Z 
2025-08-26T20:19:01.0095350Z Running inductor/test_scatter_optimization 1/1 ... [2025-08-26 20:19:01.009281]
2025-08-26T20:19:01.0096440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:19:01.0098660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_scatter_optimization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:01.009565]
2025-08-26T20:19:02.4657120Z Running inductor/test_mkldnn_pattern_matcher 1/1 ... [2025-08-26 20:19:02.465542]
2025-08-26T20:19:02.4657830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:19:02.4659900Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:02.465875]
2025-08-26T20:19:03.7257170Z 
2025-08-26T20:19:03.7257830Z inductor/test_scatter_optimization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_scatter_optimization_1.1_ee4c98f09baab7b7_.log
2025-08-26T20:19:03.7258420Z 
2025-08-26T20:19:05.2783970Z 
2025-08-26T20:19:05.2785960Z inductor/test_mkldnn_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.1_d1e00dd62ddc28c9_.log
2025-08-26T20:19:05.2787360Z 
2025-08-26T20:19:06.0488580Z Running inductor/test_binary_folding 1/1 ... [2025-08-26 20:19:06.048668]
2025-08-26T20:19:06.0588470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:19:06.0590690Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_binary_folding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:06.049369]
2025-08-26T20:19:07.6399720Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2025-08-26 20:19:07.639801]
2025-08-26T20:19:07.6400080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:19:07.6401960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:07.640096]
2025-08-26T20:19:08.9456900Z 
2025-08-26T20:19:08.9458390Z inductor/test_binary_folding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_binary_folding_1.1_6ce60fa234a36d54_.log
2025-08-26T20:19:08.9467950Z Running 0 items in this shard:
2025-08-26T20:19:08.9468280Z 
2025-08-26T20:19:10.5583460Z 
2025-08-26T20:19:10.5584110Z inductor/test_efficient_conv_bn_eval 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_efficient_conv_bn_eval_1.1_4b08edf294f62b23_.log
2025-08-26T20:19:10.5593560Z Running 0 items in this shard:
2025-08-26T20:19:10.5593940Z 
2025-08-26T20:19:11.2273800Z Running dynamo/test_torchrec 1/1 ... [2025-08-26 20:19:11.227198]
2025-08-26T20:19:11.2375250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:19:11.2475940Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'dynamo/test_torchrec.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:11.228124]
2025-08-26T20:19:12.9685110Z Running test_decomp 2/5 ... [2025-08-26 20:19:12.968356]
2025-08-26T20:19:12.9685400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:19:12.9687450Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:12.968628]
2025-08-26T20:19:13.5141160Z 
2025-08-26T20:19:13.5142090Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_5689f8efd35b427f_.log
2025-08-26T20:19:13.5150340Z Running 0 items in this shard:
2025-08-26T20:19:13.5150490Z 
2025-08-26T20:19:15.7151540Z Running test_decomp 4/5 ... [2025-08-26 20:19:15.714898]
2025-08-26T20:19:15.7152240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:19:15.7154070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=4', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:19:15.715183]
2025-08-26T20:24:17.4970560Z 
2025-08-26T20:24:17.4971670Z functorch/test_aotdispatch 2/3 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_2.3_55cca82100b81776_.log
2025-08-26T20:24:17.5208650Z Running 715 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_custom_autograd, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_custom_tensor_metadata, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_default_partitioner_saves_symints_not_tensors_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dupe_arg, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dupe_arg_torture, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_duplicated_arguments_on_tensor_overlap, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dynamic_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_metadata_mutation_aliases, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_hidden_from_autograd_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_noncontiguous, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_output_view_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_return, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_storage_resize_before_set_, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_output_view_metadata_mutate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_dupe_fake, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_dupe_left_bias, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_list_codegen, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_mark_outputs_dynamic_use_autograd_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_mark_outputs_dynamic_use_autograd_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_multi_output, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_mutates_input_noncontiguous, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nested_subclasses_non_nested_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_and_returned_flipped, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_multiple_mixed, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_some_outputs_dont_require_grad_non_view, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_view_and_inplace_view, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_functionalized_rng_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_input_dupes_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_input_mutation_on_input_requiring_grad_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_metadata_mutation_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_conv_and_bn, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_func_composite_implicit, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_func_view, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_outdtype, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_reshape, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_with_cond_nested, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_simplified_pytrees_banned, test/functorch/test_aotdispatch.py::TestPartitioning::test_generate_gives_inference_graph, test/functorch/test_aotdispatch.py::TestPartitioning::test_min_cut_partitioner_output_tensor_shape_tensor, test/functorch/test_aotdispatch.py::TestPartitioning::test_min_cut_partitioner_raise_getitems, test/functorch/test_aotdispatch.py::TestPartitioning::test_preserve_random, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_output_requires_grad_in_no_grad_views, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_simple, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_aot_module_simplified, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_flex_attn_noncontiguous_tangents, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_grads_no_force_contiguous_dense, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_grads_no_force_contiguous_nested_subclass, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_grads_no_force_contiguous_nested_tensor_tangent, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_lift_fresh_copy_in_graph, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_noncontig_nonmemformat_tangents_dynamic_shapes_False_test_subclasses_False_device_cpu, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_noncontig_nonmemformat_tangents_dynamic_shapes_False_test_subclasses_True_device_cpu, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_noncontig_nonmemformat_tangents_dynamic_shapes_True_test_subclasses_True_device_cpu, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_noncontig_nonmemformat_tangents_dynamic_shapes_True_test_subclasses_True_device_cuda, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_rrelu_with_noise_mutation, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_saved_tensors_hooks_params, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_subclass_parameters_torture_case, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_tangent_type_coercion, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_make_fx_functionalize_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_make_fx_jacrev_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_make_fx_vjp_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_nnc_pytrees_cpu, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_T_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___radd___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___rsub___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__native_batch_norm_legit_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__segment_reduce_offsets_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__softmax_backward_data_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__unsafe_masked_index_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_abs_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_acos_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addmm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addr_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_alias_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_amax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_amin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_aminmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_argwhere_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_atan2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_atleast_2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_block_diag_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_broadcast_shapes_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_broadcast_to_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_bucketize_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cat_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cfloat_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_chalf_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_clamp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_clamp_max_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_column_stack_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_constant_pad_nd_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cross_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cummax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diagflat_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diagonal_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diagonal_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diagonal_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_dist_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_dot_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_empty_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_erfc_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_expand_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_expand_cpu_float32, 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test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LayerNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LazyConv1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LazyConv2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LogSoftmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MaxPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MultiheadAttention_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_NLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNN_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_SiLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Tanhshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Threshold_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_TransformerDecoderLayer_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_TransformerEncoder_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ZeroPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ZeroPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveAvgPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveAvgPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveMaxPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AvgPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm3d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm3d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Bilinear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CircularPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Conv1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Conv2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConvTranspose2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConvTranspose3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CosineEmbeddingLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GRUCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GRU_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GaussianNLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Hardswish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm1d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm2d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm3d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm3d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LPPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LPPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LSTMCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConv1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConv2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConv3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Linear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LogSigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiMarginLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiheadAttention_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_PReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RMSNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RNN_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RNN_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReplicationPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_SELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Sigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_SmoothL1Loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ZeroPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ZeroPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_mutation_data, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_pass_autocast_on, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_buffer_copied_in_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_buffer_copied_in_graph_with_different_shapes, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_compilation_context, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_composite_impl_compile, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_custom_autograd, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_default_partitioner_saves_symints_not_tensors_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dynamic_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_embedding_bag_view_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_data_and_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_inplace_requires_grad_true, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_and_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_other_input2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_is_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_modifies_autograd_meta_of_aliases, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_output_view_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_requires_grad_no_grad_detach_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_requires_grad_no_grad_inference_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_set__input_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_set__nop, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_simple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_output_aliase_custom_autograd_function, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_output_view_metadata_mutate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_output_view_simple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_inputs_overlapping_unsqueeze_with_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_dupe_fake, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mark_outputs_dynamic_use_autograd_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mem_leak_from_save_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_module, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_multi_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_multi_output_list, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mutates_input_noncontiguous, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nested_subclasses_non_homogenous, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_no_grad_input_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nonidempotent_amp, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_input_multi_output_view_should_raise_autograd_error, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_and_returned, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_and_returned_different_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_inplace_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_returned_multiple_times, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_single, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_multiple_inputs_get_correct_one, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_op_depending_on_symint, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_real_weights_in_symbolic_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_real_weights_in_symbolic_mode_with_inplace_ops, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_set__and_data_mutation_bad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_set__not_allowed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_set__steals_view_chain, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_some_outputs_dont_require_grad_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_subclasses_mixed_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_view_and_inplace_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_forward_inputs, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_batchnorm_inference, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_buffer_copied_in_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_buffer_copied_in_graph_with_different_shapes, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_custom_tensor_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_default_partitioner_saves_symints_not_tensors_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dupe_arg_returned_as_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dupe_arg_torture, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dynamic_shape_output_not_in_bw_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_inner_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_data_and_metadata_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_alias_everything, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_aliases_bases_out_of_order, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_and_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_false_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_hidden_from_autograd_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_modifies_autograd_meta_of_aliases, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_output_view_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_requires_grad_detach, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_requires_grad_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_requires_grad_no_grad_inference_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_return, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_simple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_before_set_, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_up, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_output_view_mutate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_inputs_overlapping_with_mutation_guard_base, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_invalid_dupe, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mark_activations_dynamic_with_nested, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mem_leak_from_save_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_multi_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mutates_input_noncontiguous, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mutation_of_input_in_fw_and_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_nested_subclasses, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_nested_subclasses_non_homogenous, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_new_inp_requires_grad_now, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_nonidempotent_amp, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_input_multi_output_view_should_raise_autograd_error, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_and_returned_different_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_inplace_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_inplace_view_with_detach, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_multi_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_multiple_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_outputs_are_aliased, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_real_weights_in_symbolic_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__and_data_mutation_good, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_single_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_some_output_requires_grad_input_doesnt, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_some_outputs_dont_require_grad_non_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_some_outputs_dont_require_grad_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_squeeze_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_subclass_metadata_mutation_req_grad_False
2025-08-26T20:24:17.5490340Z 
2025-08-26T20:24:19.5638890Z Running test_decomp 5/5 ... [2025-08-26 20:24:19.563694]
2025-08-26T20:24:19.5639580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:24:19.5641650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:24:19.563967]
2025-08-26T20:26:02.8591730Z 
2025-08-26T20:26:02.8592260Z test_decomp 2/5 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_2.5_1e4d5f9b0b7d9788_.log
2025-08-26T20:26:02.8957880Z Running 1863 items in this shard: test/test_decomp.py::TestDecompCPU::test_cat_single_input_cpu, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__batch_norm_with_update_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__native_batch_norm_legit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__native_batch_norm_legit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__upsample_bilinear2d_aa_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__upsample_bilinear2d_aa_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_geometric_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_geometric_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_grid_sampler_2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_grid_sampler_3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_histc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_histc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_histogram_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_histogram_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hypot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_igammac_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_prod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isneginf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isneginf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isposinf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_istft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lcm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lcm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eig_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvalsh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvalsh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_solve_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_solve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_ex_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_hermitian_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_singular_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_singular_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_qr_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_qr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_triangular_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logaddexp2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logaddexp2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logcumsumexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logcumsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logdet_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_and_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_not_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_or_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_or_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_or_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logical_xor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logit_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_logit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_tensor_overload_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_unpack_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_cumsum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logaddexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_median_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_normalize_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_normalize_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_dropout_backward_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_layer_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_neg_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_neg_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_full_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_full_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_full_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nextafter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nextafter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_alpha_dropout_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv2d_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv3d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv_transpose1d_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_conv_transpose1d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_cosine_similarity_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_cosine_similarity_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensordot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensordot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_bfloat16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_addr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_clamp_min_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_index_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_lerp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_linalg_cross_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_masked_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_glu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_hardswish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_norm_nuc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_stack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_sum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_t_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_tril_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_xlogy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_exponential_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float8_e4m3fn, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_frac_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_prelu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_silu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_silu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softplus_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softplus_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softplus_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softplus_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_normal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_slice_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int8, test/test_decomp.py::DecompOneOffTestsCPU::test_elu_backward_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_float64
2025-08-26T20:26:02.9331210Z 
2025-08-26T20:26:04.9276320Z Running functorch/test_ops 2/2 ... [2025-08-26 20:26:04.927437]
2025-08-26T20:26:04.9277070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:26:04.9279190Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:26:04.927729]
2025-08-26T20:27:27.2580450Z 
2025-08-26T20:27:27.2582240Z test_decomp 4/5 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_4.5_1e358882fbb4694f_.log
2025-08-26T20:27:27.2918420Z Running 1751 items in this shard: test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__batch_norm_with_update_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_complex64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_column_stack_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_column_stack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_column_stack_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_combinations_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_complex_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_physical_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_physical_cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumulative_trapezoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_floor_rounding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_floor_rounding_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_frac_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_frexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_int32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_ex_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_det_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_hermitian_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_singular_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_triangular_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log1p_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_log2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_log_softmax_with_dtype_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_solve_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_solve_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_unpack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_median_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_pool2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_pool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_pool3d_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_unpool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_max_unpool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_mse_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_mse_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_normalize_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_circular_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pad_circular_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu6_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_relu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_silu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_soft_margin_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_softmin_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_stft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_stft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sub_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sub_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sub_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_svd_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_svd_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_svd_lowrank_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_along_dim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_along_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_along_dim_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensor_split_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensor_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensordot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensordot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensordot_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapz_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapz_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapz_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapz_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapz_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_triangular_solve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_uniform_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_uint64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_complex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_real_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_real_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_deg2rad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_diagonal_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_dot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_expand_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logaddexp2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logaddexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_roll_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_rsub_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_sgn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_xlog1py_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_take_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_transpose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_unfold_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_normal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_polar_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_renorm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_renorm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_log_ndtr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_log_ndtr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_triu_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_eval_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_train_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_eval_mode_cpu_float64, test/test_decomp.py::DecompOneOffTestsCPU::test_exponential_non_inf_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_decomp.py::DecompOneOffTestsCPU::test_threshold_backward_dtype_cpu
2025-08-26T20:27:27.3233640Z 
2025-08-26T20:27:27.6583370Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-08-26T20:27:27.6584260Z Uploading artifacts took 0.00 seconds
2025-08-26T20:27:29.3375070Z Running test_openmp 1/1 ... [2025-08-26 20:27:29.337363]
2025-08-26T20:27:29.3375820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:27:29.3378350Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_openmp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:29.337640]
2025-08-26T20:27:34.3426540Z 
2025-08-26T20:27:34.3427140Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_4bc2b830dbac060e_.log
2025-08-26T20:27:34.3438090Z Running 2 items in this shard: test/test_openmp.py::TestOpenMP_ParallelFor::test_n_threads, test/test_openmp.py::TestOpenMP_ParallelFor::test_one_thread
2025-08-26T20:27:34.3439290Z 
2025-08-26T20:27:36.4222300Z Running test_fx_experimental 1/1 ... [2025-08-26 20:27:36.422034]
2025-08-26T20:27:36.4223070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:27:36.4225100Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_fx_experimental.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:27:36.422317]
2025-08-26T20:28:03.8806300Z 
2025-08-26T20:28:03.8816650Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_c226228c73b93f0c_.log
2025-08-26T20:28:03.9037980Z Running 724 items in this shard: test/test_fx_experimental.py::TestFXExperimental::test_annotate_getitem_node, test/test_fx_experimental.py::TestFXExperimental::test_annotate_returns_with_schema, test/test_fx_experimental.py::TestFXExperimental::test_aot_based_partition, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_no_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_empty_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_multiline_message, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion_mixed_dtype, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion_not_running_state, test/test_fx_experimental.py::TestFXExperimental::test_cost_aware_partition, test/test_fx_experimental.py::TestFXExperimental::test_fetch, test/test_fx_experimental.py::TestFXExperimental::test_find_single_partition, test/test_fx_experimental.py::TestFXExperimental::test_lack_of_devices, test/test_fx_experimental.py::TestFXExperimental::test_large_node_error, test/test_fx_experimental.py::TestFXExperimental::test_merge_matmuls, test/test_fx_experimental.py::TestFXExperimental::test_meta_tracer, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args_perserve_type, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args_preserve_meta, test/test_fx_experimental.py::TestFXExperimental::test_normalize_binary_operators, test/test_fx_experimental.py::TestFXExperimental::test_normalize_modules_exhaustive, test/test_fx_experimental.py::TestFXExperimental::test_optimize_for_inference_cpu, test/test_fx_experimental.py::TestFXExperimental::test_optimize_for_inference_cpu_torchvision, test/test_fx_experimental.py::TestFXExperimental::test_partition_device_mapping, test/test_fx_experimental.py::TestFXExperimental::test_partition_latency, test/test_fx_experimental.py::TestFXExperimental::test_partition_node_manipulation, test/test_fx_experimental.py::TestFXExperimental::test_replace_target_nodes_with, test/test_fx_experimental.py::TestFXExperimental::test_saturate_host, test/test_fx_experimental.py::TestFXExperimental::test_size_based_partition, test/test_fx_experimental.py::TestFXExperimental::test_sparse_nn_partition, test/test_fx_experimental.py::TestFXExperimental::test_split_module_dead_code, test/test_fx_experimental.py::TestFXExperimental::test_split_module_default_arg, test/test_fx_experimental.py::TestFXExperimental::test_split_module_input_names, test/test_fx_experimental.py::TestFXExperimental::test_split_module_keep_original_order_and_noop_graph, test/test_fx_experimental.py::TestFXExperimental::test_split_module_kwargs_expansion, test/test_fx_experimental.py::TestFXExperimental::test_split_module_return_node, test/test_fx_experimental.py::TestFXExperimental::test_split_module_symint_dependency_handling, test/test_fx_experimental.py::TestFXExperimental::test_split_qualname_mapping, test/test_fx_experimental.py::TestFXExperimental::test_subgraph_creation, test/test_fx_experimental.py::TestFXExperimental::test_subgraph_trivial_resnet, test/test_fx_experimental.py::TestFXExperimental::test_subgraph_uniquename, test/test_fx_experimental.py::TestFXExperimental::test_to_folder, test/test_fx_experimental.py::TestFXExperimental::test_traceable_function_with_nonstandard_name, test/test_fx_experimental.py::TestFXExperimental::test_type_matches, test/test_fx_experimental.py::TestTranslationValidation::test_sat, test/test_fx_experimental.py::TestTranslationValidation::test_sat_bitwise, test/test_fx_experimental.py::TestTranslationValidation::test_sympy_to_z3, test/test_fx_experimental.py::TestTranslationValidation::test_unsat, test/test_fx_experimental.py::TestTranslationValidation::test_z3str, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_args_op_overload_cpu, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_H_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_T_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___getitem___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___radd___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rdiv___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rmatmul___cpu_float32, 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2025-08-26T20:28:03.9248300Z 
2025-08-26T20:28:05.9776040Z Running test_binary_ufuncs 1/1 ... [2025-08-26 20:28:05.977405]
2025-08-26T20:28:05.9776820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:28:05.9779030Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_binary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:28:05.977682]
2025-08-26T20:29:04.6817580Z 
2025-08-26T20:29:04.6818220Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_54a7ed9cbf86eea2_.log
2025-08-26T20:29:04.9844110Z Running 12862 items in this shard: test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_float32, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_trunc_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_trunc_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_trunc_rounding_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_trunc_rounding_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_trunc_rounding_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_trunc_rounding_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_div_trunc_rounding_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_int32, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_float32, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_float16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_min_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_complex_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_complex_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_complex_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_nextafter_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_nextafter_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_nextafter_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_nextafter_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_polar_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_polar_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_u_cpu_int8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cpow_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cpu_tensor_pow_cuda_scalar_tensor_cpu, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divmul_scalar_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int64, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_exceptions_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_scalar_pow_float_tensor_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_scalar_pow_float_tensor_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_float_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_float_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_float_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex128_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex128_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cross_device_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_hypot_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_hypot_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_hypot_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_hypot_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_idiv_and_ifloordiv_vs_python_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_inplace_division_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_inplace_dunders_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_int_and_float_pow_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_int_tensor_pow_neg_ints_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lcm_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lcm_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lcm_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_ldexp_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_lowp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_lowp_cpu_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_lowp_cpu_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_lowp_cpu_float16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_and_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_and_cpu_bfloat16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_and_cpu_bfloat16_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_and_cpu_bfloat16_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_and_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_and_cpu_bfloat16_float32, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_with_nontrivial_alignment_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_long_tensor_pow_floats_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_cross_device_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_forward_ad_float32_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_min_max_binary_op_nan_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_min_max_binary_op_nan_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_mul_chalf_tensor_and_cpu_scalar_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_mul_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_mul_intertype_scalar_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_mul_intertype_scalar_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_bool, 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2025-08-26T20:29:05.2916640Z 
2025-08-26T20:29:06.7953660Z Running torch_np/test_nep50_examples 1/1 ... [2025-08-26 20:29:06.795189]
2025-08-26T20:29:06.7954480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:29:06.7957050Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/test_nep50_examples.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:06.795465]
2025-08-26T20:29:11.4406040Z 
2025-08-26T20:29:11.4407700Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_a39925d3cdd50ee1_.log
2025-08-26T20:29:11.4926980Z Running 1897 items in this shard: test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_3j + array(3, complex64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_True + uint8(2), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array(1_0, float32) + 1e-14 == 1_0, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([0_1], float32) == float64(0_1), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([100], uint8) + 200, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 1, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 200, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 300, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + array(1, int64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + int64(1), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_0], float32) + 1e-14 == 1_0, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + 3, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + array(1_, float64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + float64(1_), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + int64(3), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_bool_(True) + 1, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(1) + 1j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(1) + 3e100, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(5) + 5j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int16(2) + 2, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int16(4) + 4j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int32(1) + 5j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(1) + 2, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(1) + 300, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(100) + 200, 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test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array77_dtype77, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array78_dtype78, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array79_dtype79, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array7_dtype7, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array80_dtype80, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array81_dtype81, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array82_dtype82, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array83_dtype83, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array84_dtype84, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array85_dtype85, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array86_dtype86, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array87_dtype87, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array88_dtype88, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array89_dtype89, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array8_dtype8, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array9_dtype9
2025-08-26T20:29:11.5421010Z 
2025-08-26T20:29:13.5327060Z Running test_module_tracker 1/1 ... [2025-08-26 20:29:13.532517]
2025-08-26T20:29:13.5327830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:29:13.5329940Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_module_tracker.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:13.532795]
2025-08-26T20:29:15.6777810Z 
2025-08-26T20:29:15.6778600Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_98849b715120e62d_.log
2025-08-26T20:29:15.6788840Z Running 3 items in this shard: test/test_module_tracker.py::TestModuleTracker::test_bw_detection, test/test_module_tracker.py::TestModuleTracker::test_confused_hierarchy, test/test_module_tracker.py::TestModuleTracker::test_module_hierarchy
2025-08-26T20:29:15.6789500Z 
2025-08-26T20:29:17.7377310Z Running test_ops 1/3 ... [2025-08-26 20:29:17.737553]
2025-08-26T20:29:17.7378040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:29:17.7380430Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:29:17.737833]
2025-08-26T20:33:05.5440630Z 
2025-08-26T20:33:05.5441240Z test_decomp 5/5 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_5.5_5a7d6fd7e065a8d9_.log
2025-08-26T20:33:05.5785440Z Running 1780 items in this shard: test/test_decomp.py::TestDecompCPU::test_arange_graph_cpu, test/test_decomp.py::TestDecompCPU::test_batch_norm_unflatten_weight_bias_cpu, test/test_decomp.py::TestDecompCPU::test_broadcasting_index_copy_cpu, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_lengths_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_lengths_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bernoulli_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bfloat16_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bfloat16_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_and_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_left_shift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_left_shift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_or_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_or_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_block_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_block_diag_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_bmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bool_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bool_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_to_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_to_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bucketize_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bucketize_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bucketize_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bucketize_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bucketize_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_byte_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_cat_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cauchy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cauchy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_column_stack_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_column_stack_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e4m3fn, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e5m2, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e5m2fnuz, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_frac_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_frexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_frexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_uint16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_uint32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_geometric_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_geqrf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_geqrf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_grid_sampler_2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_grid_sampler_3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_igammac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_imag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_prod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_normalize_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_dropout_backward_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_neg_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_neg_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_neg_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_var_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cauchy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cauchy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_complex_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_complex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_core_backward__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_baddbmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_frac_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nansum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool2d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_rot90_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_sinc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_log_ndtr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_split_with_sizes_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_squeeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_triu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float8_e5m2fnuz, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_frac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_grid_sampler_2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_igamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_igamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_silu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_polar_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_renorm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_neg_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tril_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_train_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_eval_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_train_mode_cpu_float64, test/test_decomp.py::DecompOneOffTestsCPU::test_contiguous_log_softmax_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_rms_norm_decomp_cuda_cpu, test/test_decomp.py::HasDecompTest::test_aten_core_operators, test/test_decomp.py::HasDecompTest::test_has_decomposition
2025-08-26T20:33:05.6106570Z 
2025-08-26T20:33:07.6969200Z Running test_ops 2/3 ... [2025-08-26 20:33:07.696740]
2025-08-26T20:33:07.6969890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:33:07.6972240Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:33:07.697036]
2025-08-26T20:34:44.4471240Z 
2025-08-26T20:34:44.4471740Z functorch/test_ops 2/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_2.2_5f74b7b5143d434b_.log
2025-08-26T20:34:44.5650960Z Running 5021 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_binary_cross_entropy_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_dot_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fmax_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_grad_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_hash_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_grid_sampler_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_hash_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_bool_raises_floor_cpu_bool, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_bool_raises_topk_cpu_bool, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_amax_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_amax_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_amin_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_amin_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_argmax_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_argmin_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_argmin_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_ceil_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_clamp_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_clamp_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_clamp_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_floor_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_ge_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_ge_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_gt_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_gt_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_gt_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_le_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_le_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_le_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_maximum_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_minimum_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_sort_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_topk_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_topk_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_topk_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_tensor_with_scalar_list_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_T_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_T_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_broadcast_to_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_broadcast_to_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_conj_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_contiguous_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_diagonal_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_dsplit_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_hsplit_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_split_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_split_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_unbind_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_vsplit_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_vsplit_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_mH_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_mH_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_mT_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_movedim_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_movedim_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_narrow_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_permute_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_permute_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_positive_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_positive_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_real_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_real_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_reshape_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_resolve_conj_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_transpose_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_transpose_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unfold_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_as_complex_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_as_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_as_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_grid_sampler_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_rad2deg_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_diagflat_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_householder_product_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mode_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_l1_loss_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_prod_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__segment_reduce_lengths_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_jiterator_binary_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_CubeGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ForwardHasDefaultArgsAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_MulGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyCubeAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyCubeNotComposableAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyExpMarkDirtyAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyMulAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpySortAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SelectAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SelectGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SortGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_T_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ZeroGradientsGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmatmul___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmod___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmul___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rpow___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__batch_norm_with_update_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__chunk_cat_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__native_batch_norm_legit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__segment_reduce_offsets_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__unsafe_masked_index_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__upsample_bilinear2d_aa_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_abs_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_add_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addbmm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addcdiv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addcmul_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_alias_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_all_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_amax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_any_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_arange_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argwhere_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_asin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_asinh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atan2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atan_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bfloat16_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bfloat16_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bucketize_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cat_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cauchy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cdist_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cfloat_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_chalf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_char_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_max_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_min_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_column_stack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_conj_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_contiguous_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_copysign_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_corrcoef_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cos_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_count_nonzero_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cummax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cummin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumsum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_deg2rad_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diag_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diag_embed_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagflat_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diff_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dist_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_floor_rounding_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_double_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_double_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dsplit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dstack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_einsum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_strided_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_equal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_as_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expm1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_eye_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fftn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifftn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfftn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfftn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flatten_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flip_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fliplr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flipud_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_floor_divide_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_frexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_full_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_full_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_geqrf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gradient_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_grid_sampler_3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hash_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hypot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_i0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_igamma_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_igammac_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_add_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_put_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_amin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_select_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isclose_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isinf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isnan_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isneginf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_item_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_binary_return_by_ref_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_kron_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_le_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_det_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_diagonal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eig_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigvalsh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_inv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_factor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_power_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_singular_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_slogdet_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_svdvals_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_tensorinv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log1p_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_normal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logaddexp2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logcumsumexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_or_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_xor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logspace_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logspace_tensor_overload_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logsumexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_long_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_long_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_unpack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mH_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_amin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_argmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_argmin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_cumprod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_fill_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_fill_functorch_Scalar_only_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_log_softmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_logsumexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_normalize_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_softmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matrix_exp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_binary_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_pool2d_with_indices_backward_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_reduction_no_dim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_reduction_with_dim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_meshgrid_list_of_tensors_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_with_dim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_movedim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_msort_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mul_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_5_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nan_to_num_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_batch_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_layer_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ne_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_empty_strided_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_full_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_ones_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nextafter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_max_pool1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_max_pool2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_avg_pool1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_avg_pool2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_avg_pool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_bilinear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_binary_cross_entropy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_celu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_groups_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_padding_no_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cosine_embedding_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_fractional_max_pool2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_fractional_max_pool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_gaussian_nll_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_grid_sample_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_group_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardtanh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hinge_embedding_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_area_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_nearest-exact_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_nearest_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_l1_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_layer_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_linear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_local_response_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_logsigmoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool2d_grad_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mse_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multilabel_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_normalize_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_reflect_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_replicate_negative_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pixel_shuffle_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_poisson_nll_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_prelu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_relu6_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_relu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_rms_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_rrelu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_selu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softmin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softmin_with_dtype_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softshrink_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softsign_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_upsample_bilinear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_upsample_nearest_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nonzero_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_inf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_in_place_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_number_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ones_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ones_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ormqr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pca_lowrank_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_permute_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_permute_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_3_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_4_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_put_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_qr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_quantile_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rad2deg_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randint_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randn_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_real_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_renorm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_repeat_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_repeat_interleave_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resize__cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resolve_conj_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_3_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rsqrt_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rsub_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_add_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_amin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_select_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_short_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_short_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sigmoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sign_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_bartlett_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_cosine_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_hann_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_kaiser_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_nuttall_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sinc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sinh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_slice_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_softmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_softmax_with_dtype_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sort_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_j1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_t_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_u_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i0e_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_i0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_i1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_k0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_ndtri_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_polygamma_special_polygamma_n_0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_scaled_modified_bessel_k1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_u_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_v_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_xlog1py_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_with_sizes_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_square_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_multiple_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_unbiased_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sub_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_svd_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_t_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tanh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tensor_split_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_to_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_to_sparse_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_topk_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_torch_ops_aten__safe_softmax_default_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trace_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_transpose_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trapezoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trapz_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_triangular_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_true_divide_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unfold_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unfold_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_uniform_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unique_consecutive_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsqueeze_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_unbiased_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vstack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_where_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_xlogy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zero__cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_hash_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_median_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_narrow_copy_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_reshape_as_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_hash_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_hash_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_grid_sampler_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_NumpyTakeAutogradFunction_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_permute_copy_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_std_mean_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_has_batch_rule_zero__cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_grid_sampler_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log10_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_std_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sign_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvmapjvp_linalg_solve_cpu
2025-08-26T20:34:44.6775400Z 
2025-08-26T20:34:46.5830250Z Running test_jiterator 1/1 ... [2025-08-26 20:34:46.582849]
2025-08-26T20:34:46.5830990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:34:46.5833350Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_jiterator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:46.583149]
2025-08-26T20:34:48.7596150Z 
2025-08-26T20:34:48.7597150Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_e6d90367c1672a1c_.log
2025-08-26T20:34:48.7605950Z Running 0 items in this shard:
2025-08-26T20:34:48.7606100Z 
2025-08-26T20:34:50.8784080Z Running functorch/test_ac 1/1 ... [2025-08-26 20:34:50.878200]
2025-08-26T20:34:50.8784830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:34:50.8786720Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:50.878482]
2025-08-26T20:34:53.4302150Z 
2025-08-26T20:34:53.4303120Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_41253b103bad6e77_.log
2025-08-26T20:34:53.4303560Z 
2025-08-26T20:34:55.5346280Z Running test_cuda_sanitizer 1/1 ... [2025-08-26 20:34:55.534426]
2025-08-26T20:34:55.5347060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:34:55.5349130Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:55.534708]
2025-08-26T20:34:57.5900800Z 
2025-08-26T20:34:57.5902200Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_4f4844d0f75651f9_.log
2025-08-26T20:34:57.5910590Z Running 0 items in this shard:
2025-08-26T20:34:57.5911530Z 
2025-08-26T20:34:59.7852810Z Running dynamo/test_nested_graph_breaks 1/1 ... [2025-08-26 20:34:59.785070]
2025-08-26T20:34:59.7853660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:34:59.7855920Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'dynamo/test_nested_graph_breaks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:34:59.785363]
2025-08-26T20:35:02.9202090Z 
2025-08-26T20:35:02.9203940Z dynamo/test_nested_graph_breaks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_nested_graph_breaks_1.1_21fb9f648aa0d546_.log
2025-08-26T20:35:02.9224630Z Running 13 items in this shard: test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_cells, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_differing_arg_nums, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_differing_locals_nums, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_doubly_nested_graph_break, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_inactive_ctx_manager, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_nested_graph_break_in_loop, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_no_recompiles, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_side_effects_cells, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_side_effects_globals, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_side_effects_globals_different_module, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_single_graph_break, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_single_graph_break_repeat, test/dynamo/test_nested_graph_breaks.py::NestedGraphBreakTests::test_supported_ctx_manager
2025-08-26T20:35:02.9228310Z 
2025-08-26T20:35:05.1500710Z Running test_functional_optim 1/1 ... [2025-08-26 20:35:05.149911]
2025-08-26T20:35:05.1501510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:35:05.1503900Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_functional_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:05.150203]
2025-08-26T20:35:07.2492830Z 
2025-08-26T20:35:07.2494590Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_07bb39c0410716af_.log
2025-08-26T20:35:07.2506850Z Running 4 items in this shard: test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_adam, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_adam_w, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_sgd, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_registration
2025-08-26T20:35:07.2508000Z 
2025-08-26T20:35:09.5101520Z Running profiler/test_execution_trace 1/1 ... [2025-08-26 20:35:09.509977]
2025-08-26T20:35:09.5102600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:35:09.5105080Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'profiler/test_execution_trace.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:09.510271]
2025-08-26T20:35:11.8738020Z 
2025-08-26T20:35:11.8739060Z profiler/test_execution_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_execution_trace_1.1_8305fafadc153e3e_.log
2025-08-26T20:35:11.8754040Z Running 13 items in this shard: test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_alone_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_env_disabled_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_env_enabled_with_kineto_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_env_enabled_with_pt2_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_nested_tensor_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_no_capture_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_record_integral_tensor_data_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_record_integral_tensor_range_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_repeat_in_loop_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_start_stop_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_with_kineto_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_with_pt2_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_triton_fx_graph_with_et_cpu
2025-08-26T20:35:11.8758110Z 
2025-08-26T20:35:14.1011060Z Running test_futures 1/1 ... [2025-08-26 20:35:14.100909]
2025-08-26T20:35:14.1011780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:35:14.1014440Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_futures.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:14.101196]
2025-08-26T20:35:16.9349030Z 
2025-08-26T20:35:16.9350030Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_e7db1d21c91566b0_.log
2025-08-26T20:35:16.9363000Z Running 22 items in this shard: test/test_futures.py::TestFuture::test_add_done_callback_error_is_ignored, test/test_futures.py::TestFuture::test_add_done_callback_maintains_callback_order, test/test_futures.py::TestFuture::test_add_done_callback_no_arg_error_is_ignored, test/test_futures.py::TestFuture::test_add_done_callback_simple, test/test_futures.py::TestFuture::test_chained_then, test/test_futures.py::TestFuture::test_collect_all, test/test_futures.py::TestFuture::test_done, test/test_futures.py::TestFuture::test_done_exception, test/test_futures.py::TestFuture::test_interleaving_then_and_add_done_callback_maintains_callback_order, test/test_futures.py::TestFuture::test_interleaving_then_and_add_done_callback_propagates_error, test/test_futures.py::TestFuture::test_mark_future_twice, test/test_futures.py::TestFuture::test_pickle_future, test/test_futures.py::TestFuture::test_set_exception, test/test_futures.py::TestFuture::test_set_exception_multithreading, test/test_futures.py::TestFuture::test_then, test/test_futures.py::TestFuture::test_then_no_arg, test/test_futures.py::TestFuture::test_then_raise, test/test_futures.py::TestFuture::test_then_wrong_arg, test/test_futures.py::TestFuture::test_wait, test/test_futures.py::TestFuture::test_wait_all, test/test_futures.py::TestFuture::test_wait_multi_thread, test/test_futures.py::TestFuture::test_wait_none
2025-08-26T20:35:16.9366420Z 
2025-08-26T20:35:19.0414200Z Running test_linalg 1/1 ... [2025-08-26 20:35:19.041228]
2025-08-26T20:35:19.0414910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:35:19.0417020Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_linalg.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:35:19.041502]
2025-08-26T20:36:22.4980290Z 
2025-08-26T20:36:22.4981910Z test_ops 1/3 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.3_7a730104ed654d76_.log
2025-08-26T20:36:22.7477550Z Running 11335 items in this shard: test/test_ops.py::TestSelfKwarg::test_self_kwargs, test/test_ops.py::TestCommonCPU::test_compare_cpu_H_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmod___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rxor___cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__batch_norm_with_update_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_bool_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_byte_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_cdouble_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_cfloat_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_double_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_addcdiv_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_addcmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_arange_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_as_strided_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_atleast_1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_contiguous_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_diag_embed_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_diagonal_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_empty_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_empty_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_expand_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_expand_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_exponential_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fft_fftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_flip_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_geometric_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_hsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_igamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_index_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_istft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_lerp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_linalg_vector_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_logspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_masked_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_narrow_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_repeat_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_reshape_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_select_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_special_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_special_zeta_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_split_with_sizes_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_std_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_stft_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_unfold_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_unsqueeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_var_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_vdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_view_as_complex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__softmax_backward_data_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_alias_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_argsort_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_as_strided_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_as_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_baddbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_bernoulli_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_bfloat16_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_bincount_cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu_bitwise_left_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu_bmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_byte_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cartesian_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cdouble_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_chalf_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cholesky_inverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_constant_pad_nd_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cummax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_double_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_einsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_exponential_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_flip_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_flipud_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_full_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_gather_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_grid_sampler_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_histc_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_hsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_put_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_cond_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_eigvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_inv_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_matrix_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_multi_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_lu_unpack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_matmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_mul_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nanquantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_new_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_new_empty_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_margin_ranking_loss_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nonzero_static_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_normal_in_place_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_ormqr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_outer_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_pca_lowrank_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_reshape_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_resize__cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_scatter_reduce_prod_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_atleast_2d_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_bfloat16_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_block_diag_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_cfloat_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_chalf_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_char_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_column_stack_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_conj_physical_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_contiguous_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_double_cpu_complex32, 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test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_new_empty_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_nonzero_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_nonzero_static_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_norm_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_norm_inf_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_ones_like_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_permute_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_positive_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_randn_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_ravel_cpu_complex32, 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test/test_ops.py::TestCommonCPU::test_dtypes__refs_fmax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_hsplit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_i0_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_igamma_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_imag_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_index_fill_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_isinf_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_isnan_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_isposinf_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_le_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_linalg_diagonal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_linalg_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_linalg_svdvals_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_linalg_vecdot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_linspace_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_log10_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_log_softmax_with_dtype_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_logical_and_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_logical_xor_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_logspace_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_lt_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_maximum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_mean_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_minimum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_mul_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_narrow_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_ne_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_new_empty_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_new_empty_strided_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_new_full_cpu, 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test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_smooth_l1_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_softmax_with_dtype_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_softplus_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_threshold_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_triplet_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_positive_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_prod_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_ravel_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_real_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_reciprocal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_reshape_as_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_rot90_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_rsub_cpu, 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test/test_ops.py::TestCommonCPU::test_errors_special_chebyshev_polynomial_v_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_chebyshev_polynomial_w_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_shifted_chebyshev_polynomial_t_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_zeta_cpu, test/test_ops.py::TestCommonCPU::test_errors_sub_cpu, test/test_ops.py::TestCommonCPU::test_errors_triu_cpu, test/test_ops.py::TestCommonCPU::test_errors_vsplit_cpu, test/test_ops.py::TestCommonCPU::test_errors_vstack_cpu, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch__chunk_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_abs_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addmv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_asinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_atanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_bernoulli_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_bmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_bucketize_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cholesky_inverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_clamp_max_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_complex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_conj_physical_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cosh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_diff_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_eq_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_erfinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_exp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_hfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_hfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_hfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_irfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_floor_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ge_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_geqrf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_gt_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_heaviside_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_histc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_histogram_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_histogramdd_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_kthvalue_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lerp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lgamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_eigvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_inv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_lu_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_multi_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log10_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logcumsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logical_and_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logical_not_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logical_or_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lu_unpack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_max_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_maximum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mul_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nextafter_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_softplus_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_norm_fro_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_pow_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_randn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_reciprocal_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_decimals_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_decimals_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sort_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_airy_ai_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_log_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_t_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_unsqueeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_vdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_where_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_xlogy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_H_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___getitem___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rand___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rdiv___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmul___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rpow___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rsub___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rsub___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rxor___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__chunk_cat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addcdiv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addcmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addcmul_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_decomposed_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_decomposed_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmv_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_aminmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_angle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_argwhere_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_asin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_asin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bincount_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_or_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_right_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_xor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_block_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_block_diag_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bool_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bucketize_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_byte_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_byte_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cartesian_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ceil_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cfloat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_min_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clone_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_column_stack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_conj_physical_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_corrcoef_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cos_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cov_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cov_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cross_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumulative_trapezoid_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_deg2rad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_deg2rad_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diag_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagflat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagflat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_digamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_no_rounding_mode_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_trunc_rounding_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_dot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_double_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_double_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_dsplit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_permuted_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_permuted_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_equal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_erfc_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_erfinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_erfinv_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fftshift_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifftshift_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fill_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_flip_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_flipud_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_floor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_frac_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ge_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_geometric_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_half_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hash_tensor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_heaviside_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_histc_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hsplit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_hypot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_i0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_select_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isnan_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isneginf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isneginf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isreal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isreal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_item_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_lerp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_diagonal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_householder_product_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_multi_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_slogdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_solve_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_vander_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_tensor_overload_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logcumsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_xor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_long_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_long_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lt_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_cumsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_logsumexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_select_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_sum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_matmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_maximum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_maximum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_movedim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_movedim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_msort_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_msort_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mul_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mv_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nan_to_num_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nansum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_narrow_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_narrow_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_native_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_native_dropout_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ne_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_empty_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_full_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_ones_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_bilinear_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_celu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_channel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_embedding_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_poisson_nll_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_prelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_selu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_silu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_tanhshrink_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nonzero_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nonzero_static_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ormqr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_pca_lowrank_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_positive_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_put_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_put_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rad2deg_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rand_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_randn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_randn_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_remainder_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_repeat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_repeat_interleave_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_reshape_as_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_resolve_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_roll_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_decimals_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_decimals_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rsub_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sgn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_short_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sigmoid_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_blackman_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_exponential_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinc_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sort_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sort_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_u_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_entr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_entr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i1e_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_log_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_i0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_i1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_k1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_scaled_modified_bessel_k0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_xlog1py_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_zeta_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_list_args_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_with_sizes_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_with_sizes_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_stack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_to_size_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_take_along_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_take_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_to_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_trace_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_transpose_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_trapezoid_cpu_int64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_exp_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expand_as_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expand_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expand_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expand_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_eye_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfft2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfft_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifft2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifft_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ihfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ihfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_irfft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_irfftn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_irfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_rfft_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fill_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fliplr_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fliplr_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_flipud_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_flipud_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_float_power_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_floor_divide_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_frexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_full_cpu_int64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_heaviside_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_heaviside_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_histogram_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_hsplit_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_hstack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_hstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_hypot_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_imag_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_add_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_put_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_amax_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_select_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_inner_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_inner_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_int_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isfinite_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isinf_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isreal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_4inputs_with_extra_args_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_binary_return_by_ref_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_kthvalue_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_kthvalue_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ldexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ldexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cholesky_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cond_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cross_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_det_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_diagonal_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_eigh_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_inv_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_ldl_factor_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_ldl_factor_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_ldl_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lstsq_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lstsq_grad_oriented_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_factor_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_matrix_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_matrix_power_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_matrix_rank_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_pinv_singular_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_slogdet_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_slogdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_solve_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_tensorsolve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_vander_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_vander_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_vector_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_vector_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linspace_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log10_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log2_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_softmax_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logcumsumexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logcumsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logdet_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_and_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_not_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_not_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_or_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_or_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_xor_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_xor_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logspace_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logsumexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mT_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_amax_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_argmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_cumsum_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_fill_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_logsumexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_mean_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_prod_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_scatter_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_std_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_matmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_matmul_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_matrix_exp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_matrix_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_max_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_median_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_min_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_msort_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_multinomial_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nanquantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nansum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_narrow_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_native_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_native_layer_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ne_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ne_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_ones_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_zeros_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_channel_shuffle_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv2d_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv3d_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_cosine_embedding_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_elu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_embedding_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_fractional_max_pool3d_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_pool3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_circular_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_constant_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_reflect_cpu_complex64, 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test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_acos_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_addr_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_atan_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_atanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_baddbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_bmm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_bmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_cholesky_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_cholesky_inverse_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_clamp_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_column_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_conj_physical_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_cummin_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_cumsum_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_digamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_div_no_rounding_mode_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_erf_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_ihfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_float_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_frexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_hstack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_select_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_kron_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_solve_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_svd_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_svdvals_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_vector_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linspace_tensor_overload_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log10_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log1p_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logcumsumexp_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nanmean_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nansum_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_native_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_softplus_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_norm_fro_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_norm_inf_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_outer_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_outer_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_pow_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_rad2deg_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_round_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_add_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sgn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sgn_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sigmoid_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sign_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_slice_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sort_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_erfcx_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_i0e_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_xlog1py_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_split_with_sizes_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_square_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_squeeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_stack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_svd_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_take_along_dim_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_take_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_take_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tan_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tensordot_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tril_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_triu_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_trunc_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_unfold_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_unsqueeze_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_vdot_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_vdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_vstack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_xlogy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_reshape_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_resolve_conj_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_rot90_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_rsqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_sgn_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_signal_windows_cosine_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_signal_windows_exponential_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_signal_windows_hann_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_sinc_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_sinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_bessel_y0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_entr_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_i0e_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_out_tile_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_trapezoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_tril_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_out_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_unique_consecutive_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_unravel_index_cpu_int64, test/test_ops.py::TestCommonCPU::test_out_var_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_var_mean_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_var_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_vdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_warning___rpow___cpu, test/test_ops.py::TestCommonCPU::test_out_warning___rxor___cpu, test/test_ops.py::TestCommonCPU::test_out_warning__batch_norm_with_update_cpu, 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test/test_ops.py::TestMathBitsCPU::test_conj_view_chalf_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_conj_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_conj_physical_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_corrcoef_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cos_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cosh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cross_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cumsum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diag_embed_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diagonal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diagonal_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_dist_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_dot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_double_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_empty_permuted_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_expand_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_expm1_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_eye_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_fft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_ifftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_irfftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fliplr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_flipud_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_gather_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_gradient_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_half_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_add_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_fill_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_inner_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isnan_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_item_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_jiterator_2inputs_2outputs_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ldexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cholesky_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cond_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eigh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_householder_product_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_factor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_multi_dot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_solve_triangular_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_vander_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linspace_tensor_overload_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logical_not_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logical_xor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_lu_unpack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mT_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_cumprod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_cumsum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_fill_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_normalize_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_var_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_empty_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv1d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv_transpose2d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv_transpose3d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_circular_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_reflect_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pairwise_distance_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_softmin_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_softsign_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_triplet_margin_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_normal_in_place_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_pca_lowrank_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_permute_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_positive_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_put_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_repeat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_reshape_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_resize_as__cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_scalar_tensor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_scatter_add_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sin_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sinc_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_slice_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sparse_sampled_addmm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_squeeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_squeeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_squeeze_multiple_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_stack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_take_along_dim_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tan_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tile_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_to_sparse_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_trapezoid_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_trapz_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unbind_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unfold_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsafe_chunk_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsafe_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_view_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_zeros_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_T_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rdiv___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rmul___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rpow___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_bfloat16_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_bool_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_addr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_alias_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_allclose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_asinh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atanh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atleast_1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_block_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_broadcast_to_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_constant_pad_nd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_count_nonzero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cumprod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diag_embed_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diagonal_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diagonal_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_dstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_exp2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_fftshift_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_hfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_ifft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_ifft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_ifftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_irfft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_irfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_flipud_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_float_power_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_hsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_hstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_imag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_index_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isfinite_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isinf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_istft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_vector_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logaddexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logical_and_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logical_xor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_masked_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_mul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_ne_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_neg_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_channel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_l1_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_pixel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_pixel_unshuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_softmin_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_tanhshrink_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_permute_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_randn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_renorm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_repeat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_rsqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sgn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_squeeze_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_tan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_trace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_triu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unbind_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unflatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unsqueeze_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_var_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_var_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_view_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_view_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_vsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_where_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_zeros_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_abs_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addcdiv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addcmul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmm_decomposed_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_alias_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_angle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_any_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_argwhere_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_as_strided_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atleast_1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atleast_2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cholesky_inverse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_combinations_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_constant_pad_nd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_count_nonzero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cumulative_trapezoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagflat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_double_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_permuted_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_eq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_equal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_exp2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expand_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_eye_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_fftshift_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_hfft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_ifftshift_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_flatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fliplr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_float_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_float_power_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_full_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_hstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_select_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isfinite_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isinf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_unary_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ldexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_cholesky_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_eig_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_householder_product_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_factor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_factor_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lu_factor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lu_factor_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_matrix_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_matrix_rank_hermitian_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_pinv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_pinv_singular_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_qr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_tensorsolve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_vecdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log10_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_xor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logsumexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lu_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lu_unpack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_cumsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_var_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv_transpose2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_reflect_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pixel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_rms_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_silu_complex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nonzero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_fro_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_inf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_nuc_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_normal_in_place_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_permute_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_randn_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ravel_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_repeat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_reshape_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resize__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resolve_neg_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_roll_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_rot90_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sgn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_short_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sinc_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sinh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_split_with_sizes_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_squeeze_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_t_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_take_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tile_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_transpose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_triangular_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tril_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_triu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unbind_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unflatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_uniform_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsafe_chunk_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsqueeze_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zero__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view_H_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___radd___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rmod___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rmul___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_cdouble_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_half_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_long_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_polar_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_short_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_abs_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_add_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_addcdiv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_addcmul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_allclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_amax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_arange_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_asin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atanh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atleast_3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_broadcast_to_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_bucketize_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_chunk_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_clamp_min_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_clone_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_column_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_conj_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_copysign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cosh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_deg2rad_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_div_floor_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_equal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_erf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_exp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_exponential_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_eye_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_rfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_flatten_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_flipud_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_float_power_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fmod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_geometric_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_hstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isfinite_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isnan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isposinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isreal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_cross_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log10_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_or_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_xor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logspace_tensor_overload_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_masked_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_maximum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_minimum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_mul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_narrow_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_full_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_zeros_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_alpha_dropout_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_glu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_hardshrink_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_hinge_embedding_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_l1_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_leaky_relu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_mish_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_pdist_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_pixel_unshuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_selu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_tanhshrink_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_threshold_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_triplet_margin_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_randn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ravel_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_real_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_reciprocal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_remainder_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_renorm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_reshape_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_rot90_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_rsqrt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_select_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sgn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_bessel_j1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_entr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_erfcx_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_ndtri_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_spherical_bessel_j0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_xlog1py_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_zeta_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_std_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sum_to_size_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_t_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tanh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tensor_split_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_to_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_transpose_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_transpose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unfold_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unfold_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unsqueeze_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unsqueeze_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_var_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_view_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__segment_reduce_offsets_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_abs_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_acos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addcdiv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addcmul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addmm_decomposed_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_allclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_aminmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_argmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_argmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atanh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atleast_1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atleast_2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_bernoulli_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_broadcast_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_byte_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cartesian_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cdouble_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_chunk_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_clamp_max_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_copysign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cov_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cumulative_trapezoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diagonal_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diff_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_dist_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_floor_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_trunc_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_dstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_permuted_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_erfc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exponential_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_eye_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_hfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ihfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ihfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_irfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_irfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_rfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_rfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fliplr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_float_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_float_power_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_floor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_floor_divide_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_frac_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_heaviside_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_histogramdd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_hsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_hypot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_i0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_put_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_reduce_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isfinite_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isnan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_item_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_binary_return_by_ref_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_kron_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lerp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_cholesky_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_cholesky_ex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_cross_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eigh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eigvals_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_householder_product_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_ldl_factor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_ldl_factor_ex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_ldl_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lstsq_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lstsq_grad_oriented_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_pinv_singular_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_qr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_solve_ex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_tensorinv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vander_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logaddexp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logdet_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logical_and_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logical_not_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logical_or_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logspace_tensor_overload_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_long_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lu_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mH_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_logsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_normalize_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_std_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_median_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_min_reduction_with_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mode_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_movedim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_multinomial_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nanquantile_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_narrow_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_native_batch_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_native_dropout_backward_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_binary_cross_entropy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_celu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv_transpose2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv_transpose3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_cosine_embedding_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_cosine_similarity_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_dropout2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_embedding_bag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_embedding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_fractional_max_pool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_glu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_group_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_hardshrink_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_hinge_embedding_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_layer_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_pool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool2d_grad_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_mish_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_mse_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_multi_margin_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_multilabel_margin_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_nll_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_circular_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_constant_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pairwise_distance_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pdist_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_poisson_nll_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_silu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_softmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_softsign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_unfold_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ones_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_pinverse_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polar_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_4_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_positive_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_put_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_quantile_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_remainder_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_renorm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_repeat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_reshape_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_resize__cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_resolve_conj_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_roll_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_round_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_round_decimals_neg_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_rsub_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scatter_reduce_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scatter_reduce_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scatter_reduce_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_short_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_exponential_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_hann_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signbit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sparse_mm_reduce_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_chebyshev_polynomial_u_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_chebyshev_polynomial_w_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_i0e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_laguerre_polynomial_l_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_modified_bessel_k1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_ndtri_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_scaled_modified_bessel_k0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_shifted_chebyshev_polynomial_u_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_xlog1py_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_split_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_squeeze_multiple_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_std_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_std_unbiased_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sum_to_size_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_take_along_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_take_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_tile_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_to_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_trace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_transpose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_tril_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_trunc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unbind_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unflatten_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_var_mean_unbiased_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_view_as_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_view_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_view_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_vsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_vstack_cpu_float64, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_byte_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_cfloat_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_char_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_complex_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_float_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_short_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_abs_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_addcmul__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_addcmul_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_alias_copy_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_alias_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_asin_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_atan__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_atanh__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_atleast_2d_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_atleast_3d_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_bitwise_left_shift__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_bitwise_not_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_bitwise_or__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_block_diag_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_broadcast_shapes_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_broadcast_tensors_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_broadcast_to_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_ceil__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_clamp_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_clamp_max__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_conj_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_conj_physical_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_constant_pad_nd_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_contiguous_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_copysign_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_cos__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_cosh__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_count_nonzero_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_cumprod_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_deg2rad__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_diagonal_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_div__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_div_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_dstack_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_empty_strided_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_eq_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_equal_cpu, 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test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_multinomial_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ne_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_new_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_new_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_new_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_prelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ones_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rand_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ravel_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_remainder_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_bessel_j1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_zeta_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tril_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_trunc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unique_consecutive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unique_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unsqueeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_xlogy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_baddbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_and_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_not_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_xor_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bool_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_broadcast_shapes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bucketize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_byte_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cauchy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cfloat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_char_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cholesky_inverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cholesky_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clamp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clamp_min_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_combinations_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___radd___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rdiv___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rmod___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__batch_norm_with_update_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_acosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_angle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_as_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_asinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atleast_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_baddbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cartesian_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cdouble_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cfloat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_column_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_combinations_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_constant_pad_nd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_contiguous_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_copysign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cummin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_deg2rad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diag_embed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_digamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_div_trunc_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_erfc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_fft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_fftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_hfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ifft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_irfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fmod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_grid_sampler_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_half_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_hstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_det_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_householder_product_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_matrix_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_maximum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_prelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_threshold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polar_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rot90_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_entr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unsqueeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_xlogy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rmatmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_asin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atan2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_broadcast_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cfloat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cholesky_inverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_column_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_deg2rad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_div_trunc_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_hfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_hfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ifft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ihfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_rfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fmod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_lerp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_eigh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_vander_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_log1p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_log_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_maximum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softplus_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_remainder_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unfold_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_view_as_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diag_embed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_digamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_erfc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_fftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_hfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_hfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_flatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_floor_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_frac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ge_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_heaviside_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_histogram_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_igamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_int_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isclose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isnan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isneginf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isreal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lerp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log1p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_not_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_long_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_maximum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ne_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nextafter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nonzero_static_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polar_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ravel_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_remainder_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_repeat_interleave_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rot90_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_searchsorted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_short_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sinc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_entr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_scaled_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_zeta_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unfold_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unique_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unravel_index_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_view_as_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_zeros_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rxor___cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_abs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_acos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_acosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addcdiv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addmm_decomposed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_alias_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_aminmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_arange_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_as_strided_partial_views_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_as_strided_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_asinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_left_shift_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bool_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_broadcast_shapes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_broadcast_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cdouble_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cfloat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cholesky_inverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clamp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clamp_min_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_combinations_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_count_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cov_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diag_embed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_empty_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ihfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_floor_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_geometric_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_geqrf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_histogram_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_histogramdd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_hstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_igammac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isposinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lcm_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ldexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eigh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_not_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_maximum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_multinomial_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_prelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nonzero_static_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_normal_in_place_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ones_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polar_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rand_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randn_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ravel_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rot90_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_short_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signbit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sinc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_bessel_y1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_entr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_scaled_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_zeta_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unique_consecutive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_vstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_uint8, test/test_ops.py::TestTagsCPU::test_tags___getitem___cpu_float32, 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test/test_ops.py::TestTagsCPU::test_tags__refs_bitwise_or_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_bitwise_right_shift_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_broadcast_to_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_bucketize_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cauchy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_chunk_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_clamp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_clamp_max_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_clone_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_column_stack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_conj_physical_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cumprod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cumsum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_deg2rad_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_digamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_div_floor_rounding_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_dstack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_empty_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_erfc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_exp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_expand_as_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_expm1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_fft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_hfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_ifft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_ihfft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_ihfftn_cpu_float32, 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test/test_ops.py::TestTagsCPU::test_tags__refs_isfinite_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_item_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linalg_vecdot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linalg_vector_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linspace_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_log2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_log_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_log_normal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logaddexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logical_and_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logical_xor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_maximum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nan_to_num_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_narrow_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_new_empty_strided_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_celu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_glu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_mish_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_relu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_selu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_normal__in_place_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_normal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_ones_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_permute_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_prod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_ravel_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_real_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_reciprocal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_reshape_as_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_select_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sinh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_bessel_j0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_entr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_i0e_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_i1e_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_multigammaln_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sqrt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_take_along_dim_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_tensor_split_cpu_float32, 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test/test_ops.py::TestTagsCPU::test_tags_cat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cdouble_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_chalf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cholesky_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cholesky_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_clamp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_clamp_max_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_conj_physical_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_copysign_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_corrcoef_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cos_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cosh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_deg2rad_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_diag_embed_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_diff_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_dist_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_dot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_double_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_dsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_dstack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_empty_like_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_eq_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_erf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_expand_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_expand_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_fftshift_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_hfft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_ihfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_irfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_rfft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_flipud_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_floor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fmin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_gt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_half_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_hash_tensor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_heaviside_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_hsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_hypot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_fill_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_reduce_amin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_reduce_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_reduce_prod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_select_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_isin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_item_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_jiterator_binary_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_jiterator_unary_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_diagonal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_eigvals_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_inv_ex_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_lu_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_matrix_power_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_svd_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_vander_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_vecdot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logcumsumexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logical_not_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logspace_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logsumexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lu_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lu_unpack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_argmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_cumprod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_log_softmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_logaddexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_std_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_var_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_matrix_exp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_max_binary_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_maximum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_median_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_mv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nan_to_num_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nansum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_narrow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_native_dropout_backward_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_neg_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_new_empty_strided_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nextafter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_elu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_linear_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_mish_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_normalize_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pdist_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_relu6_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_selu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_silu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_softmin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_unfold_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_norm_inf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ormqr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_pow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_prod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_put_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_quantile_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_randint_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ravel_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_resolve_conj_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_roll_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_round_decimals_3_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_add_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_searchsorted_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sigmoid_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_exponential_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sinc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_slice_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_bessel_j1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_bessel_y0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_erfcx_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_i0e_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_xlog1py_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_split_list_args_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sum_to_size_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_svd_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_t_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tan_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_trapezoid_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_trapz_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tril_indices_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_unflatten_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unfold_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unique_consecutive_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unravel_index_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_var_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_var_unbiased_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_view_as_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_view_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_vsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_xlogy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_zero__cpu_float32
2025-08-26T20:36:22.9904730Z 
2025-08-26T20:36:26.1691490Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2025-08-26 20:36:26.168930]
2025-08-26T20:36:26.1692380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:36:26.1696130Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'benchmark_utils/test_benchmark_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:26.169363]
2025-08-26T20:36:30.3886600Z 
2025-08-26T20:36:30.3889510Z benchmark_utils/test_benchmark_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/benchmark_utils.test_benchmark_utils_1.1_965bc621523d9598_.log
2025-08-26T20:36:30.3908870Z Running 9 items in this shard: test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_adaptive_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_collect_callgrind, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_collect_cpp_callgrind, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_compare, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_cpp_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_fuzzer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_manipulate_callgrind_stats, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_timer_tiny_fast_snippet
2025-08-26T20:36:30.3911510Z 
2025-08-26T20:36:33.9125680Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-08-26 20:36:33.912363]
2025-08-26T20:36:33.9128700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:36:33.9130960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarmath.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:33.912804]
2025-08-26T20:36:47.1930010Z 
2025-08-26T20:36:47.1931840Z torch_np/numpy_tests/core/test_scalarmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_ad974ae85bddc3af_.log
2025-08-26T20:36:47.2014990Z Running 186 items in this shard: test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_leak, test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_type_add, test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_type_create, test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBaseMath::test_blocked, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBaseMath::test_lower_align, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_integers_to_negative_integer_power, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_large_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_mixed_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_modular_power, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_small_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_corner_cases_dt_d, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_corner_cases_dt_e, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_corner_cases_dt_f, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_exact, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_roundoff, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_modulus_basic, test/torch_np/numpy_tests/core/test_scalarmath.py::TestComplexDivision::test_branches, test/torch_np/numpy_tests/core/test_scalarmath.py::TestComplexDivision::test_signed_zeros, test/torch_np/numpy_tests/core/test_scalarmath.py::TestComplexDivision::test_zero_division, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_iinfo_long_values_1, 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test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____mul_____rop_____rmul___op10_cmp_False_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____ne_____rop_____ne___op3_cmp_True_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____ne_____rop_____ne___op3_cmp_True_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____pow_____rop_____rpow___op11_cmp_False_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____pow_____rop_____rpow___op11_cmp_False_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____sub_____rop_____rsub___op12_cmp_False_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____sub_____rop_____rsub___op12_cmp_False_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____truediv_____rop_____rtruediv___op7_cmp_False_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____truediv_____rop_____rtruediv___op7_cmp_False_sctype1
2025-08-26T20:36:47.2076860Z 
2025-08-26T20:36:50.5793220Z Running test_vulkan 1/1 ... [2025-08-26 20:36:50.579028]
2025-08-26T20:36:50.5806740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:36:50.5807660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_vulkan.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:50.579669]
2025-08-26T20:36:53.9502260Z 
2025-08-26T20:36:53.9502810Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_5c7d1859ce643e92_.log
2025-08-26T20:36:53.9510440Z Running 1 items in this shard: test/test_vulkan.py::TestVulkanRewritePass::test_conv
2025-08-26T20:36:53.9511400Z 
2025-08-26T20:36:57.5616900Z Running nn/test_load_state_dict 1/1 ... [2025-08-26 20:36:57.561435]
2025-08-26T20:36:57.5617820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:36:57.5620880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'nn/test_load_state_dict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:36:57.561869]
2025-08-26T20:37:02.0875360Z 
2025-08-26T20:37:02.0899210Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_75218186a5911c73_.log
2025-08-26T20:37:02.0915310Z Running 27 items in this shard: test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_BC_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_BC_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_False_keep_vars_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_False_keep_vars_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_True_keep_vars_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_True_keep_vars_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_shape_stride_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_shape_stride_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_with_optimizer_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_with_optimizer_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_child_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_child_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_custom_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_custom_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_invalid_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_invalid_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_ref_cycle_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_type_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_type_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_warn_assign_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_warn_assign_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_with_unexpected_key_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_with_unexpected_key_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDictSwap::test_swap_subclass_swap_True_assign_False, test/nn/test_load_state_dict.py::TestLoadStateDictSwap::test_swap_subclass_swap_True_assign_True
2025-08-26T20:37:02.0923070Z 
2025-08-26T20:37:05.6156290Z Running test_indexing 1/1 ... [2025-08-26 20:37:05.615435]
2025-08-26T20:37:05.6157020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:37:05.6160530Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:37:05.615851]
2025-08-26T20:37:41.4418140Z 
2025-08-26T20:37:41.4420600Z test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_indexing_1.1_ec3debb54c44a2e3_.log
2025-08-26T20:37:41.4509410Z Running 332 items in this shard: test/test_indexing.py::TestIndexingCPU::test_advancedindex_big_cpu, test/test_indexing.py::TestIndexingCPU::test_advancedindex_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_advancedindex_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_basic_advanced_combined_cpu, test/test_indexing.py::TestIndexingCPU::test_bool_indices_accumulate_cpu, test/test_indexing.py::TestIndexingCPU::test_bool_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_bool_mask_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask2d_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask_accumulate_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_tensor_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_cpu_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_cuda_broadcast_index_use_deterministic_algorithms_cpu, test/test_indexing.py::TestIndexingCPU::test_ellipsis_tensor_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_index_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_ndim_index_bool_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_ndim_index_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_slice_cpu, test/test_indexing.py::TestIndexingCPU::test_errors_index_copy_cpu, test/test_indexing.py::TestIndexingCPU::test_gather_take_along_dim_cross_device_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_getitem_scalars_cpu, test/test_indexing.py::TestIndexingCPU::test_index_add_deterministic_cpu, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_complex128, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_complex64, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_copy_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_copy_deterministic_cpu, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_complex128, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_complex64, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_copy_scalars_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_cpu, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_complex128, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_complex64, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_fill_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_getitem_copy_bools_slices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_ind_dtype_cpu, test/test_indexing.py::TestIndexingCPU::test_index_limits_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_duplicate_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_empty_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_expanded_values_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_non_contiguous_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_deterministic_with_optional_tensors_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_large_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_non_accumulate_deterministic_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_complex128, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_complex64, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amax_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_amin_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_mean_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_reduce_reduce_prod_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_scalar_with_bool_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_complex128, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_complex64, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_float8_e4m3fn, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_float8_e4m3fnuz, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_float8_e5m2, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_float8_e5m2fnuz, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_int16, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_int32, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_int8, test/test_indexing.py::TestIndexingCPU::test_index_select_cpu_uint8, test/test_indexing.py::TestIndexingCPU::test_index_setitem_bools_slices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_int_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices2d_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices_broadcast_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_invalid_device_cpu, test/test_indexing.py::TestIndexingCPU::test_invalid_index_cpu, test/test_indexing.py::TestIndexingCPU::test_jit_indexing_cpu, test/test_indexing.py::TestIndexingCPU::test_list_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_multi_dimensional_bool_mask_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_multi_dimensional_bool_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_bool_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_byte_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_int_cpu, test/test_indexing.py::TestIndexingCPU::test_none_cpu, test/test_indexing.py::TestIndexingCPU::test_out_of_bound_index_cpu, test/test_indexing.py::TestIndexingCPU::test_set_item_to_scalar_tensor_cpu, test/test_indexing.py::TestIndexingCPU::test_setitem_expansion_error_cpu, test/test_indexing.py::TestIndexingCPU::test_setitem_scalars_cpu, test/test_indexing.py::TestIndexingCPU::test_single_int_cpu, test/test_indexing.py::TestIndexingCPU::test_step_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_step_cpu, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_invalid_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_invalid_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_unravel_index_errors_cpu, test/test_indexing.py::TestIndexingCPU::test_variable_slicing_cpu, test/test_indexing.py::TestIndexingCPU::test_zero_dim_index_cpu, test/test_indexing.py::TestIndexingMPS::test_advancedindex_big_mps, test/test_indexing.py::TestIndexingMPS::test_advancedindex_mps_float16, test/test_indexing.py::TestIndexingMPS::test_basic_advanced_combined_mps, test/test_indexing.py::TestIndexingMPS::test_bool_indices_accumulate_mps, test/test_indexing.py::TestIndexingMPS::test_bool_indices_mps, test/test_indexing.py::TestIndexingMPS::test_bool_mask_assignment_mps, test/test_indexing.py::TestIndexingMPS::test_byte_mask2d_mps, test/test_indexing.py::TestIndexingMPS::test_byte_mask_accumulate_mps, 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test/test_indexing.py::NumpyTestsCPU::test_single_bool_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_single_int_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_trivial_fancy_out_of_bounds_cpu, test/test_indexing.py::NumpyTestsCPU::test_truncate_leading_1s_cpu
2025-08-26T20:37:41.4578290Z 
2025-08-26T20:37:43.8949830Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-08-26 20:37:43.894770]
2025-08-26T20:37:43.8950750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:37:43.8952940Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:37:43.895060]
2025-08-26T20:37:46.4148090Z 
2025-08-26T20:37:46.4148810Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_1ac9bce7d9bf4a11_.log
2025-08-26T20:37:46.4197670Z Running 119 items in this shard: test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_r1array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_r2array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_casting_and_dtype, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_casting_and_dtype_type_error, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_empty_input, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_generator, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_non_iterable, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_2D_array2, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_casting_and_dtype, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_casting_and_dtype_type_error, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_empty_input, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_generator, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_non_iterable, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_bad_out_shape, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_concatenate, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_concatenate_axis_None, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_exceptions, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_large_concatenate_axis_None, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_operator_concat, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_simple, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_returns_copy, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_3d, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_complicated, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_memory_order, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_mixed_1d_and_2d, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_simple_column_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_simple_row_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_total_size_estimate, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_column_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_multiple_rows, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_1d_arrays_row_wise, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_block_with_mismatched_shape, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_different_ndims, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_different_ndims_depths, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_empty_lists, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_invalid_nesting, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_nested, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_no_lists, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_returns_copy, test/torch_np/numpy_tests/core/test_shape_base.py::TestBlock::test_tuple
2025-08-26T20:37:46.4227850Z 
2025-08-26T20:37:48.6499300Z Running test_shape_ops 1/1 ... [2025-08-26 20:37:48.649764]
2025-08-26T20:37:48.6505440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:37:48.6507680Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_shape_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:37:48.650044]
2025-08-26T20:37:51.7930220Z 
2025-08-26T20:37:51.7931490Z test_shape_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_shape_ops_1.1_47416e47e932f6a4_.log
2025-08-26T20:37:51.7957800Z Running 97 items in this shard: test/test_shape_ops.py::TestShapeOpsCPU::test_clamp_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_clamp_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_clamp_propagates_nans_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_clamp_raises_arg_errors_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_complex_rot90_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_complex_rot90_cpu_complex64, test/test_shape_ops.py::TestShapeOpsCPU::test_diag_cpu_bool, test/test_shape_ops.py::TestShapeOpsCPU::test_diag_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_diagonal_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_diagonal_multidim_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_bfloat16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_bool, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_complex64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_float16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_int16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_int32, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_int8, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_uint8, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_bfloat16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_bool, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_complex64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_float16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_int16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_int32, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_int8, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_uint8, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_large_tensor_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_bfloat16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_bool, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_complex64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_float16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_int16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_int32, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_int8, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_uint8, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_unsupported_dtype_cpu_quint2x4, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_unsupported_dtype_cpu_quint4x2, test/test_shape_ops.py::TestShapeOpsCPU::test_fliplr_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_fliplr_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_fliplr_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_fliplr_invalid_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_fliplr_invalid_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_fliplr_invalid_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_flipud_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_flipud_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_flipud_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_flipud_invalid_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_flipud_invalid_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_flipud_invalid_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_movedim_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_movedim_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_movedim_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_movedim_invalid_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_movedim_invalid_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_movedim_invalid_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_astuple_out_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_bfloat16, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_bool, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_float16, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_int16, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_int32, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_int8, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_uint8, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_discontiguous_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_no_warning_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_non_diff_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_rot90_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_sparse_dense_dim_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_sparse_dense_dim_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_sparse_dense_dim_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_tolist_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_trace_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_trace_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_trace_cpu_int16, test/test_shape_ops.py::TestShapeOpsCPU::test_trace_cpu_int32, test/test_shape_ops.py::TestShapeOpsCPU::test_trace_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_trace_cpu_int8, test/test_shape_ops.py::TestShapeOpsCPU::test_trace_cpu_uint8, test/test_shape_ops.py::TestShapeOpsCPU::test_unbind_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_unfold_all_devices_and_dtypes_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_unfold_errors_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_unfold_scalars_cpu
2025-08-26T20:37:51.7973750Z 
2025-08-26T20:37:54.3391310Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-08-26 20:37:54.338950]
2025-08-26T20:37:54.3392420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:37:54.3395190Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dtype.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:37:54.339245]
2025-08-26T20:37:57.8107050Z 
2025-08-26T20:37:57.8107830Z torch_np/numpy_tests/core/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_50768f1b0e77dd6a_.log
2025-08-26T20:37:57.8253230Z Running 102 items in this shard: test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_equivalent_dtype_hashing, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_invalid_types, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Bool, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Bytes0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Complex128, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Complex32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Complex64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Datetime64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Float128, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Float16, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Float32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Float64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Int16, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Int32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Int64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Int8, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Object0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Str0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Timedelta64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_UInt16, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_UInt32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_UInt64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_UInt8, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Uint32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Uint64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Void0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_comparison_operation0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_comparison_operation1, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_comparison_operation2, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_comparison_operation3, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_equality, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_run_t0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_run_t1, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_run_t2, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_run_t3, test/torch_np/numpy_tests/core/test_dtype.py::TestDtypeAttributeDeletion::test_dtype_non_writable_attributes_deletion, test/torch_np/numpy_tests/core/test_dtype.py::TestDtypeAttributeDeletion::test_dtype_writable_attributes_deletion, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t0, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t1, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t2, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t3, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t4, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_DType11, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_bool__10, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_complex128_4, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_complex64_3, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_float16_0, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_float32_1, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_float64_2, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_int16_7, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_int32_8, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_int64_9, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_int8_6, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_uint8_5, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_complex64_complex64_None, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_float16_complex64_None, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_float32_complex64_None, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_other_4294967295_expected1_expected_weak1, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_other_65535_expected0_expected_weak0, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other0_expected0, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other1_expected1, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other2_expected2, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other3_expected3, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other4_expected4, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other5_expected5, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other6_expected6, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes0_expected0, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes1_expected1, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes2_expected2, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes3_expected3, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes4_expected4, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes5_expected5, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes6_expected6, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes7_expected7, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes8_expected8, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes9_expected9, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_18446744073709551616, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_2, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_200, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_4294967296, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_9223372036854775808, test/torch_np/numpy_tests/core/test_dtype.py::TestMisc::test_dtypes_are_true, test/torch_np/numpy_tests/core/test_dtype.py::TestMisc::test_keyword_argument, test/torch_np/numpy_tests/core/test_dtype.py::TestFromDTypeAttribute::test_recursion, test/torch_np/numpy_tests/core/test_dtype.py::TestFromDTypeAttribute::test_simple, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_?, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_B, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_D, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_F, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_b, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_d, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_e, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_f, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_h, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_i, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_l, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_scalar, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_tuple_arg_len_0, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_tuple_arg_len_1, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_tuple_arg_len_2, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_tuple_arg_len_3
2025-08-26T20:37:57.8278960Z 
2025-08-26T20:38:00.4442180Z Running nn/test_module_hooks 1/1 ... [2025-08-26 20:38:00.444013]
2025-08-26T20:38:00.4442940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:38:00.4445610Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'nn/test_module_hooks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:00.444354]
2025-08-26T20:38:03.3985840Z 
2025-08-26T20:38:03.3988590Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_835147c02dc5acdd_.log
2025-08-26T20:38:03.4014920Z Running 53 items in this shard: test/nn/test_module_hooks.py::TestModuleHooks::test_always_called_forward_hooks, test/nn/test_module_hooks.py::TestModuleHooks::test_bw_hook_warning_for_non_tensor_or_tuple, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_pre_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_pre_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_pre_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_pre_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_kwarg_hooks, test/nn/test_module_hooks.py::TestModuleHooks::test_mixed_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_mixed_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_remove_kwarg_hooks, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_module_pre_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_module_pre_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_backward_compatibility_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_backward_compatibility_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_pre_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_pre_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_no_extra_ref_to_module, test/nn/test_module_hooks.py::TestStateDictHooks::test_pickled_hook, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_post_hook_private_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_post_hook_private_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook_backward_compat, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook_lazy_module, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_global_and_local_hooks_order, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_backward_global_hook_writeable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_forward_forward_hook_removable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_forward_preforward_hook_removable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_forward_preforward_hook_writeable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hook_invalid_outputs, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hooks, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hooks_with_kwargs, test/nn/test_module_hooks.py::TestModuleHookNN::test_backward_hooks_interaction, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_backward_size, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_backward_writeable, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_buffer_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_cpp, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_extra_input, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_forward_preforward_writable, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_inplace, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_invalid_outputs, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_last_arg_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_no_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_non_full_warning, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_parameter_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_submodule_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hooks
2025-08-26T20:38:03.4027690Z 
2025-08-26T20:38:05.8564110Z Running test_dynamic_shapes 1/1 ... [2025-08-26 20:38:05.856232]
2025-08-26T20:38:05.8564890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:38:05.8567980Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:05.856577]
2025-08-26T20:38:19.8233500Z 
2025-08-26T20:38:19.8234440Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_fc8cf505398e28ac_.log
2025-08-26T20:38:19.8504880Z Running 1240 items in this shard: test/test_linalg.py::TestLinalgCPU::test_1_sized_with_0_strided_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_1_sized_with_0_strided_cpu_float64, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_128_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_128_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_64_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_64_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_128_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_128_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_64_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_64_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_256_n_128_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_256_n_32_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_256_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_256_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_64_n_128_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_64_n_32_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_64_k_32_n_48_cpu, 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test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_2_beta_0_5_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_2_beta_0_5_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_2_beta_1_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_2_beta_1_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_0_2_beta_1_0_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_1_0_beta_0_0_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_1_0_beta_0_0_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmm_mv_transpose_a_True_transpose_b_True_alpha_1_0_beta_0_0_cpu_float32, 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test/test_linalg.py::TestLinalgCPU::test_addmm_relu_tunableop_rocm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_relu_tunableop_rocm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_addmm_sizes_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmm_sizes_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_addmv_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_addmv_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_addmv_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_addmv_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_addmv_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmv_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_addmv_rowmajor_colmajor_incx_incy_lda_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_addmv_rowmajor_colmajor_incx_incy_lda_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_addr_bool_cpu_bool, test/test_linalg.py::TestLinalgCPU::test_addr_float_and_complex_cpu_bfloat16, 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test/test_linalg.py::TestLinalgCPU::test_baddbmm_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_baddbmm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_baddbmm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_baddbmm_input_dtypes_compatibility_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_baddbmm_input_dtypes_compatibility_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_baddbmm_input_dtypes_compatibility_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_baddbmm_input_dtypes_compatibility_cpu_int16, test/test_linalg.py::TestLinalgCPU::test_baddbmm_input_dtypes_compatibility_cpu_int32, test/test_linalg.py::TestLinalgCPU::test_baddbmm_input_dtypes_compatibility_cpu_int64, test/test_linalg.py::TestLinalgCPU::test_baddbmm_nan_input_with_zero_beta_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_blas_alpha_beta_empty_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_blas_alpha_beta_empty_cpu_complex128, 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test/test_linalg.py::TestLinalgCPU::test_chain_matmul_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_non_pd_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_non_pd_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_non_pd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_ex_non_pd_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_inverse_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_backward_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_many_batches_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_many_batches_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_many_batches_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_many_batches_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_out_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_out_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_out_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_out_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_ck_blas_library_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_1_k_128_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_1_k_128_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_1_k_64_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_1_k_64_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_32_k_128_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_32_k_128_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_32_k_64_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_32_k_64_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_32_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_32_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_32_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_32_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_64_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_64_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_64_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_64_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test_cond_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cond_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cond_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cond_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cond_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cond_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cond_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cond_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_int16, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_int32, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_int64, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_int8, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_uint8, test/test_linalg.py::TestLinalgCPU::test_cross_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cross_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cross_error_cpu, test/test_linalg.py::TestLinalgCPU::test_cross_with_and_without_dim_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cross_with_and_without_dim_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_det_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_det_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_det_logdet_slogdet_batched_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_det_logdet_slogdet_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_disable_tuning_tunableop_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_dot_invalid_args_cpu, test/test_linalg.py::TestLinalgCPU::test_dot_vs_numpy_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_dot_vs_numpy_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_dot_vs_numpy_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_dot_vs_numpy_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_dump_results_on_exit_tunableop_cpu_float32, 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test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_float64_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int16_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int32_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int64_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_int8_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_bfloat16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_uint8_uint8, test/test_linalg.py::TestLinalgCPU::test_pca_lowrank_cpu, test/test_linalg.py::TestLinalgCPU::test_permute_matmul_cpu, test/test_linalg.py::TestLinalgCPU::test_pinv_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_pinv_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_pinv_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_pinv_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_pinv_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_pinv_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_pinv_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_pinv_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_pinverse_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_pinverse_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_pinverse_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_pinverse_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_preferred_blas_library_cpu, test/test_linalg.py::TestLinalgCPU::test_preferred_linalg_library_cpu, test/test_linalg.py::TestLinalgCPU::test_qr_batched_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_qr_batched_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_qr_batched_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_qr_batched_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_qr_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_qr_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_qr_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_qr_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_qr_error_cases_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_qr_vs_numpy_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_qr_vs_numpy_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_qr_vs_numpy_cpu_float32, 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test/test_linalg.py::TestLinalgCPU::test_slogdet_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_slogdet_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_slogdet_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_slogdet_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_solve_batched_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_solve_batched_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_solve_batched_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_solve_batched_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_solve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_solve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_solve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_solve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_solve_removed_error_cpu, test/test_linalg.py::TestLinalgCPU::test_strided_mm_bmm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_strided_mm_bmm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_svd_lowrank_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_svd_lowrank_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_svd_memory_allocation_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_svd_memory_allocation_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_svd_memory_allocation_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_svd_memory_allocation_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_symeig_removed_error_cpu, test/test_linalg.py::TestLinalgCPU::test_tensordot_cpu, test/test_linalg.py::TestLinalgCPU::test_tensordot_out_kernel_errors_with_autograd_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensordot_out_kernel_errors_with_autograd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorinv_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorinv_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorinv_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_empty_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorinv_empty_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_empty_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorinv_empty_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorinv_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_tensorinv_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_tensorinv_singular_input_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_tensorinv_singular_input_cpu_complex64, 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test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_many_batches_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_many_batches_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_many_batches_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_batched_many_batches_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_large_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_out_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_out_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_out_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_triangular_solve_out_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_validator_tunableop_rocm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_vdot_invalid_args_cpu, test/test_linalg.py::TestLinalgCPU::test_vdot_vs_numpy_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_vdot_vs_numpy_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_float16, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_vector_norm_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_vector_norm_decom_unbacked_checks_cpu, test/test_linalg.py::TestLinalgCPU::test_vector_norm_dim_tuple_arg_cpu, test/test_linalg.py::TestLinalgCPU::test_vector_norm_extreme_values_cpu, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_float64
2025-08-26T20:38:19.8754600Z 
2025-08-26T20:38:21.9569030Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-08-26 20:38:21.956719]
2025-08-26T20:38:21.9569450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:38:21.9571160Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_twodim_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:21.957010]
2025-08-26T20:38:24.2449980Z 
2025-08-26T20:38:24.2450910Z torch_np/numpy_tests/lib/test_twodim_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_15117fed61387a70_.log
2025-08-26T20:38:24.2467710Z Running 34 items in this shard: test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_2d, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_bool, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_diag, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_diag2d, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_eye_bounds, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_order, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_diag_bounds, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_failure, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_fortran_order, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_matrix, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_vector, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestFliplr::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestFlipud::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_all_outliers, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_asym, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_bad_length_x_len_10_y_len_11, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_bad_length_x_len_20_y_len_19, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_binparameter_combination, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_density, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_empty, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_simple, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_dtype, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_mask_indices, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_indices, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_dtype, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_ndim2, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_ndim3, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_with_inf, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTriuIndices::test_triu_indices, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTrilIndicesFrom::test_exceptions, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTriuIndicesFrom::test_exceptions, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestVander::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestVander::test_dtypes
2025-08-26T20:38:24.2474670Z 
2025-08-26T20:38:26.4096170Z Running test_jit_llga_fuser 1/1 ... [2025-08-26 20:38:26.408666]
2025-08-26T20:38:26.4096570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:38:26.4097650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_jit_llga_fuser.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:26.408964]
2025-08-26T20:38:28.7747150Z 
2025-08-26T20:38:28.7748370Z test_jit_llga_fuser 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_llga_fuser_1.1_5b81a46eab1677e1_.log
2025-08-26T20:38:28.7779270Z Running 107 items in this shard: test/test_jit_llga_fuser.py::TestEnableDisableLlgaFuser::test_context_manager, test/test_jit_llga_fuser.py::TestDynamoAOT::test_dynamo_aot_ts_onednn, test/test_jit_llga_fuser.py::TestModel::test_vision_alexnet_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_alexnet_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet121_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet121_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet161_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet161_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet169_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet169_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet201_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet201_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b1_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b1_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b2_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b2_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b3_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b3_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b4_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b4_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b5_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b5_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b6_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b6_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b7_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b7_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_googlenet_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_googlenet_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_mnasnet1_0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_mnasnet1_0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v2_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v2_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v3_large_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v3_large_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_regnet_y_400mf_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_regnet_y_400mf_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_resnet50_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_resnet50_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext101_32x8d_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext101_32x8d_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext50_32x4d_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext50_32x4d_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_shufflenet_v2_x1_0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_shufflenet_v2_x1_0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_squeezenet1_0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_squeezenet1_0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_vgg16_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_vgg16_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_wide_resnet50_2_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_wide_resnet50_2_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_bn2d_eltwise_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_bn2d_eltwise_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_bn_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_bn_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_bn_relu_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_bn_relu_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_clamp_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_clamp_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_eltwise_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_eltwise_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_silu_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_silu_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_sum_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_sum_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_ensure_tensor_is_rewrapped_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_ensure_tensor_is_rewrapped_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_linear_eltwise_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_linear_eltwise_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_rewrap_tensor_input_to_pytorch_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_rewrap_tensor_input_to_pytorch_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_wildcard_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_wildcard_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_wildcard_unsupported_dtype_cpu_int32, test/test_jit_llga_fuser.py::TestOpCPU::test_add_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_add_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_add_scalar_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_add_scalar_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_addmm_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_addmm_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_avg_pool2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_avg_pool2d_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_bn2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_bn2d_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_cat_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_cat_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_conv2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_conv2d_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_eltwise_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_eltwise_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_identity_binary_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_identity_binary_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_layer_norm_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_layer_norm_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_linear_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_linear_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_max_pool2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_max_pool2d_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_mul_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_mul_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_softmax_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_softmax_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_typecheck_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_typecheck_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_variable_kernel_avg_pool2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_variable_kernel_avg_pool2d_cpu_float32
2025-08-26T20:38:28.7798360Z 
2025-08-26T20:38:30.9845010Z Running test_type_info 1/1 ... [2025-08-26 20:38:30.984301]
2025-08-26T20:38:30.9845760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:38:30.9847890Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_type_info.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:30.984607]
2025-08-26T20:38:31.7174570Z 
2025-08-26T20:38:31.7175360Z test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dynamic_shapes_1.1_4ef88e21e98965fc_.log
2025-08-26T20:38:31.7263740Z Running 332 items in this shard: test/test_dynamic_shapes.py::TestPySymInt::test_arith_ops, test/test_dynamic_shapes.py::TestPySymInt::test_aten_ops, test/test_dynamic_shapes.py::TestPySymInt::test_avoid_unbacked_substitution, test/test_dynamic_shapes.py::TestPySymInt::test_backed_size_oblivious_01_spec, test/test_dynamic_shapes.py::TestPySymInt::test_baddbmm_symint, test/test_dynamic_shapes.py::TestPySymInt::test_binary, test/test_dynamic_shapes.py::TestPySymInt::test_data_dependent_guard, test/test_dynamic_shapes.py::TestPySymInt::test_data_dependent_guard_propagate_real_tensors, test/test_dynamic_shapes.py::TestPySymInt::test_debug_has_internal_overlap_unbacked, test/test_dynamic_shapes.py::TestPySymInt::test_deepcopy, test/test_dynamic_shapes.py::TestPySymInt::test_duck_shape, test/test_dynamic_shapes.py::TestPySymInt::test_ephemeral_source_simplification, test/test_dynamic_shapes.py::TestPySymInt::test_ephemeral_source_unified_with_non_ephemeral_source, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_basic, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_double_digits, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_prefer_later, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_refine_range, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_with_s0, test/test_dynamic_shapes.py::TestPySymInt::test_floor_clean_div_axioms, test/test_dynamic_shapes.py::TestPySymInt::test_floordiv_static, test/test_dynamic_shapes.py::TestPySymInt::test_fx_trace_intlist, test/test_dynamic_shapes.py::TestPySymInt::test_guard_int, test/test_dynamic_shapes.py::TestPySymInt::test_guard_refine_range, test/test_dynamic_shapes.py::TestPySymInt::test_int_bool, test/test_dynamic_shapes.py::TestPySymInt::test_int_conversion, test/test_dynamic_shapes.py::TestPySymInt::test_int_to_float, test/test_dynamic_shapes.py::TestPySymInt::test_max_of_unique_summation_opt, test/test_dynamic_shapes.py::TestPySymInt::test_meta_symint, test/test_dynamic_shapes.py::TestPySymInt::test_mul_int_oo_nan, test/test_dynamic_shapes.py::TestPySymInt::test_non_overlapping_and_dense_backed, test/test_dynamic_shapes.py::TestPySymInt::test_non_overlapping_and_dense_unbacked, test/test_dynamic_shapes.py::TestPySymInt::test_numel, test/test_dynamic_shapes.py::TestPySymInt::test_numpy_sym_max, test/test_dynamic_shapes.py::TestPySymInt::test_numpy_sym_min, test/test_dynamic_shapes.py::TestPySymInt::test_prefer_deferred_runtime_assertions_over_guards, test/test_dynamic_shapes.py::TestPySymInt::test_prims_non_overlapping_and_dense, test/test_dynamic_shapes.py::TestPySymInt::test_print_readable_with_symints, test/test_dynamic_shapes.py::TestPySymInt::test_reverse_arith_ops, test/test_dynamic_shapes.py::TestPySymInt::test_roundtrip, test/test_dynamic_shapes.py::TestPySymInt::test_size_expressions, test/test_dynamic_shapes.py::TestPySymInt::test_specialize_zero_one, test/test_dynamic_shapes.py::TestPySymInt::test_statically_known_false, test/test_dynamic_shapes.py::TestPySymInt::test_statically_known_true, test/test_dynamic_shapes.py::TestPySymInt::test_stride, test/test_dynamic_shapes.py::TestPySymInt::test_sym_ceil, test/test_dynamic_shapes.py::TestPySymInt::test_sym_floor, test/test_dynamic_shapes.py::TestPySymInt::test_sym_int, test/test_dynamic_shapes.py::TestPySymInt::test_sym_ite, test/test_dynamic_shapes.py::TestPySymInt::test_sym_log2, test/test_dynamic_shapes.py::TestPySymInt::test_sym_max_multi_max_simplify, test/test_dynamic_shapes.py::TestPySymInt::test_sym_sqrt, test/test_dynamic_shapes.py::TestPySymInt::test_sym_sum, test/test_dynamic_shapes.py::TestPySymInt::test_sym_trunc, test/test_dynamic_shapes.py::TestPySymInt::test_symint_args, test/test_dynamic_shapes.py::TestPySymInt::test_symint_as_scalar, test/test_dynamic_shapes.py::TestPySymInt::test_symint_bitwise_and, test/test_dynamic_shapes.py::TestPySymInt::test_symint_bitwise_or, test/test_dynamic_shapes.py::TestPySymInt::test_symint_vargs, test/test_dynamic_shapes.py::TestPySymInt::test_sympify_symint, test/test_dynamic_shapes.py::TestPySymInt::test_sympy_optimized_add, test/test_dynamic_shapes.py::TestPySymInt::test_sympy_optimized_add_binary_search, test/test_dynamic_shapes.py::TestPySymInt::test_tensor_factory_with_symint, test/test_dynamic_shapes.py::TestPySymInt::test_tracing_sym_ite, test/test_dynamic_shapes.py::TestPySymInt::test_unbacked_substitution, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_abs, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_add, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_and, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_bitwise_and, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_bitwise_or, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_ceil, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_eq, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_float_pow, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_float_truediv, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_floor, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_ge, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_gt, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_int_floordiv, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_int_truediv, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_is_integer, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_le, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_lshift, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_lt, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_mod, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_mul, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_ne, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_neg, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_or, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_pos, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_pow_by_natural, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_round, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_rshift, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sub, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_acos, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_asin, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_atan, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_cos, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_cosh, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_ite, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_log2, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_max, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_min, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_not, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_sin, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_sinh, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_sqrt, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_tan, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_tanh, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_trunc, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_int_second_type_int, 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test/test_dynamic_shapes.py::TestUbackedOps::test_invalid_view_unbacked_view, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_contiguous, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_non_contigious_reshape_failing, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_reshape1, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_reshape2, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select2, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select_index, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select_index_cpp_wrapper, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select_index_with_check, test/test_dynamic_shapes.py::TestUbackedOps::test_unbind_not_dynamic
2025-08-26T20:38:31.7340530Z 
2025-08-26T20:38:33.3477230Z 
2025-08-26T20:38:33.3477880Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_7cd36138d3732a6e_.log
2025-08-26T20:38:33.3491000Z Running 5 items in this shard: test/test_type_info.py::TestDTypeInfo::test_finfo, test/test_type_info.py::TestDTypeInfo::test_iinfo, test/test_type_info.py::TestDTypeInfo::test_invalid_input, test/test_type_info.py::TestDTypeInfo::test_to_complex, test/test_type_info.py::TestDTypeInfo::test_to_real
2025-08-26T20:38:33.3491790Z 
2025-08-26T20:38:33.9155110Z Running torch_np/numpy_tests/linalg/test_linalg 1/1 ... [2025-08-26 20:38:33.915308]
2025-08-26T20:38:33.9156580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:38:33.9158600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/linalg/test_linalg.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:33.915610]
2025-08-26T20:38:35.5887870Z Running test_serialization 1/1 ... [2025-08-26 20:38:35.588614]
2025-08-26T20:38:35.5888650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:38:35.5890070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_serialization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:35.588896]
2025-08-26T20:38:39.2245350Z 
2025-08-26T20:38:39.2246030Z torch_np/numpy_tests/linalg/test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.linalg.test_linalg_1.1_e5d7677bc9778edc_.log
2025-08-26T20:38:39.2314210Z Running 268 items in this shard: test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_0_size_k, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestSolve::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestInv::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEigvals::test_types_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestEig::test_types_dtype1, 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test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_generalized_empty_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_generalized_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestPinvHermitian::test_herm_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_generalized_empty_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_generalized_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_sq_cases, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestDet::test_types_dtype1, 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test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size0_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size0_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size0_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size0_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size1_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size1_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size1_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size1_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size2_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size3_outer_size2_dt1, 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test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size2_dt0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size2_dt1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size2_dt2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestQR::test_stacked_inputs_size4_outer_size2_dt3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_0_size, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape0_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape0_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape0_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape0_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape1_dtype0, 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test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape3_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape4_dtype0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape4_dtype1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape4_dtype2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestCholesky::test_basic_property_shape4_dtype3, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc::test_byteorder_check, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc::test_generalized_raise_multiloop, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc::test_sdot_bug_8577, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc::test_xerbla_override, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMultiDot::test_basic_function_with_dynamic_programming_optimization, 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test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_non_square_handling_arr0_ind_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_non_square_handling_arr1_ind_1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_ind_limit_ind_-2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_ind_limit_ind_0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_result, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_shape_shape0_ind_2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorinv::test_tensorinv_shape_shape1_ind_1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_non_square_handling_a0_axes0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_non_square_handling_a1_axes1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape0, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape1, test/torch_np/numpy_tests/linalg/test_linalg.py::TestTensorsolve::test_tensorsolve_result_shape2, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_blas64_dot, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_blas64_geqrf_lwork_smoketest, test/torch_np/numpy_tests/linalg/test_linalg.py::TestMisc2::test_unsupported_commontype
2025-08-26T20:38:39.2371880Z 
2025-08-26T20:38:41.3294640Z Running test_sparse_csr 1/1 ... [2025-08-26 20:38:41.329293]
2025-08-26T20:38:41.3295360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:38:41.3297690Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_sparse_csr.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:38:41.329569]
2025-08-26T20:39:13.1348320Z 
2025-08-26T20:39:13.1349140Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_d726efac522af078_.log
2025-08-26T20:39:13.1423290Z Running 203 items in this shard: test/test_serialization.py::TestOldSerialization::test_debug_set_in_ci, test/test_serialization.py::TestOldSerialization::test_load_error_msg, test/test_serialization.py::TestOldSerialization::test_load_nonexistent_device, test/test_serialization.py::TestOldSerialization::test_load_python2_unicode_module, test/test_serialization.py::TestOldSerialization::test_load_unicode_error_msg, test/test_serialization.py::TestOldSerialization::test_pickle_module, test/test_serialization.py::TestOldSerialization::test_safe_load_basic_types, test/test_serialization.py::TestOldSerialization::test_save_different_dtype_error, test/test_serialization.py::TestOldSerialization::test_save_different_dtype_unallocated, test/test_serialization.py::TestOldSerialization::test_serialization, test/test_serialization.py::TestOldSerialization::test_serialization_backwards_compat, test/test_serialization.py::TestOldSerialization::test_serialization_backwards_compat_safe, test/test_serialization.py::TestOldSerialization::test_serialization_container, test/test_serialization.py::TestOldSerialization::test_serialization_container_filelike, test/test_serialization.py::TestOldSerialization::test_serialization_dill, test/test_serialization.py::TestOldSerialization::test_serialization_dill_version_not_supported, test/test_serialization.py::TestOldSerialization::test_serialization_fake_zip, test/test_serialization.py::TestOldSerialization::test_serialization_filelike, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_api_requirements, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_exceptions, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_missing_attrs, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_stress, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_uses_readinto, test/test_serialization.py::TestOldSerialization::test_serialization_gzip, test/test_serialization.py::TestOldSerialization::test_serialization_map_location, test/test_serialization.py::TestOldSerialization::test_serialization_offset, test/test_serialization.py::TestOldSerialization::test_serialization_offset_filelike_weights_only_False, test/test_serialization.py::TestOldSerialization::test_serialization_offset_filelike_weights_only_True, test/test_serialization.py::TestOldSerialization::test_serialization_offset_gzip, test/test_serialization.py::TestOldSerialization::test_serialization_safe, test/test_serialization.py::TestOldSerialization::test_serialization_save_warnings, test/test_serialization.py::TestOldSerialization::test_serialization_sparse, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_bsc_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_bsr_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_csc_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_csr_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_invalid_legacy_ctor, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_safe, test/test_serialization.py::TestOldSerialization::test_serialization_storage_slice, test/test_serialization.py::TestOldSerialization::test_serialization_zipfile_utils, test/test_serialization.py::TestOldSerialization::test_serialize_device, test/test_serialization.py::TestOldSerialization::test_skip_data_load, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_False_filename_False, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_False_filename_True, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_True_filename_False, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_True_filename_True, test/test_serialization.py::TestSerialization::test_debug_set_in_ci, test/test_serialization.py::TestSerialization::test_filewriter_metadata_writing_filename_False, test/test_serialization.py::TestSerialization::test_filewriter_metadata_writing_filename_True, test/test_serialization.py::TestSerialization::test_get_unsafe_globals_in_checkpoint, test/test_serialization.py::TestSerialization::test_has_format_version, test/test_serialization.py::TestSerialization::test_load_error_msg, test/test_serialization.py::TestSerialization::test_load_njt_weights_only_should_import_False, test/test_serialization.py::TestSerialization::test_load_njt_weights_only_should_import_True, test/test_serialization.py::TestSerialization::test_load_nonexistent_device, test/test_serialization.py::TestSerialization::test_load_python2_unicode_module, test/test_serialization.py::TestSerialization::test_load_unicode_error_msg, test/test_serialization.py::TestSerialization::test_lr_scheduler_serialization, test/test_serialization.py::TestSerialization::test_meta_serialization_weights_only_False, test/test_serialization.py::TestSerialization::test_meta_serialization_weights_only_True, test/test_serialization.py::TestSerialization::test_mmap_load_offset_calculation_path_type0, test/test_serialization.py::TestSerialization::test_mmap_load_offset_calculation_path_type1, test/test_serialization.py::TestSerialization::test_pathlike_serialization_weights_only_False, test/test_serialization.py::TestSerialization::test_pathlike_serialization_weights_only_True, test/test_serialization.py::TestSerialization::test_pickle_module, test/test_serialization.py::TestSerialization::test_safe_load_basic_types, test/test_serialization.py::TestSerialization::test_save_different_dtype_error, test/test_serialization.py::TestSerialization::test_save_different_dtype_unallocated, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bfloat16_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bfloat16_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bool_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bool_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex128_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex128_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex64_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex64_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float16_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float16_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float32_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float32_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float64_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float64_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int16_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int16_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int32_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int32_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int64_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int64_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int8_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int8_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_uint8_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_uint8_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization, test/test_serialization.py::TestSerialization::test_serialization_backwards_compat, test/test_serialization.py::TestSerialization::test_serialization_backwards_compat_safe, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals0_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals0_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals1_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals1_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_byteorder_mark, test/test_serialization.py::TestSerialization::test_serialization_dill, test/test_serialization.py::TestSerialization::test_serialization_dill_version_not_supported, test/test_serialization.py::TestSerialization::test_serialization_dtype_complex32_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_complex32_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e4m3fn_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e4m3fn_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e5m2_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e5m2_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint16_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint16_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint32_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint32_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint64_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint64_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_efficient_zerotensor_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_efficient_zerotensor_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_fake_zip, test/test_serialization.py::TestSerialization::test_serialization_filelike, test/test_serialization.py::TestSerialization::test_serialization_filelike_api_requirements, test/test_serialization.py::TestSerialization::test_serialization_filelike_exceptions, test/test_serialization.py::TestSerialization::test_serialization_filelike_missing_attrs, test/test_serialization.py::TestSerialization::test_serialization_filelike_stress, test/test_serialization.py::TestSerialization::test_serialization_filelike_uses_readinto, test/test_serialization.py::TestSerialization::test_serialization_gzip, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_bfloat16, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_bool, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_cdouble, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_cfloat, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_double, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_float, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_half, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int16, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int8, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_long, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_uint8, test/test_serialization.py::TestSerialization::test_serialization_map_location, test/test_serialization.py::TestSerialization::test_serialization_math_bits_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_math_bits_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_ctx, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type0_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type0_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type1_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type1_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_with_map_location, test/test_serialization.py::TestSerialization::test_serialization_nested_class, test/test_serialization.py::TestSerialization::test_serialization_offset_gzip, test/test_serialization.py::TestSerialization::test_serialization_python_attr_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_python_attr_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_safe, test/test_serialization.py::TestSerialization::test_serialization_save_warnings, test/test_serialization.py::TestSerialization::test_serialization_sparse, test/test_serialization.py::TestSerialization::test_serialization_sparse_bsc_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_bsr_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_csc_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_csr_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_invalid_legacy_ctor, test/test_serialization.py::TestSerialization::test_serialization_sparse_safe, test/test_serialization.py::TestSerialization::test_serialization_storage_slice, test/test_serialization.py::TestSerialization::test_serialization_uintx_intx, test/test_serialization.py::TestSerialization::test_serialization_warning_s390x, test/test_serialization.py::TestSerialization::test_serialization_with_header, test/test_serialization.py::TestSerialization::test_serialization_zipfile_actually_jit, test/test_serialization.py::TestSerialization::test_serialization_zipfile_utils, test/test_serialization.py::TestSerialization::test_serialization_zipfile_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_zipfile_weights_only_True, test/test_serialization.py::TestSerialization::test_serialize_device, test/test_serialization.py::TestSerialization::test_skip_data_load, test/test_serialization.py::TestSerialization::test_skip_data_serialization_error_cases, test/test_serialization.py::TestSerialization::test_skip_data_serialization_materialize_fake_False, test/test_serialization.py::TestSerialization::test_skip_data_serialization_materialize_fake_True, test/test_serialization.py::TestSerialization::test_skip_data_serialization_preserves_views_materialize_fake_False, test/test_serialization.py::TestSerialization::test_skip_data_serialization_preserves_views_materialize_fake_True, test/test_serialization.py::TestSerialization::test_storage_alignment, test/test_serialization.py::TestSerialization::test_use_pinned_memory_for_d2h, test/test_serialization.py::TestSerialization::test_weights_only_assert, test/test_serialization.py::TestSerialization::test_weights_only_blocked_func_error_msg, test/test_serialization.py::TestSerialization::test_weights_only_env_variables_force_weights_only_False, test/test_serialization.py::TestSerialization::test_weights_only_env_variables_force_weights_only_True, test/test_serialization.py::TestSerialization::test_weights_only_error_unsafe_global_False, test/test_serialization.py::TestSerialization::test_weights_only_error_unsafe_global_True, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_blocklist, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_build, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_build_with_slots_slots_all, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_build_with_slots_slots_some, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_newobj, test/test_serialization.py::TestSerialization::test_weights_only_with_zoneinfo_unpickle_registration_success, test/test_serialization.py::TestSubclassSerialization::test_cloned_deepcopy_requires_grad_False, test/test_serialization.py::TestSubclassSerialization::test_cloned_deepcopy_requires_grad_True, test/test_serialization.py::TestSubclassSerialization::test_empty_class_serialization, test/test_serialization.py::TestSubclassSerialization::test_safe_globals_context_manager_weights_only, test/test_serialization.py::TestSubclassSerialization::test_safe_globals_for_weights_only, test/test_serialization.py::TestSubclassSerialization::test_sets_are_loadable_with_weights_only, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_deepcopy, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_getstate_overwrite, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_map_location, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_wrapper_serialization, test/test_serialization.py::TestBothSerializationCPU::test_serialization_new_format_old_format_compat_weights_only_False_cpu, test/test_serialization.py::TestBothSerializationCPU::test_serialization_new_format_old_format_compat_weights_only_True_cpu
2025-08-26T20:39:13.1484440Z 
2025-08-26T20:39:15.4130250Z Running lazy/test_generator 1/1 ... [2025-08-26 20:39:15.412823]
2025-08-26T20:39:15.4131050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:39:15.4133230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'lazy/test_generator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:15.413141]
2025-08-26T20:39:17.5962940Z 
2025-08-26T20:39:17.5963660Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_171495af240187c8_.log
2025-08-26T20:39:17.5972670Z Running 2 items in this shard: test/lazy/test_generator.py::LazyGeneratorTest::test_generator, test/lazy/test_generator.py::LazyGeneratorTest::test_generator_causes_multiple_compiles
2025-08-26T20:39:17.5973200Z 
2025-08-26T20:39:19.7151330Z Running lazy/test_debug_util 1/1 ... [2025-08-26 20:39:19.714943]
2025-08-26T20:39:19.7152110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:39:19.7154050Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'lazy/test_debug_util.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:19.715215]
2025-08-26T20:39:21.8660090Z 
2025-08-26T20:39:21.8661040Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_189264420921fbb6_.log
2025-08-26T20:39:21.8669110Z Running 1 items in this shard: test/lazy/test_debug_util.py::DebugUtilTest::test_get_python_frames
2025-08-26T20:39:21.8669400Z 
2025-08-26T20:39:23.9535720Z Running test_numa_binding 1/1 ... [2025-08-26 20:39:23.953371]
2025-08-26T20:39:23.9536480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:39:23.9538400Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_numa_binding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:23.953654]
2025-08-26T20:39:25.9531440Z 
2025-08-26T20:39:25.9532900Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_9495f95310b4e5fc_.log
2025-08-26T20:39:25.9544680Z Running 20 items in this shard: test/test_numa_binding.py::NumaBindingTest::test_binds_to_node_0_if_node_stored_as_minus_one, test/test_numa_binding.py::NumaBindingTest::test_callable_entrypoint_basic, test/test_numa_binding.py::NumaBindingTest::test_core_complex_numa_binding_with_extra_l3, test/test_numa_binding.py::NumaBindingTest::test_core_complex_numa_binding_with_fewer_l3_than_gpu, test/test_numa_binding.py::NumaBindingTest::test_core_complex_prefers_caches_with_more_cpus, test/test_numa_binding.py::NumaBindingTest::test_core_complex_tiebreak_prefers_lower_cache_key, test/test_numa_binding.py::NumaBindingTest::test_default_numa_binding, test/test_numa_binding.py::NumaBindingTest::test_exclusive_numa_binding, test/test_numa_binding.py::NumaBindingTest::test_exclusive_raises_if_too_few_physical_cores, test/test_numa_binding.py::NumaBindingTest::test_explicit_numa_options_overrides_default, test/test_numa_binding.py::NumaBindingTest::test_fallback, test/test_numa_binding.py::NumaBindingTest::test_get_range_str_from_ints, test/test_numa_binding.py::NumaBindingTest::test_get_set_of_int_from_ranges_str, test/test_numa_binding.py::NumaBindingTest::test_no_numa_binding_if_numa_options_not_provided, test/test_numa_binding.py::NumaBindingTest::test_node_numa_binding, test/test_numa_binding.py::NumaBindingTest::test_nproc_must_equal_cuda_device_count_to_use_default_numa_options, test/test_numa_binding.py::NumaBindingTest::test_parallel_start_does_not_call_get_default_numa_options, test/test_numa_binding.py::NumaBindingTest::test_raises_if_binding_to_empty_set, test/test_numa_binding.py::NumaBindingTest::test_socket_numa_binding_with_multiple_numa_per_socket, test/test_numa_binding.py::NumaBindingTest::test_socket_numa_binding_with_single_numa_per_socket
2025-08-26T20:39:25.9549220Z 
2025-08-26T20:39:27.9971020Z Running test_view_ops 1/1 ... [2025-08-26 20:39:27.996915]
2025-08-26T20:39:27.9971760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:39:27.9973960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_view_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:27.997197]
2025-08-26T20:39:38.2078510Z 
2025-08-26T20:39:38.2078990Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_dda5b7a0dc123bee_.log
2025-08-26T20:39:38.2191700Z Running 587 items in this shard: test/test_view_ops.py::TestViewOpsCPU::test_T_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_advanced_indexing_assignment_cpu, test/test_view_ops.py::TestViewOpsCPU::test_advanced_indexing_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_as_strided_gradients_cpu, test/test_view_ops.py::TestViewOpsCPU::test_as_strided_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_as_strided_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_basic_indexing_ellipses_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_basic_indexing_newaxis_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_basic_indexing_slice_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_chunk_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_conj_imag_view_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_conj_imag_view_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_conj_view_with_shared_memory_cpu, test/test_view_ops.py::TestViewOpsCPU::test_contiguous_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_contiguous_self_cpu, test/test_view_ops.py::TestViewOpsCPU::test_diagonal_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_expand_as_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_expand_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_flatten_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_flatten_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_movedim_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_narrow_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_permute_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_real_imag_view_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_real_imag_view_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_reshape_as_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_reshape_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_reshape_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_select_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_bool, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_complex128, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_complex64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_float16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_float32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_float64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int8, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_uint8, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_bool, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_complex128, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_complex64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_float16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_float32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_float64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int8, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_uint8, test/test_view_ops.py::TestViewOpsCPU::test_split_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_squeeze_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_squeeze_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_t_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_t_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_transpose_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_transpose_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unbind_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unbind_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unfold_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unsqueeze_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unsqueeze_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_as_complex_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_as_real_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_as_real_cpu_complex32, test/test_view_ops.py::TestViewOpsCPU::test_view_as_real_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_as_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_copy_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_copy_out_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_copy_output_contiguous_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_view_cpu, test/test_view_ops.py::TestViewOpsMPS::test_T_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_advanced_indexing_assignment_mps, test/test_view_ops.py::TestViewOpsMPS::test_advanced_indexing_nonview_mps, test/test_view_ops.py::TestViewOpsMPS::test_as_strided_gradients_mps, test/test_view_ops.py::TestViewOpsMPS::test_as_strided_inplace_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_as_strided_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_basic_indexing_ellipses_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_basic_indexing_newaxis_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_basic_indexing_slice_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_chunk_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_conj_imag_view_mps_complex128, test/test_view_ops.py::TestViewOpsMPS::test_conj_imag_view_mps_complex64, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_float64, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_conj_view_with_shared_memory_mps, test/test_view_ops.py::TestViewOpsMPS::test_contiguous_nonview_mps, test/test_view_ops.py::TestViewOpsMPS::test_contiguous_self_mps, test/test_view_ops.py::TestViewOpsMPS::test_diagonal_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_expand_as_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_expand_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_flatten_nonview_mps, test/test_view_ops.py::TestViewOpsMPS::test_flatten_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_bool, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_movedim_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_narrow_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_permute_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_real_imag_view_mps_complex64, test/test_view_ops.py::TestViewOpsMPS::test_reshape_as_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_reshape_nonview_mps, test/test_view_ops.py::TestViewOpsMPS::test_reshape_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_select_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_bool, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_complex32, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_complex64, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_float16, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_float32, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_int16, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_int32, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_int64, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_int8, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_uint8, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_bool, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_complex32, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_complex64, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_float16, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_float32, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_int16, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_int32, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_int64, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_int8, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_uint8, test/test_view_ops.py::TestViewOpsMPS::test_split_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_squeeze_inplace_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_squeeze_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_t_inplace_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_t_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_transpose_inplace_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_transpose_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_unbind_mps, test/test_view_ops.py::TestViewOpsMPS::test_unbind_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_unfold_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_unsqueeze_inplace_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_unsqueeze_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_view_as_complex_mps, test/test_view_ops.py::TestViewOpsMPS::test_view_as_real_mps_complex32, test/test_view_ops.py::TestViewOpsMPS::test_view_as_real_mps_complex64, test/test_view_ops.py::TestViewOpsMPS::test_view_as_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_view_copy_mps, test/test_view_ops.py::TestViewOpsMPS::test_view_copy_out_mps, test/test_view_ops.py::TestViewOpsMPS::test_view_copy_output_contiguous_mps, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_bool, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_complex64, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_bool, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_bool, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_complex64, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_bool, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_complex64, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_bool, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_bool, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_complex64, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_view_view_mps, test/test_view_ops.py::TestViewOpsLAZY::test_T_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_advanced_indexing_assignment_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_advanced_indexing_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_as_strided_gradients_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_as_strided_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_as_strided_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_basic_indexing_ellipses_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_basic_indexing_newaxis_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_basic_indexing_slice_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_chunk_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_conj_imag_view_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_conj_imag_view_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_conj_view_with_shared_memory_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_contiguous_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_contiguous_self_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_diagonal_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_expand_as_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_expand_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_flatten_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_flatten_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_movedim_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_narrow_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_permute_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_real_imag_view_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_real_imag_view_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_reshape_as_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_reshape_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_reshape_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_select_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_bool, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_float16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_float32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_float64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int8, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_bool, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_float16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_float32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_float64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int8, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_split_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_squeeze_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_squeeze_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_t_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_t_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_transpose_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_transpose_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unbind_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unbind_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unfold_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unsqueeze_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unsqueeze_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_complex_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_real_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_real_lazy_complex32, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_real_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_copy_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_copy_out_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_copy_output_contiguous_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_view_lazy, test/test_view_ops.py::TestOldViewOpsCPU::test_T_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_as_strided_overflow_storage_offset_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_gradient_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_big_transpose_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_shapes_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_tensors_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_chunk_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_conj_neg_view_numpy_error_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_contiguous_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_crow_col_indices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_empty_reshape_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_expand_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_flatten_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_memory_format_resize__cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_memory_format_resize_as_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_narrow_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_narrow_tensor_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_python_types_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_ravel_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_bfloat16, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_all_dtypes_and_devices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_as_all_dtypes_and_devices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_as_preserves_strides_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_overflow_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_split_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_t_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_errors_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_invalid_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_invalid_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_invalid_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_vs_numpy_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_vs_numpy_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_vs_numpy_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_bfloat16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_bfloat16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_int16, 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2025-08-26T20:39:38.2320580Z 
2025-08-26T20:39:40.2964590Z Running torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-08-26 20:39:40.296275]
2025-08-26T20:39:40.2965490Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:39:40.2967750Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_pocketfft.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:40.296559]
2025-08-26T20:39:41.2875200Z 
2025-08-26T20:39:41.2875970Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_084d374833739f65_.log
2025-08-26T20:39:41.4026320Z Running 4709 items in this shard: test/test_sparse_csr.py::TestSparseCSRSampler::test_make_crow_indices, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSC_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSC_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSR_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSR_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_complex64, 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test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_scatter_mm, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_tune
2025-08-26T20:39:41.5129690Z 
2025-08-26T20:39:43.4696930Z Running torch_np/test_ndarray_methods 1/1 ... [2025-08-26 20:39:43.469481]
2025-08-26T20:39:43.4698570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:39:43.4700500Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/test_ndarray_methods.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:43.469819]
2025-08-26T20:39:44.0036880Z 
2025-08-26T20:39:44.0038780Z torch_np/numpy_tests/fft/test_pocketfft 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_d111de88153e3c38_.log
2025-08-26T20:39:44.0068330Z Running 79 items in this shard: test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTShift::test_fft_n, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_all_1d_norm_preserving, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_axes_op0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_axes_op1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_axes_op2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_axes_op3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_dtypes_dtype0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_dtypes_dtype1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_dtypes_dtype2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fftn, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_hfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_identity, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft_norm0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft_norm_backward, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft_norm_forward, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft_norm_ortho, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifftn, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ihfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_irfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_irfft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_irfftn, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_rfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_rfft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_rfftn, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTThreadSafe::test_fft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTThreadSafe::test_ifft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTThreadSafe::test_irfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTThreadSafe::test_rfft
2025-08-26T20:39:44.0086430Z 
2025-08-26T20:39:46.1435380Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-08-26 20:39:46.143377]
2025-08-26T20:39:46.1435730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:39:46.1441350Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_shape_base_.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:46.143972]
2025-08-26T20:39:47.7565590Z 
2025-08-26T20:39:47.7566450Z torch_np/test_ndarray_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ndarray_methods_1.1_c90166b38e7ee155_.log
2025-08-26T20:39:47.7659030Z Running 342 items in this shard: test/torch_np/test_ndarray_methods.py::TestIndexing::test_indexing_simple, test/torch_np/test_ndarray_methods.py::TestIndexing::test_setitem, test/torch_np/test_ndarray_methods.py::TestReshape::test_reshape_function, test/torch_np/test_ndarray_methods.py::TestReshape::test_reshape_method, test/torch_np/test_ndarray_methods.py::TestTranspose::test_transpose_function, test/torch_np/test_ndarray_methods.py::TestTranspose::test_transpose_method, test/torch_np/test_ndarray_methods.py::TestRavel::test_ravel_function, test/torch_np/test_ndarray_methods.py::TestRavel::test_ravel_method, test/torch_np/test_ndarray_methods.py::TestNonzero::test_array_method, test/torch_np/test_ndarray_methods.py::TestNonzero::test_nonzero_onedim, test/torch_np/test_ndarray_methods.py::TestNonzero::test_nonzero_trivial, test/torch_np/test_ndarray_methods.py::TestNonzero::test_nonzero_twodim, test/torch_np/test_ndarray_methods.py::TestNonzero::test_sparse, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_all_method_max, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_all_method_min, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size0_axis0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size0_axis0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size10_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size10_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size11_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size11_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size12_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size12_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size13_axis13_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size13_axis13_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size14_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size14_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size15_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size15_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size16_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size16_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size17_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size17_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size18_axis18_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size18_axis18_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size19_axis_-3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size19_axis_-3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size1_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size1_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size20_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size20_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size21_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size21_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size22_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size22_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size23_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size23_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size24_axis_2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size24_axis_2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size25_axis25_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size25_axis25_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size26_axis_-3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size26_axis_-3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size27_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size27_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size28_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size28_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size29_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size29_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size2_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size2_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size30_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size30_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size31_axis_2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size31_axis_2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size32_axis32_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size32_axis32_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size33_axis_-4_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size33_axis_-4_method1, 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test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data25, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data26, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data27, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data28, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data29, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data3, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data30, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data31, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data32, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data33, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data34, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data35, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data36, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data37, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data38, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data39, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data4, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data40, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data41, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data42, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data43, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data44, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data45, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data46, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data47, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data48, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data49, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data5, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data50, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data51, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data52, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data53, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data54, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data55, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data56, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data57, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data58, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data59, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data6, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data60, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data61, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data62, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data63, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data64, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data65, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data66, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data67, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data68, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data69, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data7, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data70, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data71, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data72, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data73, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data8, test/torch_np/test_ndarray_methods.py::TestArgmin::test_combinations_data9, test/torch_np/test_ndarray_methods.py::TestArgmin::test_minimum_signed_integers, test/torch_np/test_ndarray_methods.py::TestAmax::test_basic, test/torch_np/test_ndarray_methods.py::TestAmin::test_basic, test/torch_np/test_ndarray_methods.py::TestContains::test_contains, test/torch_np/test_ndarray_methods.py::TestNoExtraMethods::test_extra_methods_name_fn, test/torch_np/test_ndarray_methods.py::TestNoExtraMethods::test_extra_methods_name_ivar, test/torch_np/test_ndarray_methods.py::TestNoExtraMethods::test_extra_methods_name_method, test/torch_np/test_ndarray_methods.py::TestNoExtraMethods::test_extra_methods_name_name, test/torch_np/test_ndarray_methods.py::TestNoExtraMethods::test_extra_methods_name_plain, test/torch_np/test_ndarray_methods.py::TestNoExtraMethods::test_extra_methods_name_rvar, test/torch_np/test_ndarray_methods.py::TestIter::test_iter_1d, test/torch_np/test_ndarray_methods.py::TestIter::test_iter_2d
2025-08-26T20:39:47.7739120Z 
2025-08-26T20:39:48.6999780Z 
2025-08-26T20:39:48.7000540Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_319cc7f773ca3605_.log
2025-08-26T20:39:48.7027460Z Running 73 items in this shard: test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_argequivalent, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_broadcast, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_empty, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_invalid, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestPutAlongAxis::test_broadcast, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestPutAlongAxis::test_replace_max, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_0d_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_3d, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_axis_insertion, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_axis_insertion_ma, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_empty, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_scalar_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_simple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_simple101, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_tuple_func1d, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_with_iterable_object, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyOverAxes::test_simple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_axis_out_of_range, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_axis_tuple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_functionality, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_repeated_axis, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_index_split_high_bound, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_index_split_low_bound, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_index_split_simple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_0_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_cols, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_default, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_rows, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_rows_greater_max_int32, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSplit::test_equal_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSplit::test_unequal_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_1D_arrays, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_2D_arrays, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_generator, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_2D_array2, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_generator, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_3D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_basic, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_basic_2, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_axis, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_axis_handling, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_contiguous, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_type, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_basic, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a0_shape_b0, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a1_shape_b1, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a2_shape_b2, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a3_shape_b3, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a4_shape_b4, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a5_shape_b5, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_basic, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_empty, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_kroncompare, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_tile_one_repetition_on_array_gh4679, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestMayShareMemory::test_basic
2025-08-26T20:39:48.7042680Z 
2025-08-26T20:39:50.0688740Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-08-26 20:39:50.068696]
2025-08-26T20:39:50.0689090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:39:50.0691070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'torch_np/numpy_tests/core/test_getlimits.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:50.068985]
2025-08-26T20:39:50.9682690Z Running test_scatter_gather_ops 1/1 ... [2025-08-26 20:39:50.968071]
2025-08-26T20:39:50.9683000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:39:50.9685830Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'test_scatter_gather_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:50.968411]
2025-08-26T20:39:52.4631690Z 
2025-08-26T20:39:52.4632680Z torch_np/numpy_tests/core/test_getlimits 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_7b4614fc7f0cc7d6_.log
2025-08-26T20:39:52.4646360Z Running 17 items in this shard: test/torch_np/numpy_tests/core/test_getlimits.py::TestPythonFloat::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestHalf::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestSingle::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestDouble::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestFinfo::test_basic, test/torch_np/numpy_tests/core/test_getlimits.py::TestFinfo::test_basic_missing, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_basic, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T0, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T1, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T2, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T3, test/torch_np/numpy_tests/core/test_getlimits.py::TestRepr::test_finfo_repr, test/torch_np/numpy_tests/core/test_getlimits.py::TestRepr::test_iinfo_repr, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_instances, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_known_types, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_plausible_finfo, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_subnormal_warning
2025-08-26T20:39:52.4650060Z 
2025-08-26T20:39:54.7695190Z Running functorch/test_vmap 1/1 ... [2025-08-26 20:39:54.769338]
2025-08-26T20:39:54.7695930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-26T20:39:54.7698610Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-26 20:39:54.769659]
2025-08-26T20:39:57.5727540Z 
2025-08-26T20:39:57.5728560Z test_scatter_gather_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scatter_gather_ops_1.1_6f896787b59d479d_.log
2025-08-26T20:39:57.5760210Z Running 84 items in this shard: test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_backward_with_empty_index_tensor_sparse_grad_False_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_backward_with_empty_index_tensor_sparse_grad_False_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_backward_with_empty_index_tensor_sparse_grad_True_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_backward_with_empty_index_tensor_sparse_grad_True_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_bool_cpu_bool, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_expanded_index_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_expanded_index_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_expanded_index_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_large_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_large_cpu_int8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__reductions_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__reductions_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__reductions_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__scalar_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__scalar_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__scalar_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add__cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add__cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add__cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add_broadcasted_index_deterministic_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add_mult_index_base_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_expanded_index_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_expanded_index_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_expanded_index_cpu_float32, 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2025-08-26T20:39:57.5780520Z 
2025-08-26T20:41:04.7380250Z 
2025-08-26T20:41:04.7381060Z test_ops 2/3 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_2.3_0a791f033022433c_.log
2025-08-26T20:41:04.9830780Z Running 11421 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu___radd___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmatmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rpow___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_char_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_complex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_long_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_as_strided_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_atleast_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_atleast_3d_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_compare_cpu_special_xlog1py_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_std_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_std_mean_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_take_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_trapezoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_triangular_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_uniform_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unique_consecutive_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unsqueeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unsqueeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_var_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_view_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_view_as_real_cpu_complex64, test/test_ops.py::TestCommonCPU::test_compare_cpu_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_H_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_T_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_abs_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_bool_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_cdouble_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_conj_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_diag_embed_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_diagonal_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_eq_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_flatten_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_full_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_hsplit_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_imag_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_index_add_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_isinf_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_narrow_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_neg_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_new_full_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_new_ones_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_ones_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_rand_like_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_randn_like_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_real_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_split_with_sizes_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_transpose_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_tril_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unbind_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unfold_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unsafe_chunk_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unsqueeze_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_vstack_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_zeros_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_zeros_like_cpu_complex32, test/test_ops.py::TestCommonCPU::test_dtypes_H_cpu, test/test_ops.py::TestCommonCPU::test_dtypes___getitem___cpu, test/test_ops.py::TestCommonCPU::test_dtypes___rand___cpu, test/test_ops.py::TestCommonCPU::test_dtypes___rmod___cpu, test/test_ops.py::TestCommonCPU::test_dtypes___rmul___cpu, test/test_ops.py::TestCommonCPU::test_dtypes___rxor___cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_cdouble_cpu, 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test/test_ops.py::TestCommonCPU::test_dtypes__refs_column_stack_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_conj_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_cos_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_cosh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_cumprod_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_cumsum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_diagonal_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_div_trunc_rounding_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_dsplit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_empty_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_empty_strided_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_erfc_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_erfinv_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_exp2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_expand_as_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_fft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_hfft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_hfftn_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_ifftn_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_ihfftn_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_irfftn_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_rfft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_float_power_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_floor_divide_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fmin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fmod_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_frac_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_gcd_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_geometric_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_heaviside_cpu, 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test/test_ops.py::TestCommonCPU::test_dtypes__refs_logical_not_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_logical_or_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_logsumexp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_masked_fill_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_movedim_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_new_zeros_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_hardshrink_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_hardtanh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_layer_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_leaky_relu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_mish_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_nll_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_pairwise_distance_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_pixel_shuffle_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_pixel_unshuffle_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_softmin_with_dtype_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_tanhshrink_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_normal__in_place_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_normal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_normal_number_mean_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_pow_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_rad2deg_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_repeat_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_roll_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_rsqrt_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_signbit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_sin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_sinc_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_sinh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_softmax_with_dtype_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_bessel_j1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_i0e_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_i1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_i1e_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_log_softmax_with_dtype_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_multigammaln_mvlgamma_p_1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_multigammaln_mvlgamma_p_3_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_multigammaln_mvlgamma_p_5_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_softmax_with_dtype_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_spherical_bessel_j0_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_xlog1py_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_zeta_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_stack_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_t_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_take_along_dim_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_tanh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_trace_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_tril_indices_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_true_divide_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_trunc_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_unbind_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_unfold_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_unfold_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_unsqueeze_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_var_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_vsplit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_vstack_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_xlogy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_abs_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_acos_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_add_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_addbmm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_addcdiv_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_addmv_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_addr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_all_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_arange_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_argmax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_as_strided_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_as_strided_scatter_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_asin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_atan_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_atanh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_atleast_3d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bfloat16_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bincount_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bitwise_and_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bitwise_left_shift_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bitwise_or_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_broadcast_tensors_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_byte_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cdist_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cdouble_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_ceil_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_char_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_clamp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_clamp_max_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_complex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_conj_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_constant_pad_nd_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cos_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cumprod_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_deg2rad_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_diag_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_diagflat_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_diff_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_div_no_rounding_mode_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_div_trunc_rounding_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_dsplit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_dstack_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_empty_like_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_empty_permuted_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_equal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_erf_cpu, 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test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_isneginf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ldexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_le_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_cond_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_eigh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_householder_product_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_vecdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_vector_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log1p_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logical_xor_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lt_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_msort_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_multinomial_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nansum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nonzero_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_norm_inf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_outer_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sgn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sign_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_bessel_j1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_bessel_y0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_i0e_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_xlog1py_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_square_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_take_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tan_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_trunc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_H_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_T_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___radd___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___radd___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rdiv___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmod___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___ror___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rpow___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__batch_norm_with_update_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__chunk_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_acos_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_acos_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_alias_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_amax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_angle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_any_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_arange_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_arange_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_asinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_atanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_baddbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_baddbmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bfloat16_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_not_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_shapes_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cartesian_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cauchy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdouble_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdouble_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cfloat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_chalf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_chalf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cholesky_inverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_chunk_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_max_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_min_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_conj_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_conj_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_contiguous_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_corrcoef_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cosh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cosh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_count_nonzero_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diag_embed_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diff_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_floor_rounding_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_dstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_eq_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_erf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_erf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expm1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expm1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_flatten_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_flatten_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_flip_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_flipud_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_floor_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_floor_divide_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_full_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_full_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_full_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_gather_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_gcd_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ge_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_geometric_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_geqrf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gradient_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gt_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_heaviside_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_i0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_fill_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_put_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_inner_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_int_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_int_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isclose_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isfinite_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isfinite_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isnan_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_4inputs_with_extra_args_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_return_by_ref_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_unary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_kthvalue_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_kthvalue_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lcm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_le_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_lgamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_lgamma_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cross_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_inv_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_pinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_tensorinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_vander_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_vecdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log10_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log10_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_softmax_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_and_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_not_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_not_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_or_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_or_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_xor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logsumexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mH_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mT_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mT_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_fill_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_var_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_var_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_matrix_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_median_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_list_of_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_reduction_no_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_reduction_with_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanmedian_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nansum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_narrow_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_native_layer_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ne_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_empty_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_cosine_embedding_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_linear_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_local_response_norm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_margin_ranking_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_mish_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_circular_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_negative_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pairwise_distance_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_unshuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu6_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softmin_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softsign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_threshold_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_threshold_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_fro_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_normal_in_place_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_outer_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_outer_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_permute_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_permute_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_permute_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_pinverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_3_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_positive_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_pow_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_pow_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rad2deg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ravel_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_reciprocal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_repeat_interleave_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_reshape_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_reshape_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_reshape_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_resize_as__cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_roll_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rsqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rsub_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scalar_tensor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_amax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_sum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_searchsorted_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_select_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sgn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_hann_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_nuttall_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signbit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinc_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_airy_ai_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_airy_ai_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_j0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_j1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_v_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_he_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i0e_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_k0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_polygamma_special_polygamma_n_0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_scaled_modified_bessel_k1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_w_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_xlog1py_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_square_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_squeeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_squeeze_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_squeeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_squeeze_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_std_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_stft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_to_size_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_svd_lowrank_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_t_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tan_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tanh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tensor_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tensordot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tile_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_topk_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_trace_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_transpose_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_trapz_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tril_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_tril_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_trunc_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unbind_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unbind_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unfold_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_uniform_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unique_consecutive_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unique_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsqueeze_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsqueeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_var_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_vdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_vdot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_view_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_vsplit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_where_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_where_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_xlogy_cpu_float32, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values___getitem___cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values___rxor___cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values__unsafe_masked_index_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values__unsafe_masked_index_put_accumulate_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_addr_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_all_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_aminmax_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_as_strided_copy_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_as_strided_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_as_strided_partial_views_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_atanh_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_atleast_3d_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_bfloat16_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_bitwise_xor_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_cat_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_chalf_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_clamp_min_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_conj_physical_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_cos_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_diag_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_diagonal_scatter_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_div_no_rounding_mode_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_empty_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_empty_permuted_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_equal_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_erf_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_erfc_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_expand_as_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_expand_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_expm1_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_eye_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_fft2_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_fftn_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_hfft2_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_hfft_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_hfftn_cpu_bool, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cholesky_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cond_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_diagonal_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_eig_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_inv_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_inv_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_factor_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_matrix_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_multi_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_pinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_pinv_hermitian_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_qr_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_solve_triangular_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_svd_cpu_complex64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_not_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_xor_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logit_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logsumexp_cpu_int64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_cumprod_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_cumsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_fill_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_logsumexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_normalize_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_select_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_sum_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_var_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_var_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_maximum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_maximum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_meshgrid_list_of_tensors_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_meshgrid_list_of_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_meshgrid_variadic_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_min_reduction_with_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_minimum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mm_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_movedim_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_movedim_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mul_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mul_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mv_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nan_to_num_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nanmedian_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_narrow_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_narrow_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_narrow_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_native_dropout_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ne_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_neg_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_empty_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_empty_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_full_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_zeros_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nextafter_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_celu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_channel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv1d_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose3d_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_glu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardtanh_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_linear_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_linear_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_mish_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_normalize_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_constant_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_reflect_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pairwise_distance_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_shuffle_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_unshuffle_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_prelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_relu6_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_relu_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_rms_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_silu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softmin_with_dtype_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_threshold_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, 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test/test_ops.py::TestMathBitsCPU::test_conj_view_combinations_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_count_nonzero_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cumprod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cumulative_trapezoid_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diag_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diagonal_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diff_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_div_no_rounding_mode_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_dsplit_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_einsum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_empty_like_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_eq_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_hfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_hfftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_ifft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_irfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fill_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_full_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_hsplit_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_hstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_imag_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_put_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isfinite_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isinf_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_jiterator_binary_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_jiterator_binary_return_by_ref_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_jiterator_unary_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_kron_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_lerp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cross_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_det_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_diagonal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eig_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_inv_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_ldl_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lstsq_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lstsq_grad_oriented_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_matrix_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_matrix_power_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_matrix_rank_hermitian_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_hermitian_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_qr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_svd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_vecdot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linspace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log1p_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logcumsumexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logdet_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logical_and_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logsumexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_long_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_lu_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_lu_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mH_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_prod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_std_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_matrix_exp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_meshgrid_list_of_tensors_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_neg_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_ones_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_zeros_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv_transpose1d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_l1_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_linear_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_constant_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_replicate_negative_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_rms_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nonzero_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ormqr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_outer_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_pinverse_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_pow_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_prod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ravel_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_real_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_renorm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_reshape_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_resolve_conj_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_resolve_neg_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_roll_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_rot90_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_rsqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_select_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sgn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sigmoid_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_list_args_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_with_sizes_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_with_sizes_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_square_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_mean_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sub_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sum_to_size_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_svd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_t_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_take_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_to_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tril_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_triu_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unbind_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unflatten_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_view_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_view_as_real_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_view_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_vstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_H_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rsub___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_T_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_cdouble_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_cfloat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_chalf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_char_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_double_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_half_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_int_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_add_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atleast_3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_broadcast_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_column_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_conj_physical_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_contiguous_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cumsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_dsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_empty_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_eq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_equal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_exp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_expand_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_expm1_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_fft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_fftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_irfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fliplr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_index_add_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_index_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isclose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isnan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isreal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_lerp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_cross_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log10_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log1p_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logsumexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_movedim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_narrow_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_narrow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_empty_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_positive_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_ravel_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sigmoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sinc_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_special_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_special_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_std_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_stft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sum_to_size_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_t_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_t_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_take_along_dim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_tril_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unfold_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unfold_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_vdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_view_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_vstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_acosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_add_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_as_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atanh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bfloat16_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cartesian_prod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_char_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_clone_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_column_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_conj_physical_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_corrcoef_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diff_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dist_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expm1_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_fft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_fftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_hfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_ifft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_ifft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_irfft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_irfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_irfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_half_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_imag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_add_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isnan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_istft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_2inputs_2outputs_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_binary_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_cross_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_det_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_eigvals_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_inv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_matrix_power_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_matrix_rank_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_multi_dot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_pinv_hermitian_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_solve_triangular_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_svdvals_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_tensorinv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logdet_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_and_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_not_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_or_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_long_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mT_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_prod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_matrix_exp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_movedim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_narrow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ne_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_channel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv_transpose3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_linear_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_normalize_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_circular_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_constant_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_replicate_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pairwise_distance_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pixel_unshuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_softmin_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_softsign_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_tanhshrink_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_unfold_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ormqr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_outer_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pca_lowrank_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_permute_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pinverse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_positive_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_put_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_qr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_reciprocal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_renorm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resize_as__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resolve_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_scalar_tensor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_slice_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sparse_sampled_addmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_split_with_sizes_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_squeeze_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_std_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_std_mean_unbiased_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_std_unbiased_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_stft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_svd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_t_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tanh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tensordot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_to_sparse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trapezoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_true_divide_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unfold_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unfold_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsafe_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsqueeze_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_var_mean_unbiased_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_var_unbiased_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_as_real_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_where_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zeros_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view___rpow___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rsub___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__batch_norm_with_update_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_T_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_bfloat16_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_bool_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_chalf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_double_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_int_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_acos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_acosh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_alias_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_all_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_any_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atleast_1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ceil_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_clamp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_conj_physical_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_count_nonzero_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cumsum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diagonal_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_div_trunc_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_dot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_dstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_erfinv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_exp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expand_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expand_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expand_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_hfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_hfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_hfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ifftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ihfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ihfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_rfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fliplr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_floor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_hypot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_i0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_igammac_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isneginf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_item_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_le_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_vector_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linspace_tensor_overload_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log1p_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logaddexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_and_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_not_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_lt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_narrow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nextafter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_channel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_elu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_gelu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_group_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_huber_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_mse_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_relu6_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_relu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_smooth_l1_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_softplus_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_normal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ones_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_permute_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_permute_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_repeat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_roll_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sinh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_i1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_log_ndtr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_multigammaln_mvlgamma_p_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_multigammaln_mvlgamma_p_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_split_with_sizes_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sqrt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_square_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_squeeze_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_squeeze_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_t_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_take_along_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_trunc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unbind_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_var_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_where_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_xlogy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__segment_reduce_lengths_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__upsample_bilinear2d_aa_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_add_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addbmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_alias_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_all_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_amax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_arange_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_argwhere_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_partial_views_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_asin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_asinh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atan2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_baddbmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_bool_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cfloat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_char_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cholesky_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cholesky_inverse_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_clamp_min_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_clone_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_conj_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_constant_pad_nd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_contiguous_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_corrcoef_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cosh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cummax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_deg2rad_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diag_embed_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_digamma_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_no_rounding_mode_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_dot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_double_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_equal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_erf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expand_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expand_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_rfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_flipud_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_frexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_full_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ge_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_grid_sampler_2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_half_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_hash_tensor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_histogram_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_hstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_add_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_reduce_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_reduce_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_int_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isneginf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_2inputs_2outputs_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_4inputs_with_extra_args_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_binary_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_kthvalue_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_cond_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_inv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_inv_ex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lu_factor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_rank_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_pinv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_slogdet_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_solve_triangular_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_svd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vector_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linspace_tensor_overload_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log10_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logaddexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logcumsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lu_unpack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mT_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_argmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_argmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_cumsum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_logaddexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_median_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_matmul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_pool2d_with_indices_backward_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_reduction_with_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_maximum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_meshgrid_variadic_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_min_binary_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_min_reduction_no_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nan_to_num_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nanmean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nansum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_neg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_full_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_ones_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_zeros_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_avg_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_avg_pool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_avg_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_channel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv_transpose1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_cross_entropy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_ctc_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_grid_sample_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_hardsigmoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_huber_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_area_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_bilinear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_trilinear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_kl_div_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_l1_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_leaky_relu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_linear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_margin_ranking_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool1d_grad_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_normalize_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_replicate_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pixel_unshuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_prelu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_relu6_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_relu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_rms_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_softmin_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_softshrink_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_upsample_bilinear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_upsample_nearest_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nonzero_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nonzero_static_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_norm_nuc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_normal_in_place_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_pca_lowrank_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_permute_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_pow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_qr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_rand_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_randint_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ravel_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_real_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_reciprocal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_reshape_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_resize_as__cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_rot90_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_round_decimals_0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_round_decimals_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scatter_add_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scatter_reduce_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sgn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sigmoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_blackman_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_gaussian_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_hamming_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_kaiser_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_slice_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sort_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_airy_ai_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_j1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_y0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_y1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_chebyshev_polynomial_v_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_entr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_erfcx_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_hermite_polynomial_he_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_i1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_i1e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_log_ndtr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_modified_bessel_i1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_modified_bessel_k0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_scaled_modified_bessel_k1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_shifted_chebyshev_polynomial_v_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_zeta_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_split_with_sizes_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_squeeze_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_squeeze_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_std_mean_unbiased_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_stft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sub_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_t_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_t_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_tensordot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_to_sparse_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_topk_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_transpose_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_trapezoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_trapz_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_triu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unbind_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unique_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_var_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_where_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_zeros_cpu_float64, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs__conversions_polar_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_acos__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_acosh_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_add_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_addcdiv__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_addcdiv_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_addr_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_all_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_allclose_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_amax_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_amin_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_any_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_arange_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_as_strided_copy_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_as_strided_scatter_cpu, 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test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_new_empty_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_normal_in_place_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ormqr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polar_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_pow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_repeat_interleave_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rot90_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scalar_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_blackman_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_hann_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_nuttall_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signbit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_bessel_y1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_scaled_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_var_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_as_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_vstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_left_shift_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_cartesian_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_copysign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_count_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___getitem___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rmatmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rpow___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_acos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addcdiv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addmv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_alias_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atan2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_broadcast_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cholesky_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ihfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_flatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_flip_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_eigh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_pow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sinc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_take_along_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_trunc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_T_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___getitem___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rsub___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_abs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_acos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_acosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addcdiv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addcmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_alias_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_angle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atleast_1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_baddbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cov_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_flatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_flip_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_frac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_grid_sampler_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_hstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_matrix_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_prelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_threshold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_ormqr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rot90_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unsqueeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_xlogy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_deg2rad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_div_trunc_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_equal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_eye_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_flip_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fmod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_grid_sampler_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_half_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hash_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_histogramdd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_igammac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isposinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_item_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lcm_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_ldexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_householder_product_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vander_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_or_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_narrow_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_empty_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_glu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_threshold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_pow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randn_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scalar_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_blackman_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_hann_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_y1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_take_along_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_torch__scaled_mm_cpu_float8_e4m3fn, test/test_ops.py::TestFakeTensorCPU::test_fake_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trunc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unique_consecutive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_var_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___radd___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rand___cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rdiv___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___ror___cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rpow___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rsub___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__batch_norm_with_update_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addcmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_allclose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argsort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argwhere_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_asin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_and_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_not_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_xor_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bucketize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_byte_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cholesky_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_contiguous_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_copysign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cummin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_deg2rad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_empty_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_empty_permuted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_eq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_equal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_eye_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_hfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_irfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_full_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gcd_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ge_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_heaviside_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_histc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_imag_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_int_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isnan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isneginf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isreal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_istft_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_le_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_vander_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log1p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_and_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_or_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_xor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_long_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ne_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_glu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_threshold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_normal_number_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randint_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randint_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_remainder_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_searchsorted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_blackman_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_hann_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_nuttall_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_bessel_j1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_take_along_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tril_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_trunc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unique_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unravel_index_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsqueeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_as_real_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_zeros_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int64, 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test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float64, 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2025-08-26T20:41:05.2235570Z 
2025-08-26T20:44:24.9408290Z 
2025-08-26T20:44:24.9408810Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_88134ef2e1dce1f6_.log
2025-08-26T20:44:25.0016710Z Running 2126 items in this shard: test/functorch/test_vmap.py::TestVmapAPI::test_accepts_nested_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_backward_unsupported_interaction, test/functorch/test_vmap.py::TestVmapAPI::test_batch_rule_does_not_need_to_handle_no_batched_input, test/functorch/test_vmap.py::TestVmapAPI::test_batched_gradient_basic, test/functorch/test_vmap.py::TestVmapAPI::test_checkpoint, test/functorch/test_vmap.py::TestVmapAPI::test_constant_function, test/functorch/test_vmap.py::TestVmapAPI::test_data_attribute, test/functorch/test_vmap.py::TestVmapAPI::test_data_dependent_control_flow_throws, test/functorch/test_vmap.py::TestVmapAPI::test_decomposition_under_python_dispatcher, test/functorch/test_vmap.py::TestVmapAPI::test_different_map_dim_size_raises, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_does_not_warn_by_default, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_masked_fill, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_multiple_returns, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warning, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warns_when_warnings_are_enabled, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_with_undefined_grad, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_zero_dim, test/functorch/test_vmap.py::TestVmapAPI::test_func_with_no_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_func_with_no_tensors, test/functorch/test_vmap.py::TestVmapAPI::test_functools_partial, test/functorch/test_vmap.py::TestVmapAPI::test_grad_unsupported_interaction, test/functorch/test_vmap.py::TestVmapAPI::test_in_dim_not_in_tensor_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_in_dims_wrong_type_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_different_levels, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_same_levels, 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test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_grad_and_value_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_grad_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jacfwd_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jacrev_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jvp_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vjp_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vmap_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_2_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_2_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_2_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_different_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_error_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_same_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_different_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_different_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_error_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_error_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_same_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_same_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_first_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_first_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_last_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_last_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_none_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_none_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_first_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_first_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_last_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_last_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_none_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_none_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_first_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_first_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_last_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_last_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_none_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_none_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_jacfwd_with_random_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_different_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_different_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_error_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_error_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_same_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_same_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_unsupported_random_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_2_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test__is_all_true_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test__is_any_true_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_check_tensor_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_vmap_fallback_check_ok, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_cat_batching_rule_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_batched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_unbatched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_unary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_with_nt_and_batched_dense_with_nonzero_bdim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_multilevel_vmap_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_acts_as_dense_in_vmap_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_with_nonzero_in_dim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_with_nonzero_out_dim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_shape_call_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check_ok
2025-08-26T20:44:25.0583070Z 
2025-08-26T20:44:25.4598790Z Running test batch 'tests to run' cost 3455.85 seconds
2025-08-26T20:44:25.9470040Z 
2025-08-26T20:44:25.9471080Z real	57m41.355s
2025-08-26T20:44:25.9471540Z user	124m40.294s
2025-08-26T20:44:25.9471880Z sys	15m47.410s
2025-08-26T20:44:25.9472030Z + assert_git_not_dirty
2025-08-26T20:44:25.9472210Z + [[ macos-py3-arm64 != *rocm* ]]
2025-08-26T20:44:25.9472400Z + [[ macos-py3-arm64 != *xla* ]]
2025-08-26T20:44:25.9478320Z ++ git status --porcelain
2025-08-26T20:44:25.9478580Z ++ grep -v '?? third_party'
2025-08-26T20:44:30.3594970Z ++ true
2025-08-26T20:44:30.3596380Z + git_status=
2025-08-26T20:44:30.3596590Z + [[ -n '' ]]
2025-08-26T20:44:30.3596720Z + [[ 1 == 1 ]]
2025-08-26T20:44:30.3596840Z + test_libtorch
2025-08-26T20:44:30.3596970Z + [[ 0 == \1 ]]
2025-08-26T20:44:30.3597320Z + test_custom_script_ops
2025-08-26T20:44:30.3597480Z + print_cmake_info
2025-08-26T20:44:30.3601130Z ++ which cmake
2025-08-26T20:44:30.3641340Z + CMAKE_EXEC=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/cmake
2025-08-26T20:44:30.3641730Z + echo /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/cmake
2025-08-26T20:44:30.3642140Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/cmake
2025-08-26T20:44:30.3644740Z ++ dirname /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/cmake
2025-08-26T20:44:30.3675570Z + CONDA_INSTALLATION_DIR=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin
2025-08-26T20:44:30.3675950Z + ls -la /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/../lib
2025-08-26T20:44:30.3730330Z total 0
2025-08-26T20:44:30.3730670Z drwxr-xr-x  3 ec2-user  staff   96 Aug 26 19:46 .
2025-08-26T20:44:30.3730930Z drwxr-xr-x  8 ec2-user  staff  256 Aug 26 19:46 ..
2025-08-26T20:44:30.3731190Z drwxr-xr-x  3 ec2-user  staff   96 Aug 26 19:46 python3.12
2025-08-26T20:44:30.3731760Z + echo 'Testing custom script operators'
2025-08-26T20:44:30.3731990Z Testing custom script operators
2025-08-26T20:44:30.3732180Z + pushd test/custom_operator
2025-08-26T20:44:30.3732490Z ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-08-26T20:44:30.3732810Z + rm -rf build
2025-08-26T20:44:30.3762240Z + mkdir build
2025-08-26T20:44:30.3790470Z + pushd build
2025-08-26T20:44:30.3790920Z ~/runner/_work/pytorch/pytorch/test/custom_operator/build ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-08-26T20:44:30.3793740Z ++ python -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())'
2025-08-26T20:44:30.4629180Z + SITE_PACKAGES=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages
2025-08-26T20:44:30.4629730Z + CMAKE_PREFIX_PATH=/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch
2025-08-26T20:44:30.4630220Z + /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/bin/cmake ..
2025-08-26T20:44:30.7338430Z -- The C compiler identification is AppleClang 15.0.0.15000309
2025-08-26T20:44:30.7982240Z -- The CXX compiler identification is AppleClang 15.0.0.15000309
2025-08-26T20:44:30.8385550Z -- Detecting C compiler ABI info
2025-08-26T20:44:30.9484360Z -- Detecting C compiler ABI info - done
2025-08-26T20:44:30.9521010Z -- Check for working C compiler: /Library/Developer/CommandLineTools/usr/bin/clang - skipped
2025-08-26T20:44:30.9536580Z -- Detecting C compile features
2025-08-26T20:44:30.9545940Z -- Detecting C compile features - done
2025-08-26T20:44:30.9749420Z -- Detecting CXX compiler ABI info
2025-08-26T20:44:31.0768870Z -- Detecting CXX compiler ABI info - done
2025-08-26T20:44:31.0806750Z -- Check for working CXX compiler: /Library/Developer/CommandLineTools/usr/bin/clang++ - skipped
2025-08-26T20:44:31.0808890Z -- Detecting CXX compile features
2025-08-26T20:44:31.0812270Z -- Detecting CXX compile features - done
2025-08-26T20:44:31.1400720Z CMake Warning at /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
2025-08-26T20:44:31.1401360Z   static library kineto_LIBRARY-NOTFOUND not found.
2025-08-26T20:44:31.1401600Z Call Stack (most recent call first):
2025-08-26T20:44:31.1402180Z   /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found)
2025-08-26T20:44:31.1402690Z   CMakeLists.txt:9 (find_package)
2025-08-26T20:44:31.1402820Z 
2025-08-26T20:44:31.1402820Z 
2025-08-26T20:44:31.1403720Z -- Found Torch: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib/libtorch.dylib  
2025-08-26T20:44:31.1405270Z -- Configuring done (0.6s)
2025-08-26T20:44:31.1479440Z -- Generating done (0.0s)
2025-08-26T20:44:31.1505130Z -- Build files have been written to: /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build
2025-08-26T20:44:31.1544610Z + make VERBOSE=1
2025-08-26T20:44:31.1610150Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/cmake/data/bin/cmake -S/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator -B/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build --check-build-system CMakeFiles/Makefile.cmake 0
2025-08-26T20:44:31.1659080Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_progress_start /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build//CMakeFiles/progress.marks
2025-08-26T20:44:31.1697030Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/Makefile2 all
2025-08-26T20:44:31.1711870Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/custom_ops.dir/build.make CMakeFiles/custom_ops.dir/depend
2025-08-26T20:44:31.1726850Z cd /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build && /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_depends "Unix Makefiles" /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles/custom_ops.dir/DependInfo.cmake "--color="
2025-08-26T20:44:31.1788150Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/custom_ops.dir/build.make CMakeFiles/custom_ops.dir/build
2025-08-26T20:44:31.1855980Z [ 25%] Building CXX object CMakeFiles/custom_ops.dir/op.cpp.o
2025-08-26T20:44:31.1859210Z /Library/Developer/CommandLineTools/usr/bin/clang++ -Dcustom_ops_EXPORTS -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -std=gnu++17 -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -fPIC -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -MD -MT CMakeFiles/custom_ops.dir/op.cpp.o -MF CMakeFiles/custom_ops.dir/op.cpp.o.d -o CMakeFiles/custom_ops.dir/op.cpp.o -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/op.cpp
2025-08-26T20:44:39.1919970Z [ 50%] Linking CXX shared library libcustom_ops.dylib
2025-08-26T20:44:39.1921540Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_link_script CMakeFiles/custom_ops.dir/link.txt --verbose=1
2025-08-26T20:44:39.1957880Z /Library/Developer/CommandLineTools/usr/bin/clang++  -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -dynamiclib -Wl,-headerpad_max_install_names -o libcustom_ops.dylib -install_name @rpath/libcustom_ops.dylib CMakeFiles/custom_ops.dir/op.cpp.o -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib/libc10.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib/libtorch.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib/libtorch_cpu.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib/libc10.dylib -Xlinker -framework -Xlinker Metal -Xlinker -framework -Xlinker MetalPerformanceShaders -Xlinker -framework -Xlinker Foundation -Xlinker -framework -Xlinker Accelerate 
2025-08-26T20:44:39.2911870Z [ 50%] Built target custom_ops
2025-08-26T20:44:39.2913720Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/test_custom_ops.dir/build.make CMakeFiles/test_custom_ops.dir/depend
2025-08-26T20:44:39.2930480Z cd /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build && /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_depends "Unix Makefiles" /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles/test_custom_ops.dir/DependInfo.cmake "--color="
2025-08-26T20:44:39.2990150Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/test_custom_ops.dir/build.make CMakeFiles/test_custom_ops.dir/build
2025-08-26T20:44:39.3057510Z [ 75%] Building CXX object CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o
2025-08-26T20:44:39.3060810Z /Library/Developer/CommandLineTools/usr/bin/clang++  -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -std=gnu++17 -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -MD -MT CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -MF CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o.d -o CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/test_custom_ops.cpp
2025-08-26T20:44:42.8734350Z [100%] Linking CXX executable test_custom_ops
2025-08-26T20:44:42.8735940Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_link_script CMakeFiles/test_custom_ops.dir/link.txt --verbose=1
2025-08-26T20:44:42.8773640Z /Library/Developer/CommandLineTools/usr/bin/clang++  -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -Wl,-search_paths_first -Wl,-headerpad_max_install_names CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -o test_custom_ops -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -Wl,-rpath,/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib libcustom_ops.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib/libtorch.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib/libtorch_cpu.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib/libc10.dylib -Xlinker -framework -Xlinker Metal -Xlinker -framework -Xlinker MetalPerformanceShaders -Xlinker -framework -Xlinker Foundation -Xlinker -framework -Xlinker Accelerate /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/lib/libc10.dylib 
2025-08-26T20:44:42.9673080Z [100%] Built target test_custom_ops
2025-08-26T20:44:42.9677170Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_progress_start /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles 0
2025-08-26T20:44:42.9716370Z + popd
2025-08-26T20:44:42.9716520Z + python test_custom_ops.py -v
2025-08-26T20:44:42.9716840Z ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-08-26T20:44:44.4987300Z 
2025-08-26T20:44:44.4987750Z Test results will be stored in test-reports/python-unittest/test_custom_ops
2025-08-26T20:44:44.4988100Z Running tests...
2025-08-26T20:44:44.4988520Z ----------------------------------------------------------------------
2025-08-26T20:44:44.6393810Z   test_abstract_impl_pystub_faketensor (__main__.TestCustomOperators.test_abstract_impl_pystub_faketensor) ... /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/my_custom_ops.py:13: FutureWarning: `create_unbacked_symint` is deprecated, please use `new_dynamic_size` instead
2025-08-26T20:44:44.6394650Z   nnz = ctx.create_unbacked_symint()
2025-08-26T20:44:44.6500010Z ok (0.151s)
2025-08-26T20:44:44.6525610Z   test_abstract_impl_pystub_meta (__main__.TestCustomOperators.test_abstract_impl_pystub_meta) ... ok (0.002s)
2025-08-26T20:44:44.6533400Z   test_calling_custom_op (__main__.TestCustomOperators.test_calling_custom_op) ... ok (0.001s)
2025-08-26T20:44:44.6731640Z   test_calling_custom_op_inside_script_module (__main__.TestCustomOperators.test_calling_custom_op_inside_script_module) ... ok (0.020s)
2025-08-26T20:44:44.6735390Z   test_calling_custom_op_string (__main__.TestCustomOperators.test_calling_custom_op_string) ... ok (0.000s)
2025-08-26T20:44:44.6746570Z   test_calling_custom_op_with_autograd (__main__.TestCustomOperators.test_calling_custom_op_with_autograd) ... /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages/torch/autograd/graph.py:841: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/torch/csrc/autograd/engine.cpp:1296.)
2025-08-26T20:44:44.6748420Z   return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2025-08-26T20:44:44.6750930Z ok (0.002s)
2025-08-26T20:44:44.6754200Z   test_calling_custom_op_with_autograd_in_nograd_mode (__main__.TestCustomOperators.test_calling_custom_op_with_autograd_in_nograd_mode) ... ok (0.000s)
2025-08-26T20:44:44.6755460Z   test_custom_library_is_loaded (__main__.TestCustomOperators.test_custom_library_is_loaded) ... ok (0.000s)
2025-08-26T20:44:44.7191100Z   test_dynamo_pystub_suggestion (__main__.TestCustomOperators.test_dynamo_pystub_suggestion) ... ok (0.043s)
2025-08-26T20:44:44.7195670Z   test_op_with_incorrect_abstract_impl_pystub (__main__.TestCustomOperators.test_op_with_incorrect_abstract_impl_pystub) ... ok (0.000s)
2025-08-26T20:44:44.7198700Z   test_op_with_no_abstract_impl_pystub (__main__.TestCustomOperators.test_op_with_no_abstract_impl_pystub) ... ok (0.000s)
2025-08-26T20:44:44.7247900Z   test_saving_and_loading_script_module_with_custom_op (__main__.TestCustomOperators.test_saving_and_loading_script_module_with_custom_op) ... ok (0.005s)
2025-08-26T20:44:44.7248320Z 
2025-08-26T20:44:44.7248430Z ----------------------------------------------------------------------
2025-08-26T20:44:44.7248670Z Ran 12 tests in 0.226s
2025-08-26T20:44:44.7248780Z 
2025-08-26T20:44:44.7248820Z OK
2025-08-26T20:44:44.7249000Z 
2025-08-26T20:44:44.7249130Z Generating XML reports...
2025-08-26T20:44:44.7313230Z Generated XML report: test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20250826204444.xml
2025-08-26T20:44:45.0649680Z + python model.py --export-script-module=model.pt
2025-08-26T20:44:45.8579860Z + build/test_custom_ops ./model.pt
2025-08-26T20:44:46.0558260Z [W826 20:44:46.047313000 engine.cpp:1296] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2025-08-26T20:44:46.1243470Z ok
2025-08-26T20:44:46.1257910Z + popd
2025-08-26T20:44:46.1258290Z + assert_git_not_dirty
2025-08-26T20:44:46.1258460Z + [[ macos-py3-arm64 != *rocm* ]]
2025-08-26T20:44:46.1258660Z + [[ macos-py3-arm64 != *xla* ]]
2025-08-26T20:44:46.1258850Z ~/runner/_work/pytorch/pytorch
2025-08-26T20:44:46.1265070Z ++ git status --porcelain
2025-08-26T20:44:46.1265850Z ++ grep -v '?? third_party'
2025-08-26T20:44:46.5753900Z ++ true
2025-08-26T20:44:46.5755500Z + git_status=
2025-08-26T20:44:46.5755660Z + [[ -n '' ]]
2025-08-26T20:44:46.5925160Z ##[group]Run cat test/**/*_toprint.log || true
2025-08-26T20:44:46.5925480Z cat test/**/*_toprint.log || true
2025-08-26T20:44:46.6147450Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:44:46.6147720Z env:
2025-08-26T20:44:46.6147890Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:46.6148110Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:46.6148330Z   TEST_CONFIG: default
2025-08-26T20:44:46.6148480Z   SHARD_NUMBER: 1
2025-08-26T20:44:46.6148640Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:46.6154440Z   PR_BODY: 
2025-08-26T20:44:46.6154590Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:46.6154860Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:46.6155120Z ##[endgroup]
2025-08-26T20:44:47.1390650Z cat: test/**/*_toprint.log: No such file or directory
2025-08-26T20:44:47.1423810Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-08-26T20:44:47.1424060Z kill "$MONITOR_SCRIPT_PID"
2025-08-26T20:44:47.1437020Z shell: /bin/bash -e -l {0}
2025-08-26T20:44:47.1437220Z env:
2025-08-26T20:44:47.1437350Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:47.1437540Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:47.1437740Z   TEST_CONFIG: default
2025-08-26T20:44:47.1437890Z   SHARD_NUMBER: 1
2025-08-26T20:44:47.1438040Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:47.1438190Z   PR_BODY: 
2025-08-26T20:44:47.1438340Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:47.1438620Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:47.1438930Z   MONITOR_SCRIPT_PID: 77580
2025-08-26T20:44:47.1439100Z ##[endgroup]
2025-08-26T20:44:47.1823240Z Prepare all required actions
2025-08-26T20:44:47.1823580Z Getting action download info
2025-08-26T20:44:47.3631610Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-26T20:44:47.5767220Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-08-26T20:44:47.8399210Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-08-26T20:44:47.8399460Z with:
2025-08-26T20:44:47.8399580Z   use-gha: true
2025-08-26T20:44:47.8399780Z   file-suffix: test-default-1-3-macos-m1-stable_48945196813
2025-08-26T20:44:47.8400010Z   s3-bucket: gha-artifacts
2025-08-26T20:44:47.8400160Z env:
2025-08-26T20:44:47.8400280Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:47.8400440Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:47.8400620Z   TEST_CONFIG: default
2025-08-26T20:44:47.8400750Z   SHARD_NUMBER: 1
2025-08-26T20:44:47.8400900Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:47.8401050Z   PR_BODY: 
2025-08-26T20:44:47.8401240Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:47.8401570Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:47.8401820Z ##[endgroup]
2025-08-26T20:44:47.8450300Z ##[group]Run actions/upload-artifact@v4
2025-08-26T20:44:47.8450490Z with:
2025-08-26T20:44:47.8450730Z   name: test-jsons-runattempt1-test-default-1-3-macos-m1-stable_48945196813.zip
2025-08-26T20:44:47.8451020Z   retention-days: 14
2025-08-26T20:44:47.8451170Z   if-no-files-found: warn
2025-08-26T20:44:47.8451320Z   path: test/**/*.json
2025-08-26T20:44:47.8451460Z   compression-level: 6
2025-08-26T20:44:47.8451600Z   overwrite: false
2025-08-26T20:44:47.8451740Z   include-hidden-files: false
2025-08-26T20:44:47.8451900Z env:
2025-08-26T20:44:47.8452010Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:47.8452290Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:47.8452470Z   TEST_CONFIG: default
2025-08-26T20:44:47.8452740Z   SHARD_NUMBER: 1
2025-08-26T20:44:47.8452880Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:47.8453010Z   PR_BODY: 
2025-08-26T20:44:47.8453140Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:47.8453370Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:47.8453610Z ##[endgroup]
2025-08-26T20:44:48.2848850Z With the provided path, there will be 7 files uploaded
2025-08-26T20:44:48.2852450Z Artifact name is valid!
2025-08-26T20:44:48.2852680Z Root directory input is valid!
2025-08-26T20:44:48.4108510Z Beginning upload of artifact content to blob storage
2025-08-26T20:44:49.3130290Z Uploaded bytes 46911
2025-08-26T20:44:49.3456160Z Finished uploading artifact content to blob storage!
2025-08-26T20:44:49.3459130Z SHA256 digest of uploaded artifact zip is 6dfaa2a29d115df062538144ed4f058ea0f08489abeb710a70cec4f483a76762
2025-08-26T20:44:49.3461180Z Finalizing artifact upload
2025-08-26T20:44:49.4576600Z Artifact test-jsons-runattempt1-test-default-1-3-macos-m1-stable_48945196813.zip.zip successfully finalized. Artifact ID 3857663261
2025-08-26T20:44:49.4581390Z Artifact test-jsons-runattempt1-test-default-1-3-macos-m1-stable_48945196813.zip has been successfully uploaded! Final size is 46911 bytes. Artifact ID is 3857663261
2025-08-26T20:44:49.4612550Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/17248463647/artifacts/3857663261
2025-08-26T20:44:49.4861110Z ##[group]Run actions/upload-artifact@v4
2025-08-26T20:44:49.4861710Z with:
2025-08-26T20:44:49.4862520Z   name: test-reports-runattempt1-test-default-1-3-macos-m1-stable_48945196813.zip
2025-08-26T20:44:49.4863440Z   retention-days: 14
2025-08-26T20:44:49.4863960Z   if-no-files-found: ignore
2025-08-26T20:44:49.4864510Z   path: test/**/*.xml
test/**/*.csv

2025-08-26T20:44:49.4865120Z   compression-level: 6
2025-08-26T20:44:49.4865590Z   overwrite: false
2025-08-26T20:44:49.4866090Z   include-hidden-files: false
2025-08-26T20:44:49.4866600Z env:
2025-08-26T20:44:49.4867010Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:49.4868670Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:49.4869320Z   TEST_CONFIG: default
2025-08-26T20:44:49.4869850Z   SHARD_NUMBER: 1
2025-08-26T20:44:49.4870290Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:49.4870860Z   PR_BODY: 
2025-08-26T20:44:49.4871330Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:49.4872180Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:49.4898910Z ##[endgroup]
2025-08-26T20:44:49.8942410Z With the provided path, there will be 149 files uploaded
2025-08-26T20:44:49.8945450Z Artifact name is valid!
2025-08-26T20:44:49.8945940Z Root directory input is valid!
2025-08-26T20:44:49.9604710Z Beginning upload of artifact content to blob storage
2025-08-26T20:44:50.3663170Z Uploaded bytes 761017
2025-08-26T20:44:50.3874460Z Finished uploading artifact content to blob storage!
2025-08-26T20:44:50.3878350Z SHA256 digest of uploaded artifact zip is 06ea06b0e96b820ceb8ff47aafbf71ed52112311efe8fc91bee7234e181bc986
2025-08-26T20:44:50.3880540Z Finalizing artifact upload
2025-08-26T20:44:50.4700410Z Artifact test-reports-runattempt1-test-default-1-3-macos-m1-stable_48945196813.zip.zip successfully finalized. Artifact ID 3857663391
2025-08-26T20:44:50.4706900Z Artifact test-reports-runattempt1-test-default-1-3-macos-m1-stable_48945196813.zip has been successfully uploaded! Final size is 761017 bytes. Artifact ID is 3857663391
2025-08-26T20:44:50.4735410Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/17248463647/artifacts/3857663391
2025-08-26T20:44:50.4991610Z ##[group]Run actions/upload-artifact@v4
2025-08-26T20:44:50.4992220Z with:
2025-08-26T20:44:50.4992960Z   name: logs-runattempt1-test-default-1-3-macos-m1-stable_48945196813.zip
2025-08-26T20:44:50.4993830Z   retention-days: 14
2025-08-26T20:44:50.4994370Z   if-no-files-found: ignore
2025-08-26T20:44:50.4994960Z   path: usage_log.txt
test/**/*.log

2025-08-26T20:44:50.4995540Z   compression-level: 6
2025-08-26T20:44:50.4996060Z   overwrite: false
2025-08-26T20:44:50.4996770Z   include-hidden-files: false
2025-08-26T20:44:50.4997360Z env:
2025-08-26T20:44:50.4997770Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:50.4998380Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:50.4999040Z   TEST_CONFIG: default
2025-08-26T20:44:50.4999520Z   SHARD_NUMBER: 1
2025-08-26T20:44:50.5000000Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:50.5000480Z   PR_BODY: 
2025-08-26T20:44:50.5000930Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:50.5001730Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:50.5002500Z ##[endgroup]
2025-08-26T20:44:50.9172910Z Multiple search paths detected. Calculating the least common ancestor of all paths
2025-08-26T20:44:50.9173740Z The least common ancestor is /Users/ec2-user/runner/_work/pytorch/pytorch. This will be the root directory of the artifact
2025-08-26T20:44:50.9174220Z With the provided path, there will be 190 files uploaded
2025-08-26T20:44:50.9174570Z Artifact name is valid!
2025-08-26T20:44:50.9174790Z Root directory input is valid!
2025-08-26T20:44:50.9755450Z Beginning upload of artifact content to blob storage
2025-08-26T20:44:51.4186740Z Uploaded bytes 1203982
2025-08-26T20:44:51.4395760Z Finished uploading artifact content to blob storage!
2025-08-26T20:44:51.4399730Z SHA256 digest of uploaded artifact zip is e2643a4147fa5f50446b9cb0502a88f162b97011ee61c8d290d58c18dfd67dd4
2025-08-26T20:44:51.4402020Z Finalizing artifact upload
2025-08-26T20:44:51.5279130Z Artifact logs-runattempt1-test-default-1-3-macos-m1-stable_48945196813.zip.zip successfully finalized. Artifact ID 3857663540
2025-08-26T20:44:51.5283830Z Artifact logs-runattempt1-test-default-1-3-macos-m1-stable_48945196813.zip has been successfully uploaded! Final size is 1203982 bytes. Artifact ID is 3857663540
2025-08-26T20:44:51.5315590Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/17248463647/artifacts/3857663540
2025-08-26T20:44:51.5693580Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-08-26T20:44:51.5694260Z with:
2025-08-26T20:44:51.5694600Z   benchmark-results-dir: test/test-reports
2025-08-26T20:44:51.5695150Z   dry-run: false
2025-08-26T20:44:51.5695500Z   schema-version: v3
2025-08-26T20:44:51.5696460Z   github-token: ***
2025-08-26T20:44:51.5696880Z env:
2025-08-26T20:44:51.5697220Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:51.5697620Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:51.5698110Z   TEST_CONFIG: default
2025-08-26T20:44:51.5698460Z   SHARD_NUMBER: 1
2025-08-26T20:44:51.5698750Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:51.5699090Z   PR_BODY: 
2025-08-26T20:44:51.5699410Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:51.5699960Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:51.5700530Z ##[endgroup]
2025-08-26T20:44:51.5743980Z ##[group]Run set -eux
2025-08-26T20:44:51.5744350Z set -eux
2025-08-26T20:44:51.5744900Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-26T20:44:51.5745460Z 
2025-08-26T20:44:51.5745840Z DEVICE_NAME=""
2025-08-26T20:44:51.5746190Z DEVICE_TYPE=""
2025-08-26T20:44:51.5746670Z 
2025-08-26T20:44:51.5746980Z if command -v nvidia-smi; then
2025-08-26T20:44:51.5747850Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-08-26T20:44:51.5748660Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-08-26T20:44:51.5749380Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-08-26T20:44:51.5750010Z   python3 -mpip install torch==2.7.1
2025-08-26T20:44:51.5750530Z elif command -v rocminfo; then
2025-08-26T20:44:51.5751140Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-08-26T20:44:51.5751900Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-08-26T20:44:51.5752670Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-08-26T20:44:51.5753830Z   # GPU device name coming from rocminfo instead
2025-08-26T20:44:51.5754450Z   DEVICE_NAME=rocm
2025-08-26T20:44:51.5755100Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-08-26T20:44:51.5755840Z fi
2025-08-26T20:44:51.5756120Z 
2025-08-26T20:44:51.5756480Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-08-26T20:44:51.5757140Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-08-26T20:44:51.5786490Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:44:51.5786920Z env:
2025-08-26T20:44:51.5787160Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:51.5787510Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:51.5787880Z   TEST_CONFIG: default
2025-08-26T20:44:51.5788170Z   SHARD_NUMBER: 1
2025-08-26T20:44:51.5788450Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:51.5788720Z   PR_BODY: 
2025-08-26T20:44:51.5788970Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:51.5789440Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:51.5789990Z ##[endgroup]
2025-08-26T20:44:51.6069010Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-26T20:44:52.2065910Z Collecting boto3==1.35.33
2025-08-26T20:44:52.2093030Z   Using cached boto3-1.35.33-py3-none-any.whl.metadata (6.6 kB)
2025-08-26T20:44:52.2574580Z Collecting psutil==7.0.0
2025-08-26T20:44:52.2596050Z   Using cached psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl.metadata (22 kB)
2025-08-26T20:44:52.2743980Z Collecting pynvml==12.0.0
2025-08-26T20:44:52.2765020Z   Using cached pynvml-12.0.0-py3-none-any.whl.metadata (5.4 kB)
2025-08-26T20:44:52.2804220Z Requirement already satisfied: botocore<1.36.0,>=1.35.33 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from boto3==1.35.33) (1.35.99)
2025-08-26T20:44:52.2806980Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from boto3==1.35.33) (1.0.1)
2025-08-26T20:44:52.2809610Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from boto3==1.35.33) (0.10.4)
2025-08-26T20:44:52.2892020Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 (from pynvml==12.0.0)
2025-08-26T20:44:52.2913530Z   Using cached nvidia_ml_py-12.575.51-py3-none-any.whl.metadata (9.3 kB)
2025-08-26T20:44:52.2962770Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.9.0.post0)
2025-08-26T20:44:52.2968630Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.20)
2025-08-26T20:44:52.2992720Z Requirement already satisfied: six>=1.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.17.0)
2025-08-26T20:44:52.3063450Z Using cached boto3-1.35.33-py3-none-any.whl (139 kB)
2025-08-26T20:44:52.3115170Z Using cached psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl (239 kB)
2025-08-26T20:44:52.3151120Z Using cached pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-08-26T20:44:52.3171370Z Using cached nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-08-26T20:44:52.4855840Z Installing collected packages: nvidia-ml-py, pynvml, psutil, boto3
2025-08-26T20:44:52.5319720Z   Attempting uninstall: psutil
2025-08-26T20:44:52.5344790Z     Found existing installation: psutil 5.9.8
2025-08-26T20:44:52.5387220Z     Uninstalling psutil-5.9.8:
2025-08-26T20:44:52.5418750Z       Successfully uninstalled psutil-5.9.8
2025-08-26T20:44:52.6394410Z   Attempting uninstall: boto3
2025-08-26T20:44:52.6409130Z     Found existing installation: boto3 1.35.42
2025-08-26T20:44:52.6444910Z     Uninstalling boto3-1.35.42:
2025-08-26T20:44:52.6478360Z       Successfully uninstalled boto3-1.35.42
2025-08-26T20:44:52.6911260Z 
2025-08-26T20:44:52.6948910Z Successfully installed boto3-1.35.33 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0
2025-08-26T20:44:52.6983830Z 
2025-08-26T20:44:52.6984100Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-08-26T20:44:52.6984430Z [notice] To update, run: pip install --upgrade pip
2025-08-26T20:44:52.7483410Z + DEVICE_NAME=
2025-08-26T20:44:52.7483590Z + DEVICE_TYPE=
2025-08-26T20:44:52.7483770Z + command -v nvidia-smi
2025-08-26T20:44:52.7483960Z + command -v rocminfo
2025-08-26T20:44:52.7484180Z + echo DEVICE_NAME=
2025-08-26T20:44:52.7485480Z + echo DEVICE_TYPE=
2025-08-26T20:44:52.7519130Z ##[group]Run set -eux
2025-08-26T20:44:52.7519320Z set -eux
2025-08-26T20:44:52.7519480Z 
2025-08-26T20:44:52.7519650Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-08-26T20:44:52.7519920Z   echo "Missing github-token input"
2025-08-26T20:44:52.7520130Z   exit 1
2025-08-26T20:44:52.7520300Z fi
2025-08-26T20:44:52.7532870Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:44:52.7533120Z env:
2025-08-26T20:44:52.7533260Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:52.7533460Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:52.7533680Z   TEST_CONFIG: default
2025-08-26T20:44:52.7533850Z   SHARD_NUMBER: 1
2025-08-26T20:44:52.7534030Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:52.7534200Z   PR_BODY: 
2025-08-26T20:44:52.7534350Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:52.7534630Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:52.7534900Z   DEVICE_NAME: 
2025-08-26T20:44:52.7535050Z   DEVICE_TYPE: 
2025-08-26T20:44:52.7535470Z   GITHUB_TOKEN: ***
2025-08-26T20:44:52.7535840Z ##[endgroup]
2025-08-26T20:44:52.7743400Z + [[ -z *** ]]
2025-08-26T20:44:52.7793340Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-08-26T20:44:52.7793640Z with:
2025-08-26T20:44:52.7793930Z   github-token: ***
2025-08-26T20:44:52.7794090Z env:
2025-08-26T20:44:52.7794250Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:52.7794460Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:52.7794680Z   TEST_CONFIG: default
2025-08-26T20:44:52.7794860Z   SHARD_NUMBER: 1
2025-08-26T20:44:52.7795030Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:52.7795190Z   PR_BODY: 
2025-08-26T20:44:52.7795350Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:52.7795640Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:52.7795920Z   DEVICE_NAME: 
2025-08-26T20:44:52.7796080Z   DEVICE_TYPE: 
2025-08-26T20:44:52.7796250Z ##[endgroup]
2025-08-26T20:44:52.7806800Z ##[group]Run set -eux
2025-08-26T20:44:52.7806980Z set -eux
2025-08-26T20:44:52.7807150Z 
2025-08-26T20:44:52.7807470Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-26T20:44:52.7819890Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:44:52.7820270Z env:
2025-08-26T20:44:52.7820430Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:52.7820640Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:52.7820850Z   TEST_CONFIG: default
2025-08-26T20:44:52.7821030Z   SHARD_NUMBER: 1
2025-08-26T20:44:52.7821200Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:52.7821350Z   PR_BODY: 
2025-08-26T20:44:52.7821510Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:52.7821800Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:52.7822070Z   DEVICE_NAME: 
2025-08-26T20:44:52.7822230Z   DEVICE_TYPE: 
2025-08-26T20:44:52.7822530Z   GITHUB_TOKEN: ***
2025-08-26T20:44:52.7822690Z ##[endgroup]
2025-08-26T20:44:52.8026000Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17248463647 i-070c7c68d4a390303
2025-08-26T20:44:54.0918470Z setting job-id=48945196813
2025-08-26T20:44:54.0921110Z setting job-name=macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-26T20:44:54.1176940Z ##[group]Run set -eux
2025-08-26T20:44:54.1177410Z set -eux
2025-08-26T20:44:54.1177800Z 
2025-08-26T20:44:54.1178470Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-08-26T20:44:54.1179310Z   --schema-version "${SCHEMA_VERSION}" \
2025-08-26T20:44:54.1179910Z   --repo "${REPO}" \
2025-08-26T20:44:54.1180450Z   --head-branch "${HEAD_BRANCH}" \
2025-08-26T20:44:54.1181000Z   --head-sha "${HEAD_SHA}" \
2025-08-26T20:44:54.1181600Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-08-26T20:44:54.1182220Z   --run-attempt "${RUN_ATTEMPT}" \
2025-08-26T20:44:54.1182750Z   --job-id "${JOB_ID}" \
2025-08-26T20:44:54.1183330Z   --job-name "${JOB_NAME}"
2025-08-26T20:44:54.1220830Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:44:54.1221460Z env:
2025-08-26T20:44:54.1221840Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:54.1222380Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:54.1222890Z   TEST_CONFIG: default
2025-08-26T20:44:54.1223330Z   SHARD_NUMBER: 1
2025-08-26T20:44:54.1223740Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:54.1224160Z   PR_BODY: 
2025-08-26T20:44:54.1224570Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:54.1225230Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:54.1225910Z   DEVICE_NAME: 
2025-08-26T20:44:54.1226310Z   DEVICE_TYPE: 
2025-08-26T20:44:54.1226670Z   SCHEMA_VERSION: v3
2025-08-26T20:44:54.1227100Z   REPO: pytorch/pytorch
2025-08-26T20:44:54.1227580Z   HEAD_BRANCH: refs/heads/main
2025-08-26T20:44:54.1228130Z   HEAD_SHA: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:44:54.1229200Z   WORKFLOW_RUN_ID: 17248463647
2025-08-26T20:44:54.1229710Z   RUN_ATTEMPT: 1
2025-08-26T20:44:54.1230090Z   JOB_ID: 48945196813
2025-08-26T20:44:54.1230740Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-26T20:44:54.1231430Z ##[endgroup]
2025-08-26T20:44:54.1565430Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 262640fd220236042fbf4443cc163c8838c84c3d --workflow-id 17248463647 --run-attempt 1 --job-id 48945196813 --job-name 'macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)'
2025-08-26T20:44:54.1864080Z ##[group]Run set -eux
2025-08-26T20:44:54.1864280Z set -eux
2025-08-26T20:44:54.1864440Z 
2025-08-26T20:44:54.1864720Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-08-26T20:44:54.1876930Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:44:54.1877180Z env:
2025-08-26T20:44:54.1887040Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:54.1887270Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:54.1887520Z   TEST_CONFIG: default
2025-08-26T20:44:54.1887700Z   SHARD_NUMBER: 1
2025-08-26T20:44:54.1887930Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:54.1888110Z   PR_BODY: 
2025-08-26T20:44:54.1888280Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:54.1888560Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:54.1888850Z   DEVICE_NAME: 
2025-08-26T20:44:54.1889010Z   DEVICE_TYPE: 
2025-08-26T20:44:54.1889160Z ##[endgroup]
2025-08-26T20:44:54.2091380Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-08-26T20:44:55.1272890Z ##[group]Run set -eux
2025-08-26T20:44:55.1273140Z set -eux
2025-08-26T20:44:55.1273290Z 
2025-08-26T20:44:55.1273500Z # TODO (huydhn): Implement this part
2025-08-26T20:44:55.1273770Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:44:55.1328190Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:44:55.1328460Z env:
2025-08-26T20:44:55.1328610Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:55.1328850Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:55.1329060Z   TEST_CONFIG: default
2025-08-26T20:44:55.1329250Z   SHARD_NUMBER: 1
2025-08-26T20:44:55.1329420Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:55.1329590Z   PR_BODY: 
2025-08-26T20:44:55.1329770Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:55.1330050Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:55.1330340Z   DEVICE_NAME: 
2025-08-26T20:44:55.1330500Z   DEVICE_TYPE: 
2025-08-26T20:44:55.1330640Z ##[endgroup]
2025-08-26T20:44:55.1587340Z + echo 'dependencies={}'
2025-08-26T20:44:55.1611570Z ##[group]Run set -eux
2025-08-26T20:44:55.1611780Z set -eux
2025-08-26T20:44:55.1611970Z 
2025-08-26T20:44:55.1612220Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-08-26T20:44:55.1612550Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-08-26T20:44:55.1612910Z   # We don't want the job to fail if the directory doesn't exist
2025-08-26T20:44:55.1613180Z   exit 0
2025-08-26T20:44:55.1613350Z fi
2025-08-26T20:44:55.1613510Z 
2025-08-26T20:44:55.1613680Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-08-26T20:44:55.1614050Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-26T20:44:55.1614480Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-26T20:44:55.1614820Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-26T20:44:55.1615140Z     --runners "${RUNNER_INFO}" \
2025-08-26T20:44:55.1615410Z     --dependencies "${DEPENDENCIES}" \
2025-08-26T20:44:55.1615670Z     --dry-run
2025-08-26T20:44:55.1616010Z else
2025-08-26T20:44:55.1616380Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-26T20:44:55.1616890Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-26T20:44:55.1617210Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-26T20:44:55.1617460Z     --runners "${RUNNER_INFO}" \
2025-08-26T20:44:55.1617730Z     --dependencies "${DEPENDENCIES}"
2025-08-26T20:44:55.1617980Z fi
2025-08-26T20:44:55.1631090Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:44:55.1631350Z env:
2025-08-26T20:44:55.1631490Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:55.1631720Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:55.1631940Z   TEST_CONFIG: default
2025-08-26T20:44:55.1632110Z   SHARD_NUMBER: 1
2025-08-26T20:44:55.1632290Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:55.1632460Z   PR_BODY: 
2025-08-26T20:44:55.1632610Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:55.1632920Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:55.1633190Z   DEVICE_NAME: 
2025-08-26T20:44:55.1633330Z   DEVICE_TYPE: 
2025-08-26T20:44:55.1633510Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-08-26T20:44:55.1633810Z   DRY_RUN: false
2025-08-26T20:44:55.1634530Z   BENCHMARK_METADATA: {"timestamp": 1756241094, "schema_version": "v3", "name": "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463647, "run_attempt": 1, "job_id": 48945196813}
2025-08-26T20:44:55.1635520Z   RUNNER_INFO: [{"cpu_info": "arm", "cpu_count": 8, "avail_mem_in_gb": 16, "extra_info": {"hostname": "ip-10-0-3-208.ec2.internal"}, "name": "", "type": ""}]
2025-08-26T20:44:55.1635930Z   DEPENDENCIES: {}
2025-08-26T20:44:55.1636100Z ##[endgroup]
2025-08-26T20:44:55.1835770Z + [[ ! -d test/test-reports ]]
2025-08-26T20:44:55.1836160Z + [[ false == \t\r\u\e ]]
2025-08-26T20:44:55.1837910Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1756241094, "schema_version": "v3", "name": "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463647, "run_attempt": 1, "job_id": 48945196813}' --runners '[{"cpu_info": "arm", "cpu_count": 8, "avail_mem_in_gb": 16, "extra_info": {"hostname": "ip-10-0-3-208.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-08-26T20:44:55.2783800Z /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'test_type_hints'}, {'test_file': 'test_dataloader'}, {'test_file': 'test_cuda'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'test_sparse'}, {'test_file': 'doctests'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'inductor/test_segmented_tree'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'inductor/test_move_constructors_to_cuda'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'export/test_serdes'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'export/test_export_with_inline_and_install'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'export/test_tools'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'inductor/test_cutedsl_template'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'export/test_package'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'inductor/test_config'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'export/test_db'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'export/test_passes'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'export/test_export_opinfo'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'export/test_export'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'export/test_swap'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'export/test_nativert'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'export/test_schema'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'test_pruning_op'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'export/test_hop'}, {'test_file': 'export/test_converter'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'export/test_experimental'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'export/test_serialize'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'export/test_verifier'}, {'test_file': 'export/test_sparse'}, {'test_file': 'test_autograd'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'test_utils'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_package'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'test_fx'}, {'test_file': 'test_decomp'}, {'test_file': 'test_transformers'}, {'test_file': 'test_transformers_privateuse1'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_ops_jit'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'test_modules'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'test_hop_infra'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'test_license'}, {'test_file': 'test_autoload'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'test_extension_utils'}, {'test_file': 'test_openreg'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_foreach'}, {'test_file': 'test_flop_counter'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'test_file_check'}, {'test_file': 'test_functionalization'}, {'test_file': 'test_testing'}, {'test_file': 'test_jit'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'test_openmp'}, {'test_file': 'test_show_pickle'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'test_torch'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'test_module_tracker'}, {'test_file': 'test_ops'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'test_native_functions'}, {'test_file': 'test_namedtensor'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'test_custom_ops'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'test_typing'}, {'test_file': 'test_optim'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'test_fx_passes'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'test_pytree'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'test_jiterator'}, {'test_file': 'test_complex'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'test_weak'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'test_overrides'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'test_hub'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'test_meta'}, {'test_file': 'test_content_store'}, {'test_file': 'test_stateless'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'test_reductions'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'test_logging'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_subclass'}, {'test_file': 'test_itt'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'test_masked'}, {'test_file': 'test_monitor'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_autocast'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'test_nn'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'test_import_stats'}, {'test_file': 'test_tensorboard'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'test_public_bindings'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_functional_optim'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'test_futures'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_linalg'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'optim/test_optim'}, {'test_file': 'test_native_mha'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'test_vulkan'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_shape_ops'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_type_info'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'test_serialization'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_view_ops'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'test_mkldnn'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'nn/test_init'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'test_accelerator'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'test_function_schema'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'test_type_promotion'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_quantization'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_prims'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-41f0d68d94056414557d.json is not a benchmark record, skipping
2025-08-26T20:44:55.2824560Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-26T20:44:55.2921210Z Prepare all required actions
2025-08-26T20:44:55.2921530Z Getting action download info
2025-08-26T20:44:55.4301510Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-08-26T20:44:55.4301960Z with:
2025-08-26T20:44:55.4302210Z   job_id: 48945196813
2025-08-26T20:44:55.4302640Z   job_name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-26T20:44:55.4303150Z   workflow_name: trunk
2025-08-26T20:44:55.4303470Z   workflow_run_id: 17248463647
2025-08-26T20:44:55.4303780Z   workflow_attempt: 1
2025-08-26T20:44:55.4304120Z   local_path: usage_log.txt
2025-08-26T20:44:55.4304440Z env:
2025-08-26T20:44:55.4304670Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:55.4305040Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:55.4305420Z   TEST_CONFIG: default
2025-08-26T20:44:55.4305700Z   SHARD_NUMBER: 1
2025-08-26T20:44:55.4306000Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:55.4306290Z   PR_BODY: 
2025-08-26T20:44:55.4306550Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:55.4307070Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:55.4307530Z   DEVICE_NAME: 
2025-08-26T20:44:55.4307780Z   DEVICE_TYPE: 
2025-08-26T20:44:55.4308040Z ##[endgroup]
2025-08-26T20:44:55.4328220Z ##[group]Run echo "workflow_id: 17248463647"
2025-08-26T20:44:55.4328680Z echo "workflow_id: 17248463647"
2025-08-26T20:44:55.4329050Z echo "workflow_attempt: 1"
2025-08-26T20:44:55.4329410Z echo "workflow_Name: trunk"
2025-08-26T20:44:55.4329760Z echo "job_id: 48945196813"
2025-08-26T20:44:55.4330290Z echo "job_name:  macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)"
2025-08-26T20:44:55.4330890Z echo "artifact_prefix: "
2025-08-26T20:44:55.4331250Z python3 --version
2025-08-26T20:44:55.4361400Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:44:55.4361830Z env:
2025-08-26T20:44:55.4362140Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:55.4362520Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:55.4363010Z   TEST_CONFIG: default
2025-08-26T20:44:55.4363290Z   SHARD_NUMBER: 1
2025-08-26T20:44:55.4363550Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:55.4363830Z   PR_BODY: 
2025-08-26T20:44:55.4364080Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:55.4364550Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:55.4365030Z   DEVICE_NAME: 
2025-08-26T20:44:55.4365290Z   DEVICE_TYPE: 
2025-08-26T20:44:55.4365540Z ##[endgroup]
2025-08-26T20:44:55.4630250Z workflow_id: 17248463647
2025-08-26T20:44:55.4630590Z workflow_attempt: 1
2025-08-26T20:44:55.4630800Z workflow_Name: trunk
2025-08-26T20:44:55.4631010Z job_id: 48945196813
2025-08-26T20:44:55.4631360Z job_name:  macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-26T20:44:55.4631700Z artifact_prefix: 
2025-08-26T20:44:55.4696050Z Python 3.12.11
2025-08-26T20:44:55.4752030Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T20:44:55.4752250Z with:
2025-08-26T20:44:55.4752420Z   shell: bash
2025-08-26T20:44:55.4752580Z   timeout_minutes: 5
2025-08-26T20:44:55.4752770Z   max_attempts: 5
2025-08-26T20:44:55.4752950Z   retry_wait_seconds: 30
2025-08-26T20:44:55.4753340Z   command: set -eu
python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7

2025-08-26T20:44:55.4753750Z   polling_interval_seconds: 1
2025-08-26T20:44:55.4753970Z   warning_on_retry: true
2025-08-26T20:44:55.4754160Z   continue_on_error: false
2025-08-26T20:44:55.4754350Z env:
2025-08-26T20:44:55.4754510Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:55.4754710Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:55.4754940Z   TEST_CONFIG: default
2025-08-26T20:44:55.4755130Z   SHARD_NUMBER: 1
2025-08-26T20:44:55.4755290Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:55.4755510Z   PR_BODY: 
2025-08-26T20:44:55.4755720Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:55.4756150Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:55.4756430Z   DEVICE_NAME: 
2025-08-26T20:44:55.4756890Z   DEVICE_TYPE: 
2025-08-26T20:44:55.4757040Z ##[endgroup]
2025-08-26T20:44:55.7565070Z Collecting python-dateutil==2.8.2
2025-08-26T20:44:55.7585240Z   Using cached python_dateutil-2.8.2-py2.py3-none-any.whl.metadata (8.2 kB)
2025-08-26T20:44:55.8909610Z Collecting boto3==1.35.42
2025-08-26T20:44:55.8932390Z   Using cached boto3-1.35.42-py3-none-any.whl.metadata (6.7 kB)
2025-08-26T20:44:55.9582850Z Collecting pandas==2.1.3
2025-08-26T20:44:55.9617230Z   Using cached pandas-2.1.3-cp312-cp312-macosx_11_0_arm64.whl.metadata (18 kB)
2025-08-26T20:44:55.9744480Z Requirement already satisfied: dataclasses_json==0.6.7 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (0.6.7)
2025-08-26T20:44:55.9749520Z Requirement already satisfied: six>=1.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from python-dateutil==2.8.2) (1.17.0)
2025-08-26T20:44:55.9755300Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from boto3==1.35.42) (1.35.99)
2025-08-26T20:44:55.9757470Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from boto3==1.35.42) (1.0.1)
2025-08-26T20:44:55.9760920Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from boto3==1.35.42) (0.10.4)
2025-08-26T20:44:55.9767270Z Requirement already satisfied: numpy<2,>=1.26.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from pandas==2.1.3) (1.26.4)
2025-08-26T20:44:55.9994730Z Collecting pytz>=2020.1 (from pandas==2.1.3)
2025-08-26T20:44:56.0015160Z   Using cached pytz-2025.2-py2.py3-none-any.whl.metadata (22 kB)
2025-08-26T20:44:56.0138160Z Collecting tzdata>=2022.1 (from pandas==2.1.3)
2025-08-26T20:44:56.0158150Z   Using cached tzdata-2025.2-py2.py3-none-any.whl.metadata (1.4 kB)
2025-08-26T20:44:56.0199660Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from dataclasses_json==0.6.7) (3.26.1)
2025-08-26T20:44:56.0202810Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from dataclasses_json==0.6.7) (0.9.0)
2025-08-26T20:44:56.0224930Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.26.20)
2025-08-26T20:44:56.0233630Z Requirement already satisfied: packaging>=17.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (23.1)
2025-08-26T20:44:56.0267530Z Requirement already satisfied: mypy-extensions>=0.3.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0)
2025-08-26T20:44:56.0269980Z Requirement already satisfied: typing-extensions>=3.7.4 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561/lib/python3.12/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.12.2)
2025-08-26T20:44:56.0322940Z Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-08-26T20:44:56.0356010Z Using cached boto3-1.35.42-py3-none-any.whl (139 kB)
2025-08-26T20:44:56.0381940Z Using cached pandas-2.1.3-cp312-cp312-macosx_11_0_arm64.whl (10.6 MB)
2025-08-26T20:44:56.0715150Z Using cached pytz-2025.2-py2.py3-none-any.whl (509 kB)
2025-08-26T20:44:56.0768880Z Using cached tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-08-26T20:44:56.1697690Z Installing collected packages: pytz, tzdata, python-dateutil, pandas, boto3
2025-08-26T20:44:56.3052140Z   Attempting uninstall: python-dateutil
2025-08-26T20:44:56.3073610Z     Found existing installation: python-dateutil 2.9.0.post0
2025-08-26T20:44:56.3097220Z     Uninstalling python-dateutil-2.9.0.post0:
2025-08-26T20:44:56.3110340Z       Successfully uninstalled python-dateutil-2.9.0.post0
2025-08-26T20:44:58.8809210Z   Attempting uninstall: boto3
2025-08-26T20:44:58.8862940Z     Found existing installation: boto3 1.35.33
2025-08-26T20:44:58.8893080Z     Uninstalling boto3-1.35.33:
2025-08-26T20:44:58.8907710Z       Successfully uninstalled boto3-1.35.33
2025-08-26T20:44:58.9335670Z 
2025-08-26T20:44:58.9374360Z Successfully installed boto3-1.35.42 pandas-2.1.3 python-dateutil-2.8.2 pytz-2025.2 tzdata-2025.2
2025-08-26T20:44:58.9404890Z 
2025-08-26T20:44:58.9405170Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-08-26T20:44:58.9405530Z [notice] To update, run: pip install --upgrade pip
2025-08-26T20:44:59.5577170Z Command completed after 1 attempt(s).
2025-08-26T20:44:59.5804610Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-26T20:44:59.5805920Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-26T20:44:59.5807440Z   --workflow-run-id "17248463647" \
2025-08-26T20:44:59.5808550Z   --workflow-name "trunk" \
2025-08-26T20:44:59.5809440Z   --workflow-run-attempt "1" \
2025-08-26T20:44:59.5810260Z   --job-id "48945196813" \
2025-08-26T20:44:59.5811460Z   --job-name "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)" \
2025-08-26T20:44:59.5812690Z   --local-path "usage_log.txt" \
2025-08-26T20:44:59.5813580Z   --artifact-prefix ""
2025-08-26T20:44:59.5954630Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:44:59.5955410Z env:
2025-08-26T20:44:59.5955880Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:44:59.5956510Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:44:59.5957170Z   TEST_CONFIG: default
2025-08-26T20:44:59.5957660Z   SHARD_NUMBER: 1
2025-08-26T20:44:59.5958640Z   NUM_TEST_SHARDS: 3
2025-08-26T20:44:59.5959130Z   PR_BODY: 
2025-08-26T20:44:59.5959580Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:44:59.5960320Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:44:59.5961110Z   DEVICE_NAME: 
2025-08-26T20:44:59.5961540Z   DEVICE_TYPE: 
2025-08-26T20:44:59.5962010Z ##[endgroup]
2025-08-26T20:45:02.6138790Z repo: pytorch/pytorch
2025-08-26T20:45:02.6139160Z Converted Log Model: UtilizationMetadata:
2025-08-26T20:45:02.6140160Z  UtilizationMetadata(level='metadata', workflow_id='17248463647', job_id='48945196813', workflow_name='trunk', job_name='macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1756237587, gpu_count=0, cpu_count=8, gpu_type=None, error=None)
2025-08-26T20:45:02.6141260Z [Db Segments] detected pytest cmd: 0, generated segments: 0
2025-08-26T20:45:02.6142010Z [db model] Peek db timeseries 
2025-08-26T20:45:02.6142260Z :{
2025-08-26T20:45:02.6142500Z     "created_at": 1756241102,
2025-08-26T20:45:02.6142750Z     "type": "utilization",
2025-08-26T20:45:02.6142970Z     "tags": [
2025-08-26T20:45:02.6143170Z         "record"
2025-08-26T20:45:02.6143350Z     ],
2025-08-26T20:45:02.6143540Z     "time_stamp": 1756237587,
2025-08-26T20:45:02.6143800Z     "repo": "pytorch/pytorch",
2025-08-26T20:45:02.6144030Z     "workflow_id": 17248463647,
2025-08-26T20:45:02.6144280Z     "run_attempt": 1,
2025-08-26T20:45:02.6144510Z     "job_id": 48945196813,
2025-08-26T20:45:02.6144760Z     "workflow_name": "trunk",
2025-08-26T20:45:02.6145130Z     "job_name": "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)",
2025-08-26T20:45:02.6145690Z     "json_data": "{\"cpu\": {\"avg\": 0.0, \"max\": 0.0, \"raw\": [0.0]}, \"memory\": {\"avg\": 24.6, \"max\": 24.6, \"raw\": [24.6]}, \"gpu_usage\": null}"
2025-08-26T20:45:02.6146160Z }
2025-08-26T20:45:02.6146620Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463647/1/48945196813/metadata
2025-08-26T20:45:02.6147830Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463647/1/48945196813/metadata 
2025-08-26T20:45:02.6148640Z Writing 699 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463647/1/48945196813/time_series
2025-08-26T20:45:02.6149470Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463647/1/48945196813/time_series 
2025-08-26T20:45:02.6922680Z ##[group]Run if [[ -n "$REINSTALL_BREW_MINICONDA" ]]; then
2025-08-26T20:45:02.6923040Z if [[ -n "$REINSTALL_BREW_MINICONDA" ]]; then
2025-08-26T20:45:02.6923300Z     brew install --cask miniconda
2025-08-26T20:45:02.6923530Z fi
2025-08-26T20:45:02.6942020Z shell: /bin/bash -e -l {0}
2025-08-26T20:45:02.6942210Z env:
2025-08-26T20:45:02.6942380Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:45:02.6942610Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:45:02.6942820Z   TEST_CONFIG: default
2025-08-26T20:45:02.6943020Z   SHARD_NUMBER: 1
2025-08-26T20:45:02.6943180Z   NUM_TEST_SHARDS: 3
2025-08-26T20:45:02.6943370Z   PR_BODY: 
2025-08-26T20:45:02.6943550Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:45:02.6943870Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:45:02.6944170Z   DEVICE_NAME: 
2025-08-26T20:45:02.6944350Z   DEVICE_TYPE: 
2025-08-26T20:45:02.6944570Z ##[endgroup]
2025-08-26T20:45:04.2351770Z ==> Caveats
2025-08-26T20:45:04.2352090Z Please run the following to setup your shell:
2025-08-26T20:45:04.2352380Z   conda init "$(basename "${SHELL}")"
2025-08-26T20:45:04.2352540Z 
2025-08-26T20:45:04.2352700Z Alternatively, manually add the following to your shell init:
2025-08-26T20:45:04.2353020Z   eval "$(conda "shell.$(basename "${SHELL}")" hook)"
2025-08-26T20:45:04.2353220Z 
2025-08-26T20:45:04.2400570Z ==> Downloading https://repo.anaconda.com/miniconda/Miniconda3-py313_25.7.0-2-MacOSX-arm64.sh
2025-08-26T20:45:04.4375230Z Already downloaded: /Users/ec2-user/Library/Caches/Homebrew/downloads/60f9c25f1c65a6000428ff0ff524a5414829fcebbff9cac3bc2e84a1e6c1abc6--Miniconda3-py313_25.7.0-2-MacOSX-arm64.sh
2025-08-26T20:45:06.5109480Z ==> Installing Cask miniconda
2025-08-26T20:45:06.8004960Z ==> Running installer script 'Miniconda3-py313_25.7.0-2-MacOSX-arm64.sh'
2025-08-26T20:45:07.7654680Z PREFIX=/opt/homebrew/Caskroom/miniconda/base
2025-08-26T20:45:08.0456100Z Unpacking bootstrapper...
2025-08-26T20:45:08.1488860Z Unpacking payload...
2025-08-26T20:45:20.5795190Z 
2025-08-26T20:45:20.5795530Z Installing base environment...
2025-08-26T20:45:20.5795750Z 
2025-08-26T20:45:24.9142380Z Preparing transaction: ...working... done
2025-08-26T20:45:36.6572980Z Executing transaction: ...working... 
2025-08-26T20:45:36.6573480Z done
2025-08-26T20:45:38.9618380Z installation finished.
2025-08-26T20:45:38.9626870Z ==> Linking Binary 'conda' to '/opt/homebrew/bin/conda'
2025-08-26T20:45:39.0856970Z 🍺  miniconda was successfully installed!
2025-08-26T20:45:39.0935360Z ==> No outdated dependents to upgrade!
2025-08-26T20:45:39.1068280Z ##[group]Run pytorch/test-infra/.github/actions/check-disk-space@main
2025-08-26T20:45:39.1068570Z with:
2025-08-26T20:45:39.1068750Z   minimum-available-space-in-gb: 6
2025-08-26T20:45:39.1068960Z env:
2025-08-26T20:45:39.1069100Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:45:39.1069320Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:45:39.1069690Z   TEST_CONFIG: default
2025-08-26T20:45:39.1069860Z   SHARD_NUMBER: 1
2025-08-26T20:45:39.1070030Z   NUM_TEST_SHARDS: 3
2025-08-26T20:45:39.1070210Z   PR_BODY: 
2025-08-26T20:45:39.1070360Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:45:39.1070640Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:45:39.1070910Z   DEVICE_NAME: 
2025-08-26T20:45:39.1071060Z   DEVICE_TYPE: 
2025-08-26T20:45:39.1071230Z ##[endgroup]
2025-08-26T20:45:39.1089830Z ##[group]Run echo "Print the available disk space for manual inspection"
2025-08-26T20:45:39.1090280Z echo "Print the available disk space for manual inspection"
2025-08-26T20:45:39.1090560Z df -h
2025-08-26T20:45:39.1090710Z 
2025-08-26T20:45:39.1090870Z function check_disk_space() {
2025-08-26T20:45:39.1091080Z   set +e
2025-08-26T20:45:39.1091230Z 
2025-08-26T20:45:39.1091410Z   # Set the minimum requirement space to 6GB
2025-08-26T20:45:39.1091800Z   MINIMUM_AVAILABLE_SPACE_IN_KB=$(($MINIMUM_AVAILABLE_SPACE_IN_GB * 1024 * 1024))
2025-08-26T20:45:39.1092090Z 
2025-08-26T20:45:39.1092290Z   # Use KB to avoid floating point warning like 3.1GB
2025-08-26T20:45:39.1092600Z   df -k | tr -s ' ' | cut -d' ' -f 4,9 | while read -r LINE;
2025-08-26T20:45:39.1092840Z   do
2025-08-26T20:45:39.1093000Z     AVAIL=$(echo $LINE | cut -f1 -d' ')
2025-08-26T20:45:39.1093230Z     MOUNT=$(echo $LINE | cut -f2 -d' ')
2025-08-26T20:45:39.1093500Z 
2025-08-26T20:45:39.1093650Z     if [ "${MOUNT}" = "/" ]; then
2025-08-26T20:45:39.1093940Z       if [ "${AVAIL}" -lt "${MINIMUM_AVAILABLE_SPACE_IN_KB}" ]; then
2025-08-26T20:45:39.1094480Z         echo "Failure: There is only ${AVAIL}KB free space left in ${MOUNT}, which is less than the minimum requirement of ${MINIMUM_AVAILABLE_SPACE_IN_KB}KB for ${RUNNER_OS}"
2025-08-26T20:45:39.1094940Z       else
2025-08-26T20:45:39.1095250Z         echo "Success: There is ${AVAIL}KB free space left in ${MOUNT} for ${RUNNER_OS}, continue"
2025-08-26T20:45:39.1095560Z       fi
2025-08-26T20:45:39.1095740Z     fi
2025-08-26T20:45:39.1095880Z   done
2025-08-26T20:45:39.1096020Z 
2025-08-26T20:45:39.1096160Z   set -e
2025-08-26T20:45:39.1096310Z }
2025-08-26T20:45:39.1096460Z 
2025-08-26T20:45:39.1096600Z RESULT=$(check_disk_space)
2025-08-26T20:45:39.1096900Z echo "${RESULT}"
2025-08-26T20:45:39.1097080Z 
2025-08-26T20:45:39.1097300Z if [[ "${RESULT}" == *Failure* && "${RUNNER_OS}" == "macOS" ]]; then
2025-08-26T20:45:39.1097820Z   # We can clean up /System/Library/Caches/com.apple.coresymbolicationd on MacOS to free up the space and this should free up enough space
2025-08-26T20:45:39.1098330Z   # https://github.com/pytorch/pytorch/issues/85440
2025-08-26T20:45:39.1098700Z   sudo rm "/System/Library/Caches/com.apple.coresymbolicationd/data" || true
2025-08-26T20:45:39.1099190Z   # Stop the daemon and launchctl will automatically start it again, thus accomplish a restart and free up the above file
2025-08-26T20:45:39.1099690Z   sudo launchctl stop com.apple.coresymbolicationd || true
2025-08-26T20:45:39.1100050Z 
2025-08-26T20:45:39.1100200Z   # Clean up crash reports on the runner
2025-08-26T20:45:39.1100520Z   sudo rm -rf "/System/Volumes/Data/Library/Logs/CrashReporter" || true
2025-08-26T20:45:39.1100790Z 
2025-08-26T20:45:39.1101170Z   # Also try to clean up torch.hub caching directory
2025-08-26T20:45:39.1101470Z   rm -rf "${HOME}/.cache/torch/hub" || true
2025-08-26T20:45:39.1101700Z 
2025-08-26T20:45:39.1101840Z   # Purge conda
2025-08-26T20:45:39.1102010Z   conda clean -p -t -y || true
2025-08-26T20:45:39.1102240Z   # and pip cache
2025-08-26T20:45:39.1102430Z   pip cache purge || true
2025-08-26T20:45:39.1102630Z 
2025-08-26T20:45:39.1102840Z   echo "Re-run disk space check for ${RUNNER_OS} after cleaning up"
2025-08-26T20:45:39.1103120Z   # Re-run the check
2025-08-26T20:45:39.1103330Z   RESULT=$(check_disk_space)
2025-08-26T20:45:39.1103550Z   echo "${RESULT}"
2025-08-26T20:45:39.1103710Z fi
2025-08-26T20:45:39.1103840Z 
2025-08-26T20:45:39.1104010Z if [[ "${RESULT}" == *Failure* ]]; then
2025-08-26T20:45:39.1104230Z   df -h
2025-08-26T20:45:39.1104400Z 
2025-08-26T20:45:39.1104860Z   echo "Please help create an issue to PyTorch Release Engineering via https://github.com/pytorch/test-infra/issues and provide the link to the workflow run."
2025-08-26T20:45:39.1105340Z   exit 1
2025-08-26T20:45:39.1105500Z fi
2025-08-26T20:45:39.1122840Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:45:39.1123100Z env:
2025-08-26T20:45:39.1123260Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:45:39.1123470Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-26T20:45:39.1123670Z   TEST_CONFIG: default
2025-08-26T20:45:39.1123830Z   SHARD_NUMBER: 1
2025-08-26T20:45:39.1123980Z   NUM_TEST_SHARDS: 3
2025-08-26T20:45:39.1124180Z   PR_BODY: 
2025-08-26T20:45:39.1124330Z   REINSTALL_BREW_MINICONDA: 1
2025-08-26T20:45:39.1124590Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:45:39.1124840Z   DEVICE_NAME: 
2025-08-26T20:45:39.1124990Z   DEVICE_TYPE: 
2025-08-26T20:45:39.1125140Z   MINIMUM_AVAILABLE_SPACE_IN_GB: 6
2025-08-26T20:45:39.1125320Z ##[endgroup]
2025-08-26T20:45:39.1332090Z Print the available disk space for manual inspection
2025-08-26T20:45:39.1345880Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-08-26T20:45:39.1346310Z /dev/disk5s2s1   256Gi   9.5Gi   166Gi     6%    404k  1.7G    0%   /
2025-08-26T20:45:39.1346670Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-08-26T20:45:39.1347060Z /dev/disk5s5     256Gi   2.0Gi   166Gi     2%       2  1.7G    0%   /System/Volumes/VM
2025-08-26T20:45:39.1347480Z /dev/disk5s3     256Gi   5.7Gi   166Gi     4%    1.0k  1.7G    0%   /System/Volumes/Preboot
2025-08-26T20:45:39.1347930Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-08-26T20:45:39.1348340Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-08-26T20:45:39.1349010Z /dev/disk1s3     500Mi   868Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-08-26T20:45:39.1349430Z /dev/disk5s1     256Gi    71Gi   166Gi    30%    3.9M  1.7G    0%   /System/Volumes/Data
2025-08-26T20:45:39.1349810Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-08-26T20:45:39.1350230Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-Y4iZbF
2025-08-26T20:45:39.1749050Z Success: There is 174535076KB free space left in / for macOS, continue
2025-08-26T20:45:39.1793900Z Post job cleanup.
2025-08-26T20:45:39.2190620Z Removing virtual environment at /Users/ec2-user/runner/_work/_temp/venv-3.12-1756237561
2025-08-26T20:45:42.9709330Z Post job cleanup.
2025-08-26T20:45:42.9752810Z Post job cleanup.
2025-08-26T20:45:43.0578120Z [command]/usr/bin/git version
2025-08-26T20:45:43.0656180Z git version 2.39.3 (Apple Git-146)
2025-08-26T20:45:43.0675840Z Copying '/Users/ec2-user/.gitconfig' to '/Users/ec2-user/runner/_work/_temp/60c10f49-bc86-4e1f-9ecc-57c67a0de3f3/.gitconfig'
2025-08-26T20:45:43.0681390Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/60c10f49-bc86-4e1f-9ecc-57c67a0de3f3' before making global git config changes
2025-08-26T20:45:43.0682020Z Adding repository directory to the temporary git global config as a safe directory
2025-08-26T20:45:43.0683880Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/pytorch/pytorch
2025-08-26T20:45:43.0750940Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-26T20:45:43.0811390Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
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2025-08-26T20:45:44.1139110Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-26T20:45:44.1196730Z http.https://github.com/.extraheader
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2025-08-26T20:45:44.1264260Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
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2025-08-26T20:45:45.1586480Z http.https://github.com/.extraheader
2025-08-26T20:45:45.1651260Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:45:45.1717070Z http.https://github.com/.extraheader
2025-08-26T20:45:45.1790740Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:45:45.1856610Z http.https://github.com/.extraheader
2025-08-26T20:45:45.1929200Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:45:45.1995190Z http.https://github.com/.extraheader
2025-08-26T20:45:45.2061410Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:45:45.2127180Z http.https://github.com/.extraheader
2025-08-26T20:45:45.2191890Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:45:45.2257110Z http.https://github.com/.extraheader
2025-08-26T20:45:45.2388880Z A job completed hook has been configured by the self-hosted runner administrator
2025-08-26T20:45:45.2417860Z ##[group]Run '/opt/runner_scripts/post-job.sh'
2025-08-26T20:45:45.2429780Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:45:45.2430020Z ##[endgroup]
2025-08-26T20:45:45.2698790Z + df -h
2025-08-26T20:45:45.2719740Z + ls -t /var/log/post_job
2025-08-26T20:45:45.2720390Z + awk 'NR>100'
2025-08-26T20:45:45.2720570Z + xargs rm -fv
2025-08-26T20:45:45.8733930Z + Checking if runner needs to be terminated...ok
2025-08-26T20:45:45.8734240Z + Outputting disk space
2025-08-26T20:45:45.8734560Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-08-26T20:45:45.8734970Z /dev/disk5s2s1   256Gi   9.5Gi   168Gi     6%    404k  1.8G    0%   /
2025-08-26T20:45:45.8735500Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-08-26T20:45:45.8735910Z /dev/disk5s5     256Gi   2.0Gi   168Gi     2%       2  1.8G    0%   /System/Volumes/VM
2025-08-26T20:45:45.8736430Z /dev/disk5s3     256Gi   5.7Gi   168Gi     4%    1.0k  1.8G    0%   /System/Volumes/Preboot
2025-08-26T20:45:45.8737070Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-08-26T20:45:45.8737600Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-08-26T20:45:45.8738020Z /dev/disk1s3     500Mi   868Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-08-26T20:45:45.8738530Z /dev/disk5s1     256Gi    70Gi   168Gi    30%    3.9M  1.8G    0%   /System/Volumes/Data
2025-08-26T20:45:45.8739210Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-08-26T20:45:45.8739650Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-Y4iZbF
2025-08-26T20:45:45.8740200Z + Cleaning up old logs (Keep the latest 100)
2025-08-26T20:45:45.9357010Z + Restoring SSH key to be the skeleton key
2025-08-26T20:45:45.9449000Z Cleaning up orphan processes